Jobs Dashboard

Personal job monitoring dashboard

70
Total Jobs
68
Active Jobs
2
Inactive Jobs
Title Company Category Posted Status
Amazon EU Sarl Research Science 20 Jan, 2025 Inactive
Amazon EU Sarl - A84 Software Development 26 Mar, 2026 Inactive
Amazon CS Management Sarl - P11 Software Development 02 Apr, 2026 Active
Amazon Customs and Trade EU SARL - T17 Software Development 02 Apr, 2026 Active
Amazon EU Sarl Project/Program/Product Management--Technical 19 Nov, 2025 Active
Amazon EU Sarl Data Science 02 Mar, 2026 Active
Amazon EU Sarl - A84 Machine Learning Science 18 Nov, 2025 Active
Amazon EU Sarl - A84 Software Development 04 Sep, 2025 Active
Amazon EU SARL Business Intelligence 18 Feb, 2026 Active
Amazon EU Sarl - A84 Data Science 12 Nov, 2025 Active
Amazon EU Sarl - A84 Software Development 27 Jan, 2026 Active
Amazon EU Sarl - A84 Business Intelligence 13 Oct, 2025 Active
Luxembourg Institute of Science and Technology (LIST) Machine Learning Science 17 Mar, 2026 Active
Luxembourg Institute of Science and Technology (LIST) Operations, IT, & Support Engineering 17 Mar, 2026 Active
Aubay Business Intelligence 17 Mar, 2026 Active
Swiss Life Group Software Development 17 Mar, 2026 Active
PwC Luxembourg Business Intelligence 16 Mar, 2026 Active
Quik Hire Staffing Software Development 16 Mar, 2026 Active
EKXEL IT Services & Financial Engineering Business Intelligence 16 Mar, 2026 Active
State Street Business Intelligence 16 Mar, 2026 Active
Quik Hire Staffing Software Development 16 Mar, 2026 Active
Taskify AI Software Development 16 Mar, 2026 Active
TMC Operations, IT, & Support Engineering 20 Mar, 2026 Active
OG Recruitment S.à r.l. Software Development 19 Mar, 2026 Active
Luxair Software Development 19 Mar, 2026 Active
Delta Consulting Business Intelligence 18 Mar, 2026 Active
COSMOTE GLOBAL SOLUTIONS NV Software Development 18 Mar, 2026 Active
Delta Consulting Software Development 18 Mar, 2026 Active
Delta Consulting Company Software Development 18 Mar, 2026 Active
Infeurope Software Development 19 Mar, 2026 Active
Delta Consulting Company Business Intelligence 18 Mar, 2026 Active
Groupe Encevo Machine Learning Science 25 Mar, 2026 Active
Enovos Machine Learning Science 25 Mar, 2026 Active
Accenture Operations, IT, & Support Engineering 25 Mar, 2026 Active
Université du Luxembourg Machine Learning Science 25 Mar, 2026 Active
NRB Software Development 25 Mar, 2026 Active
Deloitte Luxembourg Business Intelligence 24 Mar, 2026 Active
SLG Machine Learning Science 24 Mar, 2026 Active
Proximus Luxembourg Operations, IT, & Support Engineering 24 Mar, 2026 Active
Qualco Software Development 24 Mar, 2026 Active
ADVISORY KEY Business Intelligence 21 Mar, 2026 Active
The Whiteam Business Intelligence 30 Mar, 2026 Active
Cargolux Airlines Intl. Other 30 Mar, 2026 Active
Proximus Luxembourg Machine Learning Science 28 Mar, 2026 Active
Accenture Data Science 27 Mar, 2026 Active
LuxTrust Operations, IT, & Support Engineering 26 Mar, 2026 Active
ADVISORY KEY Software Development 26 Mar, 2026 Active
COSMOTE GLOBAL SOLUTIONS NV Operations, IT, & Support Engineering 31 Mar, 2026 Active
COSMOTE GLOBAL SOLUTIONS NV Software Development 31 Mar, 2026 Active
Proximus Luxembourg Operations, IT, & Support Engineering 04 Apr, 2026 Active
Luxembourg Institute of Science and Technology (LIST) Other 03 Apr, 2026 Active
Luxembourg Institute of Health Software Development 03 Apr, 2026 Active
RTL Group / BCE Operations, IT, & Support Engineering 03 Apr, 2026 Active
SES Other 02 Apr, 2026 Active
SES Other 02 Apr, 2026 Active
Luxembourg Institute of Science and Technology (LIST) Machine Learning Science 02 Apr, 2026 Active
SES Other 02 Apr, 2026 Active
PwC Business Intelligence 01 Apr, 2026 Active
Accenture Machine Learning Science 01 Apr, 2026 Active
COSMOTE GLOBAL SOLUTIONS NV Software Development 01 Apr, 2026 Active
Amaris Consulting Software Development 01 Apr, 2026 Active
SquareDEV Software Development 01 Apr, 2026 Active
Amaris Consulting Other 01 Apr, 2026 Active
EmTroniX Software Development 01 Apr, 2026 Active
Quintet Private Bank Software Development 01 Apr, 2026 Active
SquareDev Software Development 01 Apr, 2026 Active
United Nations Machine Learning Science 01 Apr, 2026 Active
Quintet Private Bank Software Development 01 Apr, 2026 Active
Luxembourg Institute of Health Operations, IT, & Support Engineering 03 Apr, 2026 Active
Luxembourg Institute of Health Other 03 Apr, 2026 Active

Top Skills for All Categories

nan
102.9%
License or Master qualification in Computer Science, Data Engineering or equivalent
5.7%
English speaking are mandatory, additional language is considered as an advantage
5.7%
Strong communication skills; able to collaborate with stakeholders across technical and non-technical backgrounds
4.3%
Fluent in English (written and oral); French or German is an asset
4.3%
Eligibility for ESA/EU/NATO/National SECRET personnel security clearances. Candidates must be prepared to undergo a security clearance procedure, as this position may require holding such clearance, is considered an asset
4.3%
Willing to work at least 60% onsite from office
4.3%
Able to travel nationally & internationally SES and its Affiliated Companies are committed to providing fair and equal employment opportunities to all. We are an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, gender, pregnancy, sex, sexual orientation, gender identity, national origin, age, genetic information, protected veteran status, disability, or any other basis protected by local, state, or federal law. For more information on SES, click here
4.3%
Knowledge of systems engineering fundamentals (networking, storage, operating systems)
2.9%
Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
2.9%
Experience in networking, storage systems, operating systems and hands-on systems engineering
2.9%
Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
2.9%
Experience with PLC-controlled automation
2.9%
Experience with PowerShell (preferred), Python, Ruby, or Java
2.9%
Experience working in an Agile environment using the Scrum methodology
2.9%
Work 40 hours/week minimum and commit to 6 month internship maximum
2.9%
CS Bachelor's degree or higher
2.9%
Expert in 2+ languages: Java/Python/JS/TS/C++/Swift/Verilog
2.9%
Native/Fluent Indonesian + Advanced English technical writing
2.9%
Competitive programming or code review experience
2.9%
Strong debugging and optimisation skills
2.9%
Demonstrate a minimum of 3+ years of experience in Data Analysis and BI
2.9%
Translate business needs into data insights and reports
2.9%
Collaborate with stakeholders and business teams
2.9%
Master SQL
2.9%
Use at least one BI / Data Visualization tool (Power BI, Tableau, or Qlik)
2.9%
Understand data modeling fundamentals
2.9%
Define KPIs and reporting frameworks
2.9%
Apply basic knowledge of Python or R (nice to have)
2.9%
Demonstrate strong analytical and problem-solving abilities
2.9%
Interpret data and translate it into actionable insights
2.9%
Understand business processes and reporting needs
2.9%
Communicate effectively through data storytelling
2.9%
Work in Agile / Scrum environments
2.9%
Apply data governance and data quality practices
2.9%
Have minimum 3–5+ years of experience in Data Engineering
2.9%
Proven experience in building and maintaining data pipelines
2.9%
Demonstrate strong proficiency in Python
2.9%
Demonstrate strong proficiency in SQL
2.9%
Work hands-on with ETL / ELT tools (e.g., Talend, Informatica, Azure Data Factory)
2.9%
Use Big Data technologies (e.g., Spark, Hadoop)
2.9%
Leverage cloud platforms (Azure, AWS, or GCP)
2.9%
Understand data architecture principles
2.9%
Understand data lakes and data warehouse concepts
2.9%
Degree in Computer Science, AI, Data Science, or a related field
2.9%
Good software engineering and programming skills, preferably in Python
2.9%
Experience building applications powered by large language models (LLMs) such as assistants or knowledge systems
2.9%
Understanding of RAG architectures, embeddings, and vector search
2.9%
Experience integrating AI solutions with APIs, enterprise systems, or automation platforms
2.9%
Familiarity with GenAI frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel or similar)
2.9%
Solid software engineering practices (version control, testing, CI/CD)
2.9%
Strong problem-solving skills and ability to translate business needs into AI solutions
2.9%
Excellent English communication skills; German and/or French is an advantage
2.9%
Experience working in agile environments; ability to coordinate technical delivery across cross-functional and matrix-based teams
2.9%
PhD in a relevant field (e.g., Computer Science, Operations Research, Mathematics, Statistics) received within 2 years of program start date
1.4%
Proven publication record in areas such as LLM, NLP, Generative AI, Graph Database, or other relevant domains
1.4%
Hands-on experience with technologies related to large language models, graph databases, and mathematical optimization
1.4%
Experience in data science and quantitative research
1.4%
Proficiency in technologies relevant to the subfield
1.4%
Postdocs demonstrate the following preferred job qualifications
1.4%
Ability to independently deliver results in a fast-paced environment
1.4%
Publications at top-tier, peer-reviewed conferences and/or journals such as NurIPS, ICML, ICLR, CIKM, ICDE
1.4%
Exceptional verbal and written communication skills - Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies
1.4%
Education Requirements (must meet one): Currently enrolled in Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields OR Completed Bachelor's or Graduate degree in specified fields
1.4%
Expected graduation between October 2025 - September 2026, OR graduated within the last 24 months
1.4%
Demonstrated experience one or more of the following: Data structures implementation, Basic algorithm development, Object-oriented design principles
1.4%
Previous technical internship(s) or demonstrated project experience
1.4%
Experience with one or more of the following: AI tools for development productivity, Cloud platforms (preferably AWS), Database systems (SQL and NoSQL), Contributing to open-source projects, Version control systems, Debugging and troubleshooting complex systems
1.4%
Strong problem-solving and analytical skills
1.4%
Excellent written and verbal communication skills
1.4%
Demonstrated ability to learn and adapt to new technologies quickly
1.4%
Basic understanding of software development lifecycle (SDLC)
1.4%
Experience (non-internship) in professional software development, or experience in professional, non-internship software development
1.4%
Experience with Codesys
1.4%
Experience (non-internship) in professional software development
1.4%
Bachelor Degree in Mechanical Engineering
1.4%
Experience in the field of engineering in commercial/retail buildings
1.4%
Knowledge of Building, Mechanical, - Electrical, Plumbing and Refrigeration Codes
1.4%
Ability to manage high level meetings and discussions with technical and non-technical participants
1.4%
Strong project management experience
1.4%
Excellent written and oral communication skills
1.4%
Ability to meet tight deadlines and prioritize workloads
1.4%
Strong organizational skills
1.4%
Industrial design experience
1.4%
Masters degree in Mechanical Engineering
1.4%
Revit design experience
1.4%
Knowledge of current sustainability trends and practices
1.4%
Experience in use of CFD tools
1.4%
Work experience within field execution, i.e. with General Contractors
1.4%
Project management certification (PMP or equivalent)
1.4%
Construction contract and designer contract legal experience, Blue Book, FIDIC, Code law contracts
1.4%
Cost Management or Quantity Surveying experience
1.4%
Professional fluency in English and speaking of other EU language(s)
1.4%
Master's degree or equivalent in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or PhD
1.4%
Experience working in predictive modeling and analysis
1.4%
Experience in driving end to end delivery, and communicating results to senior leadership
1.4%
Experience using English communication skills, both written and verbal, to foster seamless interaction with stakeholders at all levels
1.4%
7+ years of industry experience in business intelligence, data science, machine learning, or applied statistics solving real-world business problems
1.4%
Strong programming skills in Python (or R) and proficiency in SQL, including working with large-scale datasets
1.4%
5+ years of experience with big data and cloud technologies (e.g., AWS services such as S3, Redshift, SageMaker, Bedrock, EC2, EMR, Glue, or similar)
1.4%
10+ years of industry experience in data science, machine learning, or applied statistics solving real-world business problems
1.4%
Demonstrated experience with Generative AI and LLMs, including: Building or integrating GenAI applications (e.g., text generation, summarization, retrieval-augmented generation, classification, or agents), Designing evaluation strategies and guardrails for AI systems in production
1.4%
Experience building and operating ML models in production (e.g., APIs or services, CI/CD for ML, monitoring and retraining strategies)
1.4%
Experience programming in Java, C++, Python or related language
1.4%
Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields
1.4%
Have publications at top-tier peer-reviewed conferences or journals
1.4%
Experience in designing experiments and statistical analysis of results
1.4%
Experience implementing algorithms using toolkits and self-developed code
1.4%
Experience in solving business problems through machine learning, data mining and statistical algorithms
1.4%
Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, or related fields at time of application
1.4%
Knowledge of programming languages such as C/C++, Python, Java or Perl
1.4%
Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis
1.4%
Experience from a technical internship
1.4%
Experience with distributed, multi-tiered systems, algorithms, and relational databases
1.4%
Experience in optimization mathematics such as linear programming and nonlinear optimization
1.4%
Ability to effectively articulate technical challenges and solutions
1.4%
Adept at handling ambiguous or undefined problems as well as ability to think abstractly
1.4%
Are enrolled in a Bachelor's degree or above
1.4%
Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design
1.4%
Experience with SQL, including class projects, personal projects, research, prior internships, or volunteer work
1.4%
Are enrolled in a Master's degree in computer science, machine learning, engineering, or related fields
1.4%
Speak, write, and read fluently in English
1.4%
Experience in at least one of the related science disciplines (optimization - LP, MIP, statistics, machine learning, process control, combinatorial optimization)
1.4%
Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
1.4%
Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data
1.4%
Experience implementing algorithms using both toolkits and self-developed code
1.4%
3+ years of non-internship professional software development experience
1.4%
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
1.4%
1+ years of software development engineer or related occupational experience
1.4%
1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
1.4%
1+ years of Object Oriented Design experience
1.4%
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
1.4%
Experience programming with at least one software programming language
1.4%
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
1.4%
Are enrolled in or have completed a Bachelor's degree in computer science, computer engineering, or related field
1.4%
Are enrolled in or have completed a Master's degree in computer science, computer engineering, or related field
1.4%
Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools
1.4%
Experience with data querying or modeling with SQL or Excel
1.4%
Experience with SQL
1.4%
Assistance during User Acceptance Testing as required
1.4%
Bachelor’s degree in software engineering or equivalent
1.4%
In-depth knowledge of SQL and data orchestration tools (e.g., Dagster, Airflow, Kestra, Talend Data Fabric)
1.4%
Proficiency in XML, JSON, and REST/SOAP web services
1.4%
Knowledge of the Luxembourgish security and data privacy framework
1.4%
Knowledge of the insurance or fund industry would be an asset
1.4%
Experience with Talend job orchestration and scheduling (TAC) would be an asset
1.4%
Experience with SAP PI/PO, XML integrations, and SmartCOMM would be an asset
1.4%
Take initiative and assess problems autonomously
1.4%
Strong communication and analytical skills, with the ability to approach challenges with an open mind
1.4%
No frequent travelling is needed for this position
1.4%
Required: 5+ years of Trailer Fee experience within a Project/Onboarding team
1.4%
Ability to build and maintain data migration tools and/or leverage State Street migration utilities to support migrations and conversions; Microsoft Access database/VBA knowledge is considered a strong advantage
1.4%
Hands-on Transfer Agency operations experience—particularly in trailer fee processing—will be viewed favourably
1.4%
Knowledge on Fundline-RP as a Trailer Fee tool will be considered as a strong advantage
1.4%
Graduate with related degree (preferably in Economics, Business, Information technology) and/or demonstrable related background within the financial sector/regulatory environment
1.4%
Experience in the mutual fund industry is critical; Transfer Agency experience preferred
1.4%
In-depth knowledge of tools and techniques to define, track and report deliverables
1.4%
Experience delivering change using Agile ways of working (e.g., iterative delivery, user stories, backlog refinement, sprint planning/reviews, retrospectives) and partnering with business and technology teams through testing and UAT to ensure high-quality outcomes
1.4%
Experience with structured change delivery approaches; familiarity with Lean and Agile principles and knowledge of Transfer Agency processes are considered an advantage
1.4%
Team player with ability to evidence leadership, credibility, and build consensus (Extensive work experience in a similar role)
1.4%
Ability to engage internal stakeholders across different functional departments, high level of confidence interacting with senior business professionals
1.4%
Ability to present and communicate effectively and draw meaningful conclusions
1.4%
Support the Trailer Fee Portfolio Manager in managing a virtual team, including direct and indirect reports
1.4%
Ability to work under pressure while maintaining high accuracy and quality standards; strong analytical, process and numeracy skills
1.4%
Self-motivated, organised in order to meet tight deadlines and flexible to new ideas
1.4%
Strong issue resolution skills with a focus on risk controls and client focus
1.4%
Fluent in English (written & oral)
1.4%
additional languages (e.g. French, German) are considered as an advantage About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at StateStreet.com/careers Read our CEO Statement
1.4%
2+ years hands-on software development experience
1.4%
Strong proficiency in Python, JavaScript/TypeScript, or similar languages
1.4%
Experience debugging complex codebases and resolving issues
1.4%
Familiarity with Git workflows, pull requests, and issue tracking
1.4%
Ability to articulate technical reasoning clearly in writing
1.4%
Top performers receive rate increases and priority for future AI research projects
1.4%
Join cohort of experienced engineers shaping next-generation coding AI
1.4%
Master’s degree in Computer Science, Computer Engineering, Electronics Engineering or equivalent
1.4%
Working experience with: Software Defined Vehicle concept (including HPC and Hypervisor), AUTOSAR (Classic/Adaptive), Object Oriented Analysis and Design, UML diagrams and Design Patterns
1.4%
Strong analytical skills to identify and resolve architectural issues and make decisions that balance technical and business needs
1.4%
Knowledge in the following areas is considered an asset: C, C++, C#, Java, Python, Embedded Software Development, Micro-controller hardware and peripherals, Requirement managing tools (DOORS), Automotive processes and quality standards (SPICE, ASIL, HIS, MISRA), Model Driven Development and MathWorks, MATLAB, Simulink or similar
1.4%
Excellent communication, analytical and team working skills
1.4%
Fluency in English (spoken and written); German or French is considered an asset
1.4%
Bachelor's degree in Computer Science, Engineering, or a related field
1.4%
Excellent SQL skills including complex transformations and query optimization
1.4%
Proven experience in the design, development, and maintenance of robust ETL/ELT pipelines
1.4%
Experience managing data flow across staging, raw, business vault, and data mart layers
1.4%
Ability to implement and maintain Data Vault 2.0 models designed by the Data Modeler
1.4%
Experience integrating SQL-based and NoSQL data sources (e.g., JSON format data)
1.4%
Ability to technically implement governance and lineage tracking mechanisms
1.4%
Capability to optimize workloads, queries, and processing performance
1.4%
Implementation of data validation, reconciliation, and quality controls in pipelines
1.4%
Application of performance, maintainability, and coding best practices
1.4%
Experience implementing monitoring, alerting, and logging frameworks
1.4%
Ability to define and document data engineering standards and best practices
1.4%
Experience querying MongoDB or other NoSQL databases
1.4%
Experience implementing automated data quality checks
1.4%
Ability to optimize cloud resource usage and manage costs
1.4%
Exposure to AI-driven performance optimization techniques
1.4%
Experience with modern cloud data platforms
1.4%
Experience with large-scale or near real-time data processing environments
1.4%
Knowledge of encryption, masking, and secure data handling practices
1.4%
1–3 years of experience in a system administration, IT support, or similar technical role (internships and work‑study included)
1.4%
Solid basic knowledge of Windows Server administration (roles/features, file shares, permissions, basic AD concepts)
1.4%
Practical exposure to Linux systems administration (user management, services, package management, log review)
1.4%
Basic understanding of networking (TCP/IP, switching, routing basics, firewall concepts, VPN)
1.4%
Familiarity with Microsoft 365 and/or Azure services is a strong plus
1.4%
Ability to read and write clear technical documentation
1.4%
Ph.D. in computational biology, bioinformatics, computer science, biology, or a related discipline
1.4%
Strong interest in applying quantitative approaches to complex biological and biomedical questions
1.4%
Solid computational skills, including experience in mathematical or network-based modeling, supported by demonstrable work in a relevant research context
1.4%
Strong record of first-author publications in the fields of bioinformatics and/or computational biology
1.4%
Prior experience in mathematical modeling of biological networks
1.4%
Fluency in English is required
1.4%
Minimum **7 years of experience** in similar and relevant IT projects)
1.4%
B2 level English or higher
1.4%
Development and rollout experience with VBA and MS Office Macros (Access & Excel)
1.4%
Good understanding of modern IT architecture
1.4%
Good understanding of and experience with: SQL, XML, XSLT
1.4%
Good project management skills: Ability to manage multiple tasks under competing deadlines and shifting priorities
1.4%
Experience in providing reporting and other communications at a senior management level
1.4%
Ability to document clear and complete business requirements
1.4%
Proven customer-oriented change management communication skills
1.4%
Excellent communication and presentation skills
1.4%
Excellent organizational skills
1.4%
Excellent English communication skills, both oral and written
1.4%
You have 4+ years of experience in Data Science, Applied Statistics, or Machine Learning, with a strong foundation in statistics, probability, and experimental design
1.4%
You are proficient in Python, including libraries such as pandas, scikit-learn, and xgboost, and you are comfortable working with cloud data warehouses such as Snowflake and writing complex SQL queries
1.4%
You are familiar with modern data transformation workflows, notably dbt, and have hands-on experience deploying and monitoring models in production environments
1.4%
You have strong business acumen and a natural ability to translate complex analytical findings into clear, actionable insights for non-technical stakeholders
1.4%
You are comfortable working cross-functionally with commercial, marketing, and operations teams, and you thrive in a collaborative, fast-moving environment
1.4%
You are fluent in English
1.4%
Any additional language will be considered a strong advantage
1.4%
Minimum 5 years of technical experience (including 3 years in a similar role)
1.4%
Strong experience in software architecture and DevOps environments
1.4%
Solid knowledge of automation and infrastructure environments
1.4%
Ability to manage complex technical topics
1.4%
Strong communication and leadership skills
1.4%
Comfortable with technical documentation and presentations
1.4%
Fluent in English (French is a plus)
1.4%
Eligible for EU security clearance
1.4%
University degree in Computer Science, Engineering, or a relevant discipline
1.4%
5 years of experience with SAP Analytics Cloud
1.4%
3 years of experience with analysis, testing and producing written design specification and documentation
1.4%
Basic knowledge of SAP Sybase Power Designer
1.4%
Basic to Intermediate knowledge of PowerBI
1.4%
Understanding of data governance fundamentals, including metadata concepts, metadata structures, information assets, business rules and data lineage
1.4%
Basic knowledge of the BCBS239 principles and framework, and related regulatory governance requirements
1.4%
Practical experience with Agile methodologies, including sprint planning, preparation of user stories, functional testing and iterative delivery cycles
1.4%
Experience with Azure DevOps
1.4%
Experience working in a banking or financial services environment, preferably within an international and multicultural context
1.4%
Analyzing existing developments and performing impact analysis
1.4%
Implementing a consistent solution in line with data modelling best practices
1.4%
Performing tests, gathering feedback, and recommending changes
1.4%
Gathering requirements and delivering results within strict schedules
1.4%
Excellent knowledge of the English language
1.4%
Proven experience as a Business Analyst IT within financial services, ideally in insurance
1.4%
Strong understanding of IT systems, data flows and application architecture
1.4%
Experience in writing functional specifications and supporting end-to-end project delivery
1.4%
Familiarity with Agile methodologies and tools such as Jira or similar
1.4%
Good knowledge of SQL and ability to analyse and structure data
1.4%
Strong analytical and problem-solving skills with attention to detail
1.4%
Excellent communication skills and ability to interact with both business and technical teams
1.4%
Ability to manage multiple priorities in a fast-paced environment
1.4%
Fluency in French and English. **Job Category:** IT / Business Analysis (Functional) **Job Type:** CDI **Job Location:** Luxembourg
1.4%
Proven experience as a Business Analyst, preferably in financial or banking environments
1.4%
Strong knowledge of requirements engineering and agile methodologies (agile delivery experience)
1.4%
Experience in writing user stories and acceptance criteria
1.4%
Familiarity with process modelling tools and techniques (BPMN, UML)
1.4%
Excellent communication and stakeholder management skills
1.4%
Experience in facilitating workshops and working in cross-functional teams
1.4%
Currently enrolled in a Bachelor/Master program in Computer Science, Information Systems, Engineering, or a related field
1.4%
Basic understanding of software development and testing principles
1.4%
Familiarity with test case writing or test management tools (a plus)
1.4%
Analytical thinking, attention to detail, and problem‑solving mindset
1.4%
Good communication skills in English
1.4%
Ability to work proactively and collaboratively in a team environment
1.4%
Quantitative skills (degree in mathematics/ physics/quant finance would be ideal) and experience in data preparation/cleaning/modelling
1.4%
Proficient in coding with Python (Jupyter Notebooks + PyCharm)
1.4%
An understanding of statistics (main probability distributions) and experience with Monte Carlo simulations is required
1.4%
In addition: basic knowledge about finance (Capital Asset Pricing Model, single-index model) would be desirable
1.4%
Qualifications / diploma(s)**: Bachelor's degree in IT Systems or equivalent experience
1.4%
Technical Competencies**
1.4%
Comprehensive knowledge of network protocols and security
1.4%
Proficient documentation abilities
1.4%
Expertise in Orchestration, Automatic Provisioning, Containerization, CI/CD and IT architecture
1.4%
Familiarity with Public & Private Cloud and strong networking abilities are strong asset
1.4%
ITSM and Agile Frameworks knowledge/experience
1.4%
Languages**: English fluent. Any other language is an asset
1.4%
Specific skills**
1.4%
Strict commitment to quality and security protocols
1.4%
Detail-oriented with a methodical approach
1.4%
Exemplary team player with strong collaborative skills
1.4%
Robust technical and analytical acumen
1.4%
Core competencies at LuxTrust:**
1.4%
Analytical mindset & decision making
1.4%
Organizational fluency
1.4%
Personal effectiveness
1.4%
Results-driven
1.4%
Client service mindset
1.4%
Strategic vision
1.4%
Leadership
1.4%
Strong dual expertise combining **technical development and business analysis**
1.4%
Proven experience in **finance-related IT projects** (ERP, accounting systems, reporting tools)
1.4%
Solid background in **finance and accounting processes** (GL, AP/AR, budgeting, forecasting, reporting, regulatory constraints)
1.4%
Good understanding of **procurement processes and financial operations**
1.4%
Advanced knowledge of **SAS (including macros and templates)** with ability to maintain and enhance tools
1.4%
Experience working in **financial services or asset management environments** is a strong plus
1.4%
Strong understanding of **IT project lifecycle** (scoping, build, testing, deployment)
1.4%
Familiarity with **Agile methodologies and tools (e.g. Azure DevOps)**
1.4%
Ability to bridge the gap between business needs and technical implementation
1.4%
Strong analytical and problem-solving skills
1.4%
Autonomous, detail-oriented, and results-driven mindset
1.4%
Leadership mindset with ability to act as a subject-matter reference
1.4%
Excellent communication and coordination skills
1.4%
Fluent in **English and French** **Job Category:** Business analystDeveloper IT **Job Type:** CDI **Job Location:** Bruxelles
1.4%
Bachelor's or Master’s degree in Computer Science, Engineering, or related field
1.4%
3+ years of relevant working experience
1.4%
C1 in English
1.4%
3 years of experience as a Cloud Security Specialist (Entra ID Conditional Access, Azure, AWS)
1.4%
2 years of experience in IaC
1.4%
2 years of experience in Ci/CD pipeline and Azure DevOps Services
1.4%
Minimum 2 years of managing Entra ID Conditional Access Policies
1.4%
Advanced knowledge in Azure DevOps and terraform
1.4%
Experience in scripting (python, powershel) and query languages (splunk, SQL, KQL)
1.4%
Recommended knowledge of French (level B2)
1.4%
Bachelor’s in Computer science or other relevant field
1.4%
11+ years of relevant working experience
1.4%
Strong experience as a Senior Database Engineer in enterprise environments
1.4%
Demonstrated experience with technical data governance practices (standards, controls, traceability) and working with governance stakeholders (Data Owners / Data Stewards)
1.4%
Experience investigating data lineage and data-quality issues across distributed systems
1.4%
Experience reviewing service/API contracts and their alignment with database models
1.4%
Strong SQL skils and ability to reason about data structures, integrity and complex transformations
1.4%
Practical experience with data mode ling and with mapping models to services and data contracts
1.4%
Hands-on experience with Azure SQL (Database and/or Managed Instance), including performance tuning, security and production operations
1.4%
Experience with CI/CD database change automation tooling, like Liquibase, and monitoring stacks
1.4%
Experience with catalog/lineage tooling
1.4%
Proven ability to write and maintain clear technical documentation
1.4%
At least 2/3 years of experience in software development
1.4%
Perl, Python, Unix, Shell Scripting, Oracle, JavaScript (jQuery), SQL DB
1.4%
Any knowledge or Experience with the following is beneficial but not mandatory: oWeb front-end tools (JavaScript skills, preferably with React experience) o Microservice architecture (node.js or ServiceFabric or similar). o NoSQL databases (MongoDB or similar). o DevOps – CI, build automation, continuous deployment, fast path to live, etc. o Quality control of code and releases (TDD, unit testing, coding for testability). o Network and security Technologies
1.4%
Master’s degree in Computer Science, Data Engineering, Medical Informatics, or a related field
1.4%
Minimum 3 years of experience in data engineering or backend development, preferably in a healthcare or research environment
1.4%
Strong proficiency in SQL and at least one programming language (Python, Java, Scala, or similar)
1.4%
Experience with ETL/ELT tools and frameworks (Apache NiFi, Airflow, dbt, Talend, or comparable)
1.4%
Solid experience with relational databases (PostgreSQL, SQL Server) and ideally document or graph-based stores
1.4%
Experience with containerisation (Docker) and on-premises orchestration tools
1.4%
Understanding of health data standards (HL7 FHIR, openEHR) is a significant advantage
1.4%
Experience working with sensitive or regulated data (patient data, GDPR compliance) is preferred
1.4%
Bachelor Degree in audio, broadcast, telecommunications, electronics, or networking
1.4%
Strong knowledge of radio frequencies (RF), measurement tools, and signal analysis (spectrum, modulation, QoS)
1.4%
Strong knowledge of broadcast and audio environments, including AoIP protocols (AES67, Dante, Ravenna or similar)
1.4%
Good understanding of IP networks and system administration (Windows, Linux, virtualization platforms); scripting (Python, Bash, Batch, PowerShell) is a plus
1.4%
Autonomous, methodical, and solution-oriented mindset
1.4%
Strong service orientation, reliability, and teamwork skills
1.4%
Availability for occasional out-of-hours interventions and participation in 24/7 duty rotations
1.4%
Valid driver’s license required
1.4%
Fluent in English; Luxembourgish, French, and/or German are considered assets
1.4%
Degree in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, Telecommunications, Physics, or a related field
1.4%
Strong understanding of satellite subsystems, particularly payloads, RF systems, and spacecraft platforms
1.4%
Hands‑on experience in system modelling, simulation, and performance assessment
1.4%
Proficiency in Python, MATLAB, and/or C++ for simulation, analysis, and tool development
1.4%
Experience with requirements development, ConOps definition, and system-level design processes
1.4%
Solid analytical and problem‑solving skills, with the ability to interpret complex system interactions
1.4%
Experience working in a satellite operator or satellite manufacturing environment
1.4%
Knowledge of model‑based system engineering (MBSE) tools or standards
1.4%
Familiarity with digital payloads, phased arrays, and advanced communication system architectures
1.4%
Experience with environmental testing, satellite integration, or in‑orbit payload commissioning
1.4%
10 years of applicable working experience related to software development and/or software solutions implementation
1.4%
5 years of experience architecting and designing (architecture, design patterns, reliability, and scaling) of new and existing systems
1.4%
Demonstrated software development expertise including domain modelling, design patterns, data structures, and test-driven development
1.4%
Tangible knowledge in medium to large scale software design, continuous integration, and product development best practices
1.4%
Knowledge of mainstream programming languages (C/C++, Python, Java, JavaScript, Angular, etc.)
1.4%
Familiarity with Agile methodologies (Kanban and/or SCRUM)
1.4%
Experience is leading or working in cross-functional and remote project teams
1.4%
Analytical sense and ability to synthesize, anticipate, manage and mitigate risks
1.4%
Very good coordination and priority setting facilities
1.4%
Problem perception, assessment and solving
1.4%
Good communication skills and ability to interface at different levels of the organisation
1.4%
Fluency in spoken and written English with additional languages considered an asset
1.4%
Proven experience (5+ years) in **embedded software** for satcom payloads, avionics, or equivalent safety‑critical domains
1.4%
Proven experience in **embedded software development** for real-time systems
1.4%
Strong proficiency in **Rust** and **C++**, with a deep understanding of memory management, concurrency, and safety
1.4%
Familiarity with **RTOS**, **bare-metal programming**, and **low-level hardware interfaces** (SPI, I2C, UART, CAN)
1.4%
Experience with **cross-compilation**, **toolchains**, and **debugging tools** (e.g., JTAG, GDB)
1.4%
Knowledge of **satellite systems**, **payload operations**, or **space-grade electronics** is a strong plus
1.4%
Ability to work under pressure and meet tight deadlines without compromising quality
1.4%
Excellent problem-solving skills and attention to detail
1.4%
Strong communication and collaboration abilities
1.4%
A technical interview with a business recruiter An interview with a Talent Acquisition Specialist to assess your motivation An interview with a Partner of the team, if relevant
1.4%
A final word about us:**At PwC, we believe diversity is the representation of all the characteristics that make us both alike and unique
1.4%
Our backgrounds, cultures, nationalities, lifestyles, identities, opinions and beliefs, approaches to solving problems, ways of working, and views of personal and professional success, all add value to the services we deliver to our clients
1.4%
Our objective is to nurture an inclusive environment where a diversity mindset is ingrained, and inclusion is the norm
1.4%
We constantly focus on respecting and valuing individual differences
1.4%
PwC Luxembourg (www.pwc.lu) is the largest professional services firm in Luxembourg with over 3,600 people employed from 90 different countries
1.4%
PwC Luxembourg provides audit, tax and advisory services including management consulting, transaction, financing and regulatory advice
1.4%
The firm provides advice to a wide variety of clients from local and middle market entrepreneurs to large multinational companies operating from Luxembourg and the Greater Region
1.4%
The firm supports its clients in creating the value they are looking for by contributing to the smooth operation of the capital markets and providing advice through an industry-focused approach
1.4%
At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage
1.4%
We’re a tech-forward, people-empowered network with more than 364,000 people in 136 countries and 137 territories
1.4%
Across audit and assurance, tax and legal, deals and consulting, we help clients build, accelerate, and sustain momentum
1.4%
Find out more at www.pwc.com and www.pwc.lu
1.4%
Job ID:** 717635WD **Job location(s):** Luxembourg **Line of service:** Tax
1.4%
Academic or personal projects related to **data or AI**
1.4%
Basic knowledge of cloud platforms (AWS, Azure)
1.4%
Bachelor in IT or a related field**
1.4%
5+ years of experience in a related field**
1.4%
Proven Experience with:**
1.4%
IBM AppConnect Enterprise (ACE)
1.4%
IBM Tranformation Extender (ITX)
1.4%
IBM MQ
1.4%
WSO2 MicroIntegrator
1.4%
SWIFT message processing and formats (MT and MX formats)
1.4%
Data transformation using builtin transformation capabilities on ESB platforms, XSLT or eSQL
1.4%
Message queuing systems, protocols, and standards (e.g., MQ, SFTP, SOAP, REST)
1.4%
Java programming language
1.4%
Authentication and authorization protocols
1.4%
SQL
1.4%
Competence in:**
1.4%
Analyze requirements, systems and interfaces to understand integration needs
1.4%
Developing web services using the following standards
1.4%
XML (XMLNS, XSD, XPATH, JAXB) / JSON (Swagger)
1.4%
Web Services (SOAP, REST)
1.4%
WSSecurity
1.4%
TLS (for HTTPS and TCP/IP connections)
1.4%
JMS
1.4%
SAML & JWT tokens (for authentication)
1.4%
Develop integration interfaces using IBM ACE, IBM ITX, IBM MQ, including interface bespoke customizations
1.4%
Handling SWIFT messages within application flows
1.4%
Using message queuing systems, protocols, and standards (e.g., MQ, SFTP, SOAP, REST)
1.4%
Using best practices to design new message flows
1.4%
Enforcing authentication and authorization in message flows using OAUTH, WSSecurity or certificate based authentication protocols
1.4%
Troubleshooting IBM ACE, IBM ITX, IBM MQ Series and WSO2 MicroIntegrator
1.4%
Master’s degree in Embedded Systems, Computer Science, or equivalent
1.4%
5+ years of experience in embedded software development
1.4%
Strong background in at least one of the following domains:** UAV / Drones , Robotics or Aerospace / Avionics
1.4%
Strong programming skills in C / C++ and Python
1.4%
Fluent in English (mandatory)
1.4%
the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
1.4%
Solid experience with:** Embedded Linux, RTOS & ROS2
1.4%
Experience with:**
1.4%
Nice to Have
1.4%
Experience with PX4 or ArduPilot
1.4%
Background knowledge of electronics (RF, digital, analog)
1.4%
Working knowledge of interface protocols (UART, CAN, RS422/485, Ethernet, xSPI, SpW, I²C)
1.4%
Competences in planning and risk management
1.4%
Have sharp analytical and problem-solving skills, combined with a user-focused and business-aware approach to decision-making
1.4%
Be proactive and adaptable with the ability to articulate technical concepts to both technical and non-technical people
1.4%
Fluent in English – French or German are strong asset
1.4%
Master degree in software engineering or equivalent
1.4%
Over 5 years of relevant experience – not necessarily in space. Automotive or medical experience would be appreciated. We invite you to submit your CV and cover letter, showcasing your motivation for the position and EmTroniX’s positive impacts to the company. Expose and demonstrate how your skills align with the job requirements to make a meaningful impact
1.4%
Advanced university degree (Master’s degree or equivalent) in Computer Science, software engineering, Data science, AI or other related discipline. A relevant first-level university degree in combination with two years of qualifying experience may be accepted in lieu of the advanced university degree
1.4%
Minimum 5 years of experience in data science, software development, AI development or technical roles
1.4%
Proven experience in using LLMs, Azure Foundry or similar platforms
1.4%
Hands-on experience managing, training, finetuning, enhancing AI and integration using the right LLM models
1.4%
Hands-on experience building AI Agents, automations and familiarity with AI workflow tools such as n8n
1.4%
Solid understanding of Azure and AI costs awareness
1.4%
Demonstrated ability to lead and mentor development teams, ensuring alignment with product goals and technical standards
1.4%
Experience working directly with senior leadership to shape AI strategy and roadmap
1.4%
Solid experience in deploying and monitoring AI systems and ensuring operational efficiency
1.4%
Solid understanding of AI security, Risk Management, Governance and ethics
1.4%
Strong analytical, communication, and stakeholder management skills. Languages English and Arabic are the working languages of UNRWA. For this assignment, fluency in both Arabic and English are required. Additional Information
1.4%
Master’s degree in Computer Science, Data Engineering, Software Architecture, or a related field
1.4%
Minimum 5 years of professional experience in data architecture, data platform engineering, or infrastructure design
1.4%
Proven track record of designing and building on-premises data platforms in environments handling sensitive or regulated data
1.4%
Strong hands-on skills in SQL, Python or Java, and infrastructure tooling
1.4%
Deep experience with relational databases (PostgreSQL, SQL Server) and data warehousing patterns
1.4%
Solid understanding of data lake architectures, ETL/ELT patterns, and data integration frameworks (Apache NiFi, Airflow, dbt, or comparable)
1.4%
Experience with containerisation (Docker) and on-premises orchestration (Docker Compose, Kubernetes, or similar)
1.4%
Knowledge of API design (REST) and service-oriented architectures
1.4%
Understanding of network security, access control, and data encryption in on-premises environments
1.4%
Familiarity with health data standards (openEHR, HL7 FHIR) is a plus but not required
1.4%
Experience in healthcare, research, or public sector data environments is a strong asset
1.4%
Master’s degree in Medical Informatics, Information Science, Data Management, Public Health, or a related field
1.4%
Minimum 3 years of experience in data management, data governance, or a related function, preferably in a research or healthcare setting
1.4%
Understanding of data quality principles and metadata standards
1.4%
Familiarity with health data standards (openEHR, HL7 FHIR, SNOMED CT, LOINC) is an advantage
1.4%
Experience with data cataloguing tools or research data management platforms
1.4%
Awareness of GDPR and its application in health research contexts
1.4%
Experience in healthcare, public health, or health data management is a strong asset
1.4%
Experience working in agile environments; ability to coordinate across cross-functional and matrix-based teams
1.4%

Job Distribution Flow