Data Intelligence Engineer
Telespazio Belgium
- Noordwijk-Binnen, Netherlands
- Mid Level
- Posted
Responsibilities
- This role requires someone who can independently build prototypes, iterate rapidly, and communicate insights clearly to both technical and non-technical stakeholders. This is an opportunity to promote and make real improvements to data processing in short term timescales rather than large corporate implementations.
- Present findings and tell compelling stories using data to stakeholders across the business
- Design and implement Machine Learning models or Large Language Models (LLM) to solve business problems
Translate business requirements into data science solutions
- Develop rapid proofs-of-concept (PoCs) to validate ideas and drive decision-making
- Work with messy, incomplete, and unstructured datasets to extract actionable insights
- Build and maintain data pipelines, models, and reusable components using modern software practices with clear documentation
- Iterate quickly on solutions based on feedback and evolving requirements
- Create clear visualizations and dashboards to communicate results effectively
Requirements
- Experience with data visualization tools (e.g., matplotlib, seaborn, Power BI, Tableau, etc.)
- Strong communication skills and ability to explain technical concepts clearly to ensure stakeholders appreciate the benefits of AI.
- Strong ownership and independence
- Ability to balance technical depth with business impact
- Curiosity and willingness to work through ambiguity
- Strong ownership and independence
- Ability to balance technical depth with business impact
- Curiosity and willingness to work through ambiguity
What is expected from you
We are looking for a pragmatic and impact-driven Data Intelligence Engineer who can quickly translate complex business problems into data-driven solutions. In particular to sell the benefits of AI and Machine Learning integration. The ideal candidate combines strong statistical and machine learning knowledge with hands-on software engineering skills, and thrives in environments with messy, real-world data.
What you offer
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field (Master’s/PhD is a plus, but not required)
- 6+ years of experience in data science or applied analytics roles implementing AI to bring benefits.
Strong understanding of
- Current generation LLMs and infrastructure to deploy them
- Machine Learning algorithms and techniques
- Statistical modelling and inference
Proficiency in
- Python (NumPy, pandas, scikit-learn, etc.)
- Modern software development practices (version control, testing, modular code)
Proven ability to
- Build prototypes independently and quickly
- Bringing order to complex, messy datasets
- Propose and translate business problems into analytical solutions
Experience working in fast-paced, iterative environments
- Deploying ML models in a variety of environments (locally hosted servers, cloud platforms such as AWS, Azure etc)
- Familiarity with cloud platforms or data engineering workflows
- Demonstrated ability to influence decisions through data storytelling
Bias for action and rapid experimentation
Moving from raw data → model → business insight quickly
Bias for action and rapid experimentation
Moving from raw data → model → business insight quickly
A competitive salary
- 30 days of paid annual leave, plus the days ESTEC is closed including public holidays (~12 days) based on a 40-hour working week;
- Hybrid working scheme (3 days in the office and 2 days remote in the Netherlands)
- Flexible working hours; you are in charge of your own agenda respecting core working hours
- Fully paid collective extensive health insurance scheme;
- A good pension scheme with no personal contribution;
- A career development (Coursera membership + training budget);
- Travel allowance;
- Extensive relocation package
Where
You will be working within ESTEC, the European Space Agency’s offices in the Netherlands as a contractor for Telespazio BeNeLux. We don’t expect the employees to be on-site full time however you will still have to relocate to the Netherlands for this position
Check out the ESTEC site here
- esa.int/About_Us/ESTEC
- When
Deadline to apply: ASAP
- Please note that interviews will be held via Teams.
- We look forward to receiving your application for this position!
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