Data processing testing engineer Vacatures

Over de vacature

More about us

EUMETSAT's role is to establish and operate meteorological satellites to monitor the weather and climate from space - 24 hours a day, 365 days a year. This information is supplied to the National Meteorological Services of the organisation's Member and Cooperating States in Europe, as well as other users worldwide.

EUMETSAT also operates several Copernicus missions on behalf of the European Union and provide data services to the Copernicus marine and atmospheric services and their users.

As an intergovernmental European Organisation, EUMETSAT can recruit nationals only from the 30 Member States (Austria, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, The Netherlands, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom).

Within the Satellite System Ground Segments Division (SGS) of the Technical and Scientific Support Department (TSS), you will contribute to the development of future data processing systems within the Data Processing Verification & Validation (V&V) team supporting Spacecraft and High Level Production data of EUMETSAT and Third party mission operating on different orbits to provide a wide range of information needed by weather forecaster, climate scientist and other data users.

The Data Processing V&V team is composed of highly skilled and talented people that are dealing with the latest technologies (current and future state of the art) applicable for data processing systems in space activities. The team will face and resolve challenging projects where thinking out of the box is essential and bringing innovative ideas is mandatory.

You will work in an environment led by innovation and excellence. Joining EUMETSAT will give you an unparalleled opportunity to develop your professional path in satellite data processing.

We are seeking a highly motivated, results-oriented person to join our dynamic team as a key player in driving our organization's growth and success. If you are a collaborative team player with a proven track record of driving results and are looking for a challenging and rewarding opportunity, we encourage you to apply for this exciting role.

What you'll be doing

As Data Processing Testing Engineer you will:

· Develop and maintain verification and validation strategies, methodologies, and test frameworks for current and future software and data processing systems, ensuring quality, reliability, performance, and operational readiness.

· Contribute to the planning, execution, and assessment of verification and validation activities across the full system lifecycle, covering system integration, qualification, acceptance, maintenance, and operational deployment.

· Drive the evolution of testing capabilities through automation, continuous integration and delivery practices, data-driven quality engineering, and the adoption of innovative technologies that improve testing efficiency and coverage.

· Support the investigation of system anomalies and performance issues, contributing to root-cause analysis, risk assessment, verification of corrective actions, and continuous service improvement.

· Contribute to the definition and maintenance of verification and validation plans, processes, and roadmaps, ensuring alignment with programme objectives, operational requirements, and future system evolution.

· Coordinate verification and validation activities with engineering teams, industry partners, and operational stakeholders, including chairing test

results review and verification control board, reporting, review support, and communication of verification outcomes.

· Support the identification and evaluation of emerging technologies, including artificial intelligence and advanced analytics solutions, to enhance testing, quality assurance, and operational confidence across future systems.

Requirements

Qualifications:

A university degree (or equivalent) in Computer Science, Software or Systems Engineering discipline.

Skills and Experience:

· Proven experience in engineering of Data Processing Systems or Products following well established processes, covering the analysis, design, development, integration and maintenance of large-scale software systems throughout the life cycle in operational, high availability and time critical environments using relevant technical standards (e.g. ECSS, CCSDS, OGC with Agile development methodologies);

· Proven and solid experience in engineering processes for managing requirements from the definition phase through the maintenance phase, including traceability, verification and validation using formal methods and tools (e.g. DOORs, Dimensions);

· Competence in the area of Data Processing Systems Verification & Validation (V&V) activities, including automated testing, software testing, unit test suite maintenance, software debugging and profiling;

· Ability to manage complex tasks with a minimum of supervision, including planning and prioritisation of activities, allocation and coordination of resources, monitoring and reporting;

· Excellent interpersonal and communication skills with proven ability to apply these to a team environment while working within a matrix structure;

· Experience leading/coordinating engineering teams and in the management of industrial contracts in relevant area will be considered an advantage.

Languages:

· Candidates must be able to work effectively in English and have some knowledge of French.

APPLICATIONS MUST BE SUBMITTED IN ENGLISH. WE WILL BE UNABLE TO CONSIDER APPLICATIONS SUBMITTED IN OTHER LANGUAGES.

EUMETSAT is an international organisation employing staff from across all 30 member states and this role is being advertised on multiple international job boards, but please note that this role would be based in Darmstadt, Germany and would require international applicants to relocate if successful.

What we offer

· Excellent salary, of up to Euro 8,000 NET (after income tax) based on skills and experience

· Flexible working time including additional flexi-leave

· Full medical coverage for employee and family

· Attractive pension

· 30 days of annual leave + 14.5 days public holidays

· Training and development support

· Relocation allowance and support (if applicable)

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Over de vacature

Ready for a challenge?

Then Just Eat might be the place for you. We're a leading global online delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.

About this role

We are looking for a Machine Learning Engineer with passion for using machine learning to create intelligent applications. As a Machine Learning Engineer, you will be part of the Pricing Data Team inside the User Behavior Data Team under the umbrella of Data and Analytics pillar with 500+ data engineers, analysts, scientists.

You will collaboratively design, build and will focus on evolving existing machine learning and AI capabilities across the platform, improving those capabilities, and innovating new ones for the future. As a member of the Pricing Data Team, you will develop solutions to estimate demand price elasticity and generate counterfactuals through simulation, finally optimize consumer pricing policy to ensure a reliable, efficient, and revenue generated service.

These are some of the key components to the position:

• Design, develop, and train data science models to solve complex business problems, taking full end-to-end ownership from initial prototyping to production deployment.
• Strong knowledge of regression, boosting gradient, causal inference data science models, feature engineering and evaluation of model performance.
• Develop the architectural design of ML systems, building both the core algorithmic training pipelines and the scalable inference and monitoring infrastructure.
• Collaborate extensively along with other Data Scientists, Data Engineers, and Product stakeholders to bridge the gap between model development and production systems.
• Drive the adoption of MLOps best practices (e.g., CI/CD for ML, model versioning, feature stores) to accelerate the feedback loop for Data Scientists.
• Communicate the complexities of ML systems (e.g.,e.g., algorithmic choices, latency vs. accuracy trade-offs) effectively to both technical and non-technical stakeholders.
• Build and maintain a strong network across the Data and Engineering organizations to ensure ML systems integrate seamlessly with the wider platform.

What will you bring to the team?

• Strong experience in machine learning, specifically developing ML infrastructure platforms for consumer pricing and policy-related products.
• Hands-on experience developing data science models (predicting and causal modelling) using Python libraries such as pandas, NumPy, scikit-learn, and TensorFlow.
• Proficiency in Python and a strong understanding of software engineering principles (object-oriented design, design patterns, testing) applied to ML.
• Demonstrable experience designing and operating ML systems in production (beyond notebook-based training), including familiarity with serving patterns such as REST APIs, batch inference, and event-driven architectures.
• Ability to work independently and solve complex problems, with a proven track record of productising and deploying models using cloud-native ML platforms (e.g., AWS SageMaker, GCP Vertex AI).
• Familiarity with orchestration, tracking, and containerisation tools, particularly Airflow, MLflow, and Docker.
• Solid Understanding of data engineering fundamentals (e.g., SQL, distributed data processing) to debug and optimise data flows.

At JET, this is how we play

Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Being the best at what we do isn't just about delivering on our strategy. It's a competition for something incredibly valuable - our customers' choice. Every time a customer decides where to order, they're picking a side. At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers' loyalty, again and again. Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we're building a customer-first culture which enables us to stay one step ahead of the competition.

Inclusion, Diversity & Belonging

No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.

What else is cooking?

Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels.

Are you ready to take your seat? Apply now!

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