Senior DataOps Engineer

Acteur spatial mondialement reconnu dans les domaines des télécommunications, de la navigation, de l’observation de la terre, de l’exploration et de la réalisation d’infrastructures orbitales, Thales Alenia Space est une Joint-Venture entre les groupes Thales (67%) et Leonardo (33%).

YOUR DAILY LIFE

By joining us, you will be part of a team of creative people designing and developing key digital features of space systems and experimenting innovative solutions for ground segments. Our development environment is cloud native and software as a Service oriented. We work in an agile way, with an entrepreneur’s mindset, and foster excellence in user experience.

As Senior DataOps Engineer,for a cross-domain software project involving Earth Observation and digital modelling, you will be a key member of an Agile development team working with diverse datasets high performance computing, and real-world use cases.

You will act as an architect of data pipelines, facilitating the flow of data from various sources to end-users, such as data scientists and analysts. This role is crucial for ensuring that data is accessible, reliable, and of high quality, thus enabling fast and informed decision-making.

Your responsibilities will include:

• Design and implementation of data pipelines: Develop processes for extracting, transforming, and loading (ETL) data, ensuring seamless data management.

• Automation of data flows: Use automation tools and processes to minimize manual intervention and errors, enhancing overall efficiency.

• Data quality assurance: Establish and execute data validation and cleaning procedures to maintain data integrity and quality.

• Monitoring and troubleshooting: Monitor data pipeline performance, proactively troubleshooting issues to minimize disruptions in data availability.

• Continuous integration: Implement continuous integration practices for smooth code merging and establish automation for quick, reliable deployments

• Data Workflow Management: Leverage container orchestration platforms (e.g., Kubernetes, Helm, Docker) and data workflow management tools (e.g., Argo Workflows, Airbyte or Airfow) to optimize environments and processes

• Data traceability and performance: Manage logging tools (e.g., OpenSearch, Elasticsearch) for effective data traceability and performance monitoring.

• Resource management: Utilize cloud deployment practices (Azure), and declarative tools like Terraform for efficient resource management.

• API Development: Ensure adherence to security best practices and data governance principles while developing performant APIs using languages like Python, Rust, Go, Typescript Java etc. DataOps Engineer TAS Luxembourg September22 2 {OPEN}

• Automation and Integration: Develop CI/CD pipelines to automate the build, testing, and deployment of software applications in support of machine learning or high-performance computing initiatives.

• Knowledge Sharing and Continuous Improvement: Continually learning and sharing best practices across teams to benefit the entire organization.

YOUR PROFILE

Graduate of an Engineering/Master’s Degree in Computer Science or related field, or an equivalent qualification, you have proven experience in data engineering, cloud engineering or a closely related role.

The ideal candidate will have:

• Proactive and detail-oriented DataOps Engineer with a strong expertise in designing and implementing data pipelines;

• Proficient in container orchestration, cloud deployment, and data workflow management tools; Familiarity with geospatial data tools (e.g., GDAL, Rasterio, Geoserver) and exploration tools (e.g., Jupyter Notebooks, Geopandas);

• Knowledge of data management tools like Apache Spark, Kafka, and Airflow;

• Understanding of data modeling concepts, database technologies (SQL, NoSQL), and system infrastructure;

• Knowledgeable in security best practices and CI/CD pipeline development using tools like Kubernetes and Docker;

• Collaborative team player adept at addressing specific data needs alongside data scientists and analysts;

• Strong communicator, eager to learn and adapt to emerging data technologies.

We are looking for skilled and ambitious people as we continue to build up our team and create a positive and collaborative work environment. If this role sounds interesting to you, don’t hesitate to reach out to us and learn more!

Recognize yourself ? Then this is the job for you!

WORD FROM THE TEAM

”Together, we will take a role in setting up a new company driven by an entrepreneurial mindset.

We will experience new ways of working and create innovative digital technologies for Space.

You will become a member of the dynamic Luxembourg space and digital Eco-System, and work for n inspiring group of 80.000 people present in 68 countries!”

Thales reconnait tous les talents, la diversité est notre meilleur atout. Postulez et rejoignez nous !