At DEME, we believe that data is one of our most valuable assets. As we grow more data-driven, we are looking for a seasoned data engineer to join our Data & Analytics team within IT, someone who brings deep technical craft and the architectural perspective to help shape where we go next.
Your responsibilities
- Build, maintain, and support data pipelines ingesting data from operational systems, projects, and third-party sources.
- Contribute to the design, development, and maintenance of data models.
- Support the architecture and evolution of data solutions within the Data & Analytics landscape, in close collaboration with the Data Architect.
- Document and maintain a clear picture of the data landscape, its sources, flows, models, and dependencies, as a joint initiative with the Data Architect.
- Review and improve technical designs and implementations for consistency, quality, and scalability before they reach production.
- Help define and continuously improve reporting and analytics standards.
- Give the analytics team the right data structures, tools, and frameworks to do their best work.
- Work cross-departmentally with business stakeholders, data scientists, and report developers to gather requirements and create value from data.
- Work across both cloud-based and on-premise data architectures and technologies.
Your profile
- Extensive hands-on experience in data engineering, you have seen enough to know what good looks like and can back it up with examples.
- Strong SQL skills and fluency in one or more data-oriented languages, Python, Scala, Spark, PySpark, or similar.
- Solid experience designing and maintaining data pipelines for analytical and reporting use cases.
- Solid data modelling skills, UML, ER modelling, analytical schemas.
- Meaningful experience with Databricks and Unity Catalog as part of an analytical data platform.
- Comfortable working within a Microsoft Azure–based data ecosystem.
- Ability to think architecturally, understanding how pipelines, models, and platforms fit into a broader data landscape, and the ambition to be an active voice in shaping that landscape.
- Hands-on and result-driven, you like to ship things and you hold yourself to a high bar.
- Clear communicator, comfortable with both technical and non-technical stakeholders.
- At ease in an agile environment and collaborative by nature.
- Experience with different data types such as geospatial, time-series, structured and unstructured data; familiarity with BI tools like Power BI, Grafana, or Tableau; exposure to machine learning or advanced analytics; and a general curiosity and openness towards new technologies are a plus.
Our offer
- An extensive mobility program for a healthy work-life balance.
- A permanent training track which allows you to develop yourself personally and professionally.
- A stimulating, innovative workplace with numerous growth opportunities.
- A people-oriented environment with an interactive health program and a focus on employee wellbeing.
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