Data Engineer

• 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.

• 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.

• 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.

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.