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As a Data Engineer, will work with modern data technologies to develop and manage end-to-end data solutions, from ingestion and transformation to serving layers. In close collaboration with other data experts (BI consultants, AI engineers, etc.) and client stakeholders, you will translate business and analytics requirements into production-ready, end-to-end data systems. You will be part of our Data Foundation practice: a team of data engineers and architects, within our Data & AI department. Looking beyond the sleek dashboards and hype-driven AI applications, we make sure that AI and BI initiatives are powered by a reliable and performant back end. Using proven components and best practices, we continuously challenge ourselves to design solutions tailored to our clients’ data needs, ensuring optimal performance, scalability, and maintainability.
Job Responsibility:
Build high-quality data solutions that create value for our clients
Gather business requirements and translate them to technical specifications
Design, implement and orchestrate scalable and efficient data pipelines to collect, process, and serve large datasets
Contribute to sales proposals and business development initiatives
Engage in knowledge-sharing and support more junior colleagues
Serve as a subject matter expert for client advisory
Requirements:
At least 3 years of experience as a Data Engineer or in software engineering in a data context
Programming experience with one or more languages, such as Python
Knowledge of storage concepts/technologies (RDBs, DWHs, lakehouses, etc.) and distributed computing
Experience in designing, building and owning data pipelines (Databricks, dbt, Airflow, ...)
Experience with at least one cloud provider (Azure, AWS or GCP)
Experience with incremental and streaming workloads, CDC and SCD
Familiar with platform engineering (including CI/CD and IaC automation) in a data mesh-like context
The concept of DataOps is embedded in your way of working
Familiar with the challenges of BI and AI workloads and applications
Experienced in implementing data governance & security (IAM, data quality mgmt, metadata mgmt., ...)
Aware of currently available technologies and upcoming data trends
Ability to translate business requirements into effective technical solutions
Able to work autonomously, balance multiple stakeholders, make pragmatic technical decisions and manage work time effectively
Strong communicative and interpersonal skills, bridging technical and business audiences while building strong client and team relationships
Collaborative and team-oriented, helping our team grow
You have a degree in Computer Engineering, Information Technology or related field
You are proficient in English and Dutch or French
What we offer:
A variety of perks, such as mobility options (including a company car), insurance coverage, meal vouchers, eco-cheques, and more
Continuous learning opportunities through the Sopra Steria Academy to support your career development
The opportunity to connect with fellow Sopra Steria colleagues at various team events