Azure Data Engineer

Transparent Insights was founded to bring transparency and trust to a world driven by data. We are a technology-agnostic, global data consultancy with offices in the Netherlands, Switzerland and South Africa, blending Dutch efficiency, Swiss quality, and South African resilience. What sets us apart is our hands-on "Decision-makers on the Floor" approach, where our leaders are actively involved in client engagements, alongside an agile, flexible approach to both solution delivery and consultant placement. We use accelerators to deliver value faster to our clients, and we invest deeply in our people through rigorous vetting and continuous certified upskilling—building lasting partnerships with both our clients and our consultants. Industry: Energy Start Date: April / May Contract Type: Permanent / Contract Location: Netherlands / Hybrid / Remote Role Overview We are looking for an experienced Azure Data Engineer to design, build, and maintain scalable data solutions within a modern Azure environment in the Energy sector. This role focuses on enabling data-driven operations by improving data accessibility, quality, and structure through robust engineering practices. The successful candidate will work closely with Business Analysts, operational stakeholders, and technical teams to translate business and regulatory requirements into sustainable data solutions. Design and implement data solutions using Azure Data Lake Develop and maintain reliable ETL / ELT data pipelines Integrate data from enterprise and operational systems Improve and support data quality and consistency Develop and apply data models aligned to best practices Enable operational reporting and analytics through structured data products Collaborate with Business Analysts and stakeholders to translate requirements into technical solutions Contribute to the development of a scalable data platform within a regulated environment Minimum 5 years' experience as a Data Engineer Strong experience within the Azure data ecosystem Proven experience developing independent data pipelines Strong SQL and Python skills (e.G. pandas / PySpark) Hands-on experience with:

Azure Data Factory Azure Data Lake Storage (ADLS) Azure Databricks Azure Synapse Analytics (or similar)

Experience with orchestration tools (e.G. ADF, Databricks Workflows, Airflow) Exposure to Power BI Experience with version control (Git) Experience working in regulated environments Data Modelling Practical experience applying:

Kimball Data Vault 2.0

Preferred Experience Experience within the Energy sector Experience delivering solutions under government or public-sector contracts Experience building end-to-end data solutions Experience supporting analytics Familiarity with CI/CD (Azure DevOps) Proficient / Fluent Dutch Personal Attributes Strong stakeholder engagement skills Analytical and structured thinker Able to translate business and regulatory needs into technical solutions Comfortable working in cross-functional teams Qualification A relevant Bachelor's or Master's degree (HBO / WO) in Information Technology, Computer Science, Engineering, Data & Analytics, or a related field is required.