Data Engineer

At Sytac, we build high-performing engineering teams for leading organizations. We combine a pragmatic, people first culture with technical craftsmanship, giving experts the autonomy to drive innovation while balancing architectural vision with hands-on delivery.

For one of the largest telecommunications providers in the Netherlands, we are looking for an experienced Data Engineer. In this hybrid role, you will act as a bridge builder between Business and IT, combining solution architecture with hands-on development to support Finance and HR domains. You will join the Corporate Insights & Analytics (CIA) department, working in a multidisciplinary team to transform complex data landscapes into future-proof AI and information products.

What you’ll do

• Create future-proof data products for AI, dashboards, and forecasting models.
• Develop solutions in line with the broader data architecture vision to support corporate steering.
• Configure and optimize metadata-driven data pipelines for maximum efficiency.
• Develop and execute monitoring activities to ensure the health and reliability of existing data products.
• Present technical solutions to colleagues and end-users across the CIA chain, translating business needs into technical designs.
• Ensure high standards through documentation and adherence to Azure security and governance policies.

What we’re looking for (Must Haves)

• Minimum 5 years of relevant work experience with a background in Computer Science or a relevant STEM field (HBO/WO level).
• Deep experience with Azure Data Factory, Azure Data Studio, and Azure SQL.
• Hands-on experience with the Microsoft Fabric ecosystem.
• Strong proficiency in SQL and data modeling techniques (e.g., Star Schemas).
• Experienced with Azure DevOps, Git, and automated deployment processes.
• Solid understanding of Azure security, policies, and governance frameworks.
• Strong proactive mindset with excellent communication skills in both Dutch and English.
• NL residency (no sponsorship).

Tooling: Azure Data Factory, Microsoft Fabric, Azure SQL, Azure DevOps, Git.

Nice to have

• Technical extras: Knowledge of C#, PowerShell, SSIS, or SSAS.
• Domain Knowledge: Familiarity with Finance and HR business processes.
• Innovative Mindset: Ability to bring an "outside-in" perspective to drive digital transformation.