Senior Data Engineer

Project  Description:

We are seeking a nearshore Senior Data Engineer with strong experience in the Azure cloud and modern data platform delivery. Deep expertise in Microsoft Fabric is a strong advantage, while candidates with recent hands-on experience building Fabric-like solutions on Azure (such as Synapse, ADF, Databricks) together with Power BI are also encouraged to apply. The role covers ownership of end-to-end pipelines and data products in production, including CI/CD, monitoring, data quality, and secure access patterns, with independent work and clear communication in a distributed team environment.

Qualifications (what is expected):

• Azure data platform engineering (end to end), 5 years, senior

• CI/CD for data (Git, PR discipline, environment promotion, release hygiene), 3 years, senior

• Clear written communication and stakeholder updates, 5 years, senior

• Data modelling for analytics (dimensional modelling, star schema, curated layers), 4 years, senior

• Fabric-like Azure stack hands-on (Microsoft Fabric of vergelijkbare set-up: Synapse + ADF + Databricks + ADLS, met Power BI), 4 years, senior

• Modern orchestration and ingestion (ADF/Synapse Pipelines of Fabric Pipelines, incremental loads, parameterisation, error handling), 4 years, senior

• Ownership and autonomous delivery in distributed teams, 5 years, senior

• Pragmatic engineering judgement, 5 years, senior

• Problem solving and root-cause analysis (production incidents, performance issues), 5 years, senior

• Security fundamentals (RBAC, least privilege, managed identities/Entra ID, RLS basics), 3 years, senior

• Spark engineering (PySpark notebooks, optimisation, Parquet/Delta), 3 years, senior

• SQL (complex queries, performance tuning, warehouse patterns), 6 years, senior

Nice to have

• Data product thinking, 3 years, mid-level

• HR, payroll, or HR services data, 2 years, mid-level

• Microsoft Fabric (Lakehouse/Warehouse/OneLake, Dataflows Gen2, semantic model basics), 2 years, senior