Data Engineer — Scalable Pipelines on Microsoft Fabric

MultiTankcard; Schiphol-Rijk; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Health insurance

Phone allowance

25 days holiday

Work abroad option

Job summary

Multitankcard is building the next generation of its data platform on Microsoft Fabric. You will design and implement data pipelines from diverse sources, ensure reliability and scalability, and drive architectural standards across the data stack.

As part of a small, ambitious Data & Analytics team, you’ll shape data governance, performance tuning and cost controls while delivering business-ready insights at scale.

Qualifications

• 3+ years of hands-on experience building data ingestion and ETL pipelines.
• Strong knowledge of SQL/T‑SQL and PySpark/Python.
• Experience with Delta Lake and medallion-style architectures, including incremental load patterns.
• Understanding of analytics and semantic modelling to produce business-ready data.
• Communication and stakeholder management skills, with bachelor’s-level thinking.
• Bachelor’s degree or equivalent working and thinking ability.

Responsibilities

• Build and manage data pipelines from source systems, APIs and files into Microsoft Fabric.
• Shape and maintain the medallion architecture across Lakehouse and Warehouse environments.
• Develop scalable transformations using PySpark, Python and T-SQL.
• Keep the platform healthy by monitoring, logging, alerting and troubleshooting.
• Manage Fabric capacity, performance and cost as the platform grows.
• Help establish strong engineering standards around CI/CD, security and governance.

Skills

SQL/T‑SQL

PySpark

Python

Delta Lake

Medallion architecture

Data pipelines

ETL

Analytics modelling

Stakeholder management

Bachelor's level thinking

Education

Bachelor's degree

Tools

Microsoft Fabric

Exasol

Job description

Multitankcard is building the next generation of its data platform on Microsoft Fabric. You will design and implement data pipelines from diverse sources, ensure reliability and scalability, and drive architectural standards across the data stack.

As part of a small, ambitious Data & Analytics team, you’ll shape data governance, performance tuning and cost controls while delivering business-ready insights at scale.