Senior Data Engineer: Azure & Databricks Lead (Hybrid)

Ad/01; Netherlands; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Annual bonus

Benefit platform

Global across-brand network

Job summary

Albert Heijn seeks a Senior Data Engineer to lead data pipeline design and delivery in a modern Azure-based data landscape. You will build scalable data platforms, mentor engineers across squads, and collaborate with product owners to align technical direction with business goals.

You will drive data quality, observability, and platform reliability while applying DevOps practices and modern data architectures to power decision making and customer experiences. Hybrid work is available.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• 5+ years of data engineering experience with the listed tech stack.
• Hands-on with Azure data services: Data Factory, Data Lake, Event Hubs.
• Proficient in Databricks, Spark, Delta Lake, Python (PySpark) and SQL.
• Experience with CI/CD (Git, GitHub Actions) and Terraform.
• Strong data modeling (dimensional modeling, star schemas).
• Monitoring/observability with Azure Monitor, Prometheus, Grafana.
• Orchestration of pipelines with Azure Data Factory.
• Testing, data validation, and schema enforcement.
• Experience with real-time and batch processing.
• Knowledge of data governance, privacy, and compliance.

Responsibilities

• Design, develop, and maintain robust data pipelines and data marts using Azure and Databricks.
• Implement data quality frameworks, monitoring systems, and automated validation.
• Optimize data workflows for performance, reliability, and fault tolerance.
• Apply DevOps practices including CI/CD, version control, and infrastructure automation.
• Contribute to platform evolution and evaluate new technologies for analytics.
• Mentor junior and medior engineers and lead technical initiatives.
• Collaborate with product owners and stakeholders to translate requirements into solutions.

Skills

Data engineering

Technical leadership

Collaboration

Education

Bachelor’s degree in Computer Science, Data Engineering, or a related field

Tools

Azure Data Factory

Azure Data Lake

Event Hubs

Databricks

Spark

Delta Lake

Python (PySpark)

SQL

Git

GitHub Actions

Terraform

Azure Monitor

Prometheus

Grafana

Azure Data Factory pipelines

Job description

Albert Heijn seeks a Senior Data Engineer to lead data pipeline design and delivery in a modern Azure-based data landscape. You will build scalable data platforms, mentor engineers across squads, and collaborate with product owners to align technical direction with business goals.

You will drive data quality, observability, and platform reliability while applying DevOps practices and modern data architectures to power decision making and customer experiences. Hybrid work is available.