Databricks Data Engineer | Lakehouse Pipelines & Governance

Multitude; Amsterdam; Hybrid; EUR 55,855 - 66,904; Full time

Benefits offered by this job

Global workforce

Hybrid & Flexible Work

Growth programmes

Share purchase programme

Workation

Job summary

Multitude is hiring a Databricks Data Engineer to design, build, and operate scalable data pipelines and curated data products on Databricks. You will work across ingestion, transformation, governance, and delivery layers using SQL, Python, and PySpark while applying strong data warehousing principles.

The role emphasizes hands-on Databricks platform capabilities (Unity Catalog, Lakeflow) and quality by validation and expectations, with a starting salary of €5,500 per month (B2B).

Qualifications

• Hands-on Databricks experience in production environments.
• Strong SQL, Python, and PySpark skills for data engineering.
• Experience with Unity Catalog and Lakeflow Declarative Pipelines.
• Solid data warehousing design knowledge (Kimball, Inmon, or Data Vault).
• Understanding of orchestration, incremental processing, SCDs, metadata management, and observability.
• Nice-to-have: Microsoft SQL Server, Azure experience, Git-based CI/CD for data pipelines.

Responsibilities

• Build and maintain production-grade data pipelines in Databricks using SQL, Python, and PySpark.
• Implement ELT/ETL patterns for batch and streaming data processing where relevant.
• Develop and maintain Lakehouse data models and curated datasets aligned with DWH best practices (Kimball/Inmon/Data Vault).
• Use Databricks-native capabilities to implement robust, maintainable pipelines (Lakeflow Declarative Pipelines).
• Implement data quality checks (Expectations) and monitoring to ensure reliability and trust in data products.
• Configure and manage governance and access controls using Unity Catalog, including catalogs/schemas, permissions, and lineage-friendly practices.
• Optimize performance and cost (cluster sizing, partitioning, file sizes, caching, query optimization).
• Collaborate with analytics, data science, and engineering stakeholders to translate requirements into well-defined data contracts and deliverables.
• Create and maintain technical documentation for pipelines, models, and operational runbooks.
• Support operational excellence: incident response, root-cause analysis, and continuous improvement of data platform reliability.

Skills

SQL

Python

PySpark

Data warehousing

Tools

Databricks platform

Unity Catalog

Lakeflow Declarative Pipelines

Job description

Multitude is hiring a Databricks Data Engineer to design, build, and operate scalable data pipelines and curated data products on Databricks. You will work across ingestion, transformation, governance, and delivery layers using SQL, Python, and PySpark while applying strong data warehousing principles.

The role emphasizes hands-on Databricks platform capabilities (Unity Catalog, Lakeflow) and quality by validation and expectations, with a starting salary of €5,500 per month (B2B).