Information about the position Job description, responsibilities and dutiesWe are 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 (Kimball). This role requires hands-on experience with Databricks platform capabilities, including Unity Catalog and Lakeflow Declarative Pipelines, and a disciplined approach to quality using validation/expectations.Key ResponsibilitiesBuild and maintain production-grade data pipelines in Databricks using SQL, Python and PySpark. Implement ELT/ETL patterns for batch and (where relevant) streaming data processing. 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 (e.g., Lakeflow Declarative Pipelines). Implement data quality checks (e.g., 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. Employee perks, benefitsWe offer:At Multitude, we believe in empowering our employees to thrive personally and professionally. Here's what you can look forward to:A Truly Global Workplace – work with professionals from 40+ nationalities, bringing diverse expertise, perspectives, and a collaborative international culture.Hybrid & Flexible Work – we support work-life balance with remote work options and modern office spaces across Europe.A Culture of Growth – we invest in your future, offering LinkedIn Learning, mentorship, and professional development programmes, including HiPo and leadership development initiatives to support career advancement.Financial Growth Opportunities – benefit from our share purchase matching programme, allowing you to invest in your future with matched contributions and long-term financial rewards.Workation Programme – work remotely from different countries for up to 2 months per year, experiencing new cultures while staying connected and productive.Private Health Insurance – access comprehensive medical coverage to support your health. Pension Insurance – secure your financial future with a fully funded pension scheme.

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Senior Databricks Data Engineer