Data Engineer

We’re opening the position of an Expert Data Engineer to work on the project of our Customer — an international company that develops software solutions for small and mid-sized municipalities. The project focuses on a product suite that supports key local government operations, including finance, utility billing, HR, payroll, online payments, tax collection, and asset management.

Responsibilities:

• Own the target architecture: medallion layering, Unity Catalog structure (metastore, catalogs, schemas, naming, environments), and the storage layout
• Evaluate ingestion options (Auto Loader, Lakeflow Connect, Lakeflow Declarative Pipelines, ADF/Fivetran, streaming vs batch) and recommend an approach with cost, complexity and latency trade-offs
• Define the governance model: access control and grants; external locations and storage credentials; lineage, tagging, and PII handling
• Set the compute strategy: serverless vs classic, job clusters, SQL warehouses, cluster policies, and cost controls
• Define standards for orchestration (Jobs/Workflows), data maintenance (optimization, retention, vacuum, schema evolution) and data quality
• Design reporting-ready Gold models together with BI Engineers and business stakeholders
• Set up the engineering framework: CI/CD (Databricks Asset Bundles), environment promotion, and IaC
• Guide and review the work of Data Engineers, and stay hands-on for PoCs and critical components

Requirements:

• 7+ years in Data Engineering or architecture, with 3+ years designing Databricks platforms in Production
• Deep Unity Catalog expertise: metastore design, managed vs external tables and volumes, external locations, permissions model, lineage, and system tables
• Proven skills in end-to-end medallion lakehouse design and delivery
• Strong Delta Lake internals knowledge: MERGE/CDC patterns, liquid clustering or Z-order, CDF, time travel, and maintenance
• Broad knowledge of Databricks ingestion patterns and the ability to justify choices between them
• Understanding of analytical data modelling: dimensional/Kimball, SCD, and Data Vault awareness
• Strong PySpark and SQL skills, with the ability to build PoCs personally
• CI/CD and IaC expertise, covering Asset Bundles and Terraform
• A proven track record of producing architecture decision records and presenting options to stakeholders
• English level — Upper-Intermediate or higher

Will be a plus:

• Databricks Data Engineer Professional or Solutions Architect certification
• Ability to work with cloud architecture on Azure or AWS (networking, IAM, private endpoints)
• Skills with Structured Streaming and Kafka/Event Hubs
• Knowledge of data quality frameworks such as Lakeflow expectations, Great Expectations, and DQX
• Ability to work on BI integration, including Power BI or Tableau on Databricks SQL, metric views, and semantic layers
• Experience in consulting or regulated environments

We offer:

• Remote-first work model with flexible working hours (we provide all equipment)
• Comfortable and fully equipped offices in Lviv and Rzeszów
• Competitive compensation with regular performance reviews
• Referral Bonus Program
• 18 paid vacation days per year
• 12 days of paid sick leave per year
• Extra paid leave (blood donation, marriage, childbirth, etc.)
• Health & wellness support: either a monthly budget for medical insurance and sports activities, or a full medical insurance plan, depending on your cooperation model
• Mental Health Program — company-covered psychologist consultations, with an annual coverage limit
• English, German, and Polish language courses and Speaking Clubs
• Corporate merch gifts for your special dates
• Corporate subscription to learning platforms, regular meetups and webinars
• Friendly team that values accountability, innovation, teamwork, and customer satisfaction
• Maternity leave
• Inclusive environment where everyone feels valued and treated equally. We proudly partner with VeteranHub to support Ukrainian veterans
• We are committed to supporting Ukraine and actively participate in charity initiatives

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