Senior Databrics Engineer/Architect @ eConsulting

3 days ago

Remote Warszawa, Czech Republic eConsulting Full time

5+ years of experience in data engineering or architecture, ideally within Azure environments.  Strong hands-on experience with Azure Databricks, Spark (PySpark/Scala), and Delta Lake.  Solid understanding of data modeling, ETL/ELT design, and distributed data processing.  Familiarity with ADF, Synapse, Azure Data Lake, and DevOps pipelines.  Experience with performance tuning, cost optimization, and governance in Databricks.  Knowledge of modern data architectures (lakehouse, medallion).  Fluent Polish & English and a genuine passion for Data & Analytics.  Workplace: 100% Remote Workload: Full-time Contract type: Contract of Mandate / B2B Role Overview The Databricks Engineer / Architect will be responsible for designing, developing, and optimizing scalable data and analytics solutions using Azure Databricks. The role involves building robust data pipelines, implementing data governance frameworks, and ensuring the reliability, security, and performance of analytical environments. The ideal candidate combines deep technical expertise with a passion for modern data platforms and business value creation through analytics. What do we offer? Benefits package (private medical care, sports card, group insurance).  Free English lessons with a dedicated teacher.  Access to an extensive training library covering both soft and technical skills.  Sports activities outside of work.  Team-building events, competitions, and challenges.  Who we are – in a few words: Industry: We operate in the IT sector. Clients: We support international companies from regulated industries (banking, finance, insurance, pharmaceuticals). Services: We provide comprehensive quality assurance and implement modern HR platforms for employee management. ,[Design and implement end-to-end data pipelines in Azure Databricks (Spark, Delta Lake, SQL, Python). , Architect and optimize data lakehouse environments, ensuring scalability and data quality. , Integrate data sources across Azure ecosystem (ADF, Data Lake, Synapse, Event Hub). , Develop and enforce data governance, metadata management, and lineage tracking standards. , Collaborate with data scientists, analysts, and business teams to enable self-service analytics. , Implement CI/CD pipelines, infrastructure-as-code (Terraform/Bicep), and monitoring for data workloads. ] Requirements: Databricks, Data pipelines, Azure Data Lake, Azure Databricks, SQL, Azure, ADF, Data modeling, ETL, PySpark, Scala Additionally: Sport Subscription, Private healthcare, English lessons, Life & group insurance, Integration events.

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