Senior Data Engineer (Azure, Databricks)

Quick Facts

• Role: Senior Data Engineer (Azure, Databricks)

• Work model: B2B contract, full-time (40 h/week), 100% onsite

• Location: Wrocław

• Rate: up to 165 PLN/h net (+ VAT)

• English: C1

Description

Build and optimize Azure and Databricks data pipelines, including migrating legacy data to next-generation platforms for a financial services environment. You will create ETL/ELT workflows and analysis-ready datasets, configure ingestion into staging and data lake structures, and ensure data quality and performance. Work with cross-functional agile teams to deliver actionable insights.

Responsibilities

• Extract, combine, transform, load, and cleanse data from multiple sources, including legacy migrations

• Partner with data modellers and business analysts on data model and source-to-staging mapping

• Create analysis-ready data structures, including DDLs for SQL Server tables/views within a data lake subset

• Develop Databricks notebooks to extract data from input files and join related entities into shared file formats

• Configure ingestion framework tables to load staging and data lake core tables

• Build scalable batch and real-time pipelines in cloud or on-prem environments

• Apply CI/CD best practices and introduce automation in integration flows

• Track data consumption patterns and collaborate on data governance and curated catalogues

• Improve data acquisition, testing, and tooling to raise data quality

• Monitor performance and optimize SQL queries

• Prepare detailed design documents from business/system requirements

• Participate in agile requirement analysis and estimation

Requirements

• 5+ years of experience in data engineering (ETL and cloud data tools)

• Bachelor’s degree in Computer Science/Engineering or related field (Master’s preferred)

• Microsoft Certified Azure Data Engineer

• Databricks Certified Data Engineer

• Proficiency in Python, Java, or Scala

• Hands-on experience with MS Cloud SQL Server, Azure Data Factory, Azure Databricks, PySpark, Spark SQL, ADLS, Power BI, SSIS, and SSRS

• Strong SQL skills and experience with relational databases

• Familiarity with big data technologies and data processing frameworks

• Experience with Agile/Scrum

• Strong problem-solving and communication skills

• English at C1 level

Benefits

• B2B full-time contract (40 h/week), 100% onsite in Wrocław

• Up to 165 PLN/h net (+ VAT)

• Opportunity to work on end-to-end data engineering, migration, and pipeline optimization in Azure/Databricks

• Direct contracting agreement through the recruitment/contracting party