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Azure Data Engineer

Andrii ryzhenko -

Location: Ukraine, Remote
Type: Full-time, B2B
Start date: early July 2025

Our client is a fast-growing swiss consulting company that empowers large enterprises through data-driven transformation. With a strong partnership with Microsoft and a focus on cloud technologies, artificial intelligence, and data engineering, they deliver innovative solutions for some of the world’s leading brands across finance, pharma, retail, and manufacturing sectors. The company operates across multiple European locations and has received several awards for excellence in cloud and AI consulting.

About the Role

We are looking for a Middle Azure Data Engineer to join our client’s team. You will be part of a dynamic and multicultural data engineering team, helping enterprise clients build robust, scalable, and modern data platforms in Azure.

Key Responsibilities

  • Design, build, and maintain scalable ETL/ELT data pipelines using Python/ PySpark
  • Develop and optimize data lake and data warehouse solutions in Azure Synapse Analytics or related services
  • Designing, building, and orchestrating complex data pipelines
  • Developing notebooks, jobs, and clusters for big data processing
    • 3+ years of professional experience in data engineering
    • at least 2 years of experience with Databricks and Azure Data Factory.
    • Experience with SQL (T-SQL or Spark SQL) for data querying, transformation, and optimization
    • Understanding of data modeling, data partitioning, and performance tuning
    • Knowledge of data lake architecture, particularly with Azure Data Lake Storage Gen2 (ADLS Gen2)
    • Familiarity with DevOps and Infrastructure as Code (IaC) for deploying data infrastructure (e.g., ARM templates, Terraform)
    • Proficient in monitoring and debugging data workflows using Databricks logging, ADF monitoring, and Azure Monitor
    • Experience with version control (e.g., Git) and CI/CD for data pipelines using tools like Azure DevOps
    • Familiarity with Azure Synapse Analytics or SQL Pools for data warehousing and analytics workloads
    • Fluent English B2+ level

Ensure data quality, governance, and security best practices are implemented across the solution

Requirements

Interested? Send your CV to us, and we’ll be happy to discuss!