Pracyva
Hiring: Data Engineer (Azure Databricks)
Location: London, UK
Employment Type: Contract
Eligibility: UK-based candidates with valid work authorization only. No sponsorship available.
We are looking for an experienced Data Engineer with strong expertise in Azure Databricks and modern Azure data platforms to design, build, and deliver scalable data engineering solutions.
Key Requirements:
8–10 years of experience in Data Engineering with strong Azure expertise
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage Gen2, Azure SQL/Postgres, and Azure Analytics Services
Strong experience designing enterprise-scale data warehouses, data lakes, data mesh, and analytics solutions
Proficiency in PySpark/Scala, SQL, and data pipeline development
Experience with Apache Airflow (preferred), Control-M, or Autosys for workflow orchestration
Knowledge of Azure Identity (SPN, SAMI, UAMI)
Experience with Docker, Git, GitLab/GitHub, CI/CD, and DevOps practices
Familiarity with Terraform, ARM Templates, YAML, Azure Functions, and Logic Apps is a plus
Experience with Kafka and ETL tools such as Informatica, SSIS, or Talend is desirable
Strong understanding of Agile methodologies (Scrum/Kanban) and excellent communication skills