About this role
Salary: £9,600 - 14,400 per year
Requirements: 8–10 years of hands-on data engineering experience.Strong commercial experience with Azure Databricks and Azure Data Factory.Advanced Spark development using Python or Scala, alongside strong SQL skills.Experience with Azure Data Lake Storage Gen2 and Azure SQL or PostgreSQL.Strong understanding of Azure analytics services and Azure identity, including SPN, SAMI and UAMI.Experience designing data lake, data warehouse, data mesh and service-oriented integration solutions.Previous ETL development experience using Informatica, SSIS, Talend or similar.Experience delivering solutions within an Agile SDLC environment.Strong Git, GitLab or GitHub experience, including branching, pull requests and CI/CD.Hands-on scripting experience with Linux or PowerShell.Exposure to Docker and automated testing practices.Experience with pipeline orchestration tools such as Apache Airflow, Autosys or Control-M, with Airflow preferred.Excellent written and verbal English communication skills.Kafka or other streaming technologies.Terraform, ARM templates, YAML or Puppet.GitLab CI/CD pipeline creation.Azure Functions and Logic Apps.Test-driven development.Previous experience delivering data solutions within an HR or employee lifecycle environment Responsibilities: Design and develop scalable data pipelines and analytics solutions using Azure Databricks and Azure Data Factory.Build and improve data products supporting HR and employee lifecycle processes.Translate business and technical requirements into production-ready solutions.Develop data lake, data warehouse and data mesh solutions using Azure services.Work with large, complex and multi-format datasets.Apply automated testing, CI/CD and DevOps practices throughout the development lifecycle.Build observability into solutions to monitor production health and support incident resolution.Ensure solutions meet security, reliability, compliance and performance standards.Collaborate with engineering, product, HR and other cross-functional teams.Contribute to technical decisions with long-term scalability and sustainability in mind. Technologies: AirflowARMAzureCI/CDData WarehouseDatabricksDevOpsDockerETLGitGitHubGitLabInformaticaSupportKafkaLinuxPostgreSQLPowerShellPuppetPythonSQLScalaSecuritySparkSSISTalendTerraformCloud More:
We are hiring an Azure Databricks Data Engineer in London on a hybrid working pattern, with 3–4 days per week onsite. This is an inside IR35 contract role within an HR technology environment, where we focus on building reliable, scalable and production-quality data solutions across the employee lifecycle. Our team works closely with engineering, product, HR and other cross-functional partners, with a strong emphasis on automation, testing, security, observability and long-term sustainability.
last updated 32 week of 2026