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Salary: £50,000 - 50,000 per year
Requirements
: 1 - 3 years experience in Data Engineering, analytics, or related rolesStrong SQL and Python skillsExposure to cloud platforms (GCP preferred; Azure/AWS acceptable)Familiarity with data tooling: DBT, GIT, Terraform, Airflow, Docker (nice to have)Good problem-solving skills and attention to detailCollaborative mindsetInterest in Agile practices, Test-Driven Design, and modern data architectures Responsibilities: Build and maintain ETL/ELT data pipelines and platformsCollaborate with engineers, architects, and product managers on data solutionsSupport deployment, testing, and documentation of data productsWork with cloud-based tools, including BigQuery, Airflow, Terraform, DBT, and GITContinuously learn new tools and technologies, contributing to team knowledge and best practices Technologies: AirflowAWSAzureBigQueryCloudDockerETLGCPGitSupportPythonSQLTerraformdbt More: We are a leading organization based in London, seeking a Data Engineer to join our growing Data and Platform Engineering team. This hybrid, permanent position offers a salary range of £40,000 - £50,000, depending on experience. This is a fantastic opportunity for someone with around 2 years of experience looking to develop their career in cloud-based data engineering.
You will have the chance to work across the full lifecycle of data products in a collaborative environment, contributing to meaningful data solutions. last updated 30 week of 2026
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