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Transform

Technology and data consulting for growth

Data Engineer

Data EngineeringUpdated on Nov 14
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Strong SQL and Python skills.
  • Experience working with production data pipelines and modern data tooling.
  • Good understanding of data modelling, data warehousing, and data quality principles.
  • Familiarity with at least one cloud platform such as Azure or AWS.
  • Working knowledge of CI/CD, version control, and testing practices.
  • Strong problem-solving and communication skills.

Responsibilities

  • Build and maintain data pipelines, transformations, and supporting processes.
  • Implement business logic and data models to meet agreed requirements.
  • Contribute to code reviews, testing, deployment, and operational support.
  • Diagnose and resolve data quality and pipeline issues.
  • Collaborate effectively within agile, cross-functional delivery teams.
  • Document solutions and contribute to shared engineering standards.
  • Translate requirements into maintainable technical solutions and contribute to continuous improvement of team delivery standards.

Desired Qualifications

  • Experience with tools such as Databricks, Data Factory, Fabric, Airflow, DBT, or equivalent.
  • Experience working with structured and semi-structured data sources.
  • Understanding of data security, governance, and compliance requirements.

About the Company

Transform

Technology and data consulting for growth

Transform is a technology and data consulting firm that helps clients grow, stay relevant to their audiences, and save costs by defining, designing, building, and operating products and services. It offers services in data engineering, data science, agile project management, DevOps, and deployment, delivering scalable and sustainable solutions tailored to each client’s needs. The firm works through high-performance, expert-driven engagements, typically on a project basis, to drive measurable outcomes for clients. Its goal is to amplify business outcomes by enabling growth, efficiency, and relevance through pragmatic, end-to-end technology and data initiatives.

Company size
Not listed
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2010

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