Transform
Transform
Transform is a technology and data consultancy that helps public and private organizations build competitive advantage while creating positive social impact. Its multidisciplinary work brings together strategy, research, service design, technology, data, and change delivery to uncover user needs, improve services, create stronger experiences, and support digital transformation. The company works across sectors including healthcare, logistics, and marketing, with an inclusive, high-performance culture focused on practical outcomes and meaningful change.

Data Engineer - Hybrid, United Kingdom

Build pipelines, data models, and analytics solutions for Transform’s public-sector and enterprise clients. Improve data quality and delivery as part of agile engineering teams.

Description

  • Develop and support data pipelines, transformations, and related engineering processes
  • Apply business rules and create data models that satisfy agreed requirements
  • Take part in code reviews, testing, deployments, and ongoing operational support
  • Investigate and fix data quality problems and pipeline failures
  • Work productively with cross-functional colleagues in agile delivery teams
  • Record technical solutions and help maintain shared engineering standards
  • Turn business and technical requirements into reliable, maintainable solutions
  • Help improve the team’s delivery practices and standards over time

Requirements

  • Demonstrated proficiency in SQL and Python
  • Experience operating production data pipelines with contemporary data engineering tools
  • Solid knowledge of data modelling, warehousing, and data quality practices
  • Practical experience with at least one cloud platform, including Azure or AWS
  • Working knowledge of CI/CD, source control, and software testing
  • Strong analytical, troubleshooting, and communication abilities
  • Experience with Databricks, Data Factory, Fabric, Airflow, DBT, or a comparable tool is advantageous
  • Experience handling both structured and semi-structured data is advantageous
  • Awareness of data security, governance, and compliance considerations is advantageous
  • Interest in emerging technologies, especially developments across AI and data
  • Commitment to ongoing learning and a growth-oriented approach

Benefits

  • 28 days of holiday, with the option to buy or sell up to 5 days; 3 days are reserved for the Christmas period
  • A day off on or during the week of your birthday
  • Pension contributions matched by the employer up to 5%
  • Private healthcare coverage
  • Life assurance
  • Enhanced maternity, paternity, and shared parental leave
  • Cycle-to-work schemes
  • Gym and retail discounts
  • Regular social events and activities
  • Additional options through the flexible benefits package
  • Work with meaningful impact in an environment that supports professional growth
  • A supportive, inclusive, and trusted workplace
  • Adjustments can be provided during the recruitment process

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