Zaizi

Data Engineer

Zaizi

full-time

Posted on:

Location Type: Hybrid

Location: London • 🇬🇧 United Kingdom

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Job Level

Mid-LevelSenior

Tech Stack

CloudPythonSQL

About the role

  • Design, build and operate modern data pipelines and analytics platforms for digital services across the UK public sector.
  • Work as part of multidisciplinary, agile teams to enable organisations to collect, process and use data effectively.
  • Apply sound data engineering practices rather than promoting any single technology or cloud provider.
  • Work independently on well-defined problems and exercise judgement in selecting appropriate tools and approaches.
  • Contribute to the continuous improvement of data platforms and ways of working in line with GDS standards, government data principles, and secure-by-design practices.

Requirements

  • Design, build and maintain reliable data pipelines to ingest, transform and serve data from multiple sources.
  • Develop analytics-ready data models that support reporting, operational insight and downstream analysis.
  • Support the full data lifecycle, including data retention, archiving and decommissioning, in line with data policy and statutory obligations.
  • Apply data quality, testing and monitoring practices to ensure data is trustworthy and fit for purpose.
  • Understand user and business needs and translate them into practical, well-engineered data solutions.
  • Contribute to shared data standards, documentation and data dictionaries.
  • Work collaboratively with delivery teams and customers to identify opportunities where better use of data can improve outcomes.
  • Strong commercial experience in building and operating data pipelines using modern data engineering patterns.
  • Strong SQL skills and experience with at least one programming language commonly used in data engineering (e.g. Python).
  • Experience with data integration, transformation and orchestration tools.
  • Designing and working with analytical data stores.
  • Applying software engineering and DevOps practices to data.
  • Working with cloud platforms, while remaining technology- and vendor-agnostic.
  • Using and contributing to open-source tools and frameworks.
Benefits
  • 25 days paid holiday, plus bank holidays
  • Vitality medical insurance
  • Workplace Pension 5% employer contribution
  • Group Life Assurance
  • Cycle scheme
  • 5 days a year for approved Training
  • WFH equipment allowance
  • Buy / Sell Holiday
  • 2 days paid volunteering days
  • Flexible working
  • Work on exciting projects - make a difference
  • Empowered to make decisions
  • Encouraged to fail fast and learn quickly
  • 1-2-1 and team coaching / training available to all our staff

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data pipelinesdata modelsdata qualitySQLPythondata integrationdata transformationdata orchestrationsoftware engineeringDevOps
Soft skills
collaborationjudgementproblem-solvingcommunicationuser needs understanding