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Data Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Apply now!
Full Time position
Listed on 2026-07-30
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 75000 GBP Yearly GBP 60000.00 75000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

The role

As Data Engineer, you’ll design, build and maintain reliable, secure and reusable data pipelines, models and automation for DK. You’ll help to make trusted data available for reporting, analytics and operational workflows, essentially making it easier for DK teams to access, understand and use data confidently.

Reporting to the Head of Data Engineering, you’ll work with tools and platforms such as Snowflake, Python, SQL, dbt, Fivetran, Power BI, Microsoft Fabric, Git Hub and cloud services. You’ll also support strong data governance, documentation, monitoring and service quality. This role would suit someone who enjoys solving practical data problems, working with both technical and non-technical colleagues, and building solutions that are robust, scalable and genuinely useful.

What you’ll be doing

Key responsibilities
  • Build and manage data pipelines so that data can move reliably between systems and be used for reporting, analytics and day to day operations.
  • Maintain DK’s Snowflake data environment, including data models, schemas, performance, and data quality controls.
  • Bring together data from different internal and external sources and make sure it is secure, accessible and aligned with PRH data standards.
  • Automate manual data and reporting processes using cloud tools, Git Hub and other services to improve efficiency and reliability.
  • Manage CI/CD processes for data solutions, making sure development is properly tested, documented and moved between environments safely.
  • Support BI and reporting needs, working with analysts and stakeholders on dashboards, reports and tools such as Power BI and Microsoft Fabric.
  • Create clear documentation including technical notes, data definitions and service transition materials.
  • Support testing, incident resolution and performance monitoring for DK data solutions.
  • Lead technical conversations and reviews, sharing best practice across data engineering, automation, data modelling and BI.
  • Keep improving DK’s data infrastructure by staying current with tools and identifying better ways of working.
  • Work closely with Data Governance, making sure monitoring, alerting and metadata are kept up to date.
What you’ll bring

Essential criteria
  • Strong experience in data engineering, business intelligence development or data platform engineering, with a proven track record of designing, building and supporting scalable data integration solutions.
  • Strong knowledge of Snowflake and other cloud data platforms, including schema design, data modelling, secure access and performance management.
  • Excellent SQL skills, ideally within Snowflake, including data extraction, transformation, analysis, performance optimisation and working with large, structured datasets.
  • Strong Python skills for data processing, automation and integration, with the ability to build maintainable, well documented solutions.
  • Practical experience of building and managing data pipelines using ETL or ELT frameworks, with knowledge of tools such as dbt, Fivetran or similar.
  • Understanding of BI data modelling and reporting tools, such as Power BI, Microsoft Fabric or Looker, including how to structure data for reporting and self-service analytics.
  • Experience working with technical and non-technical stakeholders to understand requirements, translate business needs into data solutions, and support the accurate use of data across an organisation.
  • A good understanding of data governance, data quality, privacy and compliance considerations, with an appreciation of how these apply to reliable and responsible data use.
  • Familiarity with cloud services, deployment practices or CI/CD pipelines, such as Git Hub Actions or similar, would be helpful.
  • You’ll be collaborative and inclusive, able to build trusted relationships across DK, PRH, technical teams, analysts and business stakeholders.
  • You’ll take ownership of problems and follow through to delivery, balancing pace with quality, security and long term maintainability.
Desirable criteria
  • Some experience of mentoring colleagues, contributing to technical design discussions or reviewing the work of other data professionals would be beneficial.
Disability Confident

As a Disability Confident…

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