Data Engineer

🔒 Confidential Employer
Posted 23 April 2026
LOCATION
United Kingdom
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

SQL Snowflake Data Modeling ETL Databricks Spark Agile Data Pipelines

FULL DESCRIPTION

Data Engineer

[Employer hidden — view at passion-project.co.uk] UK are looking to recruit a self-motivated, highly logical and intellectually curious Data Engineer’s to join our expanding Data capability in the UK. As a growing business area, the ideal candidate will have the opportunity to help shape the technical and business land-scape, whilst delivering a variety of challenging projects

YOU WILL BE

  • Joining one of the fastest growing consultancies in Europe. We are now 1650+ people. We’re doers who think. Who can take the client’s strategy, turn it into an actionable blueprint and help the client get it done. Who have deep expertise in operationalising strategy, process design, digitisation, data and analytics, automation, technology and change. But because the whole will always be greater than the sum of the parts, we weave these skills together in different ways to respond to new opportunities and challenges.

RESPONSIBILITIES:

  • Analyse and organise raw data
  • Build data systems and pipelines
  • Evaluate business needs and objectives
  • Interpret trends and patterns
  • Conduct complex data analysis and report on results
  • Prepare data for prescriptive and predictive modelling
  • Build algorithms and prototypes
  • Combine raw information from different sources
  • Explore ways to enhance data quality and reliability
  • Identify opportunities for data acquisition
  • Develop analytical tools and programs
  • Collaborate with data scientists and architects on several projects

Experience

  • Proven track record of success in Data Engineering teams
  • Experience with relational and MPP databases (Snowflake, Redshift, Big Query etc).
  • Experience with data modelling techniques (Kimball/Star, Datavault, etc).
  • Experience with SQL and query design on large, complex datasets.
  • Experience with cloud and big-data tools and frameworks like Databricks/Spark, Airflow, Snowflake, etc.
  • Expertise designing and developing with distributed data processing platforms like Databricks/Spark.
  • Experience using ELT/ETL tools such as DBT, FiveTran, etc.
  • Understanding of Agile Delivery best practice
  • Strong problem-solving and analytical abilities.
  • Ability to present solutions and limitations to non-IT business experts

Keywords

Location

United Kingdom

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