Data Engineer

Burns Sheehan
Watford
1 month ago
Applications closed

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As a Data Engineer, you’ll design, build, and maintain robust data pipelines that support analytics, reporting, and advanced data use cases across the organisation. You’ll work closely with the Head of Data & Intelligence, Senior Data Analyst, engineering teams, and business stakeholders to ensure data is accurate, timely, and accessible.


The role involves working with both high-volume, near real‑time data (e.g. device telemetry and operational events) as well as more traditional business data (e.g. sales and activations).


Key Responsibilities

  • Design, build, and maintain scalable batch and near real‑time data pipelines
  • Ingest data from devices, databases, APIs, and third‑party platforms
  • Implement ETL/ELT processes to produce analytics- and reporting‑ready datasets
  • Support near real‑time operational and product performance observability
  • Contribute to the implementation of a modern, cloud‑based data platform
  • Implement data validation, reconciliation, and monitoring processes
  • Ensure high standards of data quality and governance
  • Partner with analytics, product, engineering, and business teams
  • Enable self‑service data access via approved tools and patterns
  • Produce and maintain clear technical documentation

What Success Looks Like

  • Reliable, scalable data pipelines supporting analytics and reporting
  • High‑quality, trusted data accessible across the organisation
  • Stakeholders empowered to make informed, data‑driven decisions
  • A collaborative and data‑focused culture embedded across teams
  • Proven experience as a Data Engineer or in a similar role
  • Strong skills in SQL, Python, PySpark
  • Experience with orchestration and transformation tools (e.g. Airflow, dbt)
  • Experience with cloud data platforms (e.g. Snowflake, Redshift, Databricks, ADF, MS Fabric)
  • Solid understanding of data modelling, ETL/ELT, and data warehousing
  • Familiarity with DevOps practices and version control (e.g. GitHub)
  • Strong communication and stakeholder engagement skills

Nice to Have

  • Experience with high‑volume or near real‑time data
  • Exposure to BI tools such as Power BI, Tableau, or Looker
  • Competitive salary with annual bonus scheme
  • Annual salary review
  • Statutory pension contribution
  • Life assurance – 4x basic salary
  • Private medical insurance
  • Group Income Protection
  • 24/7 Cash Plan
  • 25 days holiday, increasing by 1 day for every 5 years’ service (up to 30 days)
  • Volunteer leave
  • Employee Assistance Programme (EAP) – 24/7 support
  • Flu jabs contribution
  • Eye care contribution
  • Lifetime financial wellbeing subscription

Perks & Everyday Extras

  • Green electric salary sacrifice car scheme
  • PerkHub employee discount platform
  • Free fruit and breakfast foods
  • Refer a Friend bonus
  • Long service awards

Seniority level

Mid‑Senior level


Employment type

Full‑time


Job function

Information Technology


Industries

Technology, Information and Media, Data Infrastructure and Analytics, and IT System Data Services


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