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Data Engineer

Job in Newton-le-Willows, St Helens, Merseyside, L34 2GA, England, UK
Listing for: Candour
Full Time position
Listed on 2026-03-02
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Newton-le-Willows

I'm currently working with a client who is looking for a Senior Data Engineer to take ownership of our core data platforms, with a strong focus on database reliability, performance and scalable data pipelines. This is a hands‑on role combining senior data engineering with DBA responsibilities and Business Intelligence support.

You will lead the management and optimisation of our Microsoft SQL Server environment, ensuring our databases and data pipelines are secure, resilient and high‑performing to support analytics, applications and reporting.

Key Responsibilities
  • Own database health, performance, availability and recoverability
  • Manage maintenance, upgrades, migrations and performance tuning
  • Implement security, access controls and data integrity standards
  • Act as escalation point for complex database incidents
Reliability & Operations
  • Ensure high availability and disaster recovery readiness
  • Define and monitor SLAs for uptime and performance
  • Plan preventative maintenance and manage controlled releases
  • Design and maintain scalable ETL/ELT pipelines
  • Optimise data models and transformations
  • Ensure data quality, consistency and documentation
Reporting & BI
  • Support SSRS and Power BI datasets, gateways and refresh schedules
  • Optimise queries and reporting performance
  • Provide reliable, well‑structured data sources to stakeholders
  • Partner with developers on schema design and query optimisation
  • Align database changes with release cycles
  • Uphold security, compliance and best practice standards
About You
  • Strong experience administering Microsoft SQL Server in production
  • Expertise in performance tuning and optimisation
  • Solid understanding of high availability and disaster recovery
  • Experience supporting SSRS and Power BI
  • Strong troubleshooting and problem‑solving skills
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