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Senior Data Engineer, SEO, Perm, Liverpool/ Newport

Charity Commission
Bootle, GBR
Parttime, Fulltime
Onsite
£44,027
Discovered 2 weeks ago
Data engineeringData pipelinesAzure SynapseAzure Data FactoryDatabricksSQL

Full Job Posting

Role overview

Senior member of the Digital, Data and Technology function, designing and maintaining pipelines, integrations and processing services for operational systems and analytical data.

Contributes to the evolution of the data platform using sound engineering and modelling practices to keep data reusable and well governed.

Data engineering delivery

  • Design, build, test and maintain scalable pipelines and processing solutions; implement secure, efficient and maintainable Azure ingestion and integration patterns.
  • Develop data flows and transformations, including SQL logic, stored procedures and views; contribute to Azure Synapse and layered data architecture.
  • Model data for analytics and operational use in collaboration with analysts and architects.

Standards, leadership and reliability

  • Improve engineering standards, coding conventions and design patterns; mentor engineers and review code and pipelines.
  • Diagnose data issues, perform root cause analysis and implement preventative measures.
  • Monitor, optimise and troubleshoot pipelines and storage for reliable, performant and cost-effective services.

Essential criteria

  • Technical problem-solving, collaboration, clear communication and attention to data quality, accuracy and reliability.
  • Provide technical leadership through design guidance, code and pipeline reviews, and alignment with agreed standards and architecture.
  • Experience building cloud data pipelines, SQL transformations and ELT patterns; work with relational and/or big data technologies.
  • Experience with CI/CD, version control, automated testing and platform support across multiple environments including production.
  • Strong SQL and data transformation skills; proficiency with Azure tools such as ADF, Synapse, Delta Lake or Data Lake Gen2.

Additional technical criteria

  • Knowledge of ETL/ELT principles and data integration patterns; familiarity with infrastructure as code, DevOps and monitoring.
  • Python, PySpark or similar languages are desirable.

Salary and contract

  • Salary is £44,027; salary cadence is not specified.
  • Permanent contract. The advertised working pattern includes full-time, part-time and compressed hours.

Locations

  • The posting lists Bootle and Newport locations; it does not state a workplace policy.

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