Hybrid Senior Data Engineer

Posted last month

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About the role

  • Architect, build, test, and deploy robust, scalable customer data pipelines
  • Own end-to-end lifecycle of customer data from ingestion to activation-ready datasets
  • Take technical ownership of customer data integration within data platform (AWS/SQL Server)
  • Collaborate with CRM, data engineers, analysts, and marketing to deliver data solutions
  • Design data structures and transformations to enable marketing measurement and activation
  • Monitor and optimise pipeline performance, reliability, and cost-efficiency
  • Set standards and promote data engineering best practices
  • Translate business requirements related to customer data into technical implementations

Requirements

  • Proven experience designing, building, and maintaining complex production data pipelines
  • Experience with CRM systems (Salesforce, Dynamics 365, HubSpot)
  • Expert-level SQL and proficiency in ETL/ELT principles
  • Experience with SQL Server and SSIS (current stack)
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP) and core data services (S3, Redshift, Lambda/Functions, Glue)
  • Deep understanding of data modelling techniques and ELT/ETL patterns
  • Ability to translate complex business requirements into technical data solutions
  • Excellent communication and collaboration skills
  • Bonus: Familiarity with Tableau, Power BI, Looker
  • Bonus: Experience with orchestration tools (Airflow, dbt)
  • Bonus: Experience with Agile/Scrum and Big Data technologies

Benefits

  • Hybrid working model (Portsmouth/London)
  • Diverse, flexible, rewarding environment
  • Social calendar and regular educational trips
  • Social committee and community giving initiatives
  • Employee-focused culture with opportunities for development

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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