Senior Data Warehouse Engineer

Cell

Oxford, United Kingdom
Base: not specified; bonus/equity: not specified; ...
Data warehousing concepts (e.g., kimball)
Designing, developing, and enhancing data warehouses
Etl tools and processes (e.g., dbt, astronomer/apache airflow, aws glue)
This role will be responsible for designing and developing the STMJ data warehouse and building new data pipelines

Job Summary

  • This role will be responsible for designing and developing the STMJ data warehouse and building new data pipelines.
  • Collaborate with cross-functional partners—including product owners, analysts, data scientists, and architects—to translate business needs into scalable data solutions.
  • We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Matching Summary

This role will be responsible for designing and developing the STMJ data warehouse and building new data pipelines.

Salary

Base: Not specified; Bonus/Equity: Not specified; Benefits: Comprehensive Pension Plan; Home, office, or commuting allowance; Generous vacation entitlement and option for sabbatical leave; Maternity, Paternity, Adoption, and Family Care leave; Flexible working hours; Personal Choice budget; Internal communities and networks; Various employee discounts; Recruitment introduction reward; Employee Assistance Program (global)

Skills & Requirements

Must-have

  • Data warehousing concepts (e.g., Kimball)
  • Designing, developing, and enhancing data warehouses
  • ETL tools and processes (e.g., DBT, Astronomer/Apache Airflow, AWS Glue)
  • Complex SQL for data extraction and transformation
  • Creating dimensional data models
  • Cloud technologies and modern ETL tools

Nice-to-have

  • Strong partnerships and vendor relationships
  • Agile environments and tools like Jira, Confluence
  • Python programming experience
  • Terraform experience
  • Release management and CI/CD pipelines
  • AWS services familiarity

Key Requirements

  • Good years of experience in data warehousing, ETL, and SQL
  • Degree in Engineering, Computer Science, or equivalent practical experience
  • Clear and effective communication skills
  • Ability to understand and discuss technical concepts
  • Strong organizational and time management skills
  • Broad understanding of software development methodologies
  • Ability to build strong working relationships
  • Strong analytical and critical thinking skills
  • Experience working in Agile environments

Work Rights

Not specified

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