Data Engineer - Operational Resilience (Hybrid)

LA International

Sheffield

Hybrid

GBP 19,188,000 - 20,387,000

Full time

9 days ago
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Job summary

LA International is hiring a Data Engineer for a 6‑month hybrid contract based in Sheffield. You will lead data foundations, build robust pipelines, and deliver data products aligned to standards and governance.

The role requires strong SQL, Python, and cloud tooling experience, with Agile delivery and collaboration across stakeholders. You will partner with data architects and technology teams to ensure performance, recoverability, and auditability while creating clear documentation and

Qualifications

  • End-to-end data solutions delivery experience.
  • Strong SQL knowledge and relational modelling.
  • Hands-on Cloud data tooling experience.
  • Experience with data governance and lineage management.

Responsibilities

  • Lead technical delivery of data foundations for resilience.
  • Design, build and operate data pipelines across lifecycle.
  • Build and maintain data products with data contracts.
  • Collaborate with Data Architects and Tech teams on standards.
  • Implement data quality, lineage and governance requirements.
  • Create data models to enable KPIs and reporting.
  • Contribute to platform adoption via datasets and data products.
  • Own delivery for Data Products and manage backlog.
  • Identify risks and maintain delivery status across programme.
  • Produce documentation and maintain traceability in JIRA.

Skills

SQL
Python
Data engineering
Data modelling
Stakeholder communication
Agile delivery

Tools

Google Cloud Platform
BigQuery
JIRA
Confluence
Data pipelines

Job description

LA International is hiring a Data Engineer for a 6‑month hybrid contract based in Sheffield. You will lead data foundations, build robust pipelines, and deliver data products aligned to standards and governance.

The role requires strong SQL, Python, and cloud tooling experience, with Agile delivery and collaboration across stakeholders. You will partner with data architects and technology teams to ensure performance, recoverability, and auditability while creating clear documentation and

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