Data Engineer: End-to-End Pipelines & Data Solutions

Solera Corporation

Leeds

On-site

GBP 60,000 - 90,000

Full time

14 days+

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Job summary

Solera is seeking a Data Engineer to design, build, and maintain scalable data pipelines and data products that support analytics and operational decision-making across the organisation. You will work across diverse data sources and platforms to deliver production-ready solutions, collaborating with BI, analysts, and architects to meet business requirements and SLAs.

The role emphasizes reliability, scalability, and continuous improvement, with a strong focus on governance, data quality, and

Qualifications

  • End-to-end data pipelines design and delivery experience.
  • Strong SQL and Python coding skills with scalable design.
  • Ability to collaborate across BI, analytics, and engineering teams.

Responsibilities

  • Design, build, and operate end-to-end ETL/ELT pipelines across ingestion, transformation, and serving layers.
  • Architect scalable, reusable data pipelines balancing performance, cost, and reliability.
  • Implement incremental loads, schema evolution, and data contracts for stability.
  • Monitor pipelines with logging, validation, alerting, and incident response.
  • Collaborate with BI, analysts, and architects to meet datasets, SLAs and reporting needs.
  • Lead complex incident investigations, root-cause analysis, remediation and prevention.
  • Review and improve code, pipelines, and models for quality and reuse.
  • Translate requirements into technical designs with SLAs and acceptance criteria.
  • Mentor junior engineers and contribute to standards, patterns, and best practices across the team.

Skills

ETL/ELT pipelines
SQL / Python
Data Modeling
Data Governance
Architecture & Scalability
Security & Governance
Communication

Job description

Solera is seeking a Data Engineer to design, build, and maintain scalable data pipelines and data products that support analytics and operational decision-making across the organisation. You will work across diverse data sources and platforms to deliver production-ready solutions, collaborating with BI, analysts, and architects to meet business requirements and SLAs.

The role emphasizes reliability, scalability, and continuous improvement, with a strong focus on governance, data quality, and

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