Senior Data Engineer - Hybrid (London) | Lakehouse & Cloud

Talent

Greater London

Hybrid

GBP 90,000 - 120,000

Full time

43 hours ago
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Job summary

Talent, a global consulting practice, is seeking a Senior Data Engineer to join a flagship enterprise transformation programme in Central London. You will design and deliver robust, scalable data foundations and end-to-end data solutions, acting as SME and technical anchor across teams and stakeholders.

You will translate strategic data visions into production-ready platforms while driving data-driven thinking, governance, and CI/CD improvements, mentoring engineers and aligning with CoEs across

Qualifications

  • Extensive experience designing end-to-end data pipelines and lakehouse architectures.
  • Experience leading data engineering teams and mentoring juniors.
  • Strong stakeholder engagement with technical and business leads.
  • Proficient in CI/CD, testing, and code quality controls.
  • Familiarity with CoE and CoP practices in enterprise settings.

Responsibilities

  • Design and deliver scalable end-to-end data pipelines and lakehouse architectures.
  • Provide technical leadership and mentoring across data disciplines.
  • Translate data strategy into IT deliverables for technical and executive stakeholders.
  • Coordinate governance, incident response, and CI/CD improvements.
  • Champion best practices across Centers of Excellence and Communities of Practice.

Skills

Cloud Architecture
Data Modelling
ETL/ELT
Leadership
Stakeholder Communication

Tools

Databricks
Azure Data Factory
Synapse
Airflow
GitHub Actions
Azure DevOps
PyTest
SonarQube

Job description

Talent, a global consulting practice, is seeking a Senior Data Engineer to join a flagship enterprise transformation programme in Central London. You will design and deliver robust, scalable data foundations and end-to-end data solutions, acting as SME and technical anchor across teams and stakeholders.

You will translate strategic data visions into production-ready platforms while driving data-driven thinking, governance, and CI/CD improvements, mentoring engineers and aligning with CoEs across

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