Data Engineer

Talent; Greater London; Híbrido; GBP 90.000 - 120.000; Jornada completa

Descripción de la vacante

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

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Cloud Architecture

Data Modelling

ETL/ELT

Leadership

Stakeholder Communication

Herramientas

Databricks

Azure Data Factory

Synapse

Airflow

GitHub Actions

Azure DevOps

PyTest

SonarQube

Descripción del empleo

• Location: Central London - Hybrid (3 days on-site, 2 days remote)
• Contract Length: 6 Months (with potential extension)
• Rate: Inside IR35

About the role

A global consulting practice is seeking an experienced, high-calibre Senior Data Engineer to join a flagship enterprise transformation programme.

In this role, you will act as a subject matter expert and technical anchor, designing and delivering robust, scalable data foundations and end-to-end data solutions. Operating at the intersection of technical architecture and commercial value, you will translate strategic data visions into production-ready platforms while fostering data-driven thinking across multidisciplinary teams and business stakeholders.

Key Responsibilities

• Solution Architecture & Delivery: Design, build, and optimize scalable, end-to-end data pipelines and modern lakehouse architectures to support critical business initiatives.
• Technical Leadership & Mentorship: Serve as an SME across core data disciplines, providing hands-on leadership, establishing engineering standards, and mentoring junior engineers.
• Stakeholder Engagement: Translate complex data strategy into tangible IT deliverables, communicating effectively with both deep-technical squads and executive business leads.
• Governance & Reliability: Coordinate change management, problem resolution, and incident response across critical pipelines, driving continuous improvement through CI/CD, rigorous testing, and code quality controls.
• Community & Practice: Champion best practices across internal Centers of Excellence (CoE) and Communities of Practice (CoP).

Key Skills & Experience

• Cloud Platforms: Advanced, production-level expertise across major cloud ecosystems (Azure, AWS, or enterprise enterprise data environments like SAP).
• Data Engineering Core: Mastery in modern ELT patterns, complex data modelling (dimensional, semantic, or lakehouse frameworks), and large-scale data ingestion and transformation.
• Pipeline & Analytics Tooling: Hands-on experience with modern data stacks such as Databricks, Azure Data Factory / Synapse, AWS Glue / Redshift, or Airflow / Stream Analytics.
• Engineering Best Practices: Proven track record applying software craftsmanship principles to data pipelines, including automated CI/CD (GitHub Actions, Azure DevOps), unit testing (PyTest), and automated code analysis (SonarQube).
• Consulting Mindset: Excellent communication, cross-functional collaboration, and the ability to navigate complex, fast-paced enterprise environments.
• Exposure to large-scale, complex trading, commodities, energy, supply chain, or planning/finance data domains.
• Experience leading or acting as a technical lead/Scrum Master within Agile delivery squads.
• Hands-on knowledge of modern technical documentation tooling (e.g., MkDocs).