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Senior Data Engineer

Tria

Greater London

Hybrid

GBP 65,000 - 72,000

Full time

Yesterday
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Job summary

A leading global hospitality brand is seeking an experienced Senior Data Engineer to design and optimize their data platform in London. This role will involve building scalable data pipelines and enhancing data quality. The ideal candidate has over 6 years of experience in data engineering, strong expertise in Databricks, and a solid understanding of Azure. This position offers a competitive salary and excellent benefits combined with a hybrid work model, with 2-3 days on-site in Greater London.

Benefits

20% Bonus
Excellent Benefits

Qualifications

  • 6+ years of experience in data engineering.
  • 3+ years of hands‑on experience with Databricks.
  • Strong working knowledge of Azure.
  • Strong knowledge of data modeling, ETL / ELT design, and data lakehouse concepts.

Responsibilities

  • Design, build, and optimize the client’s data platform.
  • Develop scalable data pipelines and enable advanced analytics.
  • Drive data quality and governance across the organization.

Skills

Data engineering
Databricks
Azure
Data modeling
ETL / ELT design
Data lakehouse concepts
Job description
Senior Data Engineer

London 2-3 days on-site

£65,000 - £72,000 + 20% Bonus + Excellent Benefits

Our client is a leading global hospitality brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world‑class data platform to power decision‑making across every area of the business - from supply chain and logistics to marketing, customer sales and in‑store operations.

We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, build, and optimize the client’s data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and driving data quality and governance across the organisation.

You'll work closely with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions.

Required Qualifications
  • 6+ years of experience in data engineering
  • 3+ years of hands‑on experience with Databricks
  • Strong working knowledge of Azure
  • Strong knowledge of data modeling, ETL / ELT design, and data lakehouse concepts.

To apply for this role please email across your CV ASAP.

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