Senior Data Engineer

Tria; City Of London; Hybrid; GBP 65,000 - 72,000; Full time

Job summary

A leading global hospitality brand is seeking a Senior Data Engineer to design and optimize their data platform. This role is key in developing scalable data pipelines and enhancing data quality. Candidates should have over 6 years in data engineering, with deep expertise in Databricks and Azure. You'll collaborate with data scientists and analysts to turn raw data into actionable insights. Competitive salary of £65,000 - £72,000 plus a 20% bonus and excellent benefits. Hybrid working model with 2-3 days on-site in London.

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 for advanced analytics.
• Drive data quality and governance across the organization.

Skills

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 clients 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 Azure
• Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts.

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