Senior Data Engineer

Data Freelance Hub; Greater London; Hybrid; GBP 65,000 - 72,000; Full time

Job summary

A reputable data consultancy is seeking a Senior Data Engineer in London, offering a contract of over 6 months with a salary between £65,000 and £72,000 plus a 20% bonus. The ideal candidate will have over 6 years in data engineering, including 3 years of experience with Databricks. Responsibilities include designing and optimizing data platforms, developing data pipelines, and ensuring data governance. This role includes on-site work 2–3 days a week in London and presents an opportunity to contribute to a world-class data platform for a leading global hospitality brand.

Benefits

20% bonus

Excellent benefits

Qualifications

• 6+ years of professional experience in data engineering.
• 3+ years of hands-on experience with Databricks.
• Strong working knowledge of Azure.

Responsibilities

• Design, build and optimise the client’s data platform on Databricks.
• Develop scalable data pipelines to support advanced analytics.
• Ensure data quality and governance across the organisation.
• Collaborate with data scientists, analysts and business stakeholders.

Skills

Data engineering

Databricks

Azure

Job description

⭐ - Featured Role | Apply direct with Data Freelance Hub

Senior Data Engineer – London. 6+ years in data engineering, 3+ years with Databricks. Contract > 6 months; pay: £65,000–£72,000 + 20% bonus, plus excellent benefits. 2–3 days on site (London).

Our client is a leading global hospitality brand investing heavily in data and technology, building a world‑class data platform to drive decisions across the business – from supply‑chain and logistics to marketing, sales and in‑store operations.

Responsibilities

• Design, build and optimise the client’s data platform on Databricks.
• Develop scalable data pipelines to support advanced analytics.
• Ensure data quality and governance across the organisation.
• Collaborate with data scientists, analysts and business stakeholders to transform raw data into trusted, actionable insights.

Required Qualifications

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

To apply, email your CV ASAP.

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