Senior Data Engineer

Databricks, Inc.; City Of London; Remote; GBP 85,000 - 100,000; Full time

Benefits offered by this job

Annual bonus (10%)

Job summary

Databricks, Inc. in London is seeking a Senior Data Engineer to join the Enterprise Data function. You will lead complex data engineering work and mentor engineers while hands-on delivering high-quality solutions built on Azure and Databricks.

The role focuses on designing scalable data pipelines, building trusted datasets for analytics and AI, and contributing to the architecture and governance of the data platform, with strong emphasis on Python, PySpark, Delta Lake and SQL.

Qualifications

• Five to seven years of data engineering experience.
• Strong and current Azure Databricks experience.
• Advanced Python, PySpark and SQL skills.
• Strong knowledge of Delta Lake, Unity Catalog and data modelling.
• Experience with Azure Data Factory and Azure Data Lake Storage.
• Experience of infrastructure as code and Azure resource management.
• Strong understanding of software engineering principles, automated testing and CI/CD.
• Recent experience leading or mentoring Data Engineers.
• Ability to review and assure the quality of other engineers' work.
• Interest in architecture and broader technical responsibility.

Responsibilities

• Delivering complex data engineering work.
• Providing day-to-day technical leadership to other engineers.
• Acting as the number-two technologist within the Enterprise Data team.
• Designing and building scalable data solutions using Azure and Databricks.
• Developing batch and streaming data pipelines from databases, APIs and Kafka.
• Building trusted datasets for reporting, analytics, data science and AI.
• Working with Python, PySpark, Delta Lake, Unity Catalog and SQL.
• Developing dimensional data models using Kimball principles.
• Reviewing code, technical designs, Terraform and testing.
• Ensuring the team's engineering work meets the required quality and governance standards.
• Supporting Data Engineers with technical decisions and complex problems.
• Contributing to the architecture and wider technical direction of the data function.
• Improving CI/CD, automated testing, monitoring and platform reliability.

Skills

Python

PySpark

SQL

Data modelling

Technical leadership

Tools

Azure Databricks

Azure Data Factory

Azure Data Lake Storage

Terraform

Job description

Senior Data Engineer

Location: London

Remote: Any

Application Deadline: 2026-10-24T10:14:34.153

Job Description

London - hybrid working
£85,000-£100,000 plus 10% bonus

My client is looking for a Senior Data Engineer to join its Enterprise Data function. This is a senior, hands-on role for someone who is technically excellent but also comfortable leading other engineers and taking responsibility for the quality of the team's work. The data platform is built in Azure, with Databricks at its core. My client therefore needs someone with strong, recent Databricks experience rather than someone who has only used it briefly or several years ago.

The successful candidate will have three main responsibilities:

• Delivering complex data engineering work
• Providing day-to-day technical leadership to other engineers
• Acting as the number-two technologist within the Enterprise Data team

The role will focus on:

• Designing and building scalable data solutions using Azure and Databricks
• Developing batch and streaming data pipelines from databases, APIs and Kafka
• Building trusted datasets for reporting, analytics, data science and AI
• Working with Python, PySpark, Delta Lake, Unity Catalog and SQL
• Developing dimensional data models using Kimball principles
• Reviewing code, technical designs, Terraform and testing
• Ensuring the team's engineering work meets the required quality and governance standards
• Supporting Data Engineers with technical decisions and complex problems
• Contributing to the architecture and wider technical direction of the data function
• Improving CI/CD, automated testing, monitoring and platform reliability

Candidate Profile

This role would suit someone with:

• At least five to seven years' experience in data engineering
• Strong and current Azure Databricks experience
• Advanced Python, PySpark and SQL skills
• Strong knowledge of Delta Lake, Unity Catalog and data modelling
• Experience with Azure Data Factory and Azure Data Lake Storage
• Experience of infrastructure as code and Azure resource management
• A strong understanding of software engineering principles, automated testing and CI/CD
• Recent experience leading or mentoring Data Engineers
• The ability to review and assure the quality of other engineers' work
• An interest in architecture and the ambition to take on broader technical responsibility

This is not a traditional management role and the successful candidate will remain highly hands-on. However, they will need to be capable of leading by example, setting technical standards and helping develop the engineers around them.

Experience with Function Apps, Logic Apps, streaming technologies, Purview, Power BI or AI would be useful but is not essential.

Please note – this role cannot offer sponsorship. Please only apply if you have full UK working rights.