Senior Data Engineer

Databricks, Inc.; Greater London; Hybrid; GBP 85,000 - 100,000; Full time

Benefits offered by this job

10% Bonus

Job summary

Databricks, Inc. in London (hybrid) is seeking a Senior Data Engineer to lead complex data initiatives within the Enterprise Data function. The role centers on Azure Databricks, Python, PySpark and SQL, delivering scalable data solutions and trusted datasets for analytics and AI.

You will provide day-to-day technical leadership, review designs and mentor other engineers, while driving best practices in CI/CD, testing and platform reliability.

Qualifications

• 5+ years of data engineering experience.
• Strong Azure Databricks experience.
• Advanced Python, PySpark and SQL skills.
• Knowledge of Delta Lake and Unity Catalog.
• Experience with Azure Data Factory and Azure Data Lake Storage.
• Infrastructure as code with Azure resources (Terraform).
• Solid software engineering practices: automated testing and CI/CD.
• Experience mentoring data engineers and leading teams.

Responsibilities

• Deliver complex data engineering work.
• Provide day-to-day technical leadership to other engineers.
• Act as the number-two technologist in the Enterprise Data team.
• Design and build scalable data solutions using Azure and Databricks.
• Develop batch and streaming data pipelines from databases, APIs and Kafka.
• Build trusted datasets for reporting, analytics and AI.
• Review code and technical designs; ensure quality and governance.

Skills

Azure Databricks

Python

PySpark

SQL

Delta Lake

Unity Catalog

Data Modelling

Azure Data Factory

Azure Data Lake Storage

Terraform

CI/CD

Automated Testing

Leadership

Tools

Databricks

Terraform

Azure Data Factory

Job description

Senior Data Engineer

Location: London - hybrid working

Salary: £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

The 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

Experience with Function Apps, Logic Apps, streaming technologies, Purview, Power BI or AI would be useful but does not have to be included.

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