Senior/Lead Data Engineer (Databricks, PySpark)

EPAM; City Of London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading technology firm in London is seeking experienced Senior/Lead Data Engineers to join their expanding team. The role involves developing and maintaining data solutions using PySpark and Databricks, collaborating with various teams, and contributing to best practices. Ideal candidates will have a Bachelor's or Master's degree in a relevant field and strong coding experience. A competitive benefits package is offered, including medical insurance and stock purchase plans.

Benefits

Employee Stock Purchase Plan (ESPP)

Private medical insurance

Dental care

Learning and development opportunities

Qualifications

• Strong experience in data engineering with recent hands-on coding.
• Expertise in building high-performance, distributed data pipelines using PySpark.
• Strong problem-solving, communication, and client-facing collaboration skills.

Responsibilities

• Design, develop and maintain scalable data pipelines and ETL processes.
• Work closely with data architects, data scientists, and business analysts.
• Implement data quality, reliability, and performance improvements.

Skills

Data engineering

Hands-on coding

Expertise in PySpark

Expertise in Databricks

Cloud platforms (Azure preferred)

SQL

CI/CD

Git

Problem-solving

Communication

Education

Bachelor's or Master's Degree in Computer Science, Engineering, Mathematics, or related fields

Tools

Azure

Job description

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.

EPAM is seeking multiple Senior/Lead Data Engineers with expertise with Databricks and PySpark to join our growing team in London. As part of our expansion into several large client accounts, we are looking for current hands-on coding professionals who are passionate about data engineering and eager to solve complex problems at scale. In this role, you will collaborate with diverse teams to build, optimise and maintain robust data and analytics solutions.

The role requires 3-4 days working on client site in central London.

Applicants must have the right to work in the UK, as we are unable to offer visa sponsorship for this role.

RESPONSIBILITIES

• Design, develop and maintain scalable data pipelines and ETL processes using PySpark and Databricks
• Work closely with data architects, data scientists and business analysts to transform requirements into technical solutions
• Implement data quality, reliability and performance improvements across large, complex datasets
• Collaborate with DevOps and Cloud teams to deploy and optimise data solutions in Azure (or other cloud platforms)
• Troubleshoot, optimise and refactor existing pipelines for performance and scalability
• Contribute to best practices, coding standards and technical documentation
• Mentor junior engineers and lead technical discussions within client and internal teams

REQUIREMENTS

• Bachelor's or Master's Degree in Computer Science, Engineering, Mathematics or related fields or relevant work experience
• Strong experience in data engineering, with recent hands-on coding as a core part of your daily role
• Expertise in PySpark for building high-performance, distributed data pipelines
• Expertise in Databricks for large-scale data engineering and analytics workloads
• Strong experience with cloud platforms (Azure preferred)
• Solid understanding of SQL and relational database concepts
• Experience with CI/CD, Git and modern DevOps practices for data solutions
• Strong problem-solving, communication and client-facing collaboration skills
• Exposure to machine learning or data science workflows is a plus but not required

WE OFFER

• EPAM Employee Stock Purchase Plan (ESPP)
• Protection benefits including life assurance, income protection and critical illness cover
• Private medical insurance and dental care
• Employee Assistance Program
• Competitive group pension plan
• Cyclescheme, Techscheme and season ticket loans
• Various perks such as free Wednesday lunch in-office, on-site massages and regular social events
• Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
• If otherwise eligible, participation in the discretionary annual bonus program
• If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program
• *All benefits and perks are subject to certain eligibility requirements