Senior/Lead Data Engineer (PySpark, AWS)

EPAM
City of London
5 months ago
Applications closed

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We are looking for a Senior Data Engineer with expertise in Python and Spark to contribute to building state-of-the-art data platforms on AWS. As part of this role, you'll be integral to designing, implementing and optimizing ETL workflows for our robust Lakehouse architecture in a hybrid and collaborative work environment.

Ideal candidates will have strong technical expertise, a proactive mindset for solving complex challenges and the ability to collaborate effectively in an agile team. This role also provides an opportunity for experienced Data Engineers to step into a leadership role while continuing hands-on work with cutting-edge technologies.

RESPONSIBILITIES
  • Design, develop and maintain scalable ETL workflows and data pipelines using Python and Spark on AWS
  • Implement data solutions leveraging AWS services such as EMR, AWS Glue, AWS Lambda, Athena, API Gateway and AWS Step Functions
  • Collaborate with architects, product owners and team members to break down data engineering solutions into Epics and User Stories
  • Lead the migration of existing data workflows to the Lakehouse architecture employing Iceberg capabilities
  • Ensure reliability, performance and scalability across complex and high-volume data pipelines
  • Create clear and concise documentation for solutions and development processes
  • Mentor junior engineers and contribute to team development through knowledge sharing, technical leadership and coaching
  • Communicate technical concepts effectively to both technical and business stakeholders
REQUIREMENTS
  • Significant experience as a Senior Data Engineer designing and implementing robust data solutions
  • Expertise in Python, PySpark and Spark, with a solid focus on ETL workflows and data processing practices
  • Hands-on experience with AWS data services such as EMR, AWS Glue, AWS Lambda, Athena, API Gateway and AWS Step Functions
  • Demonstrable knowledge of Lakehouse architecture and related data services (e.g., Apache Iceberg)
  • Proven experience in data modeling for data platforms and preparing datasets for analytics
  • Deep technical understanding of data engineering best practices and AWS data services
  • Skilled in decomposing technical solutions into Epics/Stories to streamline development in an agile environment
  • Strong background in code reviews, QA practices, testing automation and data validation workflows
  • Ability to lead and mentor team members while contributing to technical strategy and execution
  • A Bachelors degree in a relevant field or certifications (e.g., AWS Certified Solutions Architect, Certified Data Analytics)
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


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