Senior Data Engineer

EPAM Systems; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

ESPP

Private medical insurance

Pension plan

Life assurance

Dental care

Employee Assistance Program

Job summary

EPAM Systems in London seeks a Senior Data Engineer to design and implement scalable data pipelines across enterprise platforms. You will model data, manage ETL/ELT processes, and ensure data quality and compliance while collaborating with stakeholders to drive data-driven decisions.

You will work across cloud environments, leverage tools like Data Factory, Databricks, and Synapse, and mentor junior engineers to uphold engineering best practices.

Qualifications

• 8+ years of professional experience in data engineering or related roles.
• Bachelor’s degree in Computer Science, Data Engineering or a related discipline.
• Experience in commodity trading and energy sector applications is a plus.
• Strong proficiency in ELT, data modeling and data integration.
• Hands-on experience with cloud data ecosystems (AWS/Azure) and data tooling listed in requirements.

Responsibilities

• Design and build scalable data solutions and pipelines for enterprise data platforms.
• Develop data models, manage ETL/ELT processes and ensure data quality and compliance.
• Collaborate with stakeholders to embed data-driven thinking across business functions.
• Implement efficient data ingestion and integration workflows across cloud environments.
• Coordinate change, incident and problem management processes and mentor junior data engineers.
• Present data insights and architecture reports to key stakeholders.
• Contribute to internal communities, including CoE and CoP.

Skills

Data engineering

AWS

Azure

ELT

Data modeling

Data integration

ETL/ELT

Data governance

Stakeholder collaboration

Mentoring

Education

Bachelor's degree in Computer Science or related

Tools

Data Factory

Databricks

SQL DB

Synapse

Stream Analytics

Glue

Airflow

Kinesis

Redshift

GitHub

GitHub Actions

Azure DevOps

PyTest

SonarQube

Job description

What makes a number trustworthy enough to drive decisions that matter? The Senior Data Engineer role in London sits at the intersection of enterprise data platforms and the energy sector, where the stakes for accuracy and compliance are high. Data foundations are only as strong as the standards behind them, and every process must hold up under scrutiny. In this role, you shape how data is governed and interpreted across business functions. The person in this position decides what reliable data means for everyone downstream.ResponsibilitiesDesign and build scalable data solutions and pipelines for enterprise data platformsDevelop data models, manage ETL/ELT processes and ensure data quality and complianceCollaborate with stakeholders to embed data-driven thinking across business functionsImplement efficient data ingestion and integration workflows across cloud environmentsDrive adoption of data foundation initiatives and best engineering practicesCoordinate change, incident and problem management processesMentor and guide junior data engineers on solution design and technical practicesPresent data insights, architecture reports and recommendations to key stakeholdersEnsure implementation efficiency and consistent project delivery standardsContribute to internal communities, including Centers of Excellence (CoE) and Communities of Practice (CoP)Requirements8+ years of professional experience in data engineering or related rolesMaster-level expertise in AWS or Azure data ecosystemsStrong proficiency in ELT, data modeling and data integrationSkilled in data manipulation, processing and orchestration frameworksHands-on experience with Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube and PyTestProficiency with GitHub, GitHub Actions and Azure DevOpsStrong communication and collaboration skills to align technical and business stakeholdersProven ability to lead solution delivery and enhance team performanceBachelor’s degree in Computer Science, Data Engineering or a related disciplineExperience in commodity trading and supply operations, ideally within the energy sectorNice to haveExperience managing agile or scrum teamsExposure to BPC or other enterprise planning toolsExperience working within external technical ecosystems and vendor environmentsFamiliarity with MKDocs documentation toolsWe offerEPAM Employee Stock Purchase Plan (ESPP)Protection benefits including life assurance, income protection and critical illness coverPrivate medical insurance and dental careEmployee Assistance ProgramCompetitive group pension planCyclescheme, Techscheme and season ticket loansVarious perks such as free Wednesday lunch in-office, on-site massages and regular social eventsLearning and development opportunities including in-house training and coaching, professional certifications, and coursesIf otherwise eligible, participation in the discretionary annual bonus programIf otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program