Senior Data Engineer

EPAM Systems; Amsterdam; Hybrid; EUR 110,000 - 150,000; Full time

Benefits offered by this job

26 paid holiday days

Pension plan scheme

Disability insurance

Stock Purchase Plan (ESPP)

Commuting to work - costs reimbursed

Laptop + corporate simcard

Job summary

EPAM Systems in Amsterdam, NL, is hiring a Senior Data Engineer to design and optimize end-to-end data foundations and analytics solutions in a hybrid setup.

You will lead data model development, ETL/ELT processes, and data quality while collaborating with stakeholders to translate data strategy into actionable outcomes. Mentoring teammates and driving best practices are core responsibilities.

Qualifications

• 8+ years of professional experience in data engineering or related roles.
• Master-level expertise in AWS, Azure, or SAP data ecosystems.
• Strong proficiency in ELT, data modeling, and data integration.
• Hands-on with data ingestion, processing, and orchestration frameworks.
• Proven ability to lead solution delivery and mentor junior engineers.

Responsibilities

• Design and build scalable data solutions and pipelines for enterprise platforms.
• Develop data models, manage ETL/ELT processes, and ensure data quality.
• Collaborate with stakeholders to embed data-driven thinking across business units.
• Coordinate change, incident, and problem management processes.
• Mentor junior data engineers and drive engineering best practices.

Skills

ELT

Data Modeling

Data Integration

Cloud ecosystems (AWS/Azure/SAP)

Data Orchestration

Education

Bachelor’s degree in Computer Science or Data Engineering

Tools

Data Factory

Databricks

SQL DB

Synapse

Airflow

Kinesis

Redshift

GitHub Actions

Azure DevOps

Job description

We're looking for a Senior Data Engineer to join our team in Amsterdam, the Netherlands, in a hybrid working mode. In this role, you will design, build, and optimize end-to-end data foundations and analytical solutions to enable data-driven decision-making and increase business value. Acting as a subject matter expert, you will be responsible for implementing modern data engineering practices, driving technical excellence, and mentoring junior team members. This position requires both deep technical knowledge and the ability to collaborate effectively with business stakeholders to translate data strategy into actionable outcomes.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, Azure, or SAP 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 performanceStrong analytical decision-making and governance capabilitiesBachelor’s degree in Computer Science, Data Engineering, or a related disciplineNice 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 toolsExperience in commodity trading and supply operations, ideally within the energy sectorWe offer26 paid holiday daysPension plan schemeDisability insurance (WGA Shortfall insurance)Long-term disability insurance (WIA Top up insurance)EPAM Employee Stock Purchase Plan (ESPP)Commuting to work - costs reimbursementLaptop + corporate simcard + corporate mobile device (subject to certain eligibility requirements)Bike leaseEmployee Assistance ProgramCorporate Programs including Employee Referral Program with rewardsLearning and development opportunities including in-house training and coaching, professional certifications, and courses