Data engineer

EPAM; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

26 оплачиваемых дней отпуска

Пенсионная программа

Страхование по инвалидности WGA/WIA

ESPP (акции EPAM)

Job summary

EPAM ищет старшего инженера по данным для амстердамского офиса с гибридным форматом работы. Вы будете проектировать и внедрять масштабируемые дата-конвейеры, модели и инфраструктуру для аналитических решений, направленных на увеличение бизнес-ценности.

Требуется глубокий технический уровень: ELT, Data Modeling, Data Integration и опыт в Cloud (AWS/Azure/SAP) плюс навыки лидерства и менторства. Участие в CoE/CoP приветствуется.

Qualifications

• Требуется не менее 8 лет опыта в data engineering или смежных ролях.
• Знание экосистем AWS/Azure/SAP на уровне эксперта.
• Умение проектировать data-модели и конвейеры ETL/ELT.
• Опыт работы с инструментами GitHub, DevOps и CI/CD.

Responsibilities

• Проектирование и построение масштабируемых data-решений и пайплайнов для корпоративных платформ.
• Разработка моделей данных, управление ETL/ELT процессами, обеспечение качества и соответствия.
• Сотрудничество с бизнес-стейкхолдерами для внедрения data-driven подходов.
• Внедрение эффективных рабочих процессов ingestion и интеграции в облачных средах.
• Ведение проектов в рамках CoE и CoP, наставничество младших инженеров.

Skills

Data engineering

ELT/ETL

Data modeling

Data integration

Leadership

Communication

Cloud platforms

Education

Bachelor’s degree in Computer Science/Data Engineering

Tools

Data Factory

Databricks

SQL/DB

Synapse

Airflow

Kinesis

Glue

Redshift

GitHub / DevOps

Job description

Описание

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

Задачи

• 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
• Drive adoption of data foundation initiatives and best engineering practices
• Coordinate change, incident, and problem management processes
• Mentor and guide junior data engineers on solution design and technical practices
• Present data insights, architecture reports, and recommendations to key stakeholders
• Ensure implementation efficiency and consistent project delivery standards
• Contribute to internal communities, including Centers of Excellence (CoE) and Communities of Practice (CoP)

Требования

• 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
• Skilled in data manipulation, processing, and orchestration frameworks
• Hands-on experience with Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, and PyTest
• Proficiency with GitHub, GitHub Actions, and Azure DevOps
• Strong communication and collaboration skills to align technical and business stakeholders
• Proven ability to lead solution delivery and enhance team performance
• Strong analytical decision-making and governance capabilities
• Bachelor’s degree in Computer Science, Data Engineering, or a related discipline
• Будет плюсом: Experience managing agile or scrum teams; Exposure to BPC or other enterprise planning tools; Experience working within external technical ecosystems and vendor environments; Familiarity with MKDocs documentation tools; Experience in commodity trading and supply operations, ideally within the energy sector

Условия

• 26 paid holiday days
• Pension plan scheme
• Disability insurance (WGA Shortfall insurance)
• Long-term disability insurance (WIA Top up insurance)
• EPAM Employee Stock Purchase Plan (ESPP)
• Commuting to work - costs reimbursement
• Laptop + corporate simcard + corporate mobile device (subject to certain eligibility requirements)
• Bike lease
• Employee Assistance Program
• Corporate Programs including Employee Referral Program with rewards
• Learning and development opportunities including in-house training and coaching, professional certifications, and courses