Lead Data Software Engineer (EPAM SISTEMOS, UAB)
Darbdavys: EPAM SISTEMOS, UAB
Miestas: Kaunas
Paskelbta: 2026-10-15
💶 4800 - 6700 €/mėn. Prieš mokesčius · visa darbo diena · nuotolinis darbas: hibridinis · paskelbta 2026-10-01
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Job description:
We are seeking an open-minded Lead Data Software Engineer to drive the development and maintenance of our data-driven architecture.
In this role, you will work on developing pipelines to build business-related data products and designing cloud-based platform solutions to support DataHub functionality.
If you’re passionate about shaping the future of data engineering and thrive in an environment where innovation and collaboration are key, we invite you to join us.
_This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas._
Design and implement data pipelines
Perform data ingestion processes to integrate existing data sources into the new platform
Participate in platform engineering, including cloud-based solutions to support the architecture, such as ingestion frameworks, platform orchestrators and exploratory environments
Conduct MLOps activities to build production-ready cloud-based solutions to support existing ML pipelines
Take part in the design of on-premises to cloud migration activities
Requirements:
Strong experience in Java, Python or Scala
Proficiency in SQL
Understanding of common Big Data challenges (splitability, massive parallel processing, load-balancing, data locality, streaming, etc.) and relevant technologies (Apache Spark, Kafka, NoSQL databases)
Familiarity with data modeling concepts such as relational/dimensional data, SCD and snowflaking
Hands-on experience with any major cloud provider: Azure, AWS or GCP
B2 English level, both verbal and written
Company offers:
Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more
We are seeking an open-minded Lead Data Software Engineer to drive the development and maintenance of our data-driven architecture.
In this role, you will work on developing pipelines to build business-related data products and designing cloud-based platform solutions to support DataHub functionality.
If you’re passionate about shaping the future of data engineering and thrive in an environment where innovation and collaboration are key, we invite you to join us.
_This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas._
Design and implement data pipelines
Perform data ingestion processes to integrate existing data sources into the new platform
Participate in platform engineering, including cloud-based solutions to support the architecture, such as ingestion frameworks, platform orchestrators and exploratory environments
Conduct MLOps activities to build production-ready cloud-based solutions to support existing ML pipelines
Take part in the design of on-premises to cloud migration activities
Requirements:
Strong experience in Java, Python or Scala
Proficiency in SQL
Understanding of common Big Data challenges (splitability, massive parallel processing, load-balancing, data locality, streaming, etc.) and relevant technologies (Apache Spark, Kafka, NoSQL databases)
Familiarity with data modeling concepts such as relational/dimensional data, SCD and snowflaking
Hands-on experience with any major cloud provider: Azure, AWS or GCP
B2 English level, both verbal and written
Company offers:
Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more