Become part of our "Winning Culture" and work on award-winning projects in high-end technological settingCorporate Social Responsibility and Inclusion standards are very important to us and go far beyond the usual - especially in the current political climate!We offer a company own learning platform! Our goal is to help you realize your individual potential!
"Wellbeing & Employee Assistance Program": Your (mental) health is important to us and is treated confidentially by a neutral party!
Solid qualification-, performance- & competence-based remuneration model, attractive pension scheme and various allowances
Bonus/referral/incentive/recognition programs - we want you to feel appreciated at Unisys!
Extended health insurance coverage(premium package) as well for private usage after 3-month probation period
hybrid work model (3 days onsite/2 days flexible) and great camaraderie, whilst working with Lithuania and global top talent
Free parking lots and a bike garage for storage
Salary: full-time monthly of 4.300 - 6.300 € based on your competencies and skills plus a company bonus
#LI-LO1
Health insurance
Flexible schedule
Performance bonus
Parental leave
Additional Information
What success looks like in this role:
Design, build, and maintain scalable ETL/ELT data pipelines.
Develop and manage data models, data lakes, and data warehouses.
Ensure data reliability, integrity, and performance across systems.
Implement best practices for data governance, security, and compliance through strong architecture and design principles.
Optimize data processing using distributed frameworks such as Spark.
Work with cloud platforms such as Azure, Databricks and to a smaller extent AWS or GCP to build scalable data infrastructure.
Collaborate with developers, architects and stakeholders to align business requirements and deliver clean and accessible datasets.
Monitor, troubleshoot, and improve existing data workflows.
Stay up-to-date with emerging technologies, tools, and best practices in both application development and data engineering.
You will be successful in this role if you have:
At least 5+ years of experience in data engineering or related roles
Strong proficiency in programming languages commonly used in data processing and application development including Python(must have) and good understanding of Scala or Java
Hands-on experience with both SQL (must have) and NoSQL databases, ensuring efficient data modeling, storage and transformation.
Hands-on experience with Spark as main distributed data processing frameworks
Familiarity with cloud platforms especially Azure (preferred against AWS & GCP) and deploying scalable applications
Experience with data warehouses (Snowflake, Redshift, BigQuery, etc.) and data lake technologies (S3, Delta Lake, Iceberg, etc.)
Experience building pipelines using tools such as Airflow, Apache NiFi or Prefect
Experience with Databricks is a plus, experience with data built tools is a must
Strong problem-solving, communication and leadership skills with the ability to drive technical decisions
Experience with CI/CD pipelines for data workflows using tools such as Jenkins, GitHub Actions, GitLab CI/CD or Azure DevOps is an advantage.
Ability to work independently and collaboratively in an agile, fast-paced, high-impact environment.
Unisys · Vilnius, Lithuania