Build, maintain, and optimize data ingestion pipelines connecting 100+ source systems to BigQuery
Develop custom connectors using Python and other data languages for unsupported or complex data sources
Design and maintain DAGs for orchestration, dependency management, and retry logic
Monitor data pipelines and proactively identify issues related to freshness, schema drift, failures, or data quality
Implement alerting, observability, and operational processes for the ingestion layer
Collaborate with Data Modeling and Analytics teams to align on data contracts, schema expectations, and source reliability
Manage API integrations across REST, GraphQL, and webhook-based services
Contribute to CI/CD workflows, automated testing, and deployment processes for connectors and pipelines
Document integrations, operational runbooks, and ingestion architecture standards
Support onboarding of new business data sources and help scale the overall data platform infrastructure.

2–3 years of experience in Data Engineering, DataOps, Platform Engineering, or similar roles
Strong Python skills for data pipeline and connector development
Solid SQL knowledge and understanding of cloud data warehousing concepts (preferably BigQuery)
Hands-on experience with ETL/ELT pipelines, or data ingestion frameworks
Experience with workflow orchestration tools such as Airflow, Prefect, or Dagster
Familiarity with Docker, Kubernetes, and cloud environments such as GCP, AWS or Azure
Experience integrating third-party APIs (REST, GraphQL, OAuth2, webhooks, etc.)
Understanding of monitoring, alerting, and operational ownership in production data environments
Experience with Git/GitHub, CI/CD pipelines, and code review practices
Strong ownership mindset and ability to independently troubleshoot and resolve technical issues
Excellent communication and collaboration skills when working across technical and business teams.

Epic Team-Buildings: Enjoy team-building activities, including our all-talked-about Christmas parties.
Annual Workation: Pack your laptop and join us for an epic workation that blends work and play, recharging your batteries and sparking creativity.
Invest in Your Growth: Point us to any event, course, book, or mentor that will boost your skills, and we'll take care of it. Your growth is our priority.
Birthday Treat: Enjoy a free day off on your birthday.
Exclusive Vouchers and Free BURGA Goodies: Enjoy exclusive discounts and free BURGA products
perks of being part of our team.
Health Insurance: Take care of your health and well-being by using the perk of our private health insurance (after 6 months).
Extra Days off: The longer you’re with us, the more time you get to unwind
earn an extra day of vacation for every year with us.
Pleasant Workplace Environment: Work in a joyful space with occasional Friday brunches, pet-friendly offices, and regular visits to our Kaunas and Vilnius locations.
Flexible Working Arrangements: Embrace a hybrid work model or take advantage of personal workations. Your work, your way.

Data Engineer – Data Ops

Key skills