Data Engineer/Data Ops

From a 7m² flat with just one printer in 2015 to a global powerhouse with 4+ million customers, 12+ million products sold, and revenue of over $147 million in 2025 - BURGA is not your average brand. Our products have been spotted with some of the world’s biggest celebrities, like Taylor Swift, Cara Delevingne, Lucy Hale, Alexis Ren, and many more.

We're on a mission to turn ordinary into extraordinary by transforming everyday items into style statement accessories. To keep up with our growth, we’re building a 10-million-euro manufacturing facility in Kaunas, set to produce 40,000 items daily. 

With unicorn ambitions and 500+ passionate humans on a mission to conquer the world, you’re joining a team that’s rewriting the rules.

Curious about our day-to-day life? Take a peek on Instagram @burgainsider

- 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.

You’re just one click away from starting your dream career at BURGA!