6 months ago
Vilnius, LithuaniaMid Level
Responsibilities
- Build, maintain, and optimize data ingestion pipelines connecting more than 100 source systems to BigQuery.
- Develop custom connectors using Python and other data languages for complex or unsupported sources.
- Design and maintain DAGs for orchestration, dependency management, and retry logic.
- Monitor pipelines and address freshness, schema drift, failures, and data quality issues.
- Implement alerting, observability, and operational processes for the ingestion layer.
- Collaborate with Data Modeling and Analytics teams on data contracts, schema expectations, and source reliability.
- Manage REST, GraphQL, and webhook-based API integrations.
- Contribute to automated testing, deployment processes, and CI/CD workflows for connectors and pipelines.
- Document integrations, runbooks, and ingestion architecture standards.
- Support onboarding of new business data sources and scaling of the data platform infrastructure.
Requirements
- 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 Airflow, Prefect, Dagster, or similar workflow orchestration tools.
- Familiarity with Docker, Kubernetes, and cloud environments such as GCP, AWS, or Azure.
- Experience integrating third-party APIs using REST, GraphQL, OAuth2, and webhooks.
- Understanding of monitoring, alerting, and operational ownership in production data environments.
- Experience with Git, GitHub, CI/CD pipelines, and code review practices.
- Ability to independently troubleshoot and resolve technical issues, with strong communication and collaboration skills.
Benefits
- €650 annual learning and development budget for courses, conferences, books, certifications, coaching, or team training.
- Team-building activities, including Christmas parties, and an annual workation.
- A paid day off for the employee’s birthday.
- Exclusive vouchers, discounts, and free BURGA products.
- Private health insurance after six months.
- An additional vacation day for each year of employment.
- Hybrid work arrangements and personal workation options.
- Pet-friendly offices, occasional Friday team brunches, and regular visits to Kaunas and Vilnius locations.
Tech Stack
Categories
Data Engineering
About BURGA
BURGA designs and sells fashion-forward tech accessories and eyewear, including phone cases, laptop and tablet covers, AirPods cases, and related gear, primarily via direct-to-consumer e‑commerce. Founded in 2015 and headquartered in Vilnius County, Lithuania, the privately held company serves a global customer base. Its products target style-conscious consumers looking to personalize and protect their devices and accessories.