{"id":61123,"url":"https://alion.io/job/burga-data-engineer","title":"Data Engineer","company":{"id":456039,"name":"BURGA","domain":"burga.com","url":"https://alion.io/company/burga-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":87,"open_postings":3,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":70,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Vilnius, Lithuania"],"countries":["LT"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":3800,"max":5000,"currency":"EUR","period":"month","gross":true,"usd_annual":67356},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Google BigQuery","optional":false},{"name":"GraphQL","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-05-12T12:22:07Z","employer_posted_date":"2026-05-12","last_verified_at":"2026-10-31T10:02:30Z","board_verified":true,"closed_at":null,"days_open":172,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":171},"description":"ABOUT THE POSITION\n\nData Engineer at is a key role in building and scaling the foundation of our modern data platform. You’ll take ownership of the entire data ingestion layer - ensuring that data from 100+ business systems is reliably replicated, monitored, and available for analytics and decision-making across the company.\nYour Role:You’ll design, develop, and operate scalable data ingestion pipelines, build custom connectors, ensure reliability and observability across the platform, and collaborate closely with Data Modeling and Analytics teams to provide high-quality, trustworthy data for downstream use cases.\nWHAT YOU’LL DO\n- Build, maintain, and optimize data ingestion pipelines connecting 100+ source systems to BigQuery\n- Develop custom connectors using Python and other data languages for unsupported or complex data sources\n- Design and maintain DAGs for orchestration, dependency management, and retry logic\n- Monitor data pipelines and proactively identify issues related to freshness, schema drift, failures, or data quality\n- Implement alerting, observability, and operational processes for the ingestion layer\n- Collaborate with Data Modeling and Analytics teams to align on data contracts, schema expectations, and source reliability\n- Manage API integrations across REST, GraphQL, and webhook-based services\n- Contribute to CI/CD workflows, automated testing, and deployment processes for connectors and pipelines\n- Document integrations, operational runbooks, and ingestion architecture standards\n- Support onboarding of new business data sources and help scale the overall data platform infrastructure\nWHAT WE’RE LOOKING FOR\n- 2-3 years of experience in Data Engineering, DataOps, Platform Engineering, or similar roles\n- Strong Python skills for data pipeline and connector development\n- Solid SQL knowledge and understanding of cloud data warehousing concepts (preferably BigQuery)\n- Hands-on experience with ETL/ELT pipelines, or data ingestion frameworks\n- Experience with workflow orchestration tools such as Airflow, Prefect, or Dagster\n- Familiarity with Docker, Kubernetes, and cloud environments such as GCP, AWS or Azure\n- Experience integrating third-party APIs (REST, GraphQL, OAuth2, webhooks, etc.)\n- Understanding of monitoring, alerting, and operational ownership in production data environments\n- Experience with Git/GitHub, CI/CD pipelines, and code review practices\n- Strong ownership mindset and ability to independently troubleshoot and resolve technical issues\n- Excellent communication and collaboration skills when working across technical and business teams\nSALARY: 3800 - 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