BURGA
IT
DataEngineer/DataOps
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer/Data Ops at BURGA. Skills: Data Engineering, DataOps, Python, SQL, BigQuery, ETL/ELT pipelines, workflow orchestration, cloud environments. 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”
What You'll Achieve.
ensuring that data from 100+ business systems is reliably replicated, monitored, and available for analytics and decision-making across the company; provide high-quality, trustworthy data for downstream use cases
Industry & Context.
ability to independently troubleshoot and resolve technical issues
What They're Looking For.
Must Have
2–3 years of experience in Data Engineering, DataOps, Platform Engineering, or similar roles, 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, ownership mindset and ability to independently troubleshoot and resolve technical issues, Excellent communication and collaboration skills when working across technical and business teams
Nice to Have
Kubernetes a plus
What You'll Do.
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
Monitor data pipelines and proactively identify issues related to freshness
and operational processes for the ingestion layer
Collaborate with Data Modeling and Analytics teams to align on data contracts
and source reliability
Manage API integrations across REST
and webhook-based services
Contribute to CI/CD workflows
and deployment processes for connectors and pipelines
Document integrations
and ingestion architecture standards
Support onboarding of new business data sources and help scale the overall data platform infrastructure
How You'll Work.
Team & Collaboration
Collaborate with Data Modeling and Analytics teams to align on data contracts, schema expectations, and source reliability; Excellent communication and collaboration skills when working across technical and business teams
Communication Scope
Excellent communication and collaboration skills when working across technical and business teams
Full Job Description
## Description ABOUT BURGAFrom a 7m² flat with just one printer in 2015 to a global powerhouse with 3+ million customers, 10+ million products sold, and revenue of over 130 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 @burgainsiderABOUT THE POSITIONData Engineer / DataOps 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. Your 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. WHAT YOU’LL DO - 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 Mo
Applying for this Data Engineer/Data Ops role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Lever
- Lever uses a streamlined one-page form — apply in under 5 minutes.
- LinkedIn import works well; review parsed data before submitting.
- The cover letter field is optional but visible to reviewers — use it to differentiate.
- Referral codes from employees can significantly boost visibility of your application.
ANONYMOUS · UNFILTERED
What do employees actually say about BURGA?
Real rants from real employees. Read before you apply.