Data Engineer

• Proactively monitor and support the Production Data Warehouse environment daily to guarantee seamless stability and uninterrupted operations.
• Drive the successful execution and punctual completion of all End-of-Day (EOD) and End-of-Month (EOM) processes.
• Expertly troubleshoot and resolve challenges related to ETL jobs, data loading, and performance issues to keep systems running optimally.
• Collaborate closely with development, infrastructure, and business teams to ensure smooth workflows and swift incident resolutions.
• Create and maintain comprehensive documentation, including operational procedures, runbooks, and support guides, to empower the team and streamline processes.

Data Warehouse Support Specialist

• Build the SAP consulting team in Lithuania
• Design and implement SAP S/4HANA solutions mainly for the manufacturing and Automotive industry
• Act as solution architect in SAP S/4HANA implementations (greenfield or conversions)
• Identify operational gaps and develop solution options using best practice methods while considering customer application landscapes
• Partial or full project leadership in all phases of the SAP project life cycle
• Communicate with different stakeholders regarding innovative IT strategies
• Take on the professional leadership of functional streams
• Create holistic architectures considering business processes as part of transformation projects on SAP S/4HANA
• Responsible for the selection, development, and guidance of the SAP Data & Technology team in Lithuania
• Build and maintain the team with regards to capacity, seniority, and skills
• Guide and develop team members in their professional career.
• Responsible for the utilization and delivery excellence of the team
• Collaborate and report to the team Lead for SAP Lithuania

Senior SAP Enterprise Architect, SAP Data Migration Experience

• 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.

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Data Warehouse Support Specialist

Senior SAP Enterprise Architect, SAP Data Migration Experience

Data Engineer – Data Ops