• Assist in designing, building, and maintaining ETL/ELT data pipelines • Support data ingestion from internal and external data sources • Help maintain and improve data warehouse structures and data models • Ensure data quality through validation, testing, and monitoring processes • Support analytics and BI use cases by preparing clean, well-documented datasets • Collaborate with senior engineers and stakeholders to understand data requirements • Contribute to documentation and continuous improvement of the data platform • Follow software engineering best practices including version control, testing, and CI/CD

• You will build the SAP consulting team in Lithuania, focusing on data migration and transformation architecture in SAP S/4HANA programs for major industrial and manufacturing customers. • You are responsible for designing, governing, and executing SAP data strategy and migration architecture, ensuring data quality, consistency, and integrity across multiple business domains. • You advise customers on implication of structural transformation in the respecting process analyses and data areas as well as on data migration architecture, data models, tools, and methodologies — bridging functional and technical perspectives. • You manage end-to-end data migration activities, from scoping and extraction to transformation, validation, and load into S/4HANA systems. • You collaborate closely with functional consultants, business stakeholders, and technical teams to ensure a smooth and reliable transition from legacy systems to S/4HANA. • You will be seamlessly embedded in the SAP DACH organization with 4 competence centers and their experienced and collaborative consultants. • You will report to the team Lead for SAP Lithuania, which belongs functionally to the portfolio “SAP Transformation” and work in close alignment with the SAP consulting organization.

• Analyze and interpret complex data Ability to identify data anomalies and resolve data issues. • Understand specific business processes and domain concepts and relate them to data subject domains. • Optimize SQL queries, scripts, and stored procedures in Snowflake and SQL Server to improve efficiency and reduce processing time. • Integrate and manage data from various sources, ensuring data quality, reliability, and performance • Design, develop, and maintain scalable and high-performance ETL pipelines using Matillion ETL to ingest, transform, and load data into Snowflake. • Monitor data pipeline and ETL performance, identifying bottlenecks and making necessary adjustments to ensure optimal system performance. • Perform troubleshooting and root cause analysis to resolve data issues and prevent future occurrences. • Develop and implement data models within Snowflake to support business intelligence and analytics requirements. • Collaborate with Data Leads, Product Managers and QA Engineers to validate requirements, participate in user requirement sessions. • Perform tests and validate data flows and prepare ETL processes according to business requirements. • Perform ETL tuning and SQL tuning. • Ability to document data flows representing business logic in ETL routines. • Design and implement data conversion strategy from legacy to new platforms. • Perform design validation, reconciliation, and error handling in data load processes. • Design and prepare technical specifications and guidelines including ER diagrams and related documents.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Senior Data Engineer will be responsible for designing and implementing data solutions that support the organization’s goals. - Develop and maintain data pipelines and ETL processes - Collaborate with cross-functional teams to understand data needs - Ensure data quality and integrity - Optimize data storage and retrieval processes - Provide technical guidance and mentorship to junior engineers Qualifications - Bachelor's degree in Computer Science, Engineering, or related field - 5+ years of experience in data engineering or related field - Strong programming skills in Python, Java, or Scala - Experience with SQL and NoSQL databases - Familiarity with data warehousing solutions Requirements - Proficiency in data modeling and database design - Experience with cloud platforms such as AWS or Azure - Strong analytical and problem-solving skills - Ability to work independently and in a team environment Benefits - Comprehensive health insurance - 401(k) with company match - Flexible work hours and telecommuting options - Opportunities for professional development and growth