Senior Data Engineer with SAP BW and Snowflake

Technology stack SAP BW (BW/4HANA), SAP extraction (Open Hub, ODP, SLT, CDS views), third-party SAP connectors (Theobald, SNP Glue, Fivetran SAP or similar), Snowflake, dbt, SQL, Python, Snowflake Cortex, Streamlit, semantic models, data modeling, data quality, CI/CD Project overview The project supports a large international consumer goods company that is scaling its Snowflake-based data platform. Selected datasets are moved from SAP BW into Snowflake one business case at a time. They feed data products for sales and distribution, retail and market analytics, and e-commerce.

The platform is already critical to the business: hundreds of business users work every day with AI-powered analytics built on Snowflake Cortex and Streamlit. Team Medium team (10-20 people) You will join a distributed data engineering team: an Engineering Manager, internal data engineers and about 9 external contractors, based in the US and South America. Engineers are organized by data product.

You will work closely with the client's Lead Data Architect and business stakeholders across domains. Position overview We are looking for a very senior hands-on Data Engineer with strong SAP BW and Snowflake experience who has led engineering teams. About 70% of the engineering work is extracting data from SAP BW and integrating it into Snowflake.

You will work side by side with a recently appointed Engineering Manager who comes from a non-engineering background, helping them build engineering leadership skills