SAP Data Engineer (Freelancer)
mactores
If you want to build real systems that ship to production, this is a straightforward move. Mactores helps large enterprises migrate their data and applications to AWS, and they move fast—weeks instead of quarters. You'll own the SAP data pipeline that makes those migrations work.
Your job: design and build the layer that pulls data from SAP HANA into S3 cleanly and incrementally, then construct the load path that gets curated data back into the warehouse for business users. You'll be the SAP expert on customer calls, the engineer your team relies on when raw SAP tables need to become trustworthy datasets. You'll work alongside a PySpark engineer who handles transformation—you own the extraction side.
This fits you if you understand SAP systems, have solid SQL fundamentals, and know your way around cloud infrastructure. Experience with ETL pipelines, data warehousing, or cloud platforms strengthens your case. You don't need a decade of experience—early-career engineers who ship code belong here.
Ready to apply. Head to CareerJumpship, search this role, and submit your resume and a note about your SAP or data pipeline work.
About this role
Mactores is the agent-native AWS modernization firm. We help large companies move their data, applications, and AI workloads to AWS, and we use agents to do it in weeks, where the rest of the industry still takes quarters or years. Most modernization projects stall before they reach production. Ours don't. Our engineers ship real systems running in production, legacy retired, and outcomes you can point to. The way we work is built around that outcome from day one. Agents handle the repetitive work so engineers can focus on the judgment calls. As our SAP Data Engineer, you'll own the SAP side of a modern data pipeline for enterprise customers running SAP on AWS. You'll design and ship the extraction layer that lifts data out of SAP HANA into S3 cleanly and incrementally, and you'll build the BW / BW4HANA load path that takes curated data back into the warehouse for business users to query. You'll work alongside a PySpark engineer who owns the transformation layer on EMR, meeting them at the S3 boundary. You'll be the SAP voice on customer calls, and the person engineering counts on when raw SAP tables need to become datasets a business analyst can trust.