Remobi | Remote (Europe) | B2B/Freelance/Contract | Until September 2027 initially, high chance of extension
We are Remobi - we help businesses scale and innovate through high-performing, remote nearshore tech teams.
Role Description We’re hiring a Data Engineer to join a global energy technology leader, owning the data pipelines that power AI across its finance and commercial functions.
The first use case, a commercial forecasting agent, is already live with more business areas waiting to onboard and two greenfield use cases to follow. You’ll work standalone alongside the product lead and AI engineers on an existing Snowflake, Airflow and dbt platform.
What You’ll Do Turn cost planning and forecasting needs into clear data requirements
Build pipelines per business area from SAP finance tables and files (MS Project, Primavera, contract PDFs)
Make source-to-target mapping configurable so new SAP systems and business units onboard via a mapping




Migrate pipelines to the company’s central data platform
Add data quality tests, SAP reconciliation, lineage and monitoring
Expose curated data to the AI agents
What We’re Looking For 5+ years of data engineering experience, with strong SQL and Python
Production experience with dbt (models, tests, snapshots, incremental loads) and Airflow
Metadata-driven data modelling across multiple source systems
Data quality and observability experience, plus AWS (S3, IAM, EKS basics) and Git-based CI/CD
SAP PS/FI/CO data such as WBS elements, cost postings and plan vs. vigente (preferred)
Strong communication skills in English and comfort working independently with business stakeholders
Why This Role You’ll own the data foundation that lets AI scale across a global business, with every new business area depending on the pipelines you build.
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📌 Data Engineer (Sevilla)
🏢 Remobi
📍 Sevilla