Data Engineer

Remobi; España; Remote; EUR 76,000 - 124,000; Part time

Job summary

Remobi LTD. is seeking a Data Engineer to own data pipelines powering AI across finance and commercial functions from a remote Europe base. You’ll work on a Snowflake, Airflow and dbt platform, starting with a commercial forecasting use case and expanding to greenfield projects.

You will translate cost planning needs into data requirements, build SAP-based pipelines, and enable bi-directional data access for AI agents across the organization.

Qualifications

• 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. actual (preferred)
• Strong communication skills in English and comfort working independently with business stakeholders

Responsibilities

• 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

Skills

SQL

Python

dbt

Airflow

AWS

S3

CI/CD

Git

SAP data

Tools

Snowflake

Airflow

dbt

Job description

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. actual (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.