Job details
Company
T-Systems Iberia
Location
Granada, Spain
Employment type
Full-time
Seniority
Mid level
Primary category
Data Engineering
Posted date
5 May 2026
Valid through
Job description
Project Description:
We are building a cross-company Google Cloud Platform called “Energy Cloud” as the central data hub for our digitalization efforts. The goal is to automate end-to-end business processes and enable data-driven decision-making. Our existing Google Cloud instance will be expanded by integrating further relevant data sources and establishing a modern, scalable data architecture. One workstream of the Energy Cloud project is digitizing the data and processes of our finance department, which you will be working with mostly.
Activity Description:
You will join the finance department of PASM and work closely with business owners from controlling and accounting as well as potentially a data scientist currently in the hiring process. You will furthermore receive input & sparring from the main data science team. Work will mostly be virtual with dedicated onsite sessions in Germany. You focus will be on creating a reliable, state of the art database and suitable structures and processes to translate from raw data into data products ready for further processing and visualization. Key success factors in the position are not only relevant skills, but especially the ability to acquire business and finance knowledge/terminology, build an understanding of the relevant data and understand the needs of business owners.
About PASM: PASM is the provider of sustainable energy and infrastructure solutions for all DT locations in Germany. We source energy to supply our customers with 100% green electricity, ensure reliable delivery and price stability and play a pioneering role in the green energy transformation of DT.
Role Summary
We are looking for a Senior Data Engineer with strong hands-on experience in building data pipelines and data products on Google Cloud Platform (GCP), as well as experience in SAP. This role focuses on implementation, data modeling, pipeline development, and ensuring data quality and performance, with a strong emphasis on finance data.
Responsibilities and Duties
- Collaborate with finance stakeholders to understand requirements, analyze their data, propose solutions, and implement them.
- Build and maintain scalable ETL/ELT pipelines using GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions/Run).
- Develop efficient SQL and Python-based transformations and workflows.
- Model and optimize data structures for analytics, reporting, and downstream applications.
- Implement data ingestion from APIs, files, and third-party systems.
- Ensure data quality, monitoring, testing, and documentation across the pipeline lifecycle.