Data Science Architect

At T-Systems, you will find groundbreaking projects that contribute to social and ecological well-being. It doesn't matter when or where you work. It's about doing work that matters to move society forward. For this reason, we will do everything possible to ensure that you have every opportunity to develop by offering you a support network, excellent technology, a new work environment and the freedom to work independently. We develop hybrid cloud and artificial intelligence solutions and drive the digital transformation of companies, industry, the public sector and, ultimately, society as a whole. 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. 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. Senior Data Engineer (GCP)

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

. 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. Strong hands-on experience with

GCP

(BigQuery, Cloud Storage, Dataflow, Pub/Sub). Expert

SQL

skills and solid

Python

development experience. Deep understanding of

ETL/ELT concepts

, data modeling, and pipeline orchestration. Experience with common

SAP modules and data structures

. Knowledge of

Infrastructure-as-Code

(Terraform). Cloud Composer/Airflow ). Familiarity with

CI/CD

, version control, and testing best practices for data pipelines. Familiarity with

BI tools

or data product concepts. Hybrid work model (teleworking/on-site). ~ Continuous training: Preparation for certifications, access to Coursera, weekly English and German classes... ~ Flexible compensation plan: health insurance, meal vouchers, childcare, transport assistance... ~ Social fund. ~