Data Engineer GCP & SAP (mfd)

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.

Qualifications :

Senior Data Engineer (GCP)

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.

Key Responsibilities

• 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.

Required Skills & Experience

• 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).
• Experience with workflow orchestration tools (e.g. Cloud Composer/Airflow).
• Ability to write clean maintainable production-grade code.
• Familiarity with CI/CD version control and testing best practices for data pipelines.

Nice-to-Have

• Familiarity with BI tools or data product concepts.
• Basic solution design or architecture knowledge ability to contribute to designs when needed.
• Experience with dbt.
• Experience with streaming pipelines (Pub/Sub Dataflow).

Additional Information :

What do we offer you  

Work environment & flexibility  

• International dynamic and collaborative environment   
• T-Social: social initiatives (sports community health ...)  
• Hybrid work model (remote/on-site)   
• Flexible working hours   

Growth & development  

• Customized training: access to Coursera to learn whatever you want whenever you want  
• Weekly language classes (English & German)   
• International Mentoring Sessions & Experience Days  

Compensation & benefits  

• Flexible compensation plan (health insurance meal vouchers childcare transport)   
• Telemedicine  
• Life and accident insurance   
• Social fund   

Wellbeing & time off  

• 26 working days of vacation per year   
• Free access to specialist services (medical legal wellness)   
• 100% salary coverage during medical leave  

And many more advantages of being part of T-Systems!

If you are looking for a new challenge do not hesitate to send us your CV. Join our team!

T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.

Remote Work :

No

Employment Type :

Full-time