GFT Technologies SE

Senior Data Platform Engineer

PythonSQLAWSGCPGo
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About the opportunity

GFT Technologies is a responsible, AI-driven global digital transformation company. We design advanced solutions for data and AI transformation, modernize technology infrastructures, and develop next-generation core systems for leading banks, insurance companies, and industrial and robotics firms. Working closely with our clients, we push boundaries to unlock their full potential.

Let’s Go Beyond!

In our Data Center of Excellence, we shape the data foundation for our clients' AI transformation. You will take on a leading technical role in transformation projects, with a focus on regulated industries, particularly financial services.

To achieve this, you will combine strategic governance design with operational implementation, ensuring that data platforms are not only high-performing but also regulatory compliant, auditable, and AI-ready.

We are committed to growing together with you to become even better! Our motivated team looks forward to welcoming you and your experience as a Senior Data Platform Engineer (m/f/d)!

Diversity makes us stronger. That is why we create a work environment at GFT where everyone feels welcome, respected, and valued. What counts for us are your personality, your talents, and your ideas – regardless of gender, origin, religion, age, disability, or sexual identity.

Your Responsibilities

  1. You design and implement scalable data platforms in cloud environments (Azure, AWS, or GCP).
  1. You develop modern ELT/ETL and streaming pipelines for batch and near-real-time processing.
  1. You implement lakehouse architectures using open storage and table formats.
  1. You model data structures according to Data Vault 2.0 or Kimball, depending on the business and architectural context.
  1. You build consumption-ready data products for analytics, reporting, and AI use cases.
  1. You prepare data for Machine-Learning use cases (including feature engineering logic), without training the ML models yourself.
  1. You ensure data quality, performance, and cost optimization in the cloud.
  1. You implement orchestration, automation, and CI/CD processes for stable, production-ready platforms.
  1. You work closely with data architects, governance teams, and data scientists.
  1. You take on technical responsibility within specific implementation projects.

What You Bring

  1. At least 3–5 years of experience in building modern data platforms
  1. Solid knowledge of at least one cloud platform (Azure, AWS, or GCP)
  1. Very good SQL skills as well as experience with Python (or comparable)
  1. Experience with streaming technologies (e.g., Kafka, Pub/Sub, Kinesis, or comparable)
  1. Practical experience in data modeling according to Data Vault 2.0 and/or Kimball
  1. Understanding of modern lakehouse architectures and open storage formats
  1. Experience with orchestration and automation of data pipelines
  1. Know-how in performance and cost optimization in cloud environments
  1. Experience working with analytics and data science teams
  1. Very good German and English language skills.

What We Offer

  • Flexible working hours: To optimally balance family and career, you can structure your workday according to your individual needs. Furthermore, benefit from individual models, workation, and sabbaticals.
  • Home office: Whether from the office or another location – mobile working is part of our everyday life.
  • Mindset: Open door, team spirit, and flat hierarchies are not just buzzwords at #teamGFT, but lived practice.
  • 12.000 talents worldwide: Benefit from global exchange with experts from over 20 countries in your field.
  • Training & certifications: Participate in further education, conferences, and certifications. We cater to your individual needs.
  • Location-based extras: Benefit from additional perks such as a company bike program, company pension scheme, and much more.
  • Latest technologies: By working with internationally leading corporations and utilizing interdisciplinary teams, we stay at the cutting edge and constantly engage with the latest methods and technologies.

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