Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Stuttgart
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you design and implement scalable data platforms in cloud environments, develop efficient ELT/ETL pipelines, and ensure data quality and cost optimization while collaborating closely with data architects and data scientists.
Job Technologies
Your role in the team
- You design and implement scalable data platforms in cloud environments (Azure, AWS, or GCP).
- You develop modern ELT/ETL and streaming pipelines for batch and near-real-time processing.
- You implement Lakehouse architectures using open storage and table formats.
- You model data structures according to Data Vault 2.0 or Kimball, depending on the business and architectural context.
- You develop ready-to-consume data products for analytics, reporting, and AI use cases.
- You prepare data for machine learning use cases (including feature engineering logic) without training ML models yourself.
- You ensure data quality, performance, and cost optimization in the cloud.
- You implement orchestration, automation, and CI/CD processes for stable, production-ready platforms.
- You work closely with Data Architects, Governance Teams, and Data Scientists.
- You assume technical responsibility within specific implementation projects.
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Our expectations of you
Qualifications
- Solid knowledge of at least one cloud platform (Azure, AWS, or GCP)
- Practical experience in data modeling according to Data Vault 2.0 and/or Kimball.
- Understanding modern Lakehouse architectures and open storage formats
- Expertise in performance and cost optimization in cloud environments
- Very good knowledge of German and English.
Experience
- At least 3-5 years of experience in building modern data platforms.
- Excellent SQL skills and experience with Python (or comparable).
- Experience with streaming technologies (e.g., Kafka, Pub/Sub, Kinesis, or comparable)
- Experience with orchestration and automation of data pipelines
- Experience in collaborating with Analytics and Data Science teams
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What we offer
- Flexible working hours: To optimally balance family and work, you can structure your workday according to your individual needs.
- Additionally, benefit from personalized models, workation, and sabbaticals.
- Home office: Whether from the office or another location - mobile working is part of our daily routine.
- Mindset: Open door, team spirit, and flat hierarchies are not just buzzwords at #teamGFT, but a lived practice.
- 000 talents worldwide: Benefit from global exchange with experts from over 20 countries in your field.
- Further Education & Certifications: Participate in training courses, conferences, and certifications. We tailor to your individual needs.
- Location-based extras: Benefit from additional perks such as Job Rad, company pension scheme, and much more.
- Latest Technologies: By working with internationally leading corporations and utilizing interdisciplinary teams, we stay at the forefront of the industry and continuously engage with the latest methods and technologies.
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Benefits
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GFT Technologies AG
GFT Technologies SE is a first-class information technology service provider for the financial and industrial sectors. We offer our clients tailor-made IT solutions that help them compete in an increasingly complex environment. In doing so, we rely on innovation and creativity to stay one step ahead of our clients.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Banking, Finance, Insurance, Internet, IT, Telecommunication
Senior Data Platform Engineer
- Location
- Stuttgart
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
