- Company: Get A Job.ai
- Location: Germany
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
We are representing a confidential fintech organization seeking a Data Engineer to join their team in Germany. Our client is transforming payment technology through cloud-based solutions and requires a skilled professional to translate business requirements into robust technical architectures on AWS.
Responsibilities
- Translate business requirements into technical specifications for AWS-based data architecture
- Work with AWS technologies including Aurora, Oracle, Athena, Glue, and QuickSight
- Manage and optimize Data Warehouses and Data Lakes
- Design, configure, and administer data architecture in compliance with PCI, GDPR, and CCPA standards
- Document data flows and implement data models within business applications
- Ensure cloud data management meets CIA (Confidentiality, Integrity, Availability) standards
- Redesign data models to maintain regulatory compliance
- Develop and manage a structured data access model
What We're Looking For
- Strong expertise in SQL, DML, and DDL
- Excellent communication skills at both business and technical levels
- Deep knowledge of AWS Cloud Data technologies
- Proficiency in streaming platforms such as Kafka or AWS Kinesis for real-time data processing
- Experience with big data frameworks like Apache Spark or Hadoop
- Familiarity with infrastructure-as-code tools such as Terraform or AWS CloudFormation
- Solid knowledge of Python and Java
- Strong data modeling and design skills
- Proficiency in AWS database services
- Good understanding of data classification, encryption, and privacy requirements
How We Work With You
Candidates apply through Get A Job.ai, where our talent team will review your qualifications and conduct an initial screening. If you're a strong match, we'll submit your profile to our client for consideration. Please do not contact the client directly, as all communication flows through our recruiting team to ensure a professional and confidential process.
Pay
Compensation details will be discussed during the screening process with our recruiting team.
Equal Opportunity
Get A Job.ai is committed to providing equal employment opportunities to all applicants regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Local insights for this role are preparing — this section updates automatically in a few seconds (or refresh).
Listing facts
- Role Data Engineer
- Employer Get A Job.ai
- Location Germany
- Type Full Time
- Pay (from listing) Pay not listed
- Posted August 31, 2026
- Apply by September 30, 2026
- Country Germany
- Overview Full job description on this page (316 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Typical work in Data Engineer
Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.
- Develop and document database architectures.
- Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
- Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.
- Design databases to support business applications, ensuring system scalability, security, performance, and reliability.
- Develop data models for applications, metadata tables, views or related database structures.
- Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
Limited public data for this employer
We only show facts we can ground in public sources (Wikidata, O*NET, news/discussion links, or this listing). We do not invent Glassdoor-style ratings, salaries, or testimonials when data is thin. Use the listing facts, occupation context, and related openings below while we continue researching.
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Occupation family: Data Engineer
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