- Company: Get A Job.ai
- Location: Berlin, Berlin
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
Responsibilities
We are representing a confidential construction-technology organization based in Berlin that is building the future of sustainable residential development. Our client's Data Platform team is responsible for their internal data infrastructure, working across digital planning, automation, sustainability analytics, AI, IoT, and operational domains to solve complex challenges in the building lifecycle—from design through construction to operations.
As a Senior Data Engineer, you will:
- Design, build, and maintain core data platform components including ingestion frameworks, transformation pipelines, and data storage layers
- Own and improve data reliability through monitoring, alerting, SLAs, and data quality checks
- Collaborate with domain experts and software engineers to understand data needs and deliver high-quality datasets
- Lead strategic initiatives to modernize or scale the data ecosystem, including query optimization, schema design, and analytics capabilities
- Mentor and guide team members to elevate engineering rigor and technical capability across the organization
What We're Looking For
Required technical experience with a stack similar to:
- Programming languages: Python or Kotlin
- Databases: Postgres, BigQuery, Spark, Graph databases
- Tools: Kubernetes, Docker, Terraform, Dagster, DBT
- Cloud storage platforms
Core competencies:
- Strong problem-solving and analytical skills with the ability to break down complex tasks, work with stakeholders, adapt to dynamic input, and lead implementation projects
- Experience identifying and resolving data discrepancies and inconsistencies, plus creating validation and testing frameworks for prevention and handling
- Proven experience building, operating, and scaling data-intensive reactive processing pipelines end-to-end, including ingestion, storage, orchestration, transformation, enrichment, and analytics
Bonus experience (optional but valued):
- Knowledge of semantic web technologies like RDF and OWL
- Experience with ontology engineering and knowledge engineering, including tools such as Protege
- Experience working with construction industry data or other complex, large-scale datasets
- Background in data science, machine learning, or AI agents
How We Work With You
Get A Job.ai partners with innovative organizations to connect exceptional talent with transformative roles. When you apply through our platform at getajob.ai, a member of our recruiting team will screen your profile and discuss the opportunity in detail. If there's a strong match, we will submit your candidacy to our client for consideration. Please do not contact the employer directly—all communication should flow through Get A Job.ai to ensure a smooth and professional process.
Pay
Compensation details will be discussed during the screening process with our recruiting team.
Get A Job.ai is an equal opportunity recruiter. We celebrate diversity and are committed to creating an inclusive environment for all candidates.
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 Senior Data Engineer (f/m/d)
- Employer Get A Job.ai
- Location Berlin, Berlin
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 10, 2026
- Apply by October 10, 2026
- Country Germany
- Overview Full job description on this page (404 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.
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Occupation family: Data Engineer
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