Banking, Insurance & Financial Services
Freelance · ExpertHybrid
Senior Data Engineer – dbt & AWS Redshift (m/f/d)
Key facts
- Start
- 12/2026
- Duration
- 13 months
- Work mode
- Hybrid
- Location
- Berlin
- Workload
- 100 %
- Contract type
- Freelance · Expert
Project description
We are looking for a Senior Data Engineer to further develop a modern financial data platform. The focus is on building and refining data models and transformation pipelines in a cloud-based analytics environment. We are seeking an experienced freelancer who can provide both conceptual and hands-on support for architecture, implementation, and quality assurance.
Responsibilities
- Consulting on the initial setup of a company-wide dbt standard, including cross-team conventions, repository structure, and development guidelines
- Design and implementation of high-performance data pipelines and transformations using dbt-core based on business requirements
- Development and maintenance of dbt models, macros, tests, and technical documentation for a sustainable and maintainable analytics platform
- Optimization of relational data models and SQL-based transformations for analytical workloads on a cloud data warehouse, particularly AWS Redshift
- Defining and implementing best practices for materializations, modularization, reusability, and the use of appropriate dbt packages
- Conducting code reviews and ensuring development quality through testing, versioning, and traceable documentation
- Supporting the design of production-ready development and operations models in close coordination with internal stakeholders and development teams
- Participating in agile delivery processes such as planning, daily stand-ups, reviews, and retrospectives to ensure structured implementation of the development roadmap
Requirements
Must-have
These criteria are required for the project.
- Several years of experience as a data engineer in building complex dbt-core projects
- Excellent SQL skills in analytical database environments and relational data modeling
- Practical experience using AWS Redshift in production analytics or data warehouse setups
- Experience developing dbt models, macros, tests, and technical documentation
- German language proficiency at least at the B2 level
- Certification in dbt Analytics Engineering or equivalent proof of qualification
- Experience with Airflow or Dagster for orchestrating data pipelines
- Knowledge of modern development principles such as CI/CD, automated testing, code reviews, and Git-based collaboration
- Experience in agile project environments, e.g., Scrum or SAFe (with certification)
Skills
- dbt-core
- AWS Redshift
- SQL
- Datenmodellierung
- Relationale Datenbanken
- Airflow
- Dagster
- Analytics Engineering
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