Erstellt am 23. Juni 2026
Data Engineer (f/m/x)
CEPRES
München, Bayern 80331, Germany
Vollzeit
Reference: 16358380
Job Description
Location: Munich, Germany
CEPRES is the leading and fastest-growing digital investment platform for private capital markets. Our global institutional client base benefits from our award-winning investment solutions, which are delivered through the CEPRES platform connecting thousands of professionals worldwide.
CEPRES is headquartered in Munich, with staff in New York, Denver, Chicago, London, Heidelberg, and Singapore. Our team is incredibly diverse with over 20 nationalities in 6 different locations globally.
As a Data Engineer at CEPRES, you will work closely with the Principal and Senior Data Engineers to build and maintain data pipelines and infrastructure. Alongside core data engineering responsibilities, you'll play a key role in evaluating and annotating AI-generated outputs related to ETL workflows and data engineering systems, helping ensure the accuracy, reliability, and scalability of our data solutions. You'll also collaborate with software engineering teams to help integrate the data layer with other platform components.
What You'll Do
Requirements
Must-Have Experience
Nice-to-Have
Our Tech Stack
Benefits
At CEPRES, we're committed to creating an inclusive environment for all. We celebrate diversity and encourage applicants from all backgrounds, experiences, and perspectives to apply.
Location: Munich, Germany
CEPRES is the leading and fastest-growing digital investment platform for private capital markets. Our global institutional client base benefits from our award-winning investment solutions, which are delivered through the CEPRES platform connecting thousands of professionals worldwide.
CEPRES is headquartered in Munich, with staff in New York, Denver, Chicago, London, Heidelberg, and Singapore. Our team is incredibly diverse with over 20 nationalities in 6 different locations globally.
As a Data Engineer at CEPRES, you will work closely with the Principal and Senior Data Engineers to build and maintain data pipelines and infrastructure. Alongside core data engineering responsibilities, you'll play a key role in evaluating and annotating AI-generated outputs related to ETL workflows and data engineering systems, helping ensure the accuracy, reliability, and scalability of our data solutions. You'll also collaborate with software engineering teams to help integrate the data layer with other platform components.
What You'll Do
- Develop,optimize, and maintain data pipelines using SQL and Python.
- Buildand evaluate AI-generated responses related to ETL/ELT workflows and dataengineering systems.
- AssessAI outputs for data accuracy, pipeline reliability, scalability, andworkflow efficiency.
- Assistin designing and implementing data systems and pipelines under theguidance of senior engineers.
- Maintainand optimize existing data structures, ensuring integration with softwareapplications.
- Documentdata processes and adhere to data governance standards.
- Supportthe data engineering backlog and contribute to best-practiceimplementation across projects.
- Participatein technical discussions and contribute ideas to improve our dataarchitecture.
- Collaboratewith software engineering teams and the Product team to ensure datasolutions meet application needs.
Requirements
Must-Have Experience
- Backgroundin Data Engineering, Computer Science, Information Systems, or relatedfields.
- 2-4years of experience in Data Engineering (mid-level).
- Hands-onexperience building data pipelines and performing data transformations inPython and Pyspark.
- Strongunderstanding of ETL/ELT processes, database systems, and data pipelinearchitecture.
- Solidknowledge of SQL (including writing efficient, optimized queries).
- Understandingdata warehousing, workflow automation, and large-scale data processingsystems.
- Familiaritywith version control (e.g., Git) and CI/CD concepts.
- Abilityto work collaboratively with engineering teams and fast-paced environment.
- Goodcommunication and collaboration skills.
- Exposureto a major cloud platform (AWS, Azure, or GCP).
- Stronganalytical, troubleshooting, and problem-solving skills with attention todetail.
Nice-to-Have
- Experiencewith Databricks.
- Experiencewith Snowflake.
- Exposureto AWS Services (Redshift, S3, Glue, Lambda).
- Familiaritywith data visualization tools (Power BI).
- Experiencewith Docker, Jenkins, Octopus, or NoSQL databases.
- Experiencewith Azure DevOps / Azure Repo.
Our Tech Stack
- Databricks
- Snowflake
- SQLServer
- AWS(Redshift, S3, Glue, Lambda)
- AzureDevOps
- AzureRepo
- PowerBI
- Docker
- Jenkins
- Octopus
Benefits
- Career Path in Private Equity Step into one of the most in-demand and exciting industries in finance today. With us, you'll experience unparalleled opportunities for career growth and promotions, receive regular feedback, and benefit from mentorship provided by an international team of passionate experts. Be part of a unique growth story and take on an exciting, challenging role in a dynamic global environment.
- Culture That Drives Success We are powered by core values that foster an entrepreneurial spirit, drive results, and empower ownership. At our company, collaboration and mutual support is at the heart of everything we do. Transparency in company goals ensures you're always part of the bigger picture.
- Commitment to Our People We care deeply about our team, offering outstanding benefits and opportunities to thrive in a diverse, inclusive, and international workplace.
- Compensation of attractive package that reflects your skills, contributions, and growth potential.
At CEPRES, we're committed to creating an inclusive environment for all. We celebrate diversity and encourage applicants from all backgrounds, experiences, and perspectives to apply.
