The Role
Build, optimize, and maintain data pipelines and data systems using Python and PySpark. Evaluate and annotate AI-generated ETL outputs, ensure data accuracy and scalability, integrate data solutions with software teams, document processes, follow data governance, and support backlog and best practices under senior guidance.
Summary Generated by Built In
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.
- Build
and evaluate AI-generated responses related to ETL/ELT workflows and data
engineering systems.
- Assess
AI outputs for data accuracy, pipeline reliability, scalability, and
workflow efficiency.
- Assist
in designing and implementing data systems and pipelines under the
guidance of senior engineers.
- Maintain
and optimize existing data structures, ensuring integration with software
applications.
- Document
data processes and adhere to data governance standards.
- Support
the data engineering backlog and contribute to best-practice
implementation across projects.
- Participate
in technical discussions and contribute ideas to improve our data
architecture.
- Collaborate
with software engineering teams and the Product team to ensure data
solutions meet application needs.
Requirements
Must-Have Experience
- Background
in Data Engineering, Computer Science, Information Systems, or related
fields.
- 2–4
years of experience in Data Engineering (mid-level).
- Hands-on
experience building data pipelines and performing data transformations in
Python and Pyspark.
- Strong
understanding of ETL/ELT processes, database systems, and data pipeline
architecture.
- Solid
knowledge of SQL (including writing efficient, optimized queries).
- Understanding
data warehousing, workflow automation, and large-scale data processing
systems.
- Familiarity
with version control (e.g., Git) and CI/CD concepts.
- Ability
to work collaboratively with engineering teams and fast-paced environment.
- Good
communication and collaboration skills.
- Exposure
to a major cloud platform (AWS, Azure, or GCP).
- Strong
analytical, troubleshooting, and problem-solving skills with attention to
detail.
Nice-to-Have
- Experience
with Databricks.
- Experience
with Snowflake.
- Exposure
to AWS Services (Redshift, S3, Glue, Lambda).
- Familiarity
with data visualization tools (Power BI).
- Experience
with Docker, Jenkins, Octopus, or NoSQL databases.
- Experience
with Azure DevOps / Azure Repo.
Our Tech Stack
- Databricks
- Snowflake
- SQL
Server
- AWS
(Redshift, S3, Glue, Lambda)
- Azure
DevOps
- Azure
Repo
- Power
BI
- 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.
Skills Required
- Degree or background in Data Engineering, Computer Science, Information Systems, or related field.
- 2-4 years of hands-on Data Engineering experience (mid-level).
- Hands-on experience building data pipelines and performing data transformations in Python and PySpark.
- Strong SQL skills, including writing efficient, optimized queries.
- Strong understanding of ETL/ELT processes, database systems, and pipeline architecture.
- Experience with version control (Git) and CI/CD concepts.
- Exposure to a major cloud platform (AWS, Azure, or GCP).
- Ability to work collaboratively in fast-paced engineering teams; good communication and problem-solving skills.
- Understanding of data warehousing, workflow automation, and large-scale data processing systems.
- Experience with documentation and adherence to data governance standards.
- Experience with Databricks.
- Experience with Snowflake.
- Exposure to AWS services (Redshift, S3, Glue, Lambda).
- Familiarity with Power BI (data visualization).
- Experience with Docker, Jenkins, Octopus, or NoSQL databases.
- Experience with Azure DevOps / Azure Repo.
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
CEPRES is a leading platform for private market data and analytics, driving digital transformation for private market investment teams by providing real-time and predictive analytics.
