The Role
As a Data Engineer at CEPRES, you will develop and maintain data pipelines, collaborate with software teams, and optimize data models, ensuring data integrity and accessibility.
Summary Generated by Built In
Location: Istanbul, Turkey
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
- 3+ years of experience in Data Engineering
- Proven experience in Databricks (3+ years)
- 2-3 years of experience with Snowflake
- Strong knowledge of SQL
- Experience with AWS Services (1-2 years)
- Experience or strong knowledge of AWS/ Azure DevOps
- Familiar with data visualization tools (Power BI)
- Bachelor's degree in a related technical field
- Optional experience with Docker, Jenkins, NoSQL databases
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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.
