Data Engineer (f/m/x)

Cepres GmbH

Fatih

On-site

TRY 60,000 - 80,000

Full time

14 days+

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Job summary

Cepres GmbH is looking for a Data Engineer to enhance data pipelines and infrastructure. This role involves collaboration with software engineering teams and requires a strong background in Databricks and Snowflake.

The ideal candidate has over 3 years of experience in Data Engineering and is proficient in SQL and AWS services. We value diversity and encourage applicants from all backgrounds to apply.

Qualifications

  • 3+ years of experience in Data Engineering.
  • Proven experience in Databricks.
  • 2-3 years of experience with Snowflake.
  • Strong knowledge of SQL including performance tuning.
  • Solid hands-on experience with AWS Services.
  • Experience with AWS/Azure DevOps.
  • Familiar with data visualization tools in Power BI.
  • Strong problem-solving skills and attention to detail.

Responsibilities

  • Design, develop, and optimize data pipelines and architectures.
  • Maintain and optimize existing data models for high performance.
  • Collaborate with software engineering teams for data solutions.
  • Document data processes and adhere to data governance standards.
  • Support implementation of CI/CD pipelines using Azure DevOps.

Skills

Databricks
Snowflake
SQL
AWS Services
Power BI
Collaboration
Problem-solving

Education

Bachelor’s degree in a related technical field

Tools

AWS (Redshift, S3, Glue, Lambda)
Docker
Jenkins

Job description

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 support the Principal Data Engineer in the development and maintenance of data pipelines and infrastructure. You will contribute to building scalable solutions and manage daily operational data tasks to ensure the integrity and accessibility of data across the organization. Your role also demands active collaboration with the software engineering teams to effectively implement and integrate the data layer with other platform components.

  • Design, develop, and optimize robust, scalable data pipelines and architectures using Databricks, Snowflake, and SQL.
  • Maintain, monitor, and optimize existing data models and data structures to ensure high performance, data integrity, and seamless integration with software applications.
  • Collaborate extensively with software engineering teams to ensure data solutions align with application and business needs.
  • Document data processes, workflows, and models, while adhering to data governance standards and facilitating effective data usage by software teams.
  • Support the implementation and maintenance of CI/CD pipelines using Azure DevOps and, optionally, Jenkins and Docker for workflow automation and containerization.
  • Continuously enhance your technical and industry knowledge through proactive learning and research.
Requirements
  • 3+ years of experience in Data Engineering.
  • Proven experience (3+ years) in Databricks.
  • 2-3 years of experience with Snowflake.
  • Strong knowledge of SQL (including performance tuning, query optimization).
  • Solid hands‑on experience with AWS Services (1-2 years).
  • Experience or strong knowledge of AWS/Azure DevOps.
  • Familiar with data visualization tools (in Power BI).
  • Proven ability to work collaboratively with software engineering teams.
  • Strong problem‑solving skills and attention to detail.
  • Bachelor’s degree in a related technical field.
  • (Optional) Experience with Docker, Jenkins, and NoSQL databases.
  • Excellent communication and collaboration skills.
  • Databricks experience.
  • Snowflake experience.
  • SQL Server experience.
  • AWS (Redshift, S3, Glue, Lambda) experience.
  • Power BI experience.
  • Docker experience.
  • Jenkins experience.

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.

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