JOB DETAILS

Data Engineer

CompanyCelus
LocationMunich
Work ModeOn Site
PostedJuly 30, 2026
About The Company
CELUS is a deep-tech software company based in Munich, Germany, changing electronics design by automating and optimizing the development process. The CELUS Design Platform uses advanced AI and a vast component database to transform functional requirements into detailed electronics designs, including schematics and bills of materials, all in record time. At the core of the platform are CUBOs—Digital Datasheets that replace static PDF datasheets and application notes. These provide engineers with structured, ready-to-use information that integrates seamlessly into the design process, enabling faster and more efficient decision-making. By automating repetitive tasks and offering tailored recommendations, the CELUS Design Platform drastically reduces time-to-market while improving design accuracy. Beyond efficiency, CELUS connects the entire electronics ecosystem. By building a collaborative network of component manufacturers, distributors, EDA suppliers, and customers, the platform enables innovation through better accessibility and integration of components. CELUS empowers engineering teams by eliminating routine tasks, enabling them to focus on creativity and innovation. With CELUS, electronics design becomes a streamlined and flexible process, delivering optimized solutions to meet evolving industry challenges.
About the Role

Your responsibilities

At CELUS, we're building the platform where component adoption happens and are hiring a Data Engineer (F/M/D), who will play a key role in building reliable, scalable data pipelines and ingestion processes that create real impact across our product and the wider business, while supporting analytics initiatives across the business.
 
Your responsibilities will include:
  • Design, build, and maintain scalable ETL and data ingestion pipelines using Databricks, PySpark, supporting the full lifecycle from development through deployment and optimisation.
  • Configure and support Snowplow event tracking and data collection, ensuring high-quality behavioural data is available for analytics and reporting.
  • Develop and maintain data transformation and semantic models using SQL and dbt, delivering trusted datasets that enable self-service analytics and business insights.
  • Collaborate with software engineers and business stakeholders to understand data requirements, improve data quality, and support integrations across our data platform, including APIs and databases such as PostgreSQL, MongoDB, or DuckDB.
  • Contribute to the continuous improvement of our data platform by monitoring pipeline performance, sharing best practices, mentoring colleagues, and exploring new technologies that enhance our data engineering capabilities.

Your profile

  • Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related technical field.
  • Hands-on experience as a Data Engineer, with practical experience building ETL and data ingestion pipelines.
  • Strong experience with Databricks (our primary data platform), SQL, and Python, PySpark 
  • Experience working with Snowplow for event tracking and analytics data collection. Experience with dbt for data transformation is highly advantageous.
  • Exposure to at least one of PostgreSQL, MongoDB, or DuckDB
  • Excellent communication skills and the ability to collaborate and problem solve effectively 
  • An interest in mentoring colleagues and contributing to a data-driven culture is highly valued.

We offer:

Shape the future

Have a direct impact on the electronics industry with our agile and international team.


Feel welcome

Experience our start-up culture with free lunches in the office canteen, our unique coffee culture, and regular team events that bring colleagues together.


Commute freely

Enjoy our modern, centrally located offices, free public transport tickets, free EV charging, and complimentary parking.


Learn and develop

Improve your skills with our English/German language classes, trainings and conferences with a yearly budget up to 1000 EUR. Support your wellbeing with an EGYM Wellpass membership.


Decide where and when you work

Benefit from a hybrid office environment, flexible working schedule, workation program, additional paid Christmas week holiday.

About us

CELUS simplifies and accelerates the electronics design process for the global engineering community with its AI-powered CELUS Design Platform. 

We are a Munich founded start-up on a mission to unleash scalable engineering by providing a comprehensive library of electronics components and CUBOs, automating all the manual and tedious tasks in the design process, so engineers can spend more time on innovation. 

Join our community of tech enthusiasts and proactive high performers in an amazing journey through the world of electronics. We work with a clear vision, empowered by an ambitious, fast-paced environment and caring atmosphere, where your ideas and contributions are highly valued. We have offices in Munich, Germany; Porto, Portugal; and Austin, Texas, USA.

Embracing diversity is a very important value at CELUS. As an equal opportunity employer, we do not discriminate against any employee or applicant for employment because of disability, race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression.
Key Skills
Data EngineeringDatabricksPySparkETLSnowplowSQLdbtPythonPostgreSQLMongoDBDuckDBData pipelinesData transformationSemantic modelingAPI integrationData quality
Categories
Data & AnalyticsSoftwareTechnologyEngineering
Benefits
Free lunchesCoffee cultureTeam eventsFree public transport ticketsFree EV chargingComplimentary parkingLanguage classesTraining budgetEGYM Wellpass membershipHybrid office environmentFlexible working scheduleWorkation programAdditional paid Christmas week holiday
Job Information
📋Core Responsibilities
Design, build, and maintain scalable ETL and data ingestion pipelines using Databricks and PySpark. Collaborate with stakeholders to develop semantic models and ensure high-quality data availability for analytics.
📋Job Type
permanent employee
📊Experience Level
5-10
💼Company Size
101
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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