Senior Data Engineer

at  Celus

YOUR PROFILE

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of hands-on experience as a Data Engineer with focus on data analytics and setting up trackers.
• Proficiency in analytics frameworks e.g. Snowplow.
• Strong proficiency in SQL with a track record of real-time analytics and streaming.
• Familiarity with cloud platforms such as AWS is a plus.
• Proven ability to mentor and support team members with technical knowledge.
• Excellent problem-solving and communication skills in English.

ABOUT US

CELUS simplifies and accelerates the electronics design process for the global engineering community with it’s 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 both Munich, Germany and Porto, Portugal.
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.

We are looking for an experienced Senior Data Engineer (F/M/D) supporting analytics projects who will be responsible for building and maintaining robust analytics collection pipelines, integrating and modeling analytics-related data. You will work closely with cross-functional teams to develop and manage data warehousing solutions to support efficient data storage and retrieval.

Your responsibilities in the position will include:

• Leverage advanced analytics expertise to drive business growth and enhance company’s capabilities.
• Draw from extensive knowledge of data warehousing techniques and tools (e.g. Snowplow, Databricks).
• Utilize excellent SQL skills and tool stack (e.g. DBT) to build and serve data models.
• Design, develop, and maintain scalable and efficient ETL pipelines.
• Collaborate with data engineers and business stakeholders to understand data requirements and ensure the delivery of high-quality data supporting business needs.
• Support software engineers to set up and maintain trackers.