Data Engineer

CELUS; Porto; Híbrido; EUR 55 000 - 75 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Meal allowance (Lunch on us)

Private health insurance

Language courses (English/Portuguese)

Hybrid office environment with home‑of

Workation program

24 vacation days + Christmas week

Resumo da oferta

CELUS, a Munich-founded startup with offices in Porto, is hiring a Data Engineer (F/M/D) to design and maintain scalable data pipelines and ingestion processes that empower analytics and product insights. You will work with Databricks, PySpark, SQL, and dbt to deliver trusted datasets and support data-driven decisions across the business.

You will collaborate with engineers and stakeholders, mentoring teammates and contributing to a data-driven culture, in a hybrid Porto-based role with

Qualificações

• 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 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.

Responsabilidades

• Design, build, and maintain scalable ETL and data ingestion pipelines using Databricks and PySpark.
• Configure and support Snowplow event tracking and data collection for analytics.
• Develop and maintain data transformation and semantic models using SQL and dbt.
• Collaborate with software engineers and business stakeholders to understand data requirements and integrations across the data platform.
• Monitor pipeline performance, share best practices, and mentor colleagues; explore new technologies to enhance capabilities.

Conhecimentos

Data engineering

SQL

Python

PySpark

Formação académica

Bachelor's degree in Computer Science or related field

Ferramentas

Databricks

Snowplow

dbt

PostgreSQL

MongoDB

DuckDB

Descrição da oferta de emprego

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 startup team.

Lunch on us

Enjoy meal allowance, with a Coverflex card, which can be used in restaurants, supermarkets, food delivery services within the VISA network.

Stay healthy

Benefit from Private Health Insurance through the leading health insurance brand in Portugal, ensuring peace of mind for your well-being.

Learn and develop

Improve your skills with our English/Portuguese language classes, trainings and workshops.

Decide where and when you work

Enjoy hybrid office environment with home office allowance, flexible working schedule, “workation” program, 24 vacation days plus 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.