Senior Data Engineer

Orange Quarter; Dortmund; Remote; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

Join a fast-growing climate-tech startup dedicated to driving the carbon removal market. In this role, you will take ownership of the data infrastructure, designing and building scalable data pipelines to ensure reliable data flow. Collaborate with diverse teams and mentor others while shaping a sustainable future through innovative data solutions. This remote-first company values purpose-driven work, offering a unique opportunity to impact the climate positively while advancing your career in data engineering.

Qualifikationen

• 5+ years of industry experience as a Data Engineer.
• Strong in SQL and Python; experienced with data warehouses.

Aufgaben

• Design and build robust, scalable data pipelines using Python and SQL.
• Collaborate with cross-functional teams to leverage data effectively.

Kenntnisse

Python

SQL

Data Warehousing

Spark

dbt

Hadoop

Power BI

Ausbildung

Degree in relevant field

Tools

Spark

dbt

Power BI

Hadoop

Cloud Storage (S3, ADLS, BigQuery)

Jobbeschreibung

Our client is a fast-growing climate-tech start up on a mission to drive the global carbon removal market forward. Backed by top tier investors and trusted by some of the world’s leading sustainability pioneers, they’re building the digital backbone for high quality, verifiable carbon removal. Their platform connects project developers, corporate buyers, and certifiers to ensure transparency, scalability, and trust in every tonne removed. With a remote first culture and a deeply purpose driven team, they’re shaping a more sustainable future, one carbon-negative project at a time.

What to expect -

You will take ownership of key components of our data infrastructure and help shape how data is leveraged across the company. You will design and build robust, scalable data pipelines using Python, SQL, dbt, and Spark / Snowpark, ensuring reliable data flow throughout the organisation. You’ll be responsible for building and scaling our data warehouse. You will collaborate closely with cross functional teams, mentor others, and play a key role in driving a thoughtful, scalable approach to data as the company grows.

Requirements -

• 5+ years industry experience as a Data Engineer
• Degree in relevant field
• Strong in SQL and Python; experienced working with data warehouses
• Experience with tools like Spark, dbt, or Hadoop
• Familiar with cloud storage like S3, ADLS, or BigQuery
• Built data pipelines and used tools like Power BI