Senior Data Engineer

Orange Quarter; Frankfurt; Remote; EUR 60.000 - 95.000; Vollzeit

Zusammenfassung

An innovative climate-tech startup is seeking a skilled Data Engineer to take ownership of their data infrastructure. This exciting role involves designing and building robust data pipelines using Python and SQL, ensuring reliable data flow across the organization. You will collaborate with diverse teams and mentor others, playing a vital role in shaping the company's data strategy. With a remote-first culture and a mission-driven team, this opportunity allows you to contribute to a sustainable future while growing your career in a fast-paced environment.

Qualifikationen

• 5+ years industry experience as a Data Engineer.
• Strong in SQL and Python; experienced working with data warehouses.
• Familiar with cloud storage solutions like S3 or BigQuery.

Aufgaben

• Design and build robust, scalable data pipelines using Python and SQL.
• Collaborate with cross-functional teams and mentor others.
• Build and scale the data warehouse to ensure reliable data flow.

Kenntnisse

Python

SQL

Data Engineering

Data Warehousing

Spark

dbt

Hadoop

Power BI

Cloud Storage (S3, ADLS, BigQuery)

Ausbildung

Degree in relevant field

Tools

Spark

dbt

Hadoop

Power BI

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