Azubi Fachkraft für Lagerlogistik

Orange Quarter; Essen; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

Join a fast-growing climate-tech startup dedicated to advancing the carbon removal market. In this exciting role, you will take ownership of key components of the data infrastructure, designing and building scalable data pipelines using Python, SQL, and cutting-edge tools like Spark and dbt. Collaborate with a purpose-driven team to ensure reliable data flow and transparency across the organization. This innovative firm is committed to sustainability, and your contributions will play a crucial role in shaping a more sustainable future. If you are passionate about data engineering and making a positive impact, this opportunity is for you.

Qualifikationen

• 5+ years 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 drive data initiatives.

Kenntnisse

Python

SQL

Data Pipeline Development

Data Warehousing

Spark

dbt

Hadoop

Ausbildung

Degree in relevant field

Tools

Power BI

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