Senior Data Engineer

Summary

Join Carbonfuture as a Senior Data Engineer and lead the design and implementation of scalable data solutions to advance our mission of scaling durable carbon removal. You will own critical parts of our data infrastructure, shape our analytics strategy, and mentor others. Collaborate with cross-functional teams to translate business needs into data solutions. This role requires strong SQL and Python skills, experience with data warehouses, and building ETL/ELT pipelines. A strategic mindset and passion for using data to combat climate change are essential. We offer a competitive salary, flexible working hours, remote work options, and a supportive team environment.

Requirements

• Strong skills in SQL and Python, with experience across data warehouses
• Experience with at least one of the following: Apache Spark, PySpark, dbt, Snowpark, Hive, or Hadoop MapReduce
• Experience with at least one of the following data storage systems: HDFS, Azure Data Lake (ADLS), Amazon S3/EMR, or Google BigQuery/GCS
• Familiarity with common data formats (e.g., Parquet, ORC, Avro, Iceberg)
• Experience building ETL/ELT pipelines and working with Power BI or other BI tools
• A strategic mindset with the ability to design scalable data solutions
• A self-starter with a passion for using data to combat the climate crisis
• 5+ years of experience in data engineering or analytics, or equivalent academic background
• Excellent communication skills in English

Responsibilities

• Design and build robust, scalable data pipelines (ETL/ELT) using Python, SQL, dbt, and Spark/Snowpark
• Own and evolve our data architecture across platforms like BigQuery, Azure Data Lake, or S3, ensuring high performance and flexibility
• Implement data quality monitoring, validation, and enforce clear data contracts
• Develop and maintain modular analytics layers and ML-ready datasets using modern formats (e.g., Parquet, Iceberg)
• Enable self-service analytics through well-modeled data and intuitive Power BI dashboards
• Collaborate with cross-functional teams to translate business needs into data solutions
• Drive engineering excellence through mentorship, documentation, and best practices

Preferred Qualifications

Degree in a relevant field (e.g., Computer Science, Engineering, Statistics) is a plus

Benefits

• A ground-breaking business with an early foothold in the carbon removal industry and the ability to have a real impact on climate change
• Small but rapidly growing, international team with a shared mission to address climate change
• Flexible working hours and remote work with hybrid possible if you're close to Freiburg or Zurich
• Competitive salary
• 30 days paid leave + bank holidays
• Nilo.health (Mental Health & Wellbeing)
• Financial support for childcare
• Nice colleagues and a friendly, open and inclusive environment