Senior Data Engineer at Carbonfuture

Carbonfuture is seeking a Senior Data Engineer to lead the design and implementation of scalable data solutions to scale durable carbon removal. The Senior Data Engineer will take ownership of critical parts of Carbonfuture's data infrastructure, shape the future of the analytics strategy, and mentor others while collaborating closely with cross-functional teams. This role directly supports data-driven decision-making for internal stakeholders, suppliers, and partners across the carbon removal ecosystem.Responsibilities include:

• Designing and building robust, scalable data pipelines (ETL/ELT) using Python, SQL, dbt, and Spark/Snowpark.
• Owning and evolving Carbonfuture's data architecture across platforms like BigQuery, Azure Data Lake, or S3.
• Implementing data quality monitoring, validation, and enforcing clear data contracts.
• Developing and maintaining modular analytics layers and ML-ready datasets using modern formats (e.g., Parquet, Iceberg).
• Enabling self-service analytics through well-modeled data and intuitive Power BI dashboards.
• Collaborating with cross-functional teams to translate business needs into data solutions.
• Driving engineering excellence through mentorship, documentation, and best practices.

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.
• Degree in a relevant field (e.g., Computer Science, Engineering, Statistics) is a plus.
• Excellent communication skills in English.

Benefits include:

• Flexible working hours
• Remote work with hybrid possible if close to Freiburg or Zurich
• 30 days paid leave + bank holidays
• nilo.health (Mental Health & Wellbeing)
• Financial support for childcare