Salary: £50,000 - 50,000 per year Requirements: Experience of building and maintaining data pipelines in production environments Proficiency in Python and SQL coding skills, including PostgreSQL, MySQL, and NoSQL databases Familiarity with data pipeline orchestration tools (e.g., Airflow, Prefect, Dagster) Knowledge of cloud data platforms (e.g., AWS, S3, Glue, Athena, Redshift, Kinesis) Understanding of data warehouse concepts and dimensional modeling Experience with data streaming tools (e.g., Kafka, Kinesis) Strong collaboration and communication skills Responsibilities: Design, build, and implement robust data pipelines that transform raw IoT sensor data into actionable insights Work on scalable data infrastructure, from ingesting real-time sensor streams to building analytics-ready datasets Enable data-driven decision-making to improve operational efficiency across the global farm network Handle high-volume data processing and management of data quality Support AI/ML workflows within the team Collaborate effectively with a small, distributed team Technologies: AI Airflow AWS Redshift Cloud Data Warehouse IoT Support Kafka Machine Learning MySQL Network NoSQL PostgreSQL Python SQL More: We are a growing start-up revolutionizing fish farming through advanced Machine Learning and AI technology, making a positive impact across countries like Scotland, Chile, Canada, Australia, Spain, and Norway. As a Data Engineer, youll play a crucial role in our ambitious growth plans. This remote role offers you the flexibility to work from anywhere in the UK, with opportunities to work abroad and flexible working hours. You will also enjoy excellent career progression opportunities, a salary of up to £50k, paid training and certifications, a home office budget, and bi-annual company kick-offs at exciting locations. last updated 9 week of 2026