Data Engineer Python SQL AWS

Client Server
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 50K

Job location

Remote

Tech stack

Airflow
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data Warehousing
Dimensional Modeling
Python
PostgreSQL
MySQL
NoSQL
SQL Databases
Data Streaming
Kafka
Data Management
Data Pipelines

Requirements

Do you have experience in SQL?, * You have experience of building and maintaining data pipelines in production environments

  • You have Python and SQL skills coding skills including PostgreSQL, MySQL and NoSQL databases
  • Ideally you will have experience with some of the following technology that is also in the tech stack: data pipeline orchestration tools (e.g. Airflow, Prefect, Dagster), cloud data platforms (e.g. AWS, S3, Glue, Athena, Redshift, Kinesis), data warehouse concepts and dimensional modelling, data streaming tools (e.g. Kafka, Kinesis)
  • You're collaborative with great communication skills

Benefits & conditions

  • Salary to £50k
  • Remote working (including abroad)
  • Paid for training and certifications
  • Home office budget
  • Bi-annual company kick-offs
  • Pension

About the company

Join a pioneering team using AI technology to revolutionise sustainable fish farming across six countries. Data Engineer (Python SQL AWS) Remote UK to £50k Would you like to work on complex and interesting AI based systems with a team of tech entrepreneurs? You could be joining a growing start-up that is utilising Machine Learning and AI technology to revolutionise fish farming, improving fish health and growth; their carbon neutral technology is already making a difference in Scotland, Chile, Canada, Australia, Spain and Norway and the company has ambitious growth plans. As a Data Engineer you will design, build and implement robust data pipelines that transform raw IoT sensor data into actionable insights for fish farmers worldwide. You'll work on scalable data infrastructure, from ingesting real-time sensor streams to building analytics ready datasets, enabling data driven decision making and improving operational efficiency across the global farm network. This role offers exciting challenges involving high-volume data processing, data quality management and supporting AI/ML workflows. There are excellent career progression opportunities as the company continues to scale; you'll be an integral part of a small, distributed team.

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