Data Engineer Python SQL AWS

Client Server

5 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

Artificial Intelligence

Airflow

Amazon Web Services (AWS)

Data Infrastructure

Data Warehousing

Dimensional Modeling

Python

PostgreSQL

Machine Learning

MySQL

NoSQL

SQL Databases

Data Streaming

Data Processing

Kafka

Data Management

Data Pipelines

Job description

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.

Location / WFH:

You can work from home remotely from anywhere in the UK, there is also flexibility to work abroad for periods throughout the year and flexible start and finish times. There are two company "kick-off" meetings per year at great destinations for a week at a time.

Requirements

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