Data Engineer £50,000 - £60,000Cambridge, Hybrid 2-3 days per week in office
We are working with an innovative "tech-for-good" Cambridge start-up as they build out their Data team. Here, data plays an important role in driving business insights and performance across the platform, and so we are looking for a Data Engineer to help scale data infrastructure, build scalable data pipelines, and collaborate closely with the wider data team with the designing and maintaining of data architecture.
Key Responsibilities
* Design and implement scalable data pipelines
* Build and optimise ETL processes
* Manage data storage solutions, such as S3, Redshift, and RDS, ensuring optimal performance and cost-efficiency
* Automate data workflows
* Ensure data quality, integrity, and compliance with privacy regulations
* Monitor and troubleshoot data pipelines and data storage performance to ensure reliability and accuracy
* Document and maintain data architecture and pipelines for long-term scalability
Requirements
* Python, Java, or Scala.
* AWS Cloud Services: AWS S3, AWS Lambda, Amazon Redshift, etc
* Apache Airflow, AWS Glue, dbt
* PostgreSQL, MySQL, DynamoDB, MongoDB
* REST APIs, AWS Gateway
* Git, GitHub, GitLab
* 5+ years in data engineering, cloud data solutions, or related roles
If this role sounds ...