Hackajob is collaborating with Tes to connect them with exceptional professionals for this role.
Tes is an international provider of software-enabled services passionate about using technology to make life easier for schools and teachers. All products and services are built with teachers and schools needs at the core, ensuring they are innovative, trusted education solutions.
Role Overview
This is an exciting role in our transformation as it will help provide valuable insights, improve decision‑making leading us to deliver value where schools and teachers need it most. We are looking for a junior to mid‑level Data Engineer to join our team and help us build and maintain our data infrastructure. Our Data Engineering team sits within the Data & Insights team.
Key Responsibilities
* Design, develop, and implement data pipelines and data processing systems.
* Work alongside Data Analysts and Analytics Engineers to build and maintain data models and infrastructure. Delivering a platform that meets their and business stakeholder’s needs.
* Take ownership of deploying your code and optimise data pipelines for performance and scalability.
* Ensure the quality and integrity of data.
* Happy to contribute and share knowledge amongst their own team and Tes Engineering via knowledge sharing meetings.
Essential Skills
What You Need to Succeed
* Strong skills in Python and SQL
* Demonstrable hands‑on experience in AWS cloud
* Data ingestions both batch and streaming data and data transformations (Airflow, Glue, Lambda, Snowflake Data Loader, FiveTran, Spark, Hive etc.).
* Apply agile thinking to your work. Delivering in iterations that incrementally build on what went before.
* Excellent problem‑solving and analytical skills.
* Good written and verbal skills, able to translate concepts into easily understood diagrams and visuals for both technical and non‑technical people alike.
Desirable Skills
* AWS cloud products (Lambda functions, Redshift, S3, AmazonMQ, Kinesis, EMR, RDS (Postgres)).
* Apache Airflow for orchestration.
* DBT for data transformations.
* Machine Learning for product insights and recommendations.
* Experience with microservices using technologies like Docker for local development.
* Apply engineering best practices to your work, e.g. unit tests and test‑driven development.
What do you get in return?
* 25 days annual leave rising to 30
* 5% pension after probation
* State of the art city centre offices
* Access to a range of benefits via My Benefits World
* Discounted city centre parking
* Free eye care coverLife Assurance
* Cycle to Work Scheme
* EAP (Employee assistance programme)
* Monthly Tes Socials
* Access to an extensive Learning and Development menu
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