Job Description:

Key focus areas:

• Building scalable data pipelines using Apache Spark & Airflow
• Working within a cloud-based, containerised environment (Kubernetes)
• Contributing to a wider data platform modernisation programme
• Supporting both batch and streaming workloads

Tech: Python, Java, Spark, Airflow, SQL, Cloud (AWS/Azure), Kubernetes (Kafka/streaming nice to have)
Details:

• £700/day (Umbrella)
• 6-month contract
• 3 days onsite - City of London

They're looking for a strong, hands-on engineer (5+ years) with experience in big data / distributed systems and modern data platforms.

Please click here to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement.

To find out more about Huxley, please visit (url removed)

Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales