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Posted about 2 months ago

Data Engineer Kafka Python ETL AWS

Cambridge, Cambridgeshire | £70,000 - £80,000 per yearManaged by: CSR DevFEOSJava

Data Engineer / Backend Software Engineer (Kafka Python ETL AWS) *Hybrid WfH / Remote*. Are you a technologist Data Engineer? You could be joining a scale-up energy trading, real-time market data / trading platform and progressing your career in a senior role.

As a Data Engineer you will play a key role in building a real-time data platform for their clients' to better understand their trading data via Machine Learning and data analysis, enabling them to make better strategic trading decisions.

You will design, develop, execute and maintain highly automated data pipelines in AWS; build, maintain and support data work streams; leverage automated ETL and reporting using cloud platform technologies and help establish best practice. You'll collaborate across engineering teams and follow Agile and DevOps practices working on a modern tech stack with technologies such as Python, Kafka, Spark, AWS and Kubernetes amongst others; you'll be able to make recommendations for technology choices and improvements to the tech stack.

The company is able to offer a remote interview and onboarding process as well as the ability to work from home with a great deal of flexibility going forward, you'll need to be able to visit the office in Cambridge around once or twice a month.

Requirements:
* You have strong data engineering experience, having built and maintained automated data pipelines using Kafka (and Spark ideally)
* You've worked with cloud based services and containers: AWS and Kubernetes, Docker and Airflow would also be great
* You're collaborative with cross functional Agile team experience
* You're proactive in identifying areas for improvement and up to date with current technology and trends

As a Data Engineer you will earn a competitive salary (to £80k) plus benefits.

Apply now or call to find out more about this Data Engineer / Backend Software Engineer (Kafka Python ETL AWS) opportunity.

Ref: BB/17894/A/KS/030522_1651574792

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