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Job Details

 

Data Engineer (Permanent)

Location: London Country: UK Rate: £80k - 100k per annum
 
Data Engineer based in central London Up to £100,000

By the time you get to the end of this advert, terabytes of Real Time data consisting of billions of data points will have been generated by the hundreds of millions of sensors installed in rigs, wells, plants, and factories across the planet.
We're helping to scale the team for an international client in the oil and gas sector who are taking their services to the next level by marrying big data systems and microservices with machine learning and industrial standards to enable Industry 4.0 applications.

What you'll be doing
The company are building an all-encompassing data management and automation platform so clients can turn raw data into an insights and true business intelligence. You'll be part of a small (but growing!) core platforms team working with a bunch of open source technology and 15-20 microservices written in a number of core areas including Java, Python and Go building out the platform that the companies applications sit on.

They're already at commercial release which is on-prem and with their 12 month road map they're looking into a number of exciting areas including pushing towards having a cloud native deployment.

So, you know it's an Industrial IoT platform, but in terms of tech what can you expect?
Well the platform leverages all sorts from VerneMQ, Flink, TimescaleDB, Druid and JanusGraph through to Docker, Kubernetes, Ansible, Postgres, Flask, React, Zeppelin, OpenRDF, Redis, Spark, Superset, and Keycloak, to name a few.

The languages they currently use are Java, Scala, Python, Golang, Erlang, Lua, and Javascript. Then the machine learning pipelines revolve around Sklearn, Pandas, Numpy, Spark ML Pipelines, and Keras/
Tensorflow.

But we don't necessarily need experience in all these areas!

About you
TL;DR you're a mix between Software Engineer and Data Engineer who loves to learn and build really cool things.

In terms of languages we're looking at people ideally with experience of Java, Python, and Golang with a fair amount of experience delivering production grade code under your belt. There are also plus points for experience with low latency systems, real-world data pipelines, data science and time series data.

Previous experience with bleeding edge big data systems and micro services based architecture is a must and basically you should live and breathe Spark, Storm, Cassandra, HBase, Hive, Kafka, Postgres, Kubernetes, and Docker or as close to that as possible!
Other than that, things like Flink, Druid and Impala would be a plus and basically the cloud (Azure, AWS, and GCP) should be your second home!

Still here? Good!
For more details please apply for an initial call back regarding the role/your experience or call Jonathan Edwards for a confidential chat and more information on the role.

By submitting your job application, you are giving IntaPeople consent to store and process your personal data in line with our privacy policy (which can be found on our website). Your personal data will be processed for this job and any future relevant jobs we match with your skill set (please note - your details will never be submitted to a client without your explicit consent). The services advertised by IntaPeople are those of an Employment Agency and an Employment Business.


Posted Date: 22 May 2019 Reference: JSIP30219-JE Employment Agency: IntaPeople Contact: Jonathan Edwards