Snr Data Engineer, Remote (AWS/Python or Spark)

Reference

PCO/AR/055626

Sector

IT & Internet

Salary

£85,000 Per Annum

Town/City

UK

Contract Type

Permanent

Closing Date

16/07/2021

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Snr Data Engineer, Remote (AWS/Python or Spark)  – UK

£85k

My client, an award-winning Publishing House is looking for an experienced Senior Data Engineer to help support their wider data products team. AWS and experience in either Python or Spark is a must.

This role reports to the Head of Data. 100% Home based and you need to be based and living in the UK to apply.

The Publishing House is one of the largest commercial publisher and digital platforms in the UK and is home to the UK and Ireland’s most iconic digital platforms, magazines and newspapers. Last year they sold millions of newspapers, with millions of readers for just one of their brands each month. Their network of websites is extensive and provide 24/7 coverage of news, sport and showbiz stories, with billions of page views per year.

Key Responsibilities

Responsible for maintaining and building on the existing data platform around content recommendations, and coordinating technological work in line with the higher level strategies around customer experience and value.

The Ideal Candidate

A fan of data and a believer in the opportunities it can unlock.

A confident and articulate communicator capable of inspiring strong collaboration within an organisation and between teams.

Confident at managing multiple projects and deadlines simultaneously.

A self-starter with a can-do, will-do attitude.


 

Key Skills 

An advanced degree in computer science, mathematics, statistics, physics, psychology, operations research, or equivalent work experience.

Great communication skills, and ability to get stuff done.

Experience applying quantitative methods to real world problems.

Experience with Python or Spark, and libraries like Scipy, Scikit-learn, Pandas.

Experience with relational databases such as MySql or PostgreSQL
(experience with NoSQL databases, Redshift or BigQuery is a plus).

Experience with modern data processing frameworks like Hadoop/mapreduce, Scala.

Important Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, Additional Resources will be acting in your best interest and may contact you in relation to the role, either by email, phone or text message. For more information see our Privacy Policy on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please contact us.

Additional Resources Ltd is an Employment Business and an Employment Agency as defined within The Conduct of Employment Agencies & Employment Businesses Regulations 2003.

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