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Data Engineer Python SQL AWS - Technologist

Client Server Ltd.
Posted 11 hours ago, valid for 15 days
Location

Sunderland, Tyne and Wear SR4 6ST, England

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The Data Engineer position in Sunderland offers a competitive salary of up to £55,000, depending on experience.
  • Candidates should have strong experience in data models, data mining, and segmentation techniques, along with proficiency in Python (or C#) and SQL.
  • Experience with SQL databases like Amazon Redshift and PostgreSQL, as well as data tooling such as Airflow and AWS Kinesis, is required.
  • The role involves responsibilities like data ingestion, transformation, storage, and governance, while also allowing for improvements in processes and technology.
  • The company promotes a hybrid work-from-home policy and provides various perks including training opportunities, bonuses, and private medical care.

Data Engineer (Python SQL AWS) Sunderland / WFH to £55k

Are you a data technologist? You could be progressing your career within a relaxed, supportive team environment at a tech driven online gaming / low-cost gambling SaaS tech company that provide a range of white labelled gaming platforms for household names with millions of concurrent players.

You will join a small team of Data Engineers responsible for implementing methods to improve data reliability and quality, combining raw information from a variety of different sources to create consistent and machine readable formats as well as developing the data infrastructure that enables data extraction and transformation for predictive or prescriptive modelling.

You'll have a broad scope of responsibilities including data ingestion, data transformation, data storage, ETL, data modelling, data quality and governance, data integration, performance tuning, scalability, resilience, security, tooling and technology. You'll take a senior role and be able to contribute to continual process and technology improvements.

WFH Policy:

There's a hybrid work from home policy with 2-3 days a week; when you're in the office you'll be collaborating with fellow technologists in a relaxed environment in awesome custom built offices in Sunderland with a range of facilities and perks including free meals at the onsite restaurant as well as membership at onsite gym.

Requirements:

  • You are a Data Engineer with strong experience of data models, data mining and segmentation techniques
  • You have coding skills with Python (or C#) and SQL
  • You have experience with SQL databases (e.g. Amazon Redshift, PostgreSQL)
  • You have experience with data tooling (e.g. Airflow, DBT, AWS Kinesis)
  • You have strong analysis and problem solving skills
  • You're collaborative with excellent communication skills

What's in it for you:

  • Competitive salary to £55k depending on experience and knowledge
  • Continual training, learning and career development opportunities
  • Bonus (paid quarterly)
  • Pension
  • Private medical care
  • And a range of other perks and benefits

Apply now to find out more about this Data Engineer (Python SQL AWS) opportunity.

At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.