Data Engineer - Horley, United Kingdom - YourRecruit Group

YourRecruit Group

Verified Company

Horley, United Kingdom

3 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

How does working for an established energy services provider for over 40 years sound? My client helps organisations manage their energy better and are well-respected within their division.

Data is key to this company's role in the energy industry.

The Data Engineering Team is looking for an experienced
Data Engineer to design and develop data systems to support the rapid growth in the business.

This will involve working with different types of data and systems, identifying areas for improvement, and designing new data processing pipelinesand systems to provide a robust, scalable data platform for the future.

Data Engineer Responsibilities:

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Data Engineer will design robust data processing systems to replace existing manual or inefficient processes.

Identify ways to improve data reliability and quality, such as automating manual steps to increase the quality and speed of data processing where possible.
Deploy sophisticated analytics programs, machine learning and statistical methods so that they can integrate with the company's energy insights platform.
Document all designs, specifications and interfaces so that users can understand them clearly.
Ensure environments are stable and available.
Write production quality code including good unit test coverage.

Data Engineer Qualifications / Experience:

Degree in Computer Science, Engineering, Applied Mathematics or other related disciplines, or professional qualifications and experience in the field of Data Engineering.
Experience working on data pipelines at scale using the latest technologies.
Desirable to have previously worked with Data Scientists.
Desirable to have demonstrable continuous professional development in programming languages such as Python, C#, or Java.

Data Engineer Skills / Ability:

Good knowledge of the relevant technologies e.g. SQL, Oracle, PostgreSQL, Python, ETL pipelines, Airflow, Hadoop, Parquet.
Comfortable working in Linux and docker deployment environments.
Indepth understanding of data modelling, access and storage.

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Data Engineer with strong problem-solving and analytical abilities.

Ability to present solutions and limitations to nonIT business experts.
Proactively share knowledge, skills and experience with others to increase team performance.

Benefits:

Pension scheme after 3 months matching up to 8% of employee contribution
Simplyhealth Cash Plan after probationary period
Professional qualifications sponsorship
Career development opportunities in a growing Group of companies
Increasing holiday with length of service days pa plus bank holidays)
Holiday EXTRA purchase up to 5 days extra holiday per year
Employee Assistance programmes health, legal, counselling (through Simply Health).

Interested?

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