Data Engineer

Asset Resourcing Limited

Posted 18 days ago, valid for 4 days

London, Greater London E10 6EJ, England

Full Time

Life Insurance

Employee Assistance

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Sonic Summary

Our client is seeking a skilled Data Engineer to join their remote-first team with a London HQ, offering a salary range of £50-70K plus enhanced benefits.
The ideal candidate should have a minimum of 3 years of experience in data engineering roles and a Bachelor's degree in computer science, engineering, or a related field.
Key skills required include strong proficiency in SQL, ETL processes, and database management systems, along with hands-on experience using AWS services for data processing and storage.
Responsibilities include designing and maintaining data pipelines, managing databases, and collaborating with data scientists and business analysts to meet data requirements.
The position offers a comprehensive benefits package including 30 days of holiday, private health care, flexible working options, and access to training and development.

Data Engineer (SQL / AWS / Python or Java) - Remote-first / London HQ - £50-70K + enhanced bens

Our client is focused on transforming their investment banking niche by providing a single global solution that replaces legacy technology and systems.

They are seeking a skilled Data Engineer to join their team. The ideal candidate should be experienced in designing and building data pipelines, performing ETL operations, and managing databases. The candidate will also need to have knowledge and experience in using AWS services for data processing, storage, and analysis.

Qualifications:

Bachelor's degree in computer science, engineering or related field.
Minimum of 3 years of experience in data engineering roles.
Strong proficiency in SQL, ETL processes and database management systems (e.g., MySQL, PostgreSQL, MongoDB).
Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3, Redshift, EMR, Glue).
Familiarity with programming languages such as Python or Java.
Understanding of data warehousing concepts and data modeling techniques.
Experience working with big data technologies (e.g., Hadoop, Spark) is an advantage.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills

Responsibilities:

Design, build and maintain efficient and scalable data pipelines to support data processing and analysis.
Develop and implement ETL processes to ensure data quality and integrity.
Manage and optimize databases, including designing schema and indexing strategies, data partitioning and data archival.
Work closely with data scientists and business analysts to understand data requirements and translate them into technical solutions.
Collaborate with DevOps and IT teams to deploy, monitor and troubleshoot data systems.
Develop and maintain documentation on data infrastructure and processes.
Stay current with the latest data engineering technologies, tools and practices.

Benefits

Holiday - 30 days
Private Health Care including family cover?
Life Assurance - 5x salary?
Flexible working - work from home and/or in London Office?
Employee Assistance Program?
Company Pension?(Salary Sacrifice options available)
Access to training and development?
Buy and Sell holiday scheme

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