Data Engineer

Asset Resourcing Limited; London; Remote; GBP 50,000 - 70,000; Full time

Job summary

An innovative firm is seeking a skilled Data Engineer to transform their investment banking niche. This remote-first role offers the opportunity to design and build data pipelines while utilizing AWS services for data processing and storage. The ideal candidate will have a strong background in SQL, ETL processes, and database management, along with programming experience in Python or Java. Join a dynamic team dedicated to leveraging data to enhance business insights and drive success. With a generous benefits package and flexible working arrangements, this role is perfect for those looking to make a significant impact in the data engineering field.

Benefits

30 days holiday

Private Health Care

Life Assurance - 5x salary

Flexible working

Employee Assistance Program

Company Pension

Access to training and development

Buy and Sell holiday scheme

Qualifications

• 3+ years of experience in data engineering roles.
• Hands-on experience with AWS services for data processing.

Responsibilities

• Design and maintain efficient data pipelines for processing and analysis.
• Develop ETL processes to ensure data quality and integrity.

Skills

SQL

ETL processes

AWS services

Python

Java

Data warehousing concepts

Big data technologies

Problem-solving skills

Communication skills

Education

Bachelor's degree in computer science

Tools

MySQL

PostgreSQL

MongoDB

Hadoop

Spark

Job description

Job Description

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