Data Engineer

McCabe & Barton; London; On-site; GBP 45,000 - 65,000; Full time

Job summary

A leading company is seeking Junior and Middle level Data Engineers for permanent positions in London. Responsibilities include developing processes to transform and clean data, collaborating across teams, maintaining data quality, and migrating legacy processes. Candidates should have a relevant degree, experience in SQL and Python, and strong communication skills.

Qualifications

• 2-4 years of experience in data engineering roles.
• Good communication skills to work across functional teams.

Responsibilities

• Develop, document, and maintain robust processes for data transformation and cleaning.
• Liaise with colleagues to elaborate requirements for new data products.
• Investigate and resolve data issues to improve data quality.

Skills

SQL

Python

Data transformation

Data cleaning

Data visualization

Communication

Education

Minimum 2:1 degree in a relevant technical field

Tools

Microsoft Azure

Power BI

Snowflake

Cognos

Tableau

Qlik

Job description

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Our client is looking for Junior and Middle level Data Engineers to join the teams. This is a permanent position with a salary range of £45k-£65k, depending on experience. There is a requirement to be in the office once every 3 months.

• Develop, document, and maintain robust processes that transform and clean data for input into various live systems and analytical workflows.
• Liaise with colleagues across the business to elaborate requirements for new data products and translate these into technical plans.
• Maintain process quality and robustness through coding best practices, including version control, documentation, and peer review.
• Investigate and resolve data issues to help drive continuous improvement in data quality.
• Migrate legacy processes to new data platforms.
• Learn new tools and techniques to support data processing and analytics as the toolkit expands.

Skills we would love you to have:

• Minimum 2:1 degree in a relevant technical field.
• Good understanding of database architecture and querying using SQL.
• Understanding of data transformation and cleaning.
• Programming experience in languages such as Python.
• Knowledge of Microsoft Azure, Power BI, and Snowflake; skills in SQL, Cognos, and data visualization tools like Tableau, Power BI, or Qlik are desirable.

2-4 years of experience and good communication skills to work across functional teams.