Data Engineer

Anson McCade; Greater London; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

25 days annual leave

Private medical insurance

Charitable leave

Career development

Job summary

Anson McCade is recruiting Data Engineers from junior to senior level to work on exciting projects across data engineering, cloud, AI and machine learning. Based in London, you’ll have opportunities to contribute to client engagements across the UK and travel ad hoc to client sites.

You will work in an Agile environment, applying Python, SQL/NoSQL, data lakes and warehouses, Spark and Terraform, with CI/CD and model monitoring.

Responsibilities

• Work on data engineering, cloud, AI and ML projects across client engagements.
• Collaborate with technical teams, clients and stakeholders in an Agile environment.

Skills

Python

SQL & NoSQL

Data lakes

Data warehouses

Spark

Kinesis

Distributed computing

Terraform

Infrastructure as Code

CI/CD

TDD

Version control

AI/ML

Model monitoring

Job description

London | Manchester | Birmingham | Bristol

Competitive salary + benefits

Ad hoc travel to client sites across the UK

We’re looking for Data Engineers from Junior to Senior level to work on exciting projects across data engineering, cloud, AI and machine learning.

What you’ll be working with:

• Python
• SQL & NoSQL
• Data lakes & data warehouses
• Spark, Kinesis & distributed computing
• Terraform/Infrastructure as Code
• CI/CD, TDD & version control
• AI/ML and production model monitoring

You’ll work in an Agile environment, solving complex data challenges and collaborating with technical teams, clients and stakeholders.

What’s on offer:

• Competitive salary and benefits
• 25 days’ annual leave
• Private medical insurance
• 3 additional days’ leave for charitable work
• Career development and exposure to modern data & AI technologies

Important Security Clearance Requirement

Any offer is subject to satisfactory BPSS and DV security clearance.

These requirements relate specifically to the client requirement.