Data Engineer

Associate Director – Data & AI Recruitment

Data Engineering Consultant (all levels)

Location: Newcastle Upon Tyne, England, United Kingdom

We’re working with a globally recognised consultancy that delivers cutting-edge digital, data, and analytics solutions to some of the most complex infrastructure projects across the UK and beyond. With a strong commitment to technical excellence, inclusion, and client impact, they partner with high-profile organisations to help them unlock the full potential of their data assets.

Due to continued growth and demand for their data services, they are expanding their specialist engineering team and seeking talented Data Engineering Consultants at various seniority levels — from experienced engineers to those ready to step into leadership roles.

Responsibilities

Collaborate with stakeholders across development, analytics, and business teams to define and implement components of the data landscape in line with strategic data goals

Translate business and end-user needs into robust technical solutions, delivery plans, and architectural designs

Build and maintain highly automated, scalable data pipelines using modern cloud-based tools

Identify and resolve data quality and pipeline performance issues to ensure stability and integrity

Contribute to the design and deployment of data lakes, warehouses, and streaming architectures

Participate in mentoring and upskilling junior team members, supporting a high-performance, inclusive team culture

Continuously look for opportunities to improve delivery methods, introduce new technologies, and drive technical innovation across client projects

Document processes and contribute to internal knowledge repositories and best practice libraries

Key Skills & Experience

Strong hands-on experience with Azure tooling, including:

Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools)

Azure Analysis Services or comparable BI tooling

Solid programming capability in:

SQL, Python, Spark, and ideally DAX

Familiarity with CI/CD, Git, and modern DevOps practices (preferably in Azure DevOps)

Excellent communication skills — able to clearly explain technical concepts to both technical and non-technical audiences

Ability to operate in a client-facing environment, contributing to multi-disciplinary teams and complex programmes

Ideally, experience with containerisation technologies such as Docker and Kubernetes

Exposure to Kimball data modeling, data architecture, and performance optimisation

Experience delivering end-to-end solutions involving Azure data platform components

Contact and how to apply

If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via [email protected] (feel free to include a CV for review)

Job details

Seniority level: Not Applicable

Employment type: Full-time

Job function: Information Technology and Consulting

Industries: Software Development and IT Services and IT Consulting

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