Data Engineer

Xcede; Manchester; On-site; GBP 30,000 - 40,000; Full time

Job summary

A leading consultancy is looking for Data Engineering Consultants in Manchester to enhance their data services. This role involves collaborating on data solutions and mentoring junior team members within a dynamic team. Candidates should have experience with Azure tools and a strong programming background, supporting cutting-edge infrastructure projects across the UK.

Qualifications

• Strong hands-on experience with Azure tooling.
• Solid programming capability in SQL, Python, and Spark.
• Familiarity with CI/CD, Git, and DevOps practices.

Responsibilities

• Collaborate with stakeholders to implement components of the data landscape.
• Build and maintain highly automated, scalable data pipelines.
• Contribute to the design and deployment of data lakes and warehouses.

Skills

Azure Analysis Services

SQL

Python

Spark

DAX

Git

DevOps practices

Containerization technologies

Kimball data modeling

Job description

Xcede Manchester, England, United Kingdom

Xcede Manchester, England, United Kingdom

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This range is provided by Xcede. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Xcede

Associate Director – Data & AI Recruitment

Data Engineering Consultant (all levels)

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.

The Role

As a Data Engineering Consultant, you will:

• 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

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 [e-mail] (feel free to include a CV for review)

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Consulting

• Industries

  Software Development and IT Services and IT Consulting

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