Data Engineer

Candour; Wigan; On-site; GBP 40,000 - 60,000; Full time

Job summary

A software service provider is seeking an experienced Data Engineer to design and build data solutions on the Azure platform. Responsibilities include developing ETL pipelines, managing SQL and NoSQL databases, and ensuring data quality. Candidates should have strong data engineering experience, expertise in SQL and Azure services, and familiarity with ETL processes. This full-time position is located in Wigan, England.

Qualifications

• 3+ years of experience in data engineering.
• Hands-on experience with Azure services, including Synapse and Fabric.
• Proven ETL design and implementation experience.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines.
• Build and optimize data lakes and warehouses in the cloud.
• Integrate internal and external data sources and APIs.

Skills

Data Engineering

SQL expertise

NoSQL databases familiarity

Experience with Azure services

Problem-solving skills

Clear communication

Tools

Azure SQL

Cosmos DB

Terraform

Spark

Databricks

Job description

This range is provided by Candour. 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 Candour

Technology Specialist Recruitment Consultant - Software Development Team

I'm currently working with a client, a specialist software-as-a-service provider delivering tailored solutions and support to organisations across the UK energy sector. They are seeking an experienced Data Engineer to design, build, and optimise data solutions on the Azure platform. This role involves working with both structured and unstructured data to support business decision‑making, analytics, and operational processes.

What You’ll Do:

• Design, develop, and maintain ETL/ELT pipelines.
• Build and optimize data lakes, warehouses, and lakehouse architectures in the cloud.
• Manage SQL and NoSQL databases (e.g., Azure SQL, Cosmos DB).
• Automate and scale data infrastructure using Infrastructure as Code.
• Monitor and ensure data quality, governance, and security.
• Optimize performance with efficient queries and resource management.
• Integrate internal and external data sources and APIs.
• Translate business needs into scalable, reliable data solutions.

What They Are Looking For:

• 3+ years of experience in data engineering.
• Strong SQL expertise; familiarity with NoSQL databases.
• Hands‑on experience with Azure services, including Synapse and Fabric.
• Experience with Spark or Databricks.
• Proven ETL design and implementation experience.
• Experience with Terraform or similar automation tools.
• Excellent problem‑solving skills and clear communication.

Seniority level

• Not Applicable

Employment type

• Full-time

Job function

• Information Technology
• Software Development and IT System Data Services

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