Data Engineer (Mid-Senior)

EMPLOYMENT TYPE:

Permanent

COMPANY:
A leading international energy and fuel distributor.

LOCATION:

Warrington, England, United Kingdom

WORKING MODEL:

Hybrid 

JOB OVERVIEW:

We are looking for a Mid–Senior Data Engineer to support the design and delivery of modern, cloud-based data platforms. This role will focus on building scalable data pipelines, enabling advanced analytics, and supporting data-driven decision-making across the business.

You will work within a collaborative data team, contributing to architecture decisions, improving data quality and governance, and delivering reliable, production-ready data solutions across a range of cloud technologies.

DESCRIPTION OF POSITION:

• Design, build, and optimise scalable data pipelines using modern cloud platforms
• Develop and maintain robust data models, datasets, and data products
• Support the migration from legacy systems to modern cloud-based architectures
• Implement and maintain ETL/ELT processes using SQL, Python, and distributed processing frameworks
• Ensure data quality, integrity, and governance across all data assets
• Collaborate with BI, analytics, and data science teams to deliver high-quality data solutions
• Support reporting and analytics platforms, ensuring performance and scalability
• Contribute to CI/CD practices and automated deployment of data pipelines
• Monitor, troubleshoot, and optimise pipeline performance and cost
• Engage with stakeholders to understand requirements and translate them into technical solutions

KNOWLEDGE AND SKILLS:

• Strong SQL and Python skills for data engineering and transformation
• Solid understanding of data pipeline design, orchestration, and optimisation
• Experience with modern cloud data platforms (Azure, AWS, GCP)
• Familiarity with tools such as Databricks, Snowflake, or Microsoft Fabric
• Understanding of data modelling techniques and best practices
• Knowledge of data governance, data quality, and security principles
• Experience working with large-scale datasets and distributed systems
• Strong problem-solving skills and attention to detail
• Good communication skills and ability to work with cross-functional teams

QUALIFICATIONS REQUIRED:

Bachelor's degree in Computer Science, Data Engineering, or a related field

EXPERIENCE REQUIRED:

• 3–6+ years' experience in a Data Engineering or similar role
• Proven experience building and maintaining data pipelines in cloud environments
• Hands-on experience with SQL and Python in production environments
• Experience working with at least one major cloud platform (Azure, AWS, or GCP)
• Experience supporting analytics, BI, or data science use cases
• Exposure to CI/CD and version control practices

ADVANTAGEOUS SKILLS:

• Experience with Databricks, Snowflake, or Microsoft Fabric
• Exposure to real-time or streaming data technologies (e.g. Kafka, Event Hub)
• Experience with data lake or lakehouse architectures
• Familiarity with infrastructure-as-code tools (e.g. Terraform)
• Experience working in regulated or enterprise environments
• Exposure to machine learning models, ML pipelines, or supporting data science workflows
• Relevant cloud or data engineering certifications

**Please note: If you have not heard from us within 2 weeks, please consider your application unsuccessful.