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- Tasks: Design and optimise data solutions on the Azure platform for impactful decision-making.
- Company: Join a leading software-as-a-service provider in the UK energy sector.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a difference by transforming data into actionable insights with cutting-edge technology.
- Qualifications: 3+ years in data engineering, strong SQL skills, and Azure experience.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
The predicted salary is between 28800 - 48000 £ per year.
This range is provided by Candour. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
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
Data Engineer in Wigan employer: Candour
Contact Detail:
Candour Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Wigan
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. You never know who might have the inside scoop on a Data Engineer role or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure, ETL pipelines, and data lakes. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and NoSQL knowledge. Be ready to discuss your experience with Azure services and how you've tackled data challenges in the past. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented Data Engineers like you to join our team!
We think you need these skills to ace Data Engineer in Wigan
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with Azure services and ETL processes. We want to see how your skills match the job description, so don’t be shy about showcasing your SQL expertise and any hands-on projects you've tackled.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. We love seeing candidates who can translate business needs into data solutions, so share examples of how you've done this in the past.
Showcase Your Problem-Solving Skills: In your application, highlight specific challenges you've faced in previous roles and how you overcame them. We value excellent problem-solving skills, so sharing these experiences will help us see your potential as a Data Engineer.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Candour
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and NoSQL skills, especially with Azure services like Synapse and Fabric. Be ready to discuss your hands-on experience with ETL processes and how you've optimised data solutions in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges. Think about specific instances where you translated business needs into effective data solutions, and be ready to explain your thought process during those situations.
✨Familiarise Yourself with Infrastructure as Code
Since automation is key for this role, make sure you can talk about your experience with Terraform or similar tools. Highlight any projects where you automated data infrastructure and the impact it had on performance and efficiency.
✨Communicate Clearly and Confidently
Practice explaining technical concepts in a way that's easy to understand. Clear communication is crucial, so think about how you can convey your ideas effectively, especially when discussing data quality, governance, and security.