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For Companies At a Glance
- Tasks: Build and manage reliable data flows for reporting and analytics.
- Company: Join a forward-thinking company focused on data-driven solutions.
- Benefits: Attractive salary, flexible working options, and growth opportunities.
- Why this job: Shape the future of data and make a real impact in analytics.
- Qualifications: Strong SQL and Python skills, plus experience with Azure data services.
- Other info: Collaborative environment with exciting projects and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Data specialist needed to build and run dependable data flows that power reporting, analytics, and operational insight. This role focuses on moving, shaping, and managing data across a cloud data platform, ensuring it’s accurate, timely, and easy to use.
What you’ll do:
- Build and maintain scalable data feeds from internal systems, APIs, and external sources
- Create efficient data transformations and structures for analytics and business use
- Manage automated workflows, monitoring, and recovery to keep data moving reliably
- Deploy changes safely across non-prod and production environments
- Apply data validation, documentation, and governance standards
- Work closely with analysts and engineers to deliver end-to-end data solutions
What you’ll bring:
- Strong SQL and Python skills
- Hands-on experience with workflow orchestration tools
- Solid understanding of data modelling for analytics
- Experience with Azure data services (e.g. Synapse, Data Factory)
- Familiarity with CI/CD, version control, and multi-environment deployments
Data Engineer in Stockport employer: US3 Consulting
Contact Detail:
US3 Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Stockport
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field on LinkedIn or at meetups. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and Azure services. We all love a good visual, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. We recommend practising your problem-solving skills and being ready to discuss your experience with workflow orchestration tools and data modelling.
✨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 individuals who can help us build reliable data solutions.
We think you need these skills to ace Data Engineer in Stockport
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL and Python skills, as well as your experience with Azure data services. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data engineering. Share specific examples of how you've built and maintained data flows or managed automated workflows in the past. This is your chance to shine!
Showcase Your Technical Skills: When filling out your application, make sure to mention any hands-on experience you have with workflow orchestration tools and CI/CD practices. We love seeing candidates who are familiar with the latest technologies!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at US3 Consulting
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to data flows and transformations.
✨Showcase Your Workflow Experience
Prepare examples of how you've managed automated workflows and monitored data processes. Highlight any experience with orchestration tools and how you've ensured data reliability in your previous roles.
✨Understand the Cloud Environment
Familiarise yourself with Azure data services like Synapse and Data Factory. Be prepared to explain how you've deployed changes across different environments and the importance of CI/CD in your work.
✨Collaboration is Key
Since this role involves working closely with analysts and engineers, think of examples that demonstrate your teamwork skills. Discuss how you've collaborated to deliver end-to-end data solutions and the impact it had on your projects.