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- Tasks: Design and deliver end-to-end data solutions using Microsoft Azure.
- Company: Join a forward-thinking company in the financial services sector.
- Benefits: Salary up to £55,000 plus bonus, fully remote or hybrid options.
- Why this job: Make a real impact from day one on exciting greenfield projects.
- Qualifications: 2+ years of experience with Azure, PySpark, SQL, and CI/CD pipelines.
- Other info: Great opportunity for career growth in a dynamic, agile team.
The predicted salary is between 42000 - 66000 £ per year.
This is an exciting opportunity for an Azure Data Engineer with PySpark, Python, and SQL skills (and ideally experience with Databricks) to take the next step in their career.
You’ll work on greenfield projects, designing and delivering end-to-end data solutions using Microsoft Azure best practices, with real ownership, modern tooling, and the chance to make a meaningful impact from day one!
Experience Required- 2+ years’ experience designing and building end-to-end data solutions within an enterprise environment on Microsoft Azure based projects.
- Good data engineering and database skills, including PySpark, SQL and Azure technologies such as Data Factory, Synapse, Databricks.
- Experience working with large, event-based datasets, with a solid understanding of the full data lifecycle and testing practices.
- Hands-on experience with CI/CD pipelines and delivering solutions in an agile, self-managing team environment.
Please note VISA Sponsorship is not available for this opportunity.
Data Engineer in Manchester employer: TCM Partners
Contact Detail:
TCM Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure, PySpark, or SQL. A friendly chat can lead to insider info about job openings that aren't even advertised yet!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure and Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you tackled challenges using CI/CD pipelines and agile methodologies.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented data engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, PySpark, and SQL. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for the position.
Showcase Your Projects: If you've worked on any greenfield projects or have experience with Databricks, make sure to mention them! We’re keen to see how you’ve applied your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at TCM Partners
✨Know Your Tech Stack
Make sure you brush up on your Azure, PySpark, and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've designed and delivered end-to-end data solutions in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Understand the Data Lifecycle
Familiarise yourself with the full data lifecycle and testing practices. Be prepared to explain how you ensure data quality and integrity throughout the process, as this will demonstrate your thorough understanding of data engineering.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, the tools they use, or their approach to agile methodologies. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
