Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us as a Data Engineer, maintaining and deploying data applications and services.
- Company: Be part of an innovative financial services company in Manchester that values creativity and collaboration.
- Benefits: Enjoy a competitive salary, generous holiday allowance, and a hybrid working model.
- Why this job: Work with cutting-edge technologies and make a real impact in the financial sector.
- Qualifications: Proficiency in SQL, strong Python skills, and familiarity with Azure Data Fabric are essential.
- Other info: This role offers a unique chance to work with Azure Data Fabric and enhance your data management skills.
The predicted salary is between 39000 - 52000 £ per year.
Are you a skilled Data Engineer looking for an exciting opportunity in the financial services sector? Join our innovative team in Manchester and be part of a company that values creativity, collaboration, and cutting-edge technology.
What You Will Be Doing
As a Data Engineer, you will be at the heart of our data operations, supporting the maintenance and deployment of applications and services at the data layer. You will work with a variety of data sources, including Microsoft SQL databases, batch file data, and Microsoft Fabric data lakes. This role offers a unique chance to work with Azure Data Fabric, positioning you at the forefront of data technology.
Key Responsibilities
- Maintain and deploy data applications and services.
- Manage and optimise Microsoft SQL databases, batch file data, and Microsoft Fabric data lakes.
- Leverage Azure Data Fabric to enhance data management and analytics capabilities.
Key Skills and Experience
- Proficiency in SQL (SSIS/SSRS)
- Strong knowledge of Python
- Experience with Azure and Azure DevOps
- Familiarity with Azure Data Fabric is highly desirable
Benefits
- Competitive salary up to £52,500
- Generous holiday allowance
- Hybrid working model (2 days a week in the office)
- Opportunity to work with state-of-the-art technologies in a supportive and dynamic environment
If you are passionate about data engineering and ready to make a significant impact in the financial services industry, we would love to hear from you!
Data Services Engineer employer: 1370939
Contact Detail:
1370939 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Services Engineer
✨Tip Number 1
Familiarise yourself with Azure Data Fabric and its capabilities. Since this role highlights the importance of Azure Data Fabric, having a solid understanding of how it works and its applications will set you apart from other candidates.
✨Tip Number 2
Network with professionals in the financial services sector. Attend industry meetups or webinars to connect with current data engineers and learn about their experiences. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your SQL and Python skills through practical projects. Create a portfolio that demonstrates your ability to manage databases and manipulate data using these technologies, as hands-on experience is highly valued in this role.
✨Tip Number 4
Prepare for technical interviews by practising common data engineering problems. Focus on SQL queries, data manipulation techniques, and scenarios involving Azure services to ensure you're ready to impress during the interview process.
We think you need these skills to ace Data Services Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and Azure. Use specific examples from your past work that demonstrate your proficiency in these areas, especially any projects involving Microsoft SQL databases or Azure Data Fabric.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how it aligns with the company's innovative approach. Mention your familiarity with Azure Data Fabric and how you can contribute to their data operations.
Showcase Relevant Projects: If you have worked on relevant projects, either professionally or personally, include them in your application. Describe your role, the technologies used, and the outcomes achieved, particularly focusing on data management and analytics.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in a data engineering role.
How to prepare for a job interview at 1370939
✨Showcase Your SQL Skills
Since proficiency in SQL is crucial for this role, be prepared to discuss your experience with SQL databases. Bring examples of past projects where you optimised database performance or implemented SSIS/SSRS solutions.
✨Demonstrate Your Python Knowledge
Highlight your Python skills during the interview. Be ready to explain how you've used Python in data engineering tasks, such as data manipulation or automation, and consider sharing code snippets if relevant.
✨Familiarise Yourself with Azure Data Fabric
As familiarity with Azure Data Fabric is highly desirable, make sure to research its features and benefits. Be prepared to discuss how you would leverage it to enhance data management and analytics capabilities in your role.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about challenges you've faced in previous roles and how you overcame them, particularly in relation to data management and application deployment.
