Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a dynamic team to build data sources, flows, and automated processes.
- Company: Be part of a leading financial services client undergoing an exciting data transformation.
- Benefits: Enjoy a competitive salary, strong benefits package, and flexible working options.
- Why this job: Contribute to innovative projects while leveraging cutting-edge technology like Snowflake and GenAI.
- Qualifications: Strong SQL knowledge, experience with Snowflake, Azure, and Python required.
- Other info: Open to diverse skillsets; ideal for those passionate about data engineering.
The predicted salary is between 60000 - 85000 £ per year.
A leading Financial Services organisation is going through a large scale data transformation and is looking to hire several Senior Data Engineers on a permanent basis. The roles offer a base salary between £55,000 and £75,000 + a strong benefits package and very flexible working.
They are looking for curious, commercially minded Data Engineers who want to develop their skills in modern data technologies and play a part in the organisation’s expansion into AI. You will be involved in building scalable data pipelines, improving data models and supporting automation and analytics across the business.
Snowflake, Databricks and Azure sit at the core of the platform, but the client is technology agnostic and open to candidates from other modern data environments who are keen to grow into newer technologies.
Key experience
- Experience with Snowflake or similar cloud data platforms
- Azure experience including Data Factory and DevOps
- Experience with Python, PySpark and other modern data engineering tools
- Experience working in an Agile environment
If you are an experienced Data Engineer with the relevant background, please respond to this advert in the first instance for review.
#J-18808-Ljbffr
Senior Data Engineer employer: Mccabe & Barton
Contact Detail:
Mccabe & Barton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in data engineering, especially around Snowflake and Azure. Being able to discuss recent developments or innovations in these technologies during your interview can really set you apart.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of how you've tackled complex data challenges in the past. This will demonstrate your strategic mindset and ability to adapt to new data sources and processes.
✨Tip Number 3
Network with current or former employees of the company on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which you can leverage during your interview.
✨Tip Number 4
Prepare to discuss your experience in Agile environments. Be ready to explain how you've contributed to team projects and adapted to changing requirements, as this is crucial for the role.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Snowflake, Azure, and Python. Use specific examples of projects where you've built data sources or automated processes to demonstrate your skills.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company's data transformation journey. Mention how your strategic mindset and curiosity align with their goals, and provide examples of how you've successfully implemented new data flows or structures in previous roles.
Showcase Relevant Projects: If you have worked on relevant projects, consider including a section in your CV that outlines these experiences. Highlight your role in building and managing data ecosystems, especially with Snowflake and Azure, to make your application stand out.
Proofread Your Application: Before submitting your application, take the time to proofread your CV and cover letter. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Mccabe & Barton
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, Snowflake, Azure, and Python during the interview. Prepare specific examples of projects where you successfully implemented these technologies, as this will demonstrate your expertise and problem-solving abilities.
✨Understand the Business Context
Research the financial services industry and understand how data transformation impacts business operations. Be ready to discuss how your role as a Senior Data Engineer can contribute to the company's goals and drive innovation.
✨Prepare for Agile Methodology Questions
Since the company values Agile experience, be prepared to discuss your previous work in Agile environments. Share examples of how you collaborated with cross-functional teams and adapted to changing requirements to deliver successful data solutions.
✨Demonstrate Curiosity and Strategic Thinking
The ideal candidate is naturally curious and strategically minded. During the interview, ask insightful questions about the company's data initiatives and express your enthusiasm for exploring new data sources and automated processes that can enhance their operations.