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- Tasks: Build scalable data pipelines and support automation across the business.
- Company: Leading Financial Services organisation undergoing a major data transformation.
- Benefits: Competitive salary, strong benefits package, and flexible working options.
- Why this job: Join a dynamic team and expand your skills in modern data technologies and AI.
- Qualifications: Strong SQL skills and experience with cloud data platforms like Snowflake or Azure.
- Other info: Opportunity to work in an Agile environment with excellent career growth potential.
The predicted salary is between 55000 - 75000 £ 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 organisations 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- Strong SQL skills
- 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.
Senior Data Engineer in City of London employer: Allegheny County Economic Development
Contact Detail:
Allegheny County Economic Development Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in City of London
✨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 job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Snowflake, Azure, or Python. 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 your technical knowledge and soft skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your strong SQL skills and any experience with Snowflake or Azure, as these are key for us.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our transformation journey. Show us your curiosity and commercial mindset!
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Share examples of building scalable data pipelines or using modern data tools like Python and PySpark. We love seeing practical applications of your skills.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Allegheny County Economic Development
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Snowflake, Azure, and Python. Brush up on your SQL skills too, as they’ll likely test your knowledge during the interview.
✨Show Your Curiosity
Demonstrate your curiosity about data engineering and AI. Prepare questions that show you’re eager to learn and grow within the role. This will highlight your commercially minded approach and willingness to adapt to new technologies.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills in an Agile environment. Think of examples from your past experience where you built scalable data pipelines or improved data models, and be ready to discuss them in detail.
✨Cultural Fit Matters
Research the company culture and values of the organisation. Be prepared to discuss how your personal values align with theirs, as they’re looking for candidates who not only have the right skills but also fit well within their team.
