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- Tasks: Build and improve data pipelines for impactful analytics products.
- Company: Dynamic FinTech company revolutionising property risk and decisioning.
- Benefits: Competitive salary, bonus, hybrid work, and growth opportunities.
- Why this job: Make a real impact on a product driving 80% of company revenue.
- Qualifications: Experience with Databricks, PySpark, SQL, and data visualisation tools.
- Other info: Collaborative environment with mentoring and code review opportunities.
The predicted salary is between 72000 - 108000 £ per year.
Central London | Hybrid (2 days per week in the office)
Up to £95k + up to 10% bonus
We’re partnered with a UK-based FinTech building data and analytics products used by mortgage lenders to automate property risk and decisioning. They are now looking for a Senior Data Engineer level to join the Product team, working on the data layer behind customer reporting and analytics products. What’s particularly interesting about this role is that you’ll be working on an algorithmic product that contributes to around 80% of the company’s revenue, so there’s a real opportunity to make an impact.
This Senior Data Engineer role is hands-on, focused on building and improving data pipelines. There’s also the opportunity to influence how the team works through code reviews, mentoring and technical input. It’s a solid role for a Senior Data Engineer who wants to stay close to the tech while helping raise standards.
Responsibilities- Hands-on role focused on building and improving data pipelines.
- Influence how the team works through code reviews, mentoring and technical input.
- Proven experience working as a Senior Data Engineer
- Databricks, Delta Lake, and ETL pipelines
- PySpark, SQL, and Pandas
- Azure data and networking concepts
- Data visualisation tools (Power BI, Tableau, Metabase)
Please get in touch now for more information on the role and the company - emy@burnssheehan.co.uk
Senior Data Engineer employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the FinTech space, especially those who work with data engineering. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks, PySpark, and ETL pipelines. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and data visualisation tools. Practice common data engineering problems and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Senior Data Engineer role, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Databricks, Delta Lake, and ETL pipelines, as well as any relevant projects that showcase your skills in PySpark, SQL, and Pandas.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with the responsibilities of the role. Don’t forget to mention your interest in influencing team processes through code reviews and mentoring.
Showcase Your Impact: In both your CV and cover letter, be sure to include specific examples of how you've made an impact in previous roles. Whether it's improving data pipelines or contributing to revenue-generating products, we want to see how you can bring value to our team.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get you on our radar quickly!
How to prepare for a job interview at Burns Sheehan
✨Know Your Tech Stack
Make sure you’re well-versed in Databricks, Delta Lake, and ETL pipelines. Brush up on your PySpark, SQL, and Pandas skills, as these will likely come up during technical discussions. Being able to demonstrate your hands-on experience with these tools will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. This is especially important for a Senior Data Engineer role where you'll be expected to build and improve data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Understand the Business Impact
Since this role contributes significantly to the company’s revenue, it’s crucial to understand how your work as a Data Engineer impacts the business. Be ready to discuss how data-driven decisions can influence property risk and decisioning, and how you can contribute to the company's success.
✨Be Ready to Mentor
As a Senior Data Engineer, you’ll have the opportunity to influence the team through mentoring and code reviews. Think about your past experiences in guiding others and be prepared to share your approach to fostering a collaborative and high-standard working environment.
