At a Glance
- Tasks: Design and optimise scalable data platforms while solving complex technical problems.
- Company: Join a leading financial technology team in Newcastle.
- Benefits: Competitive salary, performance bonus, and clear progression opportunities.
- Other info: Collaborative culture focused on technical excellence and continuous learning.
- Why this job: Make a direct impact on mission-critical systems in a fast-paced environment.
- Qualifications: Strong programming skills and experience with large-scale data systems required.
The predicted salary is between 80000 - 140000 £ per year.
Location
- Newcastle upon Tyne (Office-based – 5 days per week)
- Join a High-Performance Financial Technology Team
They are building one of the UK's leading data engineering teams to power the next generation of financial products and investment technology.
We're looking for exceptional Senior Data Engineers who enjoy solving complex technical problems at scale and want to work alongside some of the brightest engineers in the industry.
This is a full-time, office-based role in our Newcastle headquarters, offering the opportunity to have a significant impact on business-critical systems in a fast-paced financial environment.
What You'll Do
- Design, build and optimise scalable data platforms and pipelines.
- Develop high-performance ETL/ELT processes for large and complex datasets.
- Build reliable, resilient and secure data infrastructure.
- Work closely with software engineers, quantitative researchers and business stakeholders.
- Improve data quality, governance and observability across the platform.
- Drive engineering best practices, code quality and technical excellence.
- Mentor junior engineers and contribute to the team's technical direction.
Requirements
We're looking for candidates with exceptional academic and technical credentials, including:
- A minimum 2:1 degree from a leading university.
- Extensive experience as a Data Engineer or in a similar data platform engineering role.
- Strong programming skills in Python, Java or Scala.
- Expert SQL knowledge and experience working with large-scale data systems.
- Experience with modern cloud platforms (AWS, Azure or GCP).
- Strong knowledge of distributed data processing technologies such as Spark, Kafka or Flink.
- Experience designing scalable data warehouses and data lake architectures.
- Excellent communication skills and a collaborative mindset.
- Ability to thrive in a high-performance, fast-moving environment.
What We Offer
- Competitive salary of
- £80,000–£140,000
, depending on experience.
10% annual performance bonus.
- Opportunity to work on challenging, large-scale financial data platforms.
- Direct impact on mission-critical systems.
- Clear progression opportunities in a growing engineering organisation.
- A collaborative culture focused on technical excellence and continuous learning.
- Working Arrangement
- This is a fully office-based role
, with attendance required five days per week at our Newcastle office.
If you're an ambitious engineer who enjoys solving difficult technical problems and wants to work with exceptional colleagues in a high-performance financial environment, we'd love to hear from you.
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Senior Data Engineer (Newcastle) employer: Oliver Bernard
At Oliver Bernard, we pride ourselves on being an excellent employer that fosters innovation and collaboration in the tech space. Our hybrid work model allows for flexibility while still providing opportunities for meaningful face-to-face interactions in our London office. We are committed to employee growth, offering continuous learning opportunities and a supportive work culture that values creativity and teamwork, making us an ideal place for passionate Full Stack Engineers to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (Newcastle)
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Oliver Bernard.
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We think you need these skills to ace Senior Data Engineer (Newcastle)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Oliver Bernard, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Oliver Bernard. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Oliver Bernard
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Oliver Bernard!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
