At a Glance
- Tasks: Take ownership of a modern data platform and influence its architecture.
- Company: Fast-growing business investing heavily in data capabilities.
- Benefits: Competitive salary, hybrid work, and opportunities for leadership development.
- Other info: Collaborative environment with clear growth opportunities.
- Why this job: Make a real impact on data-driven decision-making and shape your role.
- Qualifications: Experience in data engineering with skills in Python, SQL, and cloud platforms.
The predicted salary is between 65000 - 80000 £ per year.
Location: Newcastle/ Hybrid
Salary: £65,000-£80,000 + benefits
We're partnering with a fast-growing, ambitious business that's investing heavily in its data capability and looking for a Senior Data Engineer to take ownership of its modern data platform. This is a rare opportunity to join a business where data is central to decision-making and where you'll have genuine influence over the technology, architecture, and future direction of the platform. Rather than inheriting a rigid environment, you'll be empowered to improve, optimise and shape the way data engineering is delivered.
Tech Stack
- Snowflake
- AWS
- Python
- SQL
- SQLMesh / dbt
- BigQuery
Why This Role?
- Real ownership of an established cloud data platform
- Significant influence on technical direction and best practice
- Opportunity to work closely with Product, Engineering and business stakeholders
- A fast-paced, collaborative environment where your impact is visible
- Clear opportunity to develop leadership responsibilities as the data function grows
- Freedom to help shape the role around your strengths and career ambitions
This is an opportunity to go beyond day-to-day engineering. You'll have the autonomy to influence architecture, improve the platform, work closely with stakeholders across the business, and play a key role in building out the data capability as it grows. Perfect for someone who enjoys ownership, wants greater leadership exposure, and is looking for a role that can evolve with their ambitions.
Interested? Please get in touch today.
Senior Data Engineer in Newcastle upon Tyne employer: Harvey Nash
Join a dynamic global banking organisation that prioritises innovation and employee development. With a collaborative work culture, comprehensive benefits, and ample opportunities for professional growth, this role as a SWIFT / Payments Project Manager offers a chance to make a significant impact in the financial sector while enjoying a supportive environment in a thriving location.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Newcastle upon Tyne
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Harvey Nash!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer at Harvey Nash.
✨Leverage Professional Networks
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 Harvey Nash.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Harvey Nash, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer in Newcastle upon Tyne
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 Harvey Nash, 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 Harvey Nash. 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 Harvey Nash
✨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 Harvey Nash!
✨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.
