At a Glance
- Tasks: Shape and build a modern cloud data platform while driving a major AWS migration.
- Company: Join a growing data function at a pivotal stage of transformation.
- Benefits: Up to £80,000 salary, strong benefits, and career development opportunities.
- Other info: Collaborative team environment with mentoring and progression focus.
- Why this job: Make a real impact on cutting-edge projects and influence technical direction.
- Qualifications: Strong hands-on data engineering experience and AWS data services expertise.
The predicted salary is between 80000 - 80000 £ per year.
A brand-new opportunity for a Senior Data Engineer to join a growing data function at a pivotal stage of transformation. This role offers the chance to shape and build a modern cloud data platform from the ground up, playing a key role in a large-scale on-prem to AWS migration while influencing technical direction and best practice across the team.
You'll join a collaborative team of data engineers (junior through to senior) and work closely with leadership to:
- Drive a major cloud migration to AWS, including modern lakehouse architecture
- Build and optimise scalable data pipelines and ETL processes
- Partner with analysts, data scientists, and wider business teams to unlock data value
Strong hands-on data engineering experience within a complex environment.
Solid experience working with AWS data services (e.g. proven track record working on large-scale data platform or migration projects).
Experience building robust, production-grade pipelines with testing / CI/CD exposure.
Someone who challenges the status quo, with a data-first, problem-solving mindset.
Opportunity to influence and shape a modern data platform from an early stage.
Exposure to cutting-edge projects, including future AI/ML initiatives.
Strong focus on career development, mentoring and progression.
Manchester (Hybrid - 2 days onsite). Up to £80,000 + strong benefits package.
If you're a true hands-on engineer who enjoys solving complex problems and wants to make a real impact in a growing data function, this is an excellent opportunity to step into a high-visibility senior role.
Senior Engineer, Data Engineering in Bolton employer: Harvey Nash
Join a forward-thinking company that prioritises innovation and collaboration, offering a unique opportunity for Senior Data Engineers to shape a modern cloud data platform during a transformative phase. With a strong emphasis on career development, mentoring, and exposure to cutting-edge projects, including AI/ML initiatives, you'll thrive in a supportive work culture that values your contributions and encourages professional growth. Located in Manchester, this hybrid role allows for a balanced work-life dynamic while being part of a team dedicated to unlocking the value of data.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering in Bolton
✨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 Engineer, Data Engineering 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 Engineer, Data Engineering 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 Engineer, Data Engineering in Bolton
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.
