At a Glance
- Tasks: Shape a modern cloud data platform and drive AWS migration.
- Company: Join a dynamic team at the forefront of data transformation.
- Benefits: Competitive salary, flexible working, and opportunities for mentorship.
- Other info: Collaborative environment with excellent growth potential.
- Why this job: Make a real impact by solving complex engineering challenges.
- Qualifications: Strong data engineering experience and advanced PySpark skills required.
The predicted salary is between 60000 - 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.
The Opportunity
- 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
- Take ownership of complex engineering challenges in a fast-paced, evolving environment
- Mentor and coach engineers, supporting growth and knowledge sharing across the team
What They're Looking For
- Strong hands-on data engineering experience within a complex environment
- Advanced PySpark expertise (essential)
- Solid experience working with AWS data services (eg S3, Glue, Redshift, Lambda)
- Proven track record working on large-scale data platform or migration projects
- Experience building robust, production-grade pipelines with testing/CI/CD exposure
Senior Data Engineer employer: Harvey Nash Plc
Join a forward-thinking company that prioritises innovation and collaboration, offering a dynamic work culture where your contributions directly impact the transformation of our data function. With a strong focus on employee growth, you'll have access to mentorship opportunities and the chance to work alongside experienced professionals in a supportive environment. Located in a vibrant area, we provide a modern workspace that fosters creativity and teamwork, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨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 Plc!
✨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 Plc.
✨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 Plc.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Harvey Nash Plc, 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
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 Plc, 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 Plc. 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 Plc
✨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 Plc!
✨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.
