At a Glance
- Tasks: Solve complex data challenges and build scalable data platforms.
- Company: Join a leading digital consultancy expanding its Engineering team.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Ideal for those passionate about innovative data solutions and teamwork.
- Why this job: Make a real impact by delivering secure and reliable data systems.
- Qualifications: 4+ years in Data Engineering, strong Python skills, and cloud experience.
The predicted salary is between 60000 - 70000 £ per year.
We're partnered with a multidisciplinary digital consultancy team who are expanding their Engineering function with talent Cloud Data Engineers. This role is ideal for someone who enjoys solving complex data challenges, building scalable data platforms, and working closely with architects, engineers and stakeholders to deliver systems that are secure, reliable and genuinely useful.
Required skills:
- 4+ years' experience in Data Engineering-related roles
- Strong experience in Python and Pandas
- Strong experience in Major Cloud providers, ideally AWS
- Experience working with Data Lakes/Warehouses/Meshes
- Strong experience with Snowflake, DBT and Terraform
Bonus points if you have experience working for Consultancies or working on Public Sector / Government projects!
Please note, you must be able to work full time in the UK, we cannot offer sponsorship for this role.
Senior Data Engineers in Leeds employer: Harvey Nash Group
Join a dynamic and innovative digital consultancy that values collaboration and creativity, offering a hybrid work model that promotes work-life balance. With a strong focus on employee development, you will have access to continuous learning opportunities and the chance to tackle exciting data challenges across various sectors. Our inclusive culture fosters teamwork and encourages you to make a meaningful impact in the world of data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineers in Leeds
✨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 Group!
✨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 Engineers at Harvey Nash Group.
✨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 Group.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineers at Harvey Nash Group, 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 Engineers in Leeds
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 Group, 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 Group. 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 Group
✨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 Group!
✨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.
