Lead Data Engineer & Technical Team Lead in Leeds

Lead Data Engineer & Technical Team Lead in Leeds

Leeds Full-Time 63000 - 77000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead a team to design and scale data pipelines and analytics platforms.
  • Company: Hippo Digital Limited, a forward-thinking company in Leeds.
  • Benefits: Competitive salary, mentorship opportunities, and a dynamic work environment.
  • Other info: Join a growing data practice with exciting projects for diverse clients.
  • Why this job: Make a real impact in data engineering while leading a talented team.
  • Qualifications: Experience in data engineering and strong leadership skills.

The predicted salary is between 63000 - 77000 £ per year.

Hippo Digital Limited in Leeds is seeking a Lead Data Engineer to join our growing data practice.

You will lead a multidisciplinary team to design, build and scale data pipelines, governance, and analytics platforms for public and private sector clients.

You will act as a technical leader, mentor engineers, and drive strategic data engineering deliverables, while maintaining strong client relationships and promoting best practices in CI/CD, cloud, and data modelling.

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Lead Data Engineer & Technical Team Lead in Leeds employer: Hippo Digital Limited

Hippo Digital Limited is an excellent employer for Senior Java Engineers, offering a vibrant work culture that fosters collaboration and innovation. With a strong focus on employee growth, you will have opportunities to enhance your skills while working on impactful digital solutions in a supportive environment. Located in a dynamic area, the company provides unique advantages such as flexible working arrangements and a commitment to work-life balance, making it a rewarding place to advance your career.

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Contact Details:

Hippo Digital Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Engineer & Technical Team Lead 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 Hippo Digital Limited!

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 Lead Data Engineer & Technical Team Lead at Hippo Digital Limited.

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 Hippo Digital Limited.

Apply Directly through Our Website

When you find a suitable opening like Lead Data Engineer & Technical Team Lead at Hippo Digital Limited, 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 Lead Data Engineer & Technical Team Lead in Leeds

Communication Skills
Python
Problem-Solving Skills
Data Engineering
Data Governance
SQL
ETL/ELT Processes

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 Hippo Digital Limited, 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 Hippo Digital Limited. 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 Hippo Digital Limited

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 Hippo Digital Limited!

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.