Lead Data Engineer in London

Lead Data Engineer in London

London Full-Time 70000 - 90000 £ / year (est.) No working from home possible
TPXImpact Holdings PLC

At a Glance

  • Tasks: Lead the design and optimisation of data pipelines for efficient data flows.
  • Company: Join a forward-thinking company that values innovation and collaboration.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic team environment with excellent career advancement potential.
  • Why this job: Be a key player in shaping data engineering practices and making an impact.
  • Qualifications: Experience in data engineering and strong leadership skills.

The predicted salary is between 70000 - 90000 £ per year.

About The Role

Job level: 10

We are looking for a Lead Data Engineer to join our Data Engineering and Analytics practice. In this role, you will:

  • Lead the design, development, management and optimisation of data pipelines to ensure efficient data flows, recognising and sharing opportunities to reuse data flows where possible.
  • Coordinate teams and set best practices and standards when it comes to data engineering principles.
  • Champion data engineering across projects and clients.

Lead Data Engineer in London employer: TPXImpact Holdings PLC

As a Lead Data Engineer at our company, you will thrive in a dynamic and innovative work culture that prioritises collaboration and continuous learning. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages you to lead impactful projects while championing best practices in data engineering. Located in a vibrant area, our office provides a stimulating atmosphere that fosters creativity and growth, making us an excellent employer for those seeking meaningful and rewarding careers.

TPXImpact Holdings PLC

Contact Details:

TPXImpact Holdings PLC Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Engineer in London

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 TPXImpact Holdings 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 Lead Data Engineer at TPXImpact Holdings 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 TPXImpact Holdings PLC.

Apply Directly through Our Website

When you find a suitable opening like Lead Data Engineer at TPXImpact Holdings 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 Lead Data Engineer in London

Problem-Solving Skills
SQL
Communication Skills
Python
Data Pipeline Development
Data Engineering
API Integration

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 TPXImpact Holdings 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 TPXImpact Holdings 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 TPXImpact Holdings 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 TPXImpact Holdings 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.