Data Engineer: End-to-End Pipelines & Data Products in Leeds

Data Engineer: End-to-End Pipelines & Data Products in Leeds

Leeds Full-Time 72000 - 88000 £ / year (est.) No working from home possible
Solera Holdings, LLC.

At a Glance

  • Tasks: Design and build scalable data pipelines and products for analytics.
  • Company: Join Solera, a leader in data solutions with a collaborative team.
  • Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
  • Other info: Be part of a dynamic team focused on innovation and excellence.
  • Why this job: Make an impact by delivering reliable data solutions that drive decisions.
  • Qualifications: Strong technical skills in data engineering and effective communication.

The predicted salary is between 72000 - 88000 £ per year.

Solera is seeking a Data Engineer to be a key member of the Service Delivery team, responsible for designing, building, and maintaining scalable data pipelines and data products that support analytics and operational decision‑making across the organisation. This role focuses on reliable, accessible data, working across a variety of data sources to deliver production‑grade solutions.

Strong technical and communication skills are essential to translate requirements into robust designs.

Data Engineer: End-to-End Pipelines & Data Products in Leeds employer: Solera Holdings, LLC.

CAP-Hpi Solera is an exceptional employer that fosters a dynamic and supportive work culture in Leeds, offering hybrid working arrangements that promote work-life balance. Employees benefit from comprehensive growth opportunities, including professional development and training tailored to enhance skills in the automotive sector, making it an ideal place for those seeking meaningful and rewarding careers.

Solera Holdings, LLC.

Contact Details:

Solera Holdings, LLC. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer: End-to-End Pipelines & Data Products 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 Solera Holdings, LLC.!

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 Data Engineer: End-to-End Pipelines & Data Products at Solera Holdings, LLC..

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 Solera Holdings, LLC..

Apply Directly through Our Website

When you find a suitable opening like Data Engineer: End-to-End Pipelines & Data Products at Solera Holdings, LLC., 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 Data Engineer: End-to-End Pipelines & Data Products in Leeds

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

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 Solera Holdings, LLC., 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 Solera Holdings, LLC.. 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 Solera Holdings, LLC.

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 Solera Holdings, LLC.!

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.