At a Glance
- Tasks: Build and manage data pipelines to deliver actionable insights for innovative financial solutions.
- Company: Join HomeServe Finance, a fresh venture under the globally recognised HomeServe brand.
- Benefits: Enjoy competitive salary, healthcare, flexible work, and professional development opportunities.
- Other info: Be part of a dynamic startup environment with excellent career growth potential.
- Why this job: Shape the future of finance while contributing to global carbon reduction targets.
- Qualifications: Experience in Data Engineering with tools like DBT, Spark, Python, and AWS.
The predicted salary is between 72000 - 88000 £ per year.
Welcome to HomeServe Finance, the newest innovation under the globally recognised HomeServe banner. As a fresh venture, we aim to solve the problem of CO2 emissions created by home heating and cooling. Using our parent company’s robust infrastructure and extensive reach, we will redefine the point-of-sale lending industry, making new renewable technology accessible and affordable to every homeowner. HomeServe, known worldwide for its commitment to exceptional service and customer satisfaction, brings decades of experience and a trusted reputation to our startup.
At HomeServe Finance, we are dedicated to developing secure, accessible, and tailored financial solutions that meet the planet’s need to transition away from fossil fuel home heating and accelerate the transition to efficient, renewable energy-powered homes. Joining us means not just a job but a chance to shape the future of finance and contribute to the global carbon reduction targets. We value creativity, integrity, and a collaborative spirit. If you want to significantly impact a dynamic environment where everything remains to be built, HomeServe Finance is your platform to excel and grow. We are committed to creating financial services that combine the best of technology and human touch while upholding the high standards of responsibility that the lending industry demands.
Location: Hybrid, London/Leeds/Walsall/Paris/Lyon
Type: Full-time
As a Data Engineer at HomeServe Finance, a pioneering startup of HomeServe, you will play a role in delivering and managing the data pipelines that deliver timely, accurate data to management and engineering teams. Providing actionable data, and analytics tools to business analysts and engineering teams to enable accurate, actionable information. This position offers a unique opportunity to be part of a new venture within a well-established international group, where you can bring cutting-edge financial solutions to the market and contribute to our rapid growth.
Our cloud-native stack includes AWS, Terraform, Docker, DBT and Python technologies.
Required Qualifications:
- Experience of Data Engineering using tools such as DBT, Spark, Python, AWS Athena, Presto, AWS Quicksight
- Bachelor's degree in Computer Science, Statistics, Engineering, Science or a related field.
- Experience with languages such as SQL, Python and similar
- Great numerical and analytical skills
Key Responsibilities:
- Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems
- Re-engineer manual data flows to enable automation, scaling and repeatable use
- Write ETL (extract, transform, load) scripts and code to ensure the ETL process performs optimally
- Work with business teams to map business requirements to available data and propose opportunities based on existing and potential data pipelines
- Develop business intelligence reports that can be reused
- Build accessible data for analysis
- Build tooling to enable AI and ML pipelines with data
At HomeServe Finance, we value our employees and are committed to providing a comprehensive benefits package that enhances their work-life balance and well-being:
- Competitive Salary: Offering attractive compensation commensurate with experience and the market.
- Healthcare Coverage: Comprehensive private medical plan
- Retirement Plans: HomeServe Money pension plan with company matching to help you invest in your future.
- Paid Time Off: Generous vacation, sick leave, and holiday policies.
- Professional Development: Opportunities for professional growth and advancement, including access to training programs and workshops to enhance your skills.
- Flexible Work Arrangements: Remote work and flexible working hours to accommodate personal needs and productivity.
Data Engineer employer: HomeServe UK
HomeServe Finance is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong focus on employee growth, you will have access to cutting-edge technology and the opportunity to shape impactful solutions in the FinTech space, all while enjoying the flexibility of a hybrid work model. Join us to be part of a forward-thinking team that values your contributions and supports your professional development.
StudySmarter Expert Advice🤫
We think this is how you could land 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 HomeServe UK!
✨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 at HomeServe UK.
✨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 HomeServe UK.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at HomeServe UK, 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
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 HomeServe UK, 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 HomeServe UK. 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 HomeServe UK
✨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 HomeServe UK!
✨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.
