At a Glance
- Tasks: Build and support innovative data products using modern tech and collaborate with a talented team.
- Company: Join one of the UK's top personal lines insurers known for its excellence.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic, collaborative environment with a focus on innovation and career development.
- Why this job: Make an impact by working on cutting-edge AI and machine learning projects.
- Qualifications: Experience with Databricks or Snowflake, strong Python and SQL skills required.
The predicted salary is between 63000 - 77000 £ per year.
We are recruiting for a Data Engineer on behalf of one of the UK's most recognised and celebrated personal lines insurers.
The successful candidate will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects.
Together, they will design and build modern machine learning and AI services that support analytics and improve products across the business.
It's a chance to work on a very modern tech stack and learn from an incredible team.
Key Responsibilities
- Building and supporting data products within modern data platform.
- Designing and delivering solutions with engineers, scientists and product teams.
- Developing and optimising data pipelines across the analytics platform.
- Integrating data from varied sources with strong quality standards.
- Maintaining orchestration, monitoring and performance of data components.
- Improving engineering processes across the wider data community.
- Promoting high coding and data practice standards.
- Experimenting with emerging data, ML and AI technologies.
- Partnering with architects on data product designs.
- Working collaboratively in multi-functional agile squads.
- Supporting ML and Gen AI infrastructure and workflows.
- Key Requirements
- Passion for building scalable, resilient cloud data platforms.
- Strong experience with Databricks or Snowflake on AWS.
- Proven Python skills, including Spark and Airflow expertise.
- Advanced SQL skills and end-to-end data modelling experience.
- Experience building batch and real-time data integrations.
- Hands-on CICD skills with Git, Jenkins or similar.
- Ability to ingest, cleanse and structure large, diverse datasets.
- Knowledge of Terraform or similar Ia C tools.
- Experience with Docker and Kubernetes is beneficial.
- Exposure to production Generative AI is an advantage.
- Strong collaboration skills and a proactive attitude.
We do not retain any personal information without your permission. Please refer to our data protection policy on our official website for more information.
Data Engineer in Reigate employer: Jobiqo
Bromley Council is an exceptional employer, dedicated to fostering a supportive and inclusive work environment where employees can thrive. With a strong commitment to professional development, flexible working arrangements, and a generous benefits package, including a local government pension scheme and unique discounts, the Council prioritises employee well-being and career growth. Located in the vibrant Bromley Civic Centre, you will be part of a team that plays a crucial role in shaping the future of the borough while enjoying the balance of urban and suburban life.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Reigate
✨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 Jobiqo!
✨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 Jobiqo.
✨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 Jobiqo.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Jobiqo, 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 in Reigate
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 Jobiqo, 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 Jobiqo. 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 Jobiqo
✨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 Jobiqo!
✨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.
