At a Glance
- Tasks: Design and build scalable data and AI solutions for analytics and automation.
- Company: Join a digital insurance provider aiming to be the best in the UK market.
- Benefits: Attractive salary, flexible working, competitive bonuses, and private medical insurance.
- Other info: Dynamic team culture focused on growth, recognition, and professional development.
- Why this job: Be part of innovative projects that enhance customer engagement and drive business success.
- Qualifications: Experience with Snowflake, SQL, Python, and cloud-based data platforms.
The predicted salary is between 26159 - 31972 £ per year.
We're a digital insurance provider with ambitious plans to become The Best and Biggest in the UK market.
Over the past few years, we've made significant investments in our data and tech capabilities, particularly within our CIO function.
Our CIO team is at the frontp…
We're proud of the journey we're on as a company and know that our continued success will rely on the contribution of our talented colleagues.
The CIO team plays a crucial role in this journey, working on cutting-edge projects that enhance our digital presence and improve customer engagement.
We provide insurance to nearly four million customers, but we know there's even bigger opportunity out there.
The fact you're now reading this job advert means we've tempted you to find out more about #lifeat HD - we really hope you like what you see, and you'll join us to share in the success of the exciting chapter that lies ahead.
We understand some people may not apply for jobs unless they feel they tick every box.
If you are excited about joining us and think you have some of what we are looking for, even if you're not 100% sure, we would love to hear from you.
Our CIO team is always looking for passionate individuals who are eager to make a difference and contribute to our success.
- Job Details
- As a Data & AI Engineer you will design, build and support scalable data and AI solutions that enable analytics, automation, and AI-driven business outcomes.
- Develop and optimise Snowflake-based data platforms to support reporting, data science, and machine learning workloads.
- Create automated, reliable, and observable data pipelines that meet engineering, governance, and security standards.
- Collaborate with stakeholders and technical teams to promote best practices in SQL, Python, data modelling, and AI development.
- Drive the adoption of AI, machine learning, and generative AI technologies to deliver innovative business solutions.
- Continuously improve platform performance, scalability, and operational efficiency while supporting AI governance and MLOps best practices.
Skills we would love you to have
- Experience working with Snowflake, including SQL development, data modelling, orchestration, and integration management.
- Experience with Azure services, including Azure Data Factory, Azure Dev Ops, Azure Functions, and Logic Apps.
- Proficiency in Python for data processing, automation, and solution development.
- Understanding of cloud-based data platforms and modern data architecture principles.
- Exposure to AI, machine learning, or generative AI technologies and their practical application within business environments.
- Experience working within Agile delivery frameworks such as Scrum or Kanban.
- Strong analytical and problem‑solving skills, with a focus on delivering high‑quality solutions.
- Experience with modern data engineering tools such as Airflow, dbt, Dataform, or similar technologies.
- Excellent communication and stakeholder management skills, with the ability to explain technical concepts to non‑technical audiences.
What we offer
Join us and you'll find a different way of doing things.
We call it the 4Cs.
We focus on getting it right for our colleagues, customers, company, and community.
As one of our colleagues, you'll be helping to drive our growth, so in return, we'll give you all the support, training and development you need.
Not to mention plenty of recognition and rewards, and the scope to voice your ideas and put them into practice.
- Reward
- Salary - Attractive salary based on experience + car allowance (pay reviews also completed each year)
- Flexible Working - We champion a flexible and hybrid working approach so please speak to your recruiter to discuss in more detail, including days in the office and at home.
- Competitive Bonus Scheme - All colleagues are eligible for our annual 4Cs performance bonus, which is usually paid in March.
The scheme is based on Hastings' performance against our business goals and your own personal performance.
- Physical Wellbeing - as a Band 4 colleague, Hastings pay for you to receive private medical Insurance (also known as PMI) This gives you flexibility and convenience to see a specialist or consultant and allows you to decide when and where you will be seen.
- Financial Wellbeing - As well as providing you with 4x your salary with our life assurance cover and income protection at no extra cost, pension contribution match up to 10%, we are proud to provide you with an AWARD WINNING package which includes - discounts and cashback at everyday retailers and on our own products, fee free independent mortgage advice, and free access to financial wellbeing support.
- Mental Wellbeing programme - At Hastings Direct we understand that mental heal
- #J-18808-Ljbffr
Data & AI Engineer in Bexhill-on-Sea employer: hastingsdirect
Hastings Direct is an exceptional employer that prioritises employee growth and well-being, offering a flexible hybrid working model and a competitive bonus scheme. With substantial investments in technology and a strong focus on nurturing talent within a supportive culture, employees have the opportunity to thrive in their roles while contributing to meaningful projects that impact millions of customers. Join us in Leicester, Bexhill, or London, and be part of a dynamic team that values innovation and collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Engineer in Bexhill-on-Sea
✨Get Involved in Data Science Meetups
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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 hastingsdirect.
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We think you need these skills to ace Data & AI Engineer in Bexhill-on-Sea
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 hastingsdirect, 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 hastingsdirect. 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 hastingsdirect
✨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 hastingsdirect!
✨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.
