At a Glance
- Tasks: Design and build scalable data and AI solutions for innovative business outcomes.
- Company: Fast-growing digital insurance provider with a focus on innovation and collaboration.
- Benefits: Attractive salary, flexible working, competitive bonuses, and comprehensive wellbeing support.
- Other info: Inclusive culture with excellent career growth opportunities and fun social events.
- Why this job: Join a dynamic team driving cutting-edge projects that impact millions of customers.
- Qualifications: Experience with Snowflake, SQL, Python, and a passion for AI and data engineering.
The predicted salary is between 27776 - 30354 £ 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 forefront of driving innovation and ensuring our technology infrastructure supports our ambitious goals. We’ve nurtured our 4Cs culture, fostering collaboration, creativity, and continuous improvement.
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.
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. Responsibilities include:
- Developing and optimising Snowflake-based data platforms to support reporting, data science, and machine learning workloads.
- Creating automated, reliable, and observable data pipelines that meet engineering, governance, and security standards.
- Collaborating with stakeholders and technical teams to promote best practices in SQL, Python, data modelling, and AI development.
- Driving the adoption of AI, machine learning, and generative AI technologies to deliver innovative business solutions.
- Continuously improving 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 DevOps, 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:
- Attractive salary based on experience + car allowance (pay reviews also completed each year).
- Flexible Working – We champion a flexible and hybrid working approach.
- Competitive Bonus Scheme - All colleagues are eligible for our annual 4Cs performance bonus.
- Physical Wellbeing – Hastings pays for private medical insurance.
- Financial Wellbeing – Life assurance cover, income protection, pension contribution match up to 10%, and an award-winning package.
- Mental Wellbeing programme – A range of support to help you keep yourself well.
- 27 days annual leave + bank holidays, with the option to buy or sell one of your contracted weeks.
- Access to health care cash back plans, dental plans, discounted health assessments, Cycle to work and tech schemes, and social events throughout the year.
Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status. We’re committed to creating an inclusive environment where everyone has the opportunity to succeed.
Data & AI Engineer employer: Hastings Direct
Hastings Direct is an exceptional employer for Actuarial Graduates, offering a dynamic work environment in London that fosters professional growth and innovation. With a strong focus on employee well-being, the company provides competitive benefits including flexible working arrangements, a robust bonus scheme, and access to mental health resources. The collaborative culture encourages the development of cutting-edge actuarial skills through hands-on experience with modern tools like Python and AI, making it an ideal place for motivated individuals to launch their careers.
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We think this is how you could land Data & AI Engineer
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We think you need these skills to ace Data & AI 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!
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Craft a Tailored Cover Letter:For a full-time role at Hastings Direct, 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 Hastings Direct. 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 Hastings Direct
✨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!
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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 Hastings Direct!
✨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.
