At a Glance
- Tasks: Own data solutions from design to delivery and solve complex technical challenges.
- Company: Join RDT, a forward-thinking company focused on innovative data solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with opportunities to work on cutting-edge technologies.
- Why this job: Make an impact by enhancing data systems and influencing technical direction.
- Qualifications: Strong SQL skills and experience with Azure data ecosystem required.
The predicted salary is between 63000 - 77000 £ per year.
Take ownership. Solve complex problems. Build what comes next. RDT is searching for a Data Engineer who enjoys turning technical challenges into reliable, scalable data solutions.
Working across development environments, customer deployments and analytics products, you will deliver enhancements across our data estate, create proof-of-concept solutions and take them through to production. You will also support live managed-service environments and help evolve our platforms through improved tooling, migrations and continuous improvement.
This role will give you the scope to:
- Own data and database work from design through to delivery
- Influence solution architecture and technical direction
- Improve deployment automation, monitoring and platform performance
- Provide subject-matter expertise to multidisciplinary engineering teams
You will need strong SQL development and database design skills, together with practical knowledge of Microsoft’s Azure data ecosystem. Relevant certification or equivalent professional experience is expected.
Bonus points for experience with ETL or ELT, Power BI, CI/CD pipelines, Infrastructure as Code, Python, PySpark, query optimisation, Agile delivery or production systems.
Data Engineer in Kings Hill employer: RDT Limited
RDT Limited fosters a collaborative work culture where employees can engage in innovative projects within the insurance technology sector. The company emphasizes continuous learning and development, providing opportunities for professional growth. With a focus on exciting client engagements, RDT Limited is committed to shaping the future of insurance technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Kings Hill
✨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 RDT Limited!
✨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 RDT Limited.
✨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 RDT Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at RDT Limited, 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 Kings Hill
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 RDT Limited, 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 RDT Limited. 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 RDT Limited
✨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 RDT Limited!
✨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.
