At a Glance
- Tasks: Develop a cutting-edge system to revolutionise investment data management.
- Company: Join a dynamic team focused on innovative data solutions.
- Benefits: Competitive daily rate, hybrid work model, and professional growth opportunities.
- Other info: Collaborative environment that values your input and fosters career development.
- Why this job: Make a real impact in the investment sector with your data expertise.
- Qualifications: Experience with Snowflake, SQL, and Azure Data Factory is essential.
The predicted salary is between 60000 - 70000 £ per year.
Location: Warwick (Hybrid: On-site 2 days per week)
Contract Length: 6 Months (with scope for extension)
Daily Rate: £600 - £700 (Inside IR35)
About the Role: Join our client in an exciting journey to develop a cutting-edge system that will revolutionise how investment information is managed. As a Data Developer, you will be instrumental in centralising and visualising critical investment data, making it more accurate, consistent, and actionable for decision-making. Collaborate closely with the operational team to surface essential data for insightful dashboards that drive business success!
Key Responsibilities:
- Collaborate with operational teams to identify and surface key data for dashboards.
- Develop and implement data validation checks and quality control measures.
- Assist in modelling and structuring data in the new system for optimal visualisation.
- Provide technical expertise to enhance data reliability, traceability, and overall quality.
Essential Skills and Experience:
- Strong experience with Snowflake and Data Warehousing.
- Proficiency in SQL and Azure Data Factory.
- Familiarity with data flows, dimensional modelling, and Power BI.
- BA background highly advantageous.
- Knowledge of KQL and DAX is desirable.
Desirable Attributes:
- Experience in a regulated industry or with investment/financial data.
- Exposure to data visualisation tools like Power BI or Tableau.
- Understanding of business process mapping and data governance practises.
Why Join Us?
- Dynamic Work Environment: Be part of a collaborative team that values your input and expertise.
- Professional Growth: Opportunities to enhance your skills and take on new challenges.
If you are passionate about data and excited to make a difference in the investment sector, we want to hear from you! Bring your expertise and enthusiasm to our client's innovative project and help shape the future of data management.
How to Apply:
Ready to take the next step in your career? Submit your CV. Don't miss this opportunity to be part of something great! Join us in transforming data into actionable insights!
Data Developer in Warwick employer: Pontoon
Join a forward-thinking company in Warwick that champions innovation and collaboration, offering a dynamic work environment where your contributions as a Data Developer will be valued. With a strong focus on professional growth, you'll have the opportunity to enhance your skills while working on cutting-edge projects that transform investment data into actionable insights. Enjoy the benefits of a hybrid work model, fostering a healthy work-life balance while being part of a diverse and inclusive team dedicated to making a meaningful impact in the investment sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Developer in Warwick
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Pontoon before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Pontoon.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Pontoon.
We think you need these skills to ace Data Developer in Warwick
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Pontoon, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Pontoon, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Pontoon’s attention and show the tangible impact of your work.
How to prepare for a job interview at Pontoon
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Pontoon.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Pontoon.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Pontoon.
