Dataiku Solution Architect in Barbican

Dataiku Solution Architect in Barbican

Barbican Full-Time 58500 - 71500 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the architecture and design of a cutting-edge Independent Price Verification platform.
  • Company: Join a global leader in refined product trading with innovative solutions.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on innovation and collaboration.
  • Why this job: Shape the future of trading technology and make a significant impact.
  • Qualifications: Experience with Dataiku applications and strong architectural design skills.

The predicted salary is between 58500 - 71500 £ per year.

We are seeking an experienced Solution Architect with Dataiku application and integration expertise to lead the architecture and technical design of a modern Independent Price Verification (IPV) platform supporting a global Refined Product Trading organization.

The Solution Architect will define the end-to-end architecture for a...

Dataiku Solution Architect in Barbican employer: Everforth Quinnox

As a leading player in the global Refined Product Trading sector, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. Our Dataiku Solution Architect role offers not only competitive benefits and opportunities for professional growth but also the chance to work on cutting-edge technology in a dynamic environment. Join us to be part of a team that values creativity and encourages continuous learning, all while making a meaningful impact in the industry.

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Contact Details:

Everforth Quinnox Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Dataiku Solution Architect in Barbican

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 Everforth Quinnox!

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 Dataiku Solution Architect at Everforth Quinnox.

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 Everforth Quinnox.

Apply Directly through Our Website

When you find a suitable opening like Dataiku Solution Architect at Everforth Quinnox, 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 Dataiku Solution Architect in Barbican

Dataiku Expertise
Architecture Design
Technical Design
Independent Price Verification (IPV)
Application Integration
End-to-End Architecture
Refined Product Trading Knowledge

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 Everforth Quinnox, 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 Everforth Quinnox. 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 Everforth Quinnox

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 Everforth Quinnox!

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.