At a Glance
- Tasks: Dive into data, uncover insights, and create impactful data strategies.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Fast-paced environment perfect for those who thrive on challenges.
- Why this job: Make a difference by developing data products that drive real business results.
- Qualifications: 3+ years in data product development with strong Python skills.
The predicted salary is between 50000 - 70000 € per year.
Dive into complex datasets, extracting meaningful insights, and identifying patterns.
Collaborate with stakeholders to understand business requirements and translate them into actionable data strategies.
- Minimum of 3 years of hands-on experience in data product development.
- Strong understanding of data structures, algorithms, and statistical concepts.
- Proficiency in Python and ETL frameworks.
- Deep knowledge of data pipeline architectures and products such as Snowflake or similar.
- Experience with delivering data products to clients via APIs.
- Familiarity with data visualization tools.
- Knowledge of locating, assessing and integrating third party data-sets.
- Experience with machine learning techniques and libraries (e.g., regression, classification, clustering, neural networks).
- Solid understanding of AI concepts, including supervised and unsupervised learning.
- Knowledge of cloud computing platforms (e.g., AWS, GCP, Azure).
- Comfortable in fast-paced, entrepreneurial environment.
- Strong communication and teamwork abilities.
- Ability to deliver individually and as well as a part of the team.
- Excellent analytical, problem-solving, and critical thinking abilities.
Data Product Developer in London employer: Euronext
As a Data Product Developer at our innovative company, you will thrive in a dynamic and collaborative work culture that values creativity and analytical thinking. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages growth and exploration of cutting-edge technologies. Located in a vibrant area, our team enjoys a balance of work and life, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Developer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data product development projects. Include examples of how you've tackled complex datasets and delivered insights. This will give you an edge when chatting with hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python, ETL frameworks, and data pipeline architectures. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to show your enthusiasm for joining our team at StudySmarter.
We think you need these skills to ace Data Product Developer in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with data product development and any relevant tools you've used. We want to see your proficiency in Python, ETL frameworks, and data pipeline architectures right from the get-go!
Tailor Your Application:Don’t just send a generic application! Take the time to align your skills and experiences with the job description. We love seeing how you can translate complex datasets into actionable strategies that fit our needs.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your past projects and how they relate to the role. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Euronext
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets you’ve worked with. Be ready to discuss specific examples where you extracted insights or identified patterns. This will show your hands-on experience and understanding of data product development.
✨Brush Up on Technical Skills
Since the role requires proficiency in Python and ETL frameworks, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand.
✨Showcase Your Collaboration Skills
This position involves working closely with stakeholders, so highlight your teamwork abilities. Share examples of how you’ve translated business requirements into actionable data strategies, and how you’ve communicated complex concepts to non-technical team members.
✨Familiarise Yourself with Tools and Technologies
Make sure you know the tools mentioned in the job description, like Snowflake and various cloud platforms. If you have experience with data visualisation tools, be ready to discuss how you’ve used them to present data effectively.
