At a Glance
- Tasks: Transform complex data into actionable strategies and enhance data pipelines.
- Company: Join Kpler, a leading firm in global trade intelligence.
- Benefits: Competitive salary, supportive team, and opportunities for growth.
- Other info: Diverse team culture that values different perspectives and ideas.
- Why this job: Leverage cutting-edge tech to make a real impact in dynamic markets.
- Qualifications: BSc/MSc in computer science and 3-5 years of data engineering experience.
At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors. Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 850 experts from 69 countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success. This includes large datasets to retrieve, normalize and distribute to our users, and also offer different proprietary datasets such as real time availability computation or market forecasts on different time horizons, from intraday to long term. Enhance the different pipelines in place to retrieve data from external providers. Participate in expanding the coverage of the data retrieved to new markets or geographies. Build and improve monitoring and alerting tools and dashboards. Contributing towards good performance of our API which distributes the data to end users. Work together with Data Scientists and market experts with strong experience in this domain. Help the team build ambitious yet sustainable plans for growth and improvement. BSc/MSc in computer science, computer engineering or equivalent. Circa 3-5 years' of experience as a data focused Software Engineer. Significant experience working with Python (FastAPI is a plus). Working experience with Postgresql or similar data stores. Proficiency in building and consuming RESTful APIs. Comfortable working with Git, code reviews, and Agile methodologies. Understanding of performance optimization and caching strategies. Strong command of written and spoken English. Have experience with AWS (or another cloud provider), using Terraform Used monitoring solutions (Datadog, Grafana, etc...) We foster relationships and develop creative solutions to address market challenges. We are here to help Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. If you would like more information about how your data is processed, please contact us.
Ingegnere dei dati (f/m) employer: Kpler
Kpler is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about data analysis in the metals market. With a strong emphasis on employee growth, Kpler offers numerous opportunities for professional development and skill enhancement, particularly in a vibrant location that encourages networking and industry engagement. Join us to be part of a forward-thinking team where your contributions directly impact our clients and the broader market landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere dei dati (f/m)
✨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 Kpler!
✨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 Ingegnere dei dati (f/m) at Kpler.
✨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 Kpler.
✨Apply Directly through Our Website
When you find a suitable opening like Ingegnere dei dati (f/m) at Kpler, 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 Ingegnere dei dati (f/m)
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 Kpler, 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 Kpler. 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 Kpler
✨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 Kpler!
✨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.
