At a Glance
- Tasks: Enhance data pipelines and develop new features for the European power market.
- Company: Join Kpler, a dynamic company transforming global trade information.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with experts in a supportive and innovative environment.
- Why this job: Make an impact in the energy sector with cutting-edge technology.
- Qualifications: BSc/MSc in computer science and 3-5 years of data engineering experience.
The predicted salary is between 50000 - 65000 £ per year.
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.
The Power team is responsible for a product covering the whole product related to the European power market. 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.
Your mission is to:
- 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.
- Enrich the product and participate in the development of new features.
- Build and improve monitoring and alerting tools and dashboards.
- Contribute 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.
This could be a match if you have/are:
- 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.
- Great communication, ability to work asynchronously with team members in other countries.
- Curious to learn about the domain.
- Strong command of written and spoken English.
Desirable experience:
- Have experience with AWS (or another cloud provider), using Terraform.
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Knowledge on hexagonal architecture and medallion architecture.
- Used monitoring solutions (Datadog, Grafana, etc...).
We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination. Are you ready to embark on this exciting journey with us?
We make things happen. We act decisively and with purpose, going the extra mile.
We build together. We foster relationships and develop creative solutions to address market challenges.
We are here to help. We are accessible and supportive to colleagues and clients with a friendly approach.
Our People Pledge: Don’t meet every single requirement? Research shows that women and people of colour are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.
Kpler is committed to providing a fair, inclusive and diverse work environment. 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 welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.
By applying, I confirm that I have read and accept the Staff Privacy Notice.
Data Engineer - Power employer: Kpler
At Kpler, we pride ourselves on being an exceptional employer, offering a vibrant work culture that champions innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment where diverse perspectives are valued. Located in a dynamic market, our team enjoys the unique advantage of working with cutting-edge technology while contributing to impactful solutions in the commodities and energy sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Power
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Engineer - Power
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.
