Analytics Engineer W/M/D
Remote, ES
Data 📊 – Data Analysis /
Full-time /
Remote
Help us use technology to make a big green dent in the universe!
Kraken powers some of the most innovative global developments in energy.
We’re a technology company focused on creating a smart, sustainable energy system. From optimising renewable generation, creating a more intelligent grid and enabling utilities to provide excellent customer experiences, our operating system for energy is transforming the industry around the world in a way that benefits everyone.
It’s a really exciting time in energy. Help us make a real impact on shaping a better, more sustainable future.
Kraken Customer
What we do: build the most AI-driven, innovative, forward-thinking platform for energy management. From optimizing resources to delivering cost-effective, exceptional customer experiences through advanced Customer Information Systems (CIS), billing, meter data management, CRM, and AI-driven communications, Kraken is powering the next wave of innovation in the energy industry.
Why we do it: future energy will not look like energy as we know it today. We need to not just think about our future, but build for it. Now.
About the role
The Kraken Data Model team are responsible for delivering high quality, reliable and easy to understand data to Kraken's clients. We are on a mission to ensure that our clients can gain all the essential insights from the data out of Kraken via curated data tables, which we document, version and protect from unplanned changes. We are a team with combined disciplines across data engineering and analytics. Your focus within this team will be on helping to grow our offering of curated models to increase the coverage of our product..
Industry is at the beating heart of the business for Kraken's clients, with hundreds of thousands of messages and processes occurring every day. Your focus will be on understanding how well we're enabling our clients to interact with their respective markets, defining metrics and benchmarks for success, and working with stakeholders across the business and tech teams to improve their products.
Our data stack
- Postgres source databases
- AWS cloud infrastructure
- Databricks Delta Lake for data lake and warehouse storage and querying
- DBT(™) for data modelling and transformations
- Python as main scripting language
- Airflow for task scheduling
- Kubernetes for orchestration
- Github, Circle CI for version control, deployment and monitoring
You’ll
- Become a subject matter expert on the Kraken data model and contribute actively to the design of its client-facing layer
- Ensure reliability and stability of our models by employing good practice in code conventions and usage of testing
- Be exposed to new technologies and tools, and receive guidance on developing your skills
- Build core datasets capable of answering key business questions
- Work on strategic projects end to end
- Work closely with a broad range of teams at Kraken
- Develop your engineering skills
What you'll have
- Strong level of data skills/analytics experience
- Comfortable with energy/utilities and other relevant subject areas
- Learns fast and is enthusiastic about learning new technologies & processes
- Be highly proficient in DBT and SQL, capable of working on large complex datasets while seeing the big picture
- Experience building data pipelines and working with engineering teams
- Curious and self driven - when faced with a new problem is capable of seeking out an answer without lots of help and support
- Highly data literate and numerate - can make sense of lots of data and shape it into a coherent story
- Great communicator, can explain complex technical problems to non-technical teamsHas experience with some of the below technologies:
- A scripting language (ideally Python) Writing accurate and performant queries in SQL
- Working in a modern cloud data warehouse environment
- Working collaboratively on codebases using git
Kraken is a certified Great Place to Work in France, Germany, Spain, Japan and Australia. In the UK we are one of the Best Workplaces on Glassdoor with a score of 4.7. Check out our Welcome to the Jungle site (FR/EN) to learn more about our teams and culture.
Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. If you have any specific accommodations or a unique preference, please contact us at inclusion@kraken.tech and we'll do what we can to customise your interview process for comfort and maximum magic!
Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Kraken, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. U.S. based candidates can learn more about their EEO rights here.
Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice, (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you’ve read, understood and consent to these terms
