Data Engineer (f/m/x)
10243 Berlin, Germany
Enpal GmbH
Solaranlage ab 128€ mtl. | Komplettpaket inkl. Montage | Kaufen oder mieten | Speicher, Wallbox & E-Auto möglich | Jetzt 19% Preisvorteil sichernCompany Description
At Enpal, we are pursuing the dream of building the largest renewable community in Europe. How do we make that happen? Enpal finally simplifies providing solar energy: We rent out solar systems, electricity storage, and wall boxes at an all-inclusive rate, supplemented by a favorable green electricity tariff; all intelligently connected to form an integrated overall solution. True to the motto "digital, decentralized, and 100% renewable", our heart beats both for the rapid development of a company and for combating the greatest challenge of our generation - climate change.
Our highly ambitious team around serial entrepreneur Mario Kohle is supported by experienced investors like Alexander Samwer (Picus Capital) and Lukasz Gadowski (Team Europe, Delivery Hero). In addition, we were able to bring Princeville Climate Technology (advised and funded among others by Leonardo DiCaprio) and Peter Rive (SolarCity) on board. As the first green unicorn in Germany, we see it as our duty to continuously drive forward our mission of green energy for all. Be part of our success story and change the world by joining us!
Job Description
Disrupting the conservative energy market, that’s what Enpal is all about! We offer speed, agility, and steep career opportunities. Our vision is to make sustainable solar energy available to everyone. Join us to develop your professional skills, take part in the solar-energy revolution, and let us take ownership of the sustainable change we want to see in the world together!
As Data Engineer in our Data Platform Team, you will be responsible for working with Enpal’s data collection and projects. You will be in charge of developing and improving our data infrastructure and evaluating new tools and services we can use to extend our data offerings.
Your Responsibilities:
- Create and maintain data ingestion ELT pipelines to the Data Warehouse
- Ensure high data integrity and implement solutions to constantly improve data reliability and quality
- Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure and SQL technologies
- Assemble large, complex, high-quality data sets that meet business requirements
- Work together with members of Business Intelligence and efficiently communicate both solutions and results to stakeholders
- Develop efficient solutions to problems alongside cross-functional communication with other project team members
Qualifications
- You have 2+ years experience as a Data Engineer or a similar role
- You have working knowledge of Python & SQL
- You acquired prior experience with one of the cloud platforms (Azure, AWS or GCP) and its services
- You possess a deep understanding of databases
- High level of written and spoken English to work in an international team
Additional Information
- The chance to be part of a fast-growing and future-oriented startup: we are one of the biggest players in the solar business.
- Help to make the world a bit better: we are all about green energy.
- Direct impact on our corporate success and exciting career opportunities: leave your footprint.
- Close cooperation with the management team while shaping Enpal’s tech DNA: you will be part of our first Tech Team.
- Work with the best in the industry and grow with us: there’s plenty of room for your ideas.
- A great work environment in our Berlin office, or focused work from home - you decide. Your location should be in Germany or at least willingness to relocate. At the moment we don't offer full remote Jobs.
At Enpal, we are proud of the diversity of our team. No decisions are made based on skin color, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability, or age, either during recruitment or employment. Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Business Intelligence Data warehouse ELT GCP Pipelines Python SQL
Perks/benefits: Career development Startup environment
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