Job Description
You will play a key role as a data engineer in developing and refining the data infrastructure needed to effectively handle and process data from various sources. In order to support our aim to transform sustainable home energy solutions, your primary focus will be on creating, managing, and debugging data pipelines and storage solutions that guarantee data accuracy, consistency, and accessibility.
What you will do:
Design, develop, and maintain robust data pipelines to integrate data from multiple sources such as our heat pump sensors, HubSpot, Zuper, and external providers.
Implement and optimize ETL (Extract, Transform, Load) processes to ensure efficient data flow and transformation.
Ensure efficient ingestion and storage of our high-volume sensor data to support real-time analytics and application needs.
Monitor and troubleshoot data pipeline issues to ensure reliability and performance.
Develop and maintain comprehensive documentation of data pipelines, processes, and systems.
Ensure data quality and integrity by implementing data validation and cleansing processes.
Collaborate with data architects, data scientists, and analysts to build efficient, high-performance data solutions.
Optimize data storage and retrieval processes to improve performance and reduce costs.
Integrate external data sources, such as weather data and dynamic electricity pricing, to support comprehensive analytics.
Support the implementation of a self-service data environment, empowering stakeholders to easily access and analyze data.
Assist in maintaining data security and compliance with data governance policies.
What you’ll need:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
4+ years of experience in data engineering, with a proven track record in designing and implementing scalable data pipelines and storage solutions.
Strong understanding of data management principles, ETL processes, and database design.
Proficiency in SQL, Python, and relevant programming languages.
Experience with cloud platforms such as AWS, and familiarity with cloud-native data services and tools like Kinesis, S3, Glue, Kafka, and Athena.
Experience with IoT data processing and real-time data streams.
Knowledge of data governance, data security, and compliance best practices.
Excellent problem-solving skills and ability to troubleshoot complex data issues.
Experience in a fast-paced environment, preferably in a startup or growth-stage company.
Strong communication skills and ability to work effectively with cross-functional teams.
Why Quatt:
A competitive monthly salary, excluding holiday allowance (8%) that we pay on top of your monthly salary.
We like to see you! We are flexible in when and where you work, but we encourage you to come to our vibrant office in Amsterdam multiple times a week.
Whenever you come to the office, we cover your travel costs, either by car or with an NS business card.
Recharge with 25 paid holiday days a year to contribute to our mission in a healthy way.
Work abroad for up to 1 month per year to visit family and friends and escape the Dutch weather.
We support your career growth and encourage all Quatters to pursue new learning and career opportunities within the company.
Join our authentic Quatt culture where you can truly be yourself and meet people from all over the world. We have over 30 nationalities working with us!
Enjoy a healthy, vegetarian/vegan lunch at our office, freshly made by our in-house chef.
Have fun at our themed monthly Quatt drinks and seasonal parties.
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