Data Engineer (m/f)

Reduce energy consumption and eliminating wastage are among the main goals of the European Union. New Public Building must be NZEB by the end of 2018, New Commercial Buildings at 2020 and all existing ones until 2030. European Energy DG says that there is an opportunity of 50% savings with measures applied to the building shell, equipments and user’s behaviour. Bandora is an ingest engine towards energy efficiency inside a building to manage equipments and users. Gathering inputs from BMS, user’s experience feedbacks, regular sensors (light, temperature, humidity, space occupancy) and Financials data from Facilities Managers, we analyse the energy demand, the way it’s used and wasted in a Building. Using predictive algorithms, we're able to reconfigure BMS setup automatically and in real time, in order to reduce energy costs while increasing users comfort and satisfaction with their workplace. Bandora is based on machine learning technologies, so it applies recurrently new measures to reduce up to 40% the energy consumption.

About the job

Bandora is looking for a Senior Data Engineer with enthusiasm and skills to join the team. We are searching for an experienced candidate that has a broad knowledge of the field and can pick the right tool for each task. If you like owning your work, having initiative, making meaningful impact on the company game plan and learning new things, this can be a great opportunity.

At Bandora we are creating the future of energy management for smart buildings. Buildings are one of the top energy consumers in the world amounting for around one third of the global CO2 emissions. At the same time, maintaining comfortable indoor conditions is often a challenge, especially for commercial buildings. Bandora’s cloud-based platform gathers real-time IoT data from systems inside a building, and provides dashboards, analytics, anomaly detection and automation with the goal of eliminating energy waste and improving occupant comfort. Our mission is smarter, greener, and more comfortable buildings.


Partner with the software and data science teams in developing and maintaining our data pipeline and infrastructure.
Work with a diversity of data types and sources that must feed into a wide range of applications including dashboards, analytics and monitoring, AI engines, etc.
Own the data infrastructure: evaluate performance and quality, suggest improvements and actively contribute to the design of the data platform and the data architecture.

Skills & Experience:

MS Degree in Computer Engineering, Computer Science, or a similar area.
3 years experience.
Broad knowledge of the data engineering field and the available technologies and tools.
(Strong foundation (data structures, data modeling, relational databases, SQL).)
Advanced programming skills with Python.
Experience with NoSQL databases, especially document and graph. Know-how with MongoDB is a big plus.
Experience with AWS is a big plus.
Experience with data stream or big data frameworks is a plus.
Fluent in English with good communication skills.


Commitment to your development (we enjoy sharing and learning).
Close relationship with business; high visibility and recognition.
Work in a non-hierarchical environment.
Flexible home-or-office schedule.
A lot of potential for growth along with the company.

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Data Engineer (m/f)

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