Infogrid is helping protect the planet and improve the lives of billions of people by making every building a smart building.

Our goal is to be the global provider for connected devices in smart buildings. We already handle millions of events every day from tens of thousands of sensors and we’d like you to help us scale that by an order of magnitude over the coming months.

Sustainability is at our heart; buildings account for 39% of global carbon emissions and we’re creating real solutions to impact this!

We are still early in our journey but have already achieved a lot; we raised a successful series A funding round, grew 5x in employee numbers within 12 months, and voted one of the top 10 most flexible places to work.

Want to know more about how we'd building Infogrid? Our CTO wrote a blog post about this.

As an engineer within the Data Assets team, you will help build the world richest and most extensive model of resource and energy usage in building. To do this we will build a next generation serverless data warehouse blending a wealth of data sources.

These models will underpin our entire data strategy: allow our ML engineers to build cutting edge products for our customers; enable us to build a strong data culture where data underpins every decision we make and help build a data platform which can grow to support billions of IoT sensors across the world.

Our tools and technology will adapt as we scale and you will play a central role in defining the technical architecture, working with peers from across Data and Tech. We will implement governance and security, ensuring data is reliable and accurate, all whilst growing our data pipelines by orders of magnitude.

We are looking for a data engineers who want to work on the most interesting data available at a very high volume!

What will you be doing? Glad you asked!

• Use a variety of serverless ETL & ELT tools to build data pipelines.
• Design and champion best practise in data modelling. 
• Develop a deep understanding of the domain and build data models that are the right fit.
• Build tools to govern retention, control access and ensure compliance with relevant regulations.
• Support your colleagues to enable a happy productive team.

• Skills developing data pipelines using modern data engineering tools like Spark, AWS [Batch/Glue ETL,Step Functions, Lambda] DBT, Airflow.
• Fluent building data pipelines in SQL, pyspark, python, pandas Deep understanding of how to scale pipelines to support big data volumes (+1B rows/ +1TB data).
• Experience in applying the AWS toolset to solving data engineering problems.  
• People oriented - keen to support and help others.

❤️ Feel good about your work: Infogrid is actively helping big companies reduce their environmental footprint. We also offset everyone’s carbon footprint.

🤸 We’re flexible: We encourage remote working and offered flexible working hours before COVID and we’ll keep that flexibility afterwards.

📚 Learn and get promoted: Join us at the start of our journey - we’re growing quickly and believe in promoting from within. You can learn and grow your career here.

🌟 Improve yourself: We give everyone a day per month to focus on personal development.

🧑🏽‍🤝‍🧑🏽 Make friends: Everyone here is lovely.

🏠 Added bonus: We give everyone options in the company.

🚀 Join a legitimately secure tech start-up: $15.5M funding round is great of course but more importantly we have real paying customers and a good, growing revenue stream.

And we'll do everything we can to support you during your application. If you need us to make any adjustments to your recruitment process, speak to our recruitment team who will be happy to support you.