Sensorfact

Your mission

Sensorfact’s mission is to eliminate all industrial energy waste. Our machine-level sensors allow our customers to track their energy consumption at 30 second granularity, and our extensive analysis suite provides them with personalised savings advice. We continually expand our sensor suite, from electricity to water, gas and steam. Recently we have launched vibration sensors, allowing us to help customers reduce maintenance downtime.

As a Data Engineer, you are the glue that makes it all possible, from raw energy measurement to actionable insight for the customer. You will:

• Stream processing pipelines to process incoming sensor data and persist it in our time series database
• Advanced real-time detection of machine faults and energy waste, powered by machine learning
• Batch processing pipelines and analytics microservices that provide personalised advice to our customers over our GraphQL API
• Tooling for state of the art machine learning operations (MLOps), serverless and event-driven architecture and cloud services in AWS.

The key technologies you will be working with

Our AWS stack is focused on ingesting raw sensor data into Kafka, stream processing it using Kafka Streams and Flink and exposing it through Clickhouse. Batch processing is done using Prefect and Fargate, on-demand services are deployed using Lambda. We have a powerful internal GraphQL API to expose data to end users, managed by Hasura.

How we do it

We do Scrum with 2-week sprints, sprint planning and retrospective sessions. Our stand-ups are at 9:30 and if you're not there you can chime in over Meet. The course is determined by quarterly goals, set collaboratively by business, data science, development and product teams. We know how important it is to get in the zone and write beautiful code so we schedule most meetings in the morning and keep the afternoon quiet (we try). We work from home about 70% of the time, but we enjoy meeting each other in the office regularly.

You will be in the Data team, which along with IoT and Platform make up the technology departments. The course is determined by quarterly goals, set collaboratively with the teams themselves. We don't believe in silos, so you will work in a multidisciplinary team with colleagues from multiple departments, represented by a product manager.

Your profile

What you will bring to the job

• MSc (or PhD) in Computer Science, Distributed Systems, A.I., or a comparable field
• Are fluent in English
• Medior (2+ years) data engineer fluent in Python
• Experience with modern cloud and data technologies such as Spark/Flink, Kafka, Kubernetes, Docker, AWS Lambda, AWS Fargate, etc.
• Experience with stream processing on Kafka or a comparable technology is a plus
• Experience with batch processing pipelines e.g. with Airflow or Prefect is a plus
• Mastery of software engineering best practices (version control, testing, code quality, CICD)
• Have knowledge of relational (OLAP) database systems such as Postgres, Redshift, Bigquery, or time series databases such as Clickhouse or InfluxDB

Why us?

• You can play a key role in creating a smart and sustainable industry;
• We have an open culture where you get a lot of freedom and where taking ownership is valued;
• We like to have you around, but you also get the opportunity to work remote (abroad) for up to 2 months per year;
• You get to choose your own laptop or opt in for a reimbursement when you bring your own;
• Legendary lunches, drinks and other activities with colleagues (our office manager Elise exceeds our expectations every time);

…And we obviously offer you the usual: a contract for 32-40 hours per week, employer contribution to your pension, 27 holidays, €500 contribution to set up/improve your home office and a NS business card to get to our great office. #LI - CHIA

About us

Our mission is to eliminate all industrial waste. We do this by helping SMEs be more sustainable with our plug & play Energy/Gas/Water Management System that consists of sensors and a clear online platform. Our algorithms analyse data and detect potential energy savings, helping our customers reduce their energy bill by 5-10%. 

In addition, our Predictive Maintenance solution helps customers save time on maintenance and prevent breakdown by monitoring the condition of their machines.