Senior Data Engineer
Ready to scale your sales career in a high-growth scale up where your results drive real world change?
We’re Sensorfact, Europe’s #1 smart monitoring platform for the industry, on a mission to make industry smarter, cleaner, and more efficient. Every day, our technology helps thousands of manufacturers cut energy waste, reduce costs, and lower carbon emissions through intelligent data insights and automation.
Today, we’ve joined forces with ABB, a global leader in electrification and automation. This partnership has propelled us onto the world stage, enabling us to expand rapidly and help more businesses optimize their energy efficiency, cut costs, and make a positive impact on the planet.
Apply today and help shape a smarter and more sustainable industry.
What you will do:
As a Senior Data Engineer, you are the glue that makes it all possible, from raw sensor measurement to actionable insight for the customer. You will drive the development of:
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.
Being part of a scale-up, you are proactive in prioritising and solving the needs of our fast growing group of customers.
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. 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.
What you bring:
MSc (or PhD) in Computer Science, Distributed Systems, A.I., or a comparable field
Senior (4+ years) data engineer fluent in Python
Experience working with streaming platforms such as Kafka, as well as stream processing frameworks such as Spark Streaming, Flink, Storm, etc.
Experience with modern cloud and data technologies such as Spark, Kubernetes, Docker, AWS Lambda, AWS Fargate, etc.
Experience with JVM-based languages such as Scala or Kotlin 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
Are fluent in English
Why you will love working here:
Grow your career as we scale with competitive performance based earnings
Pension Contribution of 4% with an employer sponsored retirement plan
Public transport allowance via NS business card
Home Office Budget up to €500 via Workwize
Employee Referral Incentives up to €3,000 for a successful referral
27 Vacation Days to rest and recharge
Remote Work Flexibility up to 2 months/year (with manager approval)
Structured Onboarding & Mentorship support
Social Events like Sensorfact Week & team dinners
Office Perks like unlimited coffee, snacks, and free Friday lunch
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