Engineering Manager - Data

At Sensorfact, our mission is to eliminate all waste in the industry.
As Engineering Manager for our Data Engineering team, your contribution to this mission will be profound.
Data is at the core of what we do.
Our data engineers work tirelessly to ingest and store data from many types of IoT sensors, process it in real time and expose it to other teams and enable rapid discovery of valuable insights for our customers.
You will empower a growing team of 5+ talented Data Engineers and shape the future of our company with data.
The team works across different value streams (e.g.
Energy or Maintenance), which are multidisciplinary product teams that deliver end-to-end value to our customers.
You will be the glue that holds the team together, building a community of practice and standardizing ways of working where appropriate.
We believe in leading by example, so we will also ask you to contribute hands-on in one of the smaller teams - albeit on non-urgent and plannable tasks.
Sensorfact is a booming scale-up:
growth is a constant.
The way we are organized is a snapshot of today's needs, so your job description might have to evolve to meet the challenges of tomorrow.
One thing is for certain, you will learn a lot, and have a blast whilst doing so… If this excites you, apply today!
Your profile At Sensorfact you will:

Inspire, mentor, and manage a team of Data Engineers, fostering a culture of collaboration, ownership, transparency and above all psychological safety
Drive hiring and onboarding processes to grow the team with top talent
Provide technical guidance and career development opportunities to your team members
Contribute hands-on ~1/3 of your time to one of the smaller value streams (reducing as your team grows)
Partner with the Principal Data Engineer to oversee the design, implementation, and optimization of our data pipelines and infrastructure
Work closely with Product Managers of the different value streams to facilitate timely delivery of new features and identify staffing needs
Collaborate with fellow Engineering Managers and the VP of Technology to advance strategic projects that cross domains, such as cloud cost management, ingestion architecture and self-service analytics
Establish best practices in data engineering and software development, emphasizing scalability, code quality, testing, and continuous integration
The key technologies you will be working with
Our AWS stack is focused on ingesting raw sensor data into Kafka, stream processing it using Flink and exposing it through Clickhouse.
Batch processing is done using Prefect and ECS, on-demand services are deployed using Lambda.
We have a powerful internal GraphQL API to expose data to end users, managed by Hasura in combination with Typescript.
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 are very flexible about working from home, 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 to the job
MSc (or PhD) in Computer Science, Distributed Systems, A.I., or a comparable field
Proven experience (5+ years) in data engineering, with at least 2+ years in a leadership or management role
Strong technical background, including Python and modern cloud and data technologies (e.g., Kafka, Flink, Spark, DBT, AWS Lambda, Airflow, Prefect, etc.)
Expertise in managing relational/OLAP databases like Postgres, Redshift, or Clickhouse
Proven experience in working with state of the art batch and/or stream processing frameworks
Solid understanding of software engineering best practices and data infrastructure design.
Excellent communication and stakeholder management skills
Fluent in English; experience in a scale-up environment is a plus

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;
A powerful company laptop (Macbook Pro or Lenovo Thinkpad);
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.
About us
Sensorfact offers a unique combination of hardware, software and personal advice to help small to medium-sized enterprise customers in the manufacturing industry optimize their production processes.
Originally starting out as an energy management solution, we have since expanded to other utilities like gas, air, water and steam, predictive maintenance and overall equipment effectiveness.
Our impact is substantial:
over 2000 of our customers are using Sensorfact to minimize downtime, eliminate waste and reduce their carbon footprint.
Our mission is to reduce energy waste in industrial companies.
We do this by making energy saving easy.
Therefore, we have developed a plug & play Energy Management System that consists of wireless sensors and a clear online platform.
Our algorithms analyse the data and detect potential energy savings.
This way we help our customers to reduce their energy bill by 5-10%.
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