Engineering Manager - Data
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:
At Sensorfact, our mission is to eliminate all waste in the industry. As Engineering Manager for our Data Engineering team. 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 Data Engineers, working 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 you are encouraged to contribute hands-on at times to keep in touch with your team’s developer experience.
Sensorfact is a booming scale-up: change 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!
Inspire, mentor, and manage a team of 8 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 when needed
Provide technical guidance and career development opportunities to your team members
Contribute hands-on in ways complementary to your role, such as by improving architecture and tooling or technical leadership of a product team
Partner with our Principal Software 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:
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 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
Visit our website and follow us on LinkedIn, Instagram, and Glassdoor to stay updated on our journey.