2+ years of relevant experience in backend development with a focus on data engineering, API integration, or event-driven systems
Degree in Computer Science, Data Science, Software Engineering, Electrical Engineering, Industrial Engineering, or a comparable field of study
Practical experience in Python programming and familiar with common best practices
Experience with SQL databases, preferably PostgreSQL or TimescaleDB
Requirements:
Build new measurement integrations end-to-end: connecting external IoT devices through device registration and normalization to live data ingestion, transformation, and storage
Design and improve the measurement integration framework for faster, more reliable, and more observable source additions
Own the full integration lifecycle — from raw external data to normalized, mapped measurements
Contribute to the existing ETL framework for importing and digitizing customer grid data from heterogeneous source formats
Job description
About Working at envelio
Too easy is boring! Together, we are on a mission to drive forward the energy transition. We love what we do, and we are unafraid to dive in. We believe in taking ownership of our work and in continuously growing and evolving. In short: own it, love it, grow with it.
We are a humble team of coffee and maté lovers with over 20 nationalities. With our geek humor, our love for emojis and random facts is only natural. Over 180 envelians are already on board. Dive in and thrive!
Your Role
As (Senior) Software Engineer Data Integration (all genders), you design innovative software solutions that set our products apart from the masses. Within the Engineering team, you play an important role in further shaping and developing our platform.
With a focus on real-time measurement data and system integration, you are the interface between external source systems — from IoT devices to grid operator APIs — and our Intelligent Grid Platform (IGP). In a dynamic team, you build and evolve the components that bring live measurement data and grid asset information reliably into the IGP.
How You Make an Impact
You build new measurement integrations end-to-end: connecting external IoT devices (via Kafka, MQTT, IEC104, REST, gRPC) through device registration and normalization to live data ingestion, transformation, and storage.
You design and improve the measurement integration framework to make adding new sources faster, more reliable, and more observable.
You own the full integration lifecycle — from raw external data to normalized, mapped measurements, including custom transformations and ID mappings.
You contribute to the existing ETL framework for importing and digitizing customer grid data from heterogeneous source formats.
You optimize existing components for performance, reliability, and transparency across batch and streaming workloads.
You have a continuous improvement mindset and actively look for ways to bring our code to industry best practices with confidence.
Your Profile
Perfection is a myth! We're more interested in the human behind the screen, so think of these criteria as helpful directions — we're excited to see how your unique skills might fit in.
You have 2+ years of relevant experience in backend development with a focus on data engineering, API integration, or event-driven systems.
You have a degree in Computer Science, Data Science, Software Engineering, Electrical Engineering, Industrial Engineering, or a comparable field of study.
You have practical experience in Python programming and are familiar with common best practices.
You have experience with SQL databases, preferably PostgreSQL or TimescaleDB, in the area of data modelling and query design.
You have experience integrating with external APIs or streaming systems (e.g. Kafka, MQTT, REST or gRPC).
Ideally, you are familiar with IoT or energy domain protocols (e.g. MQTT, IEC104) and have worked with real-time data pipelines.
You are a team player and passionate about working with talented and inspiring people.
You are looking for technical challenges and pride yourself in finding smart and simple solutions for complex problems.
You are familiar with parts of our tech stack and are looking forward to keeping up with current industry best practices.
You are business-fluent in English (Level C1).
How we develop Software
Agile working method with Kanban in interdisciplinary squads.
Continuous Integration / Continuous Delivery.
Unit Test mentality and 4-eyes principle during code reviews.
Knowledge sharing sessions between developers.
"You Code It – You Own It" – Squad responsibility for certain functional areas of the product.