Lyten is leading an industrial revolution through Lyten 3D Graphene™, a breakthrough supermaterial unlocking a new generation of products — from lithium–sulfur batteries and energy storage systems to concrete admixtures, lightweight composites, and next-generation sensors that are revolutionizing industries. Together, these innovations are making a massive global improvement and driving real-world impact across energy, mobility, construction, and defense.
At Lyten, we believe the most meaningful careers begin with purpose — and with people who want to make a difference. We’re not just developing advanced supermaterials — we’re about to change the world as we know it, reshaping how energy is stored, how products are built, and how progress is made.
We’re entering an exciting growth phase, scaling production across the U.S. and Europe and expanding our team of engineers, scientists, and innovators.
Apply now to join our team and be part of something bigger than yourself — where collaboration, creativity, and purpose come together to build the technologies that will define the next century.
Lyten Sweden is seeking a professional Data Engineer to our Test & Validation organization. The Data Engineer role exists to ensure that all test‑lab data is trustworthy, accessible, scalable, and usable for engineering, validation, analytics, and decision‑making. The function provides the technical backbone that enables reliable testing, advanced analysis, automation, and long‑term product improvement.
The Data Engineer is responsible for designing and operating the data infrastructure that supports all laboratory test activities. This includes connecting test equipment, building pipelines for high‑frequency and large‑volume datasets, ensuring data quality, and enabling engineers, analysts, and scientists to work efficiently with accurate data.
As the laboratory and organization expand, the role will evolve into a leadership function that guides the long‑term data strategy and leads a multidisciplinary data team.
Key responsibilities include (but are not limited to)
Design, build, and maintain data pipelines for high‑frequency lab data
Integrate test equipment such as battery cyclers (Chroma, Keysight, PEC, PNE), chambers, DAQ systems, and PLCs
Develop ETL/ELT processes to transform raw → validated → curated datasets
Build scalable data storage solutions (data lakes, time-series DBs, structured metadata stores)
Implement data validation, anomaly detection, and quality monitoring
Automate data processing for reporting, dashboards, and analysis
Ensure data traceability, version control, and audit compliance
Work closely with test and validation engineers to understand test profiles, metadata, and measurement methods
Support lab technicians with tools that simplify workflows and reduce manual data tasks
Integrate with MES, LIMS, PLM, and other enterprise systems
Troubleshoot data-related issues in test execution or equipment communication
Take increasing ownership of data architecture and long‑term data roadmap
Contribute to documentation standards, data governance, and best practices
Requirements
Qualifications and Experience
Engineering in technical data role (Data Engineering, Data Science, Machine Learning) including processing, storage, quality, and management on GCP or AWS
+4 years of relevant experience
Project management experience is beneficial
Experience in large manufacturing or industrial enterprises with heterogeneous, distributed data sources, demonstrating ability to navigate complexity at scale
Specific skills & Knowledge
Proven experience scaling and re‑architecting data platforms and infrastructure to handle rapid growth and increasing data volumes
Hands-on experience designing and building highly scalable and reliable data architectures using modern cloud and data tooling (e.g., AWS Kinesis, Lambda, Redshift, GCP equivalents; Airflow, dbt; Parquet, Protobuf, Avro)
Strong programming skills in Python, SQL, and general-purpose scripting for automation, data processing, and integration
Deep understanding of ETL/ELT frameworks (Airflow, dbt, Spark, etc.) and experience building production-grade data pipelines
Familiarity with time-series and high‑frequency measurement data, particularly from industrial or test environments
Cloud engineering experience in AWS, GCP, or Azure, including serverless architectures, distributed storage, and stream processing
Experience with CI/CD, Git-based workflows, Docker, and robust software engineering practices
Knowledge of data serialization formats (Parquet, Avro, Protobuf, JSON) and best practices for efficient storage and retrieval
Experience integrating systems via APIs; familiarity with hardware communication protocols such as REST, OPC-UA, and Modbus is a strong plus
Understanding of machine learning concepts and experience supporting data scientists with structured, high-quality datasets
Domain knowledge (Preferred)
Solid engineering foundation (electrical, mechanical, chemical, physical), preferably within the energy, electrical testing, or battery domain
Understanding of sensor calibration, noise, drift, and data validation
Why Work at Lyten
At Lyten, you’ll be part of a team that’s redefining what’s possible in energy, materials, and manufacturing. We’re not just imagining the future — we’re building it today with breakthrough technologies that are changing how products are made and how industries innovate.
Our people are the heart of that mission. From world-class scientists and engineers to creative problem-solvers in operations, manufacturing, and commercialization, every member of the Lyten team plays a role in turning bold ideas into real-world impact. We believe that the best work happens when you’re doing great things in the world — with people you like. Collaboration, curiosity, and a shared sense of purpose drive everything we do.
What You’ll Find at Lyten
A mission that matters: Contribute directly to solving complex challenges in energy, mobility, and materials innovation.
Cutting-edge innovation: Work on technologies at the intersection of materials science, energy storage, and advanced manufacturing that strengthen energy security and local supply chains.
Extraordinary people: Join a team of talented, friendly, and down-to-earth innovators who support, challenge, and inspire one another every day.
Teamwork and culture: Experience a workplace built on trust, respect, and shared success — where collaboration fuels breakthroughs and everyone’s ideas are heard.
Global impact: Help scale new materials and energy solutions that reinforce industrial resilience across the U.S. and Europe.
Career growth: Be part of a fast-moving company entering a commercial growth phase, with opportunities to lead, learn, and make your mark.
Purpose-driven values: Thrive in an environment that celebrates ingenuity, optimism, and meaningful progress — together.
Lyten offers the opportunity to do the most important work of your career — helping build the technologies that will power the next century of innovation.
Join us, and help transform industries, communities, and the planet with friends who share your drive to make a difference.
Skills Required
- Experience in a technical data role (Data Engineering, Data Science, Machine Learning) including processing, storage, quality, and management on GCP or AWS
- +4 years of relevant experience
- Experience in large manufacturing or industrial enterprises with heterogeneous, distributed data sources
- Proven experience scaling and re-architecting data platforms and infrastructure
- Hands-on experience with cloud streaming and serverless tooling (e.g., AWS Kinesis, Lambda, Redshift or GCP equivalents)
- Experience with ETL/ELT frameworks and building production-grade pipelines (Airflow, dbt, Spark, etc.)
- Strong programming skills in Python, SQL, and general-purpose scripting for automation and integration
- Experience with data serialization and storage best practices (Parquet, Avro, Protobuf, JSON)
- Cloud engineering experience in AWS, GCP, or Azure including distributed storage and stream processing
- Experience with CI/CD, Git-based workflows, and Docker
- Familiarity with time-series and high-frequency measurement data from industrial or test environments
- Experience integrating systems via APIs; familiarity with hardware communication protocols such as REST, OPC-UA, Modbus
- Understanding of machine learning concepts and experience supporting data scientists with structured, high-quality datasets
- Project management experience
- Domain knowledge in electrical, mechanical, chemical, or battery testing; understanding of sensor calibration and data validation
What We Do
Lyten is a supermaterial applications company that leverages its proprietary 3D Graphene technology platform to develop next-generation lithium-sulfur batteries, high-strength low-carbon composites, and advanced sensors. Its mission is to provide high-performance, decarbonized products for critical infrastructure, specifically targeting the automotive, aerospace, defense, and energy storage markets to accelerate the global energy transition.
