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Lyten

Develops 3D graphene-based energy solutions

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeVästerås, SwedenNo salary listedIn-person

About the Job

Requirements

  • Relevant experience in a technical data role such as Data Engineering, Data Science, or Machine Learning, including processing, storage, quality, and management on Google Cloud Platform or Amazon Web Services.
  • At least 4 years of relevant experience.
  • Experience working in large manufacturing or industrial enterprises with heterogeneous, distributed data sources and navigating complexity at scale.
  • 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 such as AWS Kinesis, Lambda, Redshift, or Google Cloud equivalents; Airflow; dbt; Parquet; Protocol Buffers; or Avro.
  • Strong programming skills in Python, SQL, and general-purpose scripting for automation, data processing, and integration.
  • Deep understanding of ETL/ELT frameworks such as Airflow, dbt, and Spark, 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, Google Cloud Platform, or Azure, including serverless architectures, distributed storage, and stream processing.
  • Experience with continuous integration/continuous delivery, Git-based workflows, Docker, and robust software engineering practices.
  • Knowledge of data serialization formats such as Parquet, Avro, Protocol Buffers, and JSON, and best practices for efficient storage and retrieval.
  • Experience integrating systems via APIs.
  • Understanding of machine learning concepts and experience supporting data scientists with structured, high-quality datasets.

Responsibilities

  • Design, build, and maintain data pipelines for high-frequency laboratory data.
  • Integrate test equipment such as battery cyclers from Chroma, Keysight, PEC, and PNE, as well as chambers, data acquisition systems, and programmable logic controllers.
  • Develop ETL/ELT processes to transform raw data into validated and curated datasets.
  • Build scalable data storage solutions, including data lakes, time-series databases, and 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 with test and validation engineers to understand test profiles, metadata, and measurement methods.
  • Support laboratory technicians with tools that simplify workflows and reduce manual data tasks.
  • Integrate with manufacturing execution systems, laboratory information management systems, product lifecycle management systems, and other enterprise systems.
  • Troubleshoot data-related issues in test execution or equipment communication.
  • Take increasing ownership of data architecture and the long-term data roadmap.
  • Contribute to documentation standards, data governance, and best practices.

Desired Qualifications

  • Project management experience.
  • Familiarity with hardware communication protocols such as REST, OPC-UA, and Modbus.
  • A solid engineering foundation in electrical, mechanical, chemical, or physical engineering, preferably within the energy, electrical testing, or battery domain.
  • Understanding of sensor calibration, noise, drift, and data validation.

About the Company

Lyten

Develops 3D graphene-based energy solutions

Lyten develops and applies 3D graphene materials to help heavy-emitting industries reduce their carbon emissions. It builds applications on a materials platform centered on 3D graphene and is advancing Lithium-Sulfur batteries to improve EV efficiency and affordability. It differentiates itself by partnering with Fortune 500 customers and building a scalable platform rather than relying on a single product, with support from strategic investors like FedEx, Stellantis, and Honeywell. Its goal is to help large emitters reach net-zero while preserving profitability and accelerate the global transition to clean energy through practical, scalable technology.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$1.2B
Headquarters
San Jose, CA
Founded
2015

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