Data Engineer — Lab Data Pipelines & Analytics

Lyten; Västerås kommun; On-site; SEK 800,000 - 1,000,000; Full time

Job summary

Lyten Sweden is seeking a professional Data Engineer to join the Test & Validation organization. You will design and operate data infrastructure for laboratory data, ensuring trustworthy, accessible, and scalable data for engineering, analytics, and decision-making.

The role evolves toward leading a multidisciplinary data team and defining a long-term data strategy. Key responsibilities include building high-frequency data pipelines, integrating lab equipment, and implementing ETL/ELT processes,

Qualifications

• 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.
• Strong programming in Python, SQL, and scripting for automation and data processing.

Responsibilities

• Design, build, and maintain data pipelines for high-frequency lab data.
• Integrate test equipment and data sources into pipelines and data stores.
• Develop ETL/ELT processes to transform raw data to curated datasets.
• Build scalable data storage solutions and metadata stores.
• Implement data validation, anomaly detection, and quality monitoring.
• Automate data processing for reporting, dashboards, and analysis.

Skills

Python

SQL

Data pipelines

Airflow

dbt

Spark

Kinesis

CI/CD

Git

Education

Bachelor's degree in a technical field

Tools

AWS

GCP

Airflow

dbt

Parquet/Protobuf/Avro

Job description

Lyten Sweden is seeking a professional Data Engineer to join the Test & Validation organization. You will design and operate data infrastructure for laboratory data, ensuring trustworthy, accessible, and scalable data for engineering, analytics, and decision-making.

The role evolves toward leading a multidisciplinary data team and defining a long-term data strategy. Key responsibilities include building high-frequency data pipelines, integrating lab equipment, and implementing ETL/ELT processes,