Data Engineer

Jobbeskrivning

Are you excited about enabling machine learning and AI through high-quality, scalable data pipelines? Do you thrive on transforming raw data into structured, production-ready assets that power global data products? Are you passionate about working with the latest tools and technologies in data engineering as part of a successful, global company at the forefront of digitalization?

Baskunskaper

We are currently seeking individuals with a strong foundation in data engineering, complemented by experience in machine learning/data science and ideally, domain knowledge in automotive or defense sectors.

To succeed in this role, you should meet the following fundamental qualifications:

A Master’s or PhD in a highly quantitative or technical field such as Computer Science, Data Engineering, Data Science, Machine Learning, Statistics, Applied Mathematics, Vehicle Engineering, or another Engineering/Natural Sciences discipline with a strong data or computational focus.

5+ years of professional experience in one or more of the following areas: data engineering, machine learning, large-scale data processing, advanced analytics, or algorithm development.

Proficiency in Python. Familiarity with SQL is essential.

Hands-on experience in building and maintaining data pipelines, working with distributed data processing frameworks (e.g., Apache Spark, Kafka, or Airflow), and deploying ML models in production environments.

Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn, especially in terms of integration into data workflows.

Spoken and written fluency in English.

Personliga färdigheter, egenskaper, erfarenhet

Experience form working in an agile way.

CI/CD experience.

Experience using JIRA and git.

Experience from working with and developing machine learning models.

Experience of the development of deep-learning models.

Experience working with Transformers and LLM ML architectures.

Experience working with Federated