Were looking for a Data Engineer who takes full ownership, works independently, and delivers results with speed and precision.
You are a fast learner who quickly adapts to new tools and concepts, communicates clearly across teams, and documents your work effectively. You pay attention to details, stay organized, and are committed to getting things done with continuous improvement.
Responsibilities
Design, implement, and maintain robust data pipelines to process and manage large-scale datasets, including auto-tagging for expanding training and validation data.
Develop intelligent search and filtering techniques and utilities to query relevant data and expedite data discovery.
Identify impactful driving scenarios across large datasets, enrich them into diverse, high-quality datasets for development usage.
Leverage NN models to support automatic labelling processes and data mining.
Create or customize data annotations tools, integrating automated quality assurance and auto-tagging algorithms to make data pipelines more efficient.
Design and manage processes for synthetic data generation.
Data processes documentation and communicates progress to stakeholders.
You are a fast learner who quickly adapts to new tools and concepts, communicates clearly across teams, and documents your work effectively. You pay attention to details, stay organized, and are committed to getting things done with continuous improvement.
Responsibilities
Design, implement, and maintain robust data pipelines to process and manage large-scale datasets, including auto-tagging for expanding training and validation data.
Develop intelligent search and filtering techniques and utilities to query relevant data and expedite data discovery.
Identify impactful driving scenarios across large datasets, enrich them into diverse, high-quality datasets for development usage.
Leverage NN models to support automatic labelling processes and data mining.
Create or customize data annotations tools, integrating automated quality assurance and auto-tagging algorithms to make data pipelines more efficient.
Design and manage processes for synthetic data generation.
Data processes documentation and communicates progress to stakeholders.
Requirements:
B.Sc. in Computer Science, Electrical Engineering, or related field. (M.Sc. is an advantage)
3+ years of experience in a data engineer/backend/tools dev role, preferably in AI or automotive environments.
Proficiency in Python and data tools (e.g., Pandas, NumPy).
Strong algorithmic thinking and data handling skills.
Familiarity with CV/ML pipelines is a strong plus.
Proficiency in building data queries from scratch.
Hands-on experience with large-scale data (video, sensors, logs, etc) and data visualisation tools.
B.Sc. in Computer Science, Electrical Engineering, or related field. (M.Sc. is an advantage)
3+ years of experience in a data engineer/backend/tools dev role, preferably in AI or automotive environments.
Proficiency in Python and data tools (e.g., Pandas, NumPy).
Strong algorithmic thinking and data handling skills.
Familiarity with CV/ML pipelines is a strong plus.
Proficiency in building data queries from scratch.
Hands-on experience with large-scale data (video, sensors, logs, etc) and data visualisation tools.
This position is open to all candidates.
