Data Operations Engineer

About the Role:

Required Qualifications

• Degree in statistics, computer science, engineering, mathematics, or a related field. A master's degree is a plus but not essential.
• 4–6 years in a data-focused role involving programming, automation, or analytics.
• Python (including libraries such as Pandas, NumPy, Scikit-learn)
• Experience working with LLM APIs, prompt engineering, and RAG architectures
• Familiarity with orchestration frameworks (e.g., LangChain, LlamaIndex, or similar)
• CI/CD pipeline development and maintenance
• AWS cloud services
• GitLab for version control
• SQL for data extraction and analysis
• Understanding of ETL/ELT concepts
• Familiarity with statistics and machine learning methods
• Data visualisation tools (e.g., QlikView, Power BI)
• Awareness of data security and governance principles
• Experience in the automotive industry or with automotive data sources
• Knowledge of trends in automotive technology (EVs, connected vehicles, autonomous driving)
• Familiarity with Agile or Six Sigma methodologies
• Advanced Excel and PowerPoint skills
• If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
• It is the policy of Mobility to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Mobility will provide reasonable accommodations for qualified individuals with disabilities.

Technical Skills

• Python (including libraries such as Pandas, NumPy, Scikit-learn)
• Experience working with LLM APIs, prompt engineering, and RAG architectures
• Familiarity with orchestration frameworks (e.g., LangChain, LlamaIndex, or similar)
• CI/CD pipeline development and maintenance
• AWS cloud services
• GitLab for version control
• SQL for data extraction and analysis
• Understanding of ETL/ELT concepts
• Familiarity with statistics and machine learning methods
• Data visualisation tools (e.g., QlikView, Power BI)
• Awareness of data security and governance principles
• Preferred Skills:
• Experience in the automotive industry or with automotive data sources
• Knowledge of trends in automotive technology (EVs, connected vehicles, autonomous driving)
• Familiarity with Agile or Six Sigma methodologies
• Advanced Excel and PowerPoint skills
• If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
• It is the policy of Mobility to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Mobility will provide reasonable accommodations for qualified individuals with disabilities.

Responsibilities

• Build and maintain data transformation pipelines
• Design and implement automated QA processes
• Develop AI-assisted tools for debugging, documentation generation, and data transformation
• Codify transformation logic into automated systems (AI or rule-based)
• Support the creation of prototype datasets
• Help teammates adopt new technologies – through mentoring, workshops, and training materials
• Champion change and drive adoption across the team
• Collaborate with cross-functional colleagues in an agile environment
• What We're Looking For