Data Operations Engineer

The Team:  We are a global leader in automotive data, insights, and analytics. Our team empowers stakeholders across the automotive industry to make informed decisions and navigate the evolving world of mobility and aftermarket services.  About the Role: We're looking for a Senior Analyst – Data Transformation to join our team. You'll be at the heart of how we modernise our data products – building smarter pipelines, introducing AI-assisted tooling, and helping your colleagues embrace new ways of working.  What You'll Do:  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:  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.  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.