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.