Hello Visionary!
We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make an outstanding addition to our vibrant team. Siemens Mobility is an independent run company of Siemens AG. Its core business includes rail vehicles, rail automation and electrification solutions, turnkey systems, intelligent road traffic technology and related services. In Mobility, we help our customers meet the need for hard-working mobility solutions. We’re making the lives of people who travel easier and more enjoyable while constantly developing new, intelligent mobility solutions!
We are looking forData / AI EngineerYou’ll make a difference by
The Data & AI Engineer / Analyst will be responsible for designing, enabling, and supporting data-driven insights across Siemens Mobility India’s factories, offices, and projects.
The role focuses on analytics, reporting, data platforms, and governance, supporting business growth, operational excellence, and digitalization initiatives.
Translate complex business requirements into clear technical specifications and high-impact data and analytics solutions that deliver measurable business value.
Drive the deployment and adoption of the Data Management Framework across departments, ensuring best practices in data governance, security, quality, and regulatory compliance.
Design, build, and continuously enhance data processing and transformation solutions using Python, SQL, and cloud-based data platforms (e.g., Azure or AWS).
Demonstrate strong SQL expertise, hands-on experience with data warehouses (Snowflake preferred), and proficiency in Power BI dashboard development and analytical reporting.
Design, develop, and maintain scalable end-to-end data pipelines, analytics solutions, and AI/ML-ready datasets, ensuring data quality and readiness for current and future AI initiatives.
Implement and support robust data models, solution designs, and system architectures to enable reliable, scalable, and performant analytics platforms.
Domain knowledge in Finance and Manufacturing will be considered a strong added advantage, enabling deeper business understanding and more relevant, value-driven analytics solutions.
Work closely with business teams across factories, projects, and corporate functions to understand data and analytics requirements and translate them into effective IT and data solutions.
Design, develop, and maintain Power BI dashboards and analytical reports to support operational monitoring, management reporting, and data-driven decision-making.
Build, enhance, and support data pipelines, data lakes, and data warehouse solutions using SQL, Python, and cloud-based data platforms (e.g., Azure or AWS).
Ensure high data quality, consistency, security, and compliance by driving adoption of the organization’s data governance and data management framework.
Design and maintain scalable data models and solution architectures to enable reliable reporting, analytics, and future AI initiatives.
Analyse enterprise data to identify trends, patterns, and improvement opportunities, proactively proposing insights and data-driven recommendations.
Support data readiness for advanced analytics, AI, and GenAI use cases by ensuring clean, structured, and well-governed datasets.
Collaborate with IT teams, data engineers, business stakeholders, and external service providers to ensure timely and high-quality delivery of data solutions.
Monitor and continuously improve performance, stability, and usability of analytics platforms and reporting solutions.
Support user adoption through documentation, training sessions, and knowledge transfer, enabling effective use of analytics tools across the organization.
Desired Skills:
Bachelor’s degree in Engineering (B.E./B.Tech), or Master of Computer Applications (MCA) / MBA.
3+ years of relevant experience in data science, machine learning, or analytics projects.
Extensive knowledge of analytics systems, especially cloud data platforms (Azure/AWS) and reporting tools (Qlik Sense, Power BI, Tableau).
Strong data analytical skills to identify key business drivers and trends.
Proficiency in Python, SQL, and other programming languages as needed.
Hands-on experience in building data pipelines, data modeling, and implementing AI/ML solutions in business contexts.
Basic understanding of software development principles, algorithm design, and coding best practices.
Strong functional understanding of Finance and manufacturing process.
Hands-on experience or strong working knowledge of Power BI for financial reporting and analytics.
Proven experience in business analysis, requirement gathering, functional documentation, and solution design for corporate applications.
ERP Cloud Platform Experience: Familiarity with cloud-based ERP solutions (e.g., SAP S/4HANA Cloud) and their integration with existing on-premises systems, enabling better scalability, flexibility, and reduced infrastructure costs.
Experience with quality assurance, data protection, and compliance methodologies.
Ability to discover, evaluate, and implement new technologies as needed.
Demonstrated ability to deliver projects as part of a collaborative team.
Join us and be yourself!
We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.
Make your mark in our exciting world at Siemens.
This role is based in Pune. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come. We're Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow.
