Bi & snowflake developer / data analytics engineer Jobs

Sr Manager, Product Engineering
Siemens Energy —Pune, Maharashtra
- Full-time
- Management
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- English
- Paid holidays
- Health insurance
10h
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Sr Manager, Product Engineering

Siemens Energy -
Pune, Maharashtra

Apply Now

Job details

Full-time
10 hours ago

Benefits

Paid holidays
Health insurance

Qualifications

CI/CD
Power BI
Management
Law
Kanban
DevOps
Alteryx
Git
English
Continuous integration
Scrum
SAP S/4HANA
Agile
Unit testing
AI
GitLab
Communication skills
Python
Analytics

Full job description

A Snapshot of Your Day

As Senior Manager – Product Engineering, you will lead the engineering execution behind Siemens Energy’s Digital Finance transformation, ensuring that delivery ambition is matched by engineering rigor. Your day will involve coaching engineers, reviewing GitLab pipelines, improving test coverage, and enforcing documentation standards across the product execution team.

You will work closely with Solution Architects and Data Architects to evaluate delivery complexity, identify technical debt risks, and optimize build sequencing. At the same time, you will drive the adoption of AI-assisted and AI-generated development practices, embedding engineering standards that make delivery faster, tested, scalable, and production-ready.

Your impact goes beyond code and delivery. You will establish the engineering discipline, DevOps practices, testing frameworks, and AI-enabled ways of working that create the foundation for long-term product scalability and business value realization.

How You’ll Make an Impact

Lead and develop the global product execution team, including Data Engineers, AI Engineers, and BI Developers across India, Germany, and other locations.
Set clear performance expectations, run structured development conversations, and create individual growth plans for team members.
Build a team culture where quality, documentation, and test coverage are embedded by default.
Partner closely with the Scrum Master to align delivery pace with engineering rigor.
Drive full implementation of GitLab version control across all development surfaces, including Snowflake, Power BI, Python, automations, and other tools.
Define and enforce release management standards, including branching strategy, pull request reviews, deployment gates, run books, and production release protocols.
Formalize testing practices across the team, including unit testing, integration testing, UAT coordination, and AI-assisted test case generation.
Build and maintain a team handbook documenting engineering standards, tooling guidelines, and evolving ways-of-working.
Define and track engineering health metrics such as deployment frequency, lead time, change failure rate, and mean time to recovery.
Accelerate the team’s transition from AI-assisted to AI-generated development to compress delivery cycles from weeks to days.
Establish AI tooling standards, defining tools, tasks, quality controls, and adoption expectations across the engineering team.
Coach engineers on AI-assisted coding, including prompt engineering, output validation, test generation, and documentation automation.
Measure and report the impact of AI adoption against sprint velocity improvement targets.
Collaborate with Solution Architects on evaluating new tools, frameworks, and architectural approaches that improve speed, quality, and maintainability.
Partner with Data Architects to align pipeline standards, data engineering practices, and Community Data Pool integration with broader enterprise data strategies.
Contribute to sprint planning and backlog refinement by identifying technical debt, sequencing risks, and estimation gaps.
Own production environment standards, ensuring all deployed solutions include run books, monitoring, rollback procedures, and support models.
Lead automation triage for Alteryx and UiPath workflows, ensuring smooth migration and reporting continuity during S/4HANA go-live.
Establish code review as a formal discipline tied to quality standards and GitLab documentation.
Ensure security, access management, and regulatory compliance are built into development practices from the start.

What You Bring

8+ years of software engineering or data engineering experience.
5+ years of people management experience leading technical teams.
Proven experience building engineering discipline in teams transitioning from informal to mature practices.
Strong experience leading distributed and multi-geography engineering teams.
Experience managing teams across data engineering, analytics, ML/AI engineering, or related disciplines.
Deep expertise in DevOps practices including GitLab (or equivalent), CI/CD pipeline design, branching strategies, release management, and production monitoring.
Strong command of testing practices including unit testing, integration testing, automated test generation, and quality gates.
Hands-on familiarity with Python, Snowflake, Power BI, Streamlit, and GitLab.
Experience with Agile delivery frameworks such as Scrum or Kanban.
Active practitioner of AI-assisted coding and development.
Experience defining AI coding standards, quality expectations, and team-wide adoption strategies.
Strong understanding of AI-generated development workflows, agentic coding, LLM-based code generation, and automated testing pipelines.
Strong collaboration skills with Solution Architects and Data Architects.
Excellent English communication skills, both written and verbal.
Ability to proactively identify engineering gaps and independently drive improvements.
Strong mindset toward engineering rigor as a delivery accelerator.
Ability to balance accountability, team development, and continuous improvement in high-growth engineering environments.

About the Team

The Siemens Energy Transformation of Industries Digital Finance team is executing a multi-year strategy to transform how more than 1,000 finance professionals work globally. By replacing manual consolidation and reactive reporting with automated, AI-powered intelligence delivered through a unified platform, the team is shaping the future of finance operations.

As part of this journey, you will lead a globally distributed engineering team focused on building scalable digital products and establishing engineering excellence as the foundation for sustainable transformation.

Who is Siemens Energy?

Siemens Energy
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Rewards / Benefits

Employees are eligible for remote working arrangements up to 2 days per week.
Opportunities to work with a distributed, global team.
Opportunities to work on and lead a variety of innovative projects.
Medical benefits.
Time off, paid holidays, and parental leave.

Apply Now

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