Senior Data Engineer

Siemens Energy; Bengaluru; On-site; INR 6,000,000 - 9,000,000; Full time

Job summary

Siemens Gamesa within Siemens Energy seeks a senior data engineering leader to design, build, and govern scalable OT data pipelines feeding the Polaris cloud data lake. You will guide architecture, mentor engineers, and collaborate with stakeholders to deliver secure, high-quality data solutions aligned with cybersecurity requirements.

You will own CI/CD, infrastructure-as-code, data reliability, and analytics readiness, while driving devops best practices and production support for

Qualifications

• 12+ years of experience in data engineering, cloud-based platforms.
• Proven ability to lead complex data systems and mentor teams.
• Strong background in data integration, data lakes, and streaming data.

Responsibilities

• Design, develop, and maintain scalable data pipelines ingesting OT data into Polaris data lake.
• Optimize dataflows for performance, stability, and data integrity.
• Lead architecture decisions and mentor engineers.
• Maintain CI/CD pipelines and infrastructure-as-code.
• Ensure security and cybersecurity alignment.

Skills

Data engineering

Leadership

Mentoring

Problem solving

Agile

Team collaboration

Ownership

Education

Bachelor’s degree in Computer Science, Engineering, IT, or related field

Microsoft Certified: Azure Data Engineer Associate

AWS Certified Data Analytics – Specialty

Databricks Certified Data Engineer Professional

Tools

Azure Data Factory

Databricks

SQL

Python

MQTT

CI/CD

Git

SSIS

Job description

A Snapshot of Your Day

You will play a critical role in ensuring the stability and continuity of OT data operations by managing data pipelines from windfarm SCADA systems to the Polaris cloud data lake. Your day will involve designing and optimizing data pipelines, maintaining CI/CD processes, and driving system reliability. You will act as a technical leader, guiding architectural decisions, resolving complex issues, mentoring team members, and collaborating with stakeholders to deliver secure, high-quality data solutions aligned with cybersecurity requirements.

How You’ll Make An Impact

• Design, develop, and maintain scalable, reliable data pipelines to ingest OT data into the Polaris cloud data lake
• Optimize and troubleshoot dataflows to ensure high performance, stability, and data integrity for digital services
• Implement secure data transmission solutions, including MQTT for air-gapped and cybersecurity-sensitive environments
• Collaborate with stakeholders to translate business data requirements into technical solutions
• Integrate, optimize, and manage multiple data sources for analytics and reporting readiness
• Troubleshoot and resolve complex data infrastructure issues to ensure availability and reliability
• Manage and enhance CI/CD pipelines for efficient and reliable deployment of data solutions
• Implement DevOps best practices including infrastructure-as-code, automated testing, and configuration management
• Monitor pipelines, identify bottlenecks, and drive improvements to development velocity and quality
• Act as SME for OT data collection and complex dataflows, ensuring knowledge retention
• Mentor junior engineers and review deliverables to maintain high standards
• Lead resolution of critical production issues and ensure minimal business disruption

What You Bring

• Bachelor’s degree in Computer Science, Engineering, IT, or related field
• 12+ years of experience in data engineering, specifically in cloud-based data platforms
• Proven experience in senior/lead roles with ability to independently manage complex systems and mentor teams
• Data Engineering & Architecture: SQL, Data Integration, SSIS, Azure Data Factory, Databricks, Python, Data Lakes, MQTT
• Cloud & DevOps: Microsoft Azure, CI/CD, DevOps, Git
• Problem Solving: Troubleshooting, Agile methodology
• Strong ownership and accountability
• Team player with mentoring capabilities
• Growth mindset and positive attitude
• Microsoft Certified: Azure Data Engineer Associate
• AWS Certified Data Analytics – Specialty
• Databricks Certified Data Engineer Professional

About The Team

The Data Operations team focuses on maintaining stable and secure OT data pipelines that power remote digital services. The team collaborates closely to ensure system reliability, knowledge sharing, and continuous improvement while handling complex, high-volume data environments.

Who is Siemens Gamesa?

Siemens Gamesa is part of Siemens Energy, a global leader in energy technology with a rich legacy of innovation spanning over 150 years. Together, we are committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. As a leading player in the wind industry and manufacturer of wind turbines, we are passionate about driving the energy transition and providing innovative solutions that meet the growing energy demand of the global community. At Siemens Gamesa, we are always looking for dedicated individuals to join our team and support our focus on energy transformation.

Empowering our people https://www.siemensgamesa.com/sustainability/employees

How do you imagine the future? https://youtu.be/12Sm678tjuY

Our global team is on the front line of tackling the climate crisis, reducing carbon emissions - the greatest challenge we face.

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.