Data Quality Specialist

A Snapshot of Your Day

As a Data Quality Specialist (f/m/d), you will play a key role in advancing Siemens Energy's Data Governance capability by promoting trusted, fit-for-purpose data across the organization. You will help develop the tools, standards, skills, and practices required to identify, assess, and resolve data quality issues at scale.

In this role, you will contribute to the development and execution of Siemens Energy's Data Quality strategy and support strategic initiatives including Data Contracts, Data Product Quality, semantic-driven Data Quality, and Data Quality automation. Working closely with Data Domain Managers, Data Stewards, and Data Governance colleagues, you will ensure that critical business data remains reliable, transparent, and valuable for operational processes, analytics, reporting, and AI use cases.

How You'll Make An Impact

Support Driving Data Quality Strategy & Governance

• Support execution of Siemens Energy's Data Quality strategy, standards, frameworks, and governance practices.
• Contribute to strategic Data Quality initiatives, including Data Contracts, Data Product Quality, semantic-driven Data Quality, and automation programs.
• Collaborate with Data Governance stakeholders to establish scalable and sustainable Data Quality capabilities across the organization.
  
  

Partner with Business & Data Domains

• Engage with Data Domain Managers, Data Stewards, and business stakeholders to understand business challenges and translate requirements into measurable Data Quality controls.
• Act as a trusted advisor for defining Data Quality expectations and remediation approaches.
• Support the adoption of Data Quality best practices across enterprise data domains.
  
  

Data Profiling, Monitoring & Analysis

• Perform data profiling and analysis to identify data quality issues and improvement opportunities.
• Drive root cause analysis and support remediation activities to improve data reliability and consistency.
• Develop and monitor Data Quality KPIs, scorecards, dashboards, and performance metrics.
  
  

Collibra Data Quality & Observability

• Serve as a key contributor to the implementation, adoption, and optimization of Collibra Data Quality & Observability.
• Design, implement, test, and monitor business and technical Data Quality rules.
• Document and maintain Data Quality controls and related metadata within the Collibra ecosystem.
  
  

Data Contracts & Data Products

• Support the definition and operationalization of Data Contracts, including ownership, monitoring requirements, and Data Quality expectations.
• Define and monitor Data Quality requirements for Data Products, ensuring data is fit for business, analytics, and AI use cases.
• Improve transparency and accountability through measurable service expectations and monitoring practices.
  
  

Semantic-Driven Data Quality

• Leverage metadata, business glossaries, and semantic definitions to improve Data Quality rule design and reuse.
• Strengthen alignment between business concepts, data assets, and Data Quality controls.
• Support scalable approaches to Data Quality management across enterprise data environments.
  
  

Automation & Innovation

• Identify opportunities to automate Data Quality activities including:
• Data profiling
• Rule generation
• Monitoring
• Issue detection
• Data cleansing and remediation
  
• Explore and apply AI-enabled approaches such as anomaly detection, rule discovery, automated issue analysis, and intelligent remediation.
  
  

Data Platforms & Analytics

• Work extensively with data stored and processed in Snowflake environments.
• Utilize SQL and modern data management practices to analyze, profile, and monitor enterprise data assets.
• Support data teams in maintaining trusted data pipelines and quality standards.
  
  

Training & Enablement

• Create and maintain training materials, templates, standards, and guidance documentation.
• Enable Data Domains to independently manage and improve Data Quality.
• Present methodologies, project outcomes, and recommendations to technical and business stakeholders.
  
  

Continuous Improvement

• Stay current with emerging trends and technologies in Data Quality, Data Governance, Data Management, and AI.
• Recommend and implement innovative solutions that increase the effectiveness, scalability, and maturity of Data Quality capabilities.
  
  

What You Bring

Education

• MBA from a Tier-1 institution in India or abroad.
• Additional qualifications in Data Management, Governance, Analytics, or Technology are advantageous.
  
  

Professional Experience

• 7 to 8 years of professional experience in:
• Data Quality Management
• Data Governance
• Data Management
• Data Analytics
• Related enterprise data disciplines
  
  

Technical Skills

Strong expertise in:

• Data profiling and analysis
• SQL and data querying
• Data Quality rule creation and implementation
• Data Quality monitoring and issue management
• Root cause analysis and remediation processes
  
  

Hands-on experience with:

• Collibra Data Quality & Observability
• Collibra Data Catalog
• Metadata Management solutions
  
  

Strong working knowledge of:

• Snowflake
• Modern cloud data architectures
• Enterprise data platforms
  
  

Data Governance Expertise

Good understanding of:

• Data Contracts
• Data Product Quality
• Data Ownership frameworks
• Metadata Management
• Data Asset Management
• Enterprise Data Modeling
  
  

Understanding of semantic-driven Data Quality approaches and the relationship between business concepts, metadata, and Data Quality controls.

Automation & AI

Experience identifying and implementing automation opportunities across the Data Quality lifecycle.

Exposure to AI-enabled capabilities such as:

• Rule discovery
• Anomaly detection
• Automated issue identification
• Intelligent remediation
• Data Quality automation
  
  

Business & Stakeholder Management

• Proven ability to translate business requirements into measurable Data Quality controls.
• Strong stakeholder engagement and communication skills.
• Experience collaborating with both technical and business teams.
• Ability to work effectively in global, cross-functional environments.
  
  

Additional Qualifications

• Experience with SAP or enterprise ERP environments is advantageous.
• Experience developing Data Quality dashboards, KPIs, scorecards, and reporting solutions is highly desirable.
  
  

Personal Attributes

• Strong analytical and problem-solving mindset.
• Excellent communication and presentation skills.
• Highly organized with strong attention to detail.
• Curious, adaptable, and committed to continuous learning.
• Collaborative and proactive approach to driving change.
  
  

Language Skills

• C2-level spoken and written English.
• German language skills are considered a plus.
  
  

About The Team

The Data Governance organization at Siemens Energy enables trusted, well-managed, and fit-for-purpose data across the enterprise. Our mission is to establish clear accountability for data while providing the frameworks, standards, capabilities, and tools that help the business understand, manage, and continuously improve its data assets.

Within Data Governance, the Data Quality capability works closely with Data Domains, Data Stewards, and governance stakeholders to make data quality measurable, transparent, and actionable. By combining business ownership, governance practices, and modern technology platforms, we ensure critical enterprise data can be trusted for operational processes, analytics, reporting, and AI-driven decision-making.

As part of our team, you will join a collaborative and international environment where you will help strengthen enterprise Data Quality capabilities, enable stakeholders through training and knowledge sharing, and contribute to the ongoing evolution of Data Governance across Siemens Energy.

Who is Siemens Energy

At Siemens Energy, we are more than just an energy technology company. With around 100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future and support the reliable, sustainable, and affordable supply of energy worldwide.

Our technologies support the global energy transition through solutions in power generation, transmission, storage, grid technologies, and industrial decarbonization. Built on more than 150 years of innovation, Siemens Energy continues to shape the future of energy while helping customers achieve their sustainability goals.

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, regardless of ethnic background, gender, age, religion, identity, or disability.

We energize society, all of society, and do not discriminate based on our differences. We value equal opportunities and welcome applications from people with disabilities.