Data Engineer

The Business Data Enablement (BDE) India unit is part of the global BDE organization and is responsible for the development, maintenance, and operation of DNV’s analytics and reporting platforms.

The team supports fact-based decision making across the organization by providing trusted, refined, and well governed data for value adding insights.

This unit is focused on business domain specific data (production data) and data platforms, serving Business Areas.

We are seeking a Data Engineer role based in Pune, India, who will contribute to the design, delivery, and continuous improvement of enterprise data platforms and analytics solutions.

The role has a strong focus on backend data engineering, including data integration, transformation, and semantic data modelling, supporting enterprise analytics and reporting platforms.

Exposure to Power BI is considered an advantage but not a primary requirement.

The role requires a hands-on mindset across data pipelines, databases, and semantic layers, ensuring reliable and scalable data solutions.

Main Responsibilities:

• Design, develop, and maintain robust data pipelines for data integration, transformation, and loading (ETL/ELT).

• Work on data orchestration and integration using tools such as Azure Data Factory and Informatica.

• Develop and maintain enterprise semantic models (Azure Analysis Services / Power BI / Microsoft Fabric).

• Ensure data quality, reliability, and performance across data pipelines and models.

• Troubleshoot data issues across layers (data sources, pipelines, and semantic models).

• Optimize data processing, SQL queries, and pipeline performance.

• Collaborate with reporting and analytics teams to enable downstream data consumption.

• Collaborate with data engineers, analysts, product owners, and stakeholders across global, virtual teams.

• Contribute to development standards, best practices, and technical documentation.

• Support analytics and reporting solutions where required.

• Facilitate knowledge sharing within the team.

• Full-time employment contract.
• The opportunity of long-term career perspectives in an international environment.
• Training and development opportunities.
• Great working atmosphere and support from your colleagues.
• Flexible work arrangements for better work-life balance.
• Generous Paid Leaves (Annual, Sick, Compassionate, Local Public, Marriage, Maternity, Paternity, Medical leave).
• Medical benefits ( Insurance and Annual Health Check-up).
• Pension and Insurance Policies (Group Term Life Insurance, Group Personal Accident Insurance, Travel Insurance).
• Training and Development Assistance (Training Sponsorship, On-The-Job Training, Training Program).
• Additional Benefits (Long Service Awards, Mobile Phone Reimbursement).
• Company bonus/Profit share.

*Benefits may vary based on position, tenure/contract/grade level*

DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity.

To succeed in this role, you should have:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

• 4–6 years of relevant experience in Data Engineering, Data Warehousing, or similar roles.

• Strong SQL skills (query writing, performance tuning, troubleshooting).

• Hands on experience in ETL/ELT development using tools such as Azure Data Factory and/or Informatica PowerCenter/IICS.

• Experience in data pipeline design, orchestration, and monitoring.

• Hands on experience with semantic modelling in Azure Analysis Services, Power BI, or Microsoft Fabric.

• Good understanding of data warehousing concepts and data modelling (star schema, dimensional modelling).

• Exposure to DBT or similar transformation frameworks is a plus.

• Experience working with structured enterprise data sources.

• Good verbal and written English communication skills.

• Willingness and ability to write clear technical and user facing documentation.

Personal Qualities:

• Team player with a positive and customer focused mindset.

• Attentive to detail, quality, and delivery timelines.

• Comfortable working in multicultural and globally distributed teams.

• Curious, proactive, and motivated to learn and grow as a data professional.

• Able to work independently while contributing to shared team goals.

Nice To Have (Not Mandatory):

• Experience with Microsoft Azure data or analytics services.

• Exposure to Microsoft Fabric, Azure Synapse, or Snowflake.

• Experience with Power BI (report development or semantic layer usage).

• Scripting experience using PowerShell, Python, or similar.

• Experience working in an Agile environment using tools such as Azure DevOps or JIRA.

• Exposure to Data governance and version control (git /Azure devops repos).

Security and compliance with statutory requirements in the countries in which we operate is essential for DNV. Background checks will be conducted on all final candidates as part of the offer process, in accordance with applicable country-specific laws and practices.

About GSS
As the internal support organization for DNV and DNV owned companies, we deliver shared services within Human Resources, Finance, IT and Real Estate & Procurement to DNV globally. Our mission is to enable DNV to grow, succeed with its business goals and improve competitiveness. Customer experience is at the core of everything we do. GSS is responsible for many of the tools, processes and daily routines that create the backbone of DNV.