Cloud Data Engineer

Data Engineer NNIT AI Center of Excellence ________________________________________ About the Role As a Data Engineer, you'll design, build, and maintain enterprise data platforms that enable Artificial Intelligence, analytics, and digital transformation. Working within NNIT's AI Center of Excellence, you'll develop scalable, trusted, and AI-ready data solutions that support business-critical applications across global organizations. You'll collaborate with solution architects, AI engineers, consultants, product owners, and business stakeholders across Europe, Asia, and other regions to design modern data platforms that power enterprise AI and advanced analytics. Success in this role requires strong data engineering fundamentals, systems thinking, and the ability to transform complex business requirements into scalable, high-quality data solutions that enable informed decision-making and AI innovation. ________________________________________ What You'll Do Build Data Platforms Design and develop modern data platforms that transform raw data into trusted, AI-ready information assets. You'll: • Design and develop enterprise data pipelines using ETL/ELT frameworks. • Build scalable data lakes, lakehouses, and cloud-native data platforms. • Develop semantic models and AI-ready datasets for analytics and AI workloads. • Integrate data from enterprise applications, cloud platforms, APIs, and external data sources. • Design scalable, secure, and maintainable data architectures. ________________________________________ Engineer for Scale Build enterprise data solutions that are reliable, secure, and optimized for performance. You'll: • Improve data quality, reliability, availability, and observability. • Optimize data pipelines for scalability, performance, and cost efficiency. • Apply modern data engineering, testing, and DevOps practices. • Build reusable frameworks, templates, and engineering standards. • Support enterprise data governance and platform modernization initiatives. ________________________________________ Partner with Stakeholders Work closely with technical and business teams to deliver trusted data that powers reporting, analytics, and AI solutions. You'll: • Translate business requirements into scalable data solutions. • Collaborate with AI engineers, architects, analysts, consultants, and business stakeholders. • Support enterprise reporting, analytics, and AI initiatives. • Recommend improvements to data architecture, engineering practices, and platform capabilities. • Share knowledge and contribute to the growth of the AI Center of Excellence. ________________________________________ What Success Looks Like Success in this role means you: • Deliver scalable and reliable enterprise data platforms. • Improve data quality, accessibility, and operational efficiency. • Enable AI-ready data for analytics and intelligent applications. • Contribute reusable engineering assets and best practices. • Support the continued growth and technical maturity of NNIT's AI Center of Excellence. ________________________________________ What You'll Bring We're looking for engineers who combine technical expertise with business understanding, collaboration, and continuous learning. Education • Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or a related field. Professional Experience • 4–7 years of Data Engineering or Software Engineering experience. • Strong SQL and Python programming skills. • Experience building enterprise data platforms and ETL/ELT pipelines. • Experience working with cloud-based data platforms. • Experience delivering solutions using Agile methodologies. • Experience working within consulting, enterprise IT, or global delivery organizations is highly desirable. Core Competencies • Strong analytical and systems thinking. • Solid data engineering fundamentals. • Ability to translate business needs into scalable data solutions. • Excellent written and verbal English communication skills. • Ability to work effectively with technical and non-technical stakeholders. • Ownership, accountability, and commitment to continuous learning. ________________________________________ Technologies You'll Use You'll work with modern cloud data platforms and engineering tools that enable enterprise analytics, reporting, and Artificial Intelligence. While experience with every technology isn't required, we're looking for engineers with a strong technical foundation and the ability to learn and adopt modern data technologies. Programming Develop scalable data solutions using modern programming languages and database technologies. • Python • SQL ________________________________________ Data Platforms Design enterprise data platforms that support analytics, reporting, and AI workloads. • Microsoft Fabric • Azure Data Factory • Databricks • Snowflake • Lakehouse Architecture • Delta Lake • Data Build Tool (DBT) (preferred) ________________________________________ Cloud Engineering Build secure, scalable, and maintainable cloud-native data solutions. • Microsoft Azure • REST APIs • Git • Docker • CI/CD ________________________________________ Working in a Global Delivery Environment At NNIT, you'll work as part of One Global Team, collaborating directly with architects, consultants, AI engineers, analysts, and business stakeholders across Europe, Asia, and other regions. You'll contribute throughout the data solution lifecycle—from architecture and engineering to deployment and continuous improvement. Experience in the following environments is preferred: • Global consulting firms. • Enterprise technology organizations. • Global Capability Centers (GCCs). • Shared Services organizations. • Multinational delivery teams operating across multiple countries and time zones. • Customer-facing or cross-functional project environments. ________________________________________ Industry Experience Many of our customers operate in highly regulated industries where trusted data, security, compliance, and governance are business-critical. Experience supporting these environments will help you design enterprise data platforms that meet operational and regulatory expectations. Experience supporting one or more of the following industries is advantageous: • Life Sciences • Pharmaceuticals • Biotechnology • Healthcare • Medical Devices • Banking Financial Services • Insurance • Manufacturing Exposure to enterprise data governance and compliance frameworks such as GxP, CSV, GDPR, HIPAA, ISO 27001, or similar standards is beneficial but not required. ________________________________________ Your Background This role is well suited for professionals who have built enterprise data platforms while working closely with business stakeholders and cross-functional delivery teams. Previous Roles • Data Engineer • Analytics Engineer • Cloud Data Engineer • Data Platform Engineer • Business Intelligence Engineer • ETL Developer Previous Environments • Global Consulting • Enterprise IT • Global Capability Centers (GCCs) • Shared Services • Multinational Technology Companies ________________________________________ Additional Experience Experience with the following technologies or practices will help you contribute more quickly: Data Analytics • Microsoft Purview • Microsoft Power BI • Data Governance • Master Data Management (MDM) • Data Catalogs • Data Quality Frameworks AI Modern Data • Vector Databases • AI-ready Data Platforms • Real-time Data Streaming • Infrastructure as Code ________________________________________ How We Work Our engineering culture emphasizes collaboration, quality, and continuous improvement. • Hybrid work arrangement. • Agile delivery methodology. • Cross-functional global teams. • Direct collaboration with international stakeholders. • Continuous learning and knowledge sharing. ________________________________________ Why Join NNIT's AI Center of Excellence? Joining the AI Center of Excellence gives you the opportunity to build the data foundation that powers enterprise AI and digital transformation for global organizations while expanding your expertise across cloud data platforms, Artificial Intelligence, enterprise consulting, and global delivery. Build Solutions That Matter Design enterprise data platforms that enable AI, analytics, and data-driven decision-making. Work Across Borders Collaborate with experienced architects, consultants, engineers, and business leaders across Europe, Asia, and other international locations. Grow Your Expertise Expand your capabilities across cloud data engineering, Artificial Intelligence, enterprise consulting, and global delivery while working with modern Microsoft and cloud technologies. Shape the Future Help define how enterprise data platforms are designed, governed, and leveraged to accelerate AI adoption within NNIT and for our global customers. ________________________________________ You'll Thrive Here If... • You enjoy designing scalable and reliable data platforms. • You think like a consultant as well as an engineer. • You take ownership from architecture through production. • You collaborate effectively with global teams and business stakeholders. • You continuously learn emerging cloud, data, and AI technologies. • You believe trusted data is the foundation of successful AI solutions. ________________________________________