The AI & Data Engineering team builds the engineering foundation for Technology Standards’ transformation into an AI-first organization. Our scope spans Agentic AI and AgentOps, data engineering, common software platforms, and compute and simulation capabilities.
Our Data Engineering mission is to ingest and process external standardization data, including 3GPP, O-RAN, JVET, MPEG, Wi-Fi and ITU-R, together with internal high-value datasets, into reliable, linked and AI-ready data assets.
As a Senior AI Data Engineer, you will take end-to-end ownership of data engineering solutions supporting Q365, Technology Standards Research & Innovation, and Patenting. You will work hands-on across architecture, data pipelines, cloud platforms, metadata, quality and production operations, collaborating closely with AI engineers, researchers, standards experts and patenting stakeholders.
The role combines strong software and data-engineering capabilities with the ability to translate research and business needs into scalable, reliable and production-ready solutions.
- Own data solutions from requirements and architecture through deployment, operation and continuous improvement.
- Build scalable ingestion, transformation and processing pipelines for standards and strategic datasets.
- Transform complex information into structured, reliable and AI-ready data assets.
- Develop AI/LLM-assisted data processing, semantic ingestion and retrieval capabilities.
- Strengthen metadata, data quality, lineage, freshness, observability and reliability.
- Develop and operate solutions using Python, Kubernetes, Spark, PostgreSQL, Elasticsearch and Microsoft Fabric.
- Enable AI, LLM and agentic applications through high-quality data and knowledge services.
- Provide technical guidance and knowledge sharing while remaining hands-on in solution delivery.
You have:
- Strong hands-on experience in production-grade data and software engineering.
- Strong Python skills and experience designing automated data pipelines.
- Experience with distributed data processing, data modelling, metadata and data quality.
- Experience with PostgreSQL, Elasticsearch or comparable data and search technologies.
- Cloud-native engineering, Kubernetes and container experience.
- Knowledge of CI/CD, monitoring and production operations.
- Ability to translate complex or ambiguous requirements into scalable technical solutions.
- Strong ownership, collaboration and communication skills, with the ability to guide other engineers while remaining hands-on.
It would be nice if you also had:
- Experience with Microsoft Azure and Microsoft Fabric.
- Experience with Spark, BigQuery, OLAP or similar data and analytics technologies.
- Experience with LLM-assisted data processing, embeddings, vector search or semantic retrieval.
- Knowledge of knowledge graphs, linked data or semantic-data architectures.
- Experience with Power BI, Apache Superset or similar visualization tools.
- Familiarity with 3GPP, O-RAN, Wi-Fi, MPEG, JVET or ITU-R data.
- Experience with research, standardization, intellectual property or patenting-related data and use cases.
About Us
Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.
Our recruitment process
We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.
If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.
The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.
Some of our benefits in India:
- Flexible and hybrid working arrangements to support work–life balance
- Health and well-being support – medical insurance for you and your family, health check-ups, life and accident insurance, well-being programs, and employee resource groups
- A minimum of 90 days of Maternity and Paternity Leave based on eligibility
- Personal Support Service 24/7 – a confidential support channel open to all Nokia employees and their families in challenging situations
- Career growth & mobility – technical career paths, job rotations, international assignments, and relocation support
- Continuous learning – technical certifications, mentoring programs, coaching, and digital learning platforms
- Opportunities to innovate and contribute through Nokia’s research and development environment
- Recognition programs that celebrate outstanding contributions
- Workplace support – ergonomic working support and mobile device programs based on eligibility
Skills Required
- Strong hands-on experience in production-grade data and software engineering
- Strong Python skills and experience designing automated data pipelines
- Experience with distributed data processing, data modelling, metadata, and data quality
- Experience with PostgreSQL, Elasticsearch, or comparable data and search technologies
- Cloud-native engineering, Kubernetes, and container experience
- Knowledge of CI/CD, monitoring, and production operations
- Ability to translate complex or ambiguous requirements into scalable technical solutions
- Strong ownership, collaboration, and communication skills, with the ability to guide other engineers while remaining hands-on
- Experience with Microsoft Azure and Microsoft Fabric
- Experience with Spark, BigQuery, OLAP, or similar data and analytics technologies
- Experience with LLM-assisted data processing, embeddings, vector search, or semantic retrieval
- Knowledge of knowledge graphs, linked data, or semantic-data architectures
- Experience with Power BI, Apache Superset, or similar visualization tools
- Familiarity with 3GPP, O-RAN, Wi-Fi, MPEG, JVET, or ITU-R data
- Experience with research, standardization, intellectual property, or patenting-related data and use cases
Nokia Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nokia and has not been reviewed or approved by Nokia.
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Equity Value & Accessibility — Equity programs include a global employee share purchase plan with company matching and multi‑year share awards. These mechanisms broaden participation and tie rewards to long‑term outcomes.
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Healthcare Strength — Health coverage includes major medical plans with supplementary options such as vision, legal services, and care navigation. The range of offerings indicates comprehensive support for medical needs.
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Parental & Family Support — A global policy grants paid leave for new parents regardless of gender and provides structured return‑to‑work support. Company‑paid life insurance further strengthens family protection across regions.
Nokia Insights
What We Do
At Nokia, we create technology that helps the world act together. As a trusted partner for critical networks, we are committed to innovation and technology leadership across mobile, fixed and cloud networks. We create value with intellectual property and long-term research, led by the award-winning Nokia Bell Labs. Adhering to the highest standards of integrity and security, we help build the capabilities needed for a more productive, sustainable and inclusive world.
