Data & AI Lead Engineer Job at NTT DATA (Bangalore)

Data & AI Lead Engineer

We are seeking a Lead Engineer – GenAI & Data Platform to design and build a CTA...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

10+ years in Data Engineering / Software Engineering / AI
Strong programming expertise in Python
Experience in Generative AI, LLMs, and Agentic AI frameworks
Strong experience in data engineering: ETL/ELT pipelines
Data modeling (dimensional, lakehouse, etc.)
SQL & large-scale data processing
Experience with RAG, embeddings, and vector databases
Hands-on with APIs, microservices, and distributed systems
Experience with data platforms (AWS Glue, Azure Data Factory, Databricks, Snowflake, etc.)
Knowledge of data governance, lineage, and quality frameworks

Job Responsibility

Architect and implement GenAI-powered workflows using LLMs and Agentic AI frameworks
Design RAG (Retrieval-Augmented Generation) pipelines over enterprise data sources
Enable automated generation of audit/compliance artefacts with high accuracy and traceability
Define prompt engineering, evaluation, and guardrails for enterprise use
Design and build data pipelines to ingest, transform, and serve data from: Data lakes / warehouses
Compliance and risk systems
Document repositories
Implement data models and semantic layers for AI consumption
Ensure data quality, lineage, and governance across pipelines
Work with both batch and real-time data processing

Fulltime

Lead Data Engineer – AI & Foundation Models

Our Purpose Mastercard powers economies and empowers people in 200+ countries a...

Location

Ireland , Dublin 18

Salary:

Not provided

Mastercard

Expiration Date

October 10, 2026

Requirements

Strong experience designing and building production‑grade data pipelines in large‑scale environments
Deep expertise with distributed data processing frameworks (e.g. Spark or equivalent) and SQL‑based analytics
Experience working with cloud data platforms and storage technologies (AWS, Azure, or GCP)
Solid understanding of data modeling, performance tuning, and cost‑efficient data architecture
Experience supporting machine learning and AI workloads, including training datasets, feature engineering, and inference data flows
Familiarity with data governance concepts, including lineage, data quality, access control, and auditability
Strong software engineering fundamentals, including version control, testing, CI/CD, and code quality standards
Ability to translate AI and product requirements into practical, scalable data solutions
Experience leading technical delivery and mentoring engineers, without formal line‑management responsibility
Clear, concise communicator able to collaborate effectively with engineers, data scientists, product managers, and stakeholders

Job Responsibility

Lead the design and implementation of scalable data pipelines supporting AI model training, inference, and experimentation
Own data ingestion, transformation, and aggregation patterns across batch and streaming workloads
Partner with AI engineers to enable feature engineering, feature stores, and training datasets aligned to model requirements
Ensure data pipelines meet enterprise standards for quality, availability, lineage, and governance
Drive best practices for data modeling, schema management, partitioning, and performance optimization
Implement robust data quality checks, validation, and monitoring to ensure trust in downstream AI systems
Collaborate with platform and infrastructure teams to build pipelines on cloud‑native and distributed data processing platforms
Support secure data access patterns, including environment isolation, access controls, and auditability
Lead code reviews and design reviews for data engineering deliverables across the program
Mentor and guide senior and mid‑level data engineers, providing technical direction and delivery oversight

Fulltime

Lead Data Engineer - AI Search

We are looking for a Lead Data Engineer — AI Search (all genders) to join Valtec...

Location

France , Paris

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

7+ years of professional software engineering experience in enterprise environments
Strong expertise in Google Cloud Platform (GCP) and AI ecosystems
Experience with AI Search, conversational AI, and generative AI integrations
Strong application architecture, API design, and enterprise integration experience
Solid understanding of cloud-native, microservices, and event-driven architectures
Experience with CI/CD pipelines, software quality, observability, and cloud security best practices
Experience working with Kubernetes and Infrastructure as Code
Technical leadership experience, including mentoring engineers and guiding technical decisions
Ability to collaborate across architecture, engineering, cloud, and data teams
Strong communication and stakeholder management skills

Job Responsibility

Define detailed technical design, components, interfaces, and integration patterns
Lead development teams and enforce engineering standards and best practices
Coordinate architecture, cloud/platform, data, QA, and business stakeholders
Ensure delivery quality through testing, observability, and application security practices
Guide teams on GCP and AI Search implementation patterns
Lead technical discovery, estimation, and solution design workshops
Identify technical risks and propose mitigation strategies early
Ensure scalable, reliable, and production-ready AI solutions
Contribute hands-on in complex and high-impact technical areas
Support industrialization and operationalization of AI and search use cases

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

Lead AI Data Engineer (Energy Intelligence Platform)

We are looking for a Lead Data Engineer to define and scale modern data practice...

Location

Poland

Salary:

Not provided

Airswift Sweden

Expiration Date

Until further notice

Requirements

Expert-level SQL and dbt experience (clean, testable, modular code)
Strong expertise in dimensional data modelling and complex data scenarios
Proven experience driving adoption of engineering standards across teams
Excellent stakeholder management and communication skills (technical to non-technical translation)
Deep understanding of the end-to-end data lifecycle (ingestion, transformation, consumption)

Job Responsibility

Define and enforce best practices across the data ecosystem (CI/CD, modular architecture, testing)
Lead advanced data modelling initiatives using SQL and dbt, ensuring scalable and reusable design
Design and implement robust data governance frameworks, including GDPR response ownership
Partner with Product to shape the Analytics Engineering roadmap and translate business needs into technical solutions
Promote a data-driven culture and influence standards across multiple teams

Fulltime

Principal Engineer, Computer Vision & AI /3D Data (Team Lead)

Cesium is the leading open platform for streaming and visualizing huge 3D geospa...

Location

Salary:

Not provided

Bentley Systems

Expiration Date

Until further notice

Requirements

PhD or equivalent in Computer Vision, AI, or Machine Learning
10+ years' experience as a Software Engineer
at least 5+ years leading and mentoring technical teams within a product driven environment
5+ years of experience in AI/3D vision development including industry experience of deploying AI and working with 3D data, including ML ops and practical, user-focused product development
Expertise in deep learning, computer vision, 3D geometry, and multimodal AI, including experience with large language models
Strong programming skills in Python and/or C++ with ML frameworks (PyTorch, TensorFlow), GPU programming (CUDA)
Excellent communication and leadership skills
Fluent in English

Job Responsibility

Lead and mentor a team of 5 engineers, providing technical direction and project coordination in computer vision and AI/3D data modeling projects, providing coaching and guidance
Design and deploy advanced AI/ML and 3D vision algorithms generated by our modelling team for large-scale datasets for practical, user focused product development including point clouds, meshes, sensor data and Gaussian splatting
Define the AI strategy and contribute to product roadmap decisions
Implement ML Ops practices for scalable, automated training and inference pipelines
Conduct research on emerging AI techniques for 3D understanding and integrate findings into production
Ensure quality through rigorous evaluation, optimization, and code reviews

What we offer

A great Team and culture
An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction
An attractive salary and benefits package
A commitment to inclusion, belonging and colleague wellbeing through global initiatives and resource groups
A company committed to making a real difference by advancing the world’s infrastructure for better quality of life, where your contributions help build a more sustainable, connected, and resilient world

Lead Data Engineer - Data Transformation (Modeling and Architecture)

Lead Data Engineer - Data Transformation (Modeling and Architecture). Do you lov...

Location

United States , Richmond, Virginia; McLean, Virginia; Cambridge, Massachusetts

Salary:

179400.00 - 225100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 4 years of experience in application development
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Job Responsibility

Build and maintain comprehensive data models—spanning conceptual, logical, and physical layers—to ensure scalable architecture and high data integrity across enterprise systems
Lead design of the org data landscape by applying Consumer Driven design principles, ensuring that data structures reflect business realities and evolving organizational needs
Architect and implement robust data ecosystem solutions, including Data Lake and Data Warehouse patterns, to support diverse analytical and operational requirements
Support high-performance data pipelines and complex transformations that utilize SQL, Spark, and Python to process large-scale datasets efficiently
Define and Enforce rigorous data governance standards while managing metadata frameworks to ensure data compliance and discoverability
Translate complex technical concepts into actionable business insights, working independently to lead initiatives and collaborate with stakeholders to meet organizational goals
Contribute to the evolution of the data ecosystem by designing AI-ready architectures
Collaborate with and across Agile teams to design, develop, implement, and support technical solutions
Work with a team of developers with deep experience in machine learning, AI, distributed microservices, and full stack systems
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Data Engineer Lead (OT Data)

Data Engineer (OT Data) (Category - Engineer) Sector: Oil and Gas Location: Doha...

Location

Qatar , Doha

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Bachelor's in engineering, Information Systems, or a related quantitative field
5+ years of proven experience in a data engineering role
Experience within oil and gas industry is highly preferred
Demonstrable experience building and operationalizing large-scale data pipelines and applications

Job Responsibility

Architect & Build Data Pipelines: Design, construct, install, test, and maintain highly scalable data management systems and ETL/ELT pipelines
Integrate Diverse Data Sources: Develop processes to ingest and integrate high-volume, high-velocity data from SCADA systems, historians (like OSIsoft PI, Aspen InfoPlus.21), DCS, PLC, and IoT sensors
Cloud Data Platform Development: Implement and manage data solutions on the Microsoft Azure cloud platform, Leveraging services like Azure IoT Hub, Azure Event Hubs, and Azure Stream Analytics for real-time ingestion and processing of operational technology (OT) data
Data Modelling & Warehousing: Design and implement data models optimized for time-series data from industrial assets, supporting operational dashboards and real-time analytics
Enable Advanced AI: Build the data infrastructure to support AI/ML models for predictive maintenance, operational anomaly detection, and process optimization using real-time OT data
Champion Master Data Management (MDM): Design and implement MDM strategies and solutions to create a single, authoritative source of truth for critical data domains such as wells, equipment, and assets, ensuring data consistency across the enterprise
Ensure Data Quality & Governance: Implement robust data quality checks, validation rules, and monitoring to ensure the accuracy, consistency, and reliability of our data. Adhere to and help shape our data governance policies
Embrace Industry Standards: Champion and implement industry-specific data standards and models, such as the OSDU™ Data Platform, to ensure interoperability and a unified data view across the upstream lifecycle
Collaborate & Innovate: Work closely with a cross-functional team of geoscientists, drilling engineers, data scientists, and business analysts to understand their data needs and deliver effective solutions
Automate & Optimize: Identify opportunities for process automation and infrastructure optimization to improve data delivery, scalability, and cost-effectiveness

Fulltime

Lead AI Engineer (Generative AI)

Location

Australia , Melbourne

Salary:

160000.00 - 170000.00 AUD / Year

Salt

Expiration Date

Until further notice

Requirements

2 – 4 years experience applying modern Generative AI in real delivery environments
A strong track record of providing technical leadership
A strong background in software engineering before stepping into a more AI-focused role in recent times
Deep expertise in Generative AI, large language models, retrieval‑augmented generation (RAG), and modern machine learning techniques
Strengths in prompt engineering, offline/online evaluation, safety guardrails, and telemetry‑driven improvement
Practical experience with RAG, embeddings/vector search, and tool‑use/function‑calling orchestration
The ability to define trustworthy AI metrics
A Software engineering background using the likes of React, Typescript, React Native
AWS experience / certifications
Strong knowledge of CI/CD

Job Responsibility

Accelerating the adoption of Generative AI for this company, leading the adoption of AI‑first engineering practices and an 'AI-first' mindset
Providing technical leadership and shaping AI-enabled solutions
Reporting into the Head of Technology and working closely with the Head of Enterprise AI
Collaborating with a variety of cross-functional teams including
Engineering, QA, BA, Product Management, Senior Business Stakeholders, Data Science, Cyber Security, Enterprise Architecture
Coaching and training engineers and leaders in the organisation in safe, effective AI‑assisted development
Encouraging teams to embed AI‑driven thinking in solution design and delivery
Defining and helping to operationalise trustworthy metrics to measure the impact of AI features, and developer productivity uplifts
Producing AI-augmented solution designs when required
Driving engineering excellence by uplifting standards, modernising technical practices, and championing AI‑aligned SDLC patterns

What we offer

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