Data Engineer with AI Skills Job at NTT DATA (Bangalore)

Senior Data Engineer (with AI)

Provectus is a leading AI consultancy and AWS Premier Consulting Partner with 15...

Location

Poland , Wroclaw Metropolitan Area

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

6+ years of hands-on engineering experience with production systems
Full-stack mindset, comfortable across AI, Backend development, Data, and cloud infrastructure
Autonomous working style
Experience adopting AI tools in day-to-day workflows (e.g. Claude Code, GitHub Copilot, or similar)
Strong sense of ownership and proactivity
Openness to broadening skills into adjacent areas
B2+ English, comfortable collaborating across distributed, multicultural teams
Strong Python and SQL skills and solid software engineering fundamentals
Hands-on experience with Apache Spark for large-scale data processing
Proficiency with cloud data warehouse technologies: Snowflake, Redshift, or ClickHouse

Job Responsibility

Design, build, and maintain robust data pipelines and ML systems for production environments
Develop and deploy ML and LLM-based solutions addressing real client business challenges
Build and maintain ETL/ELT workflows using modern orchestration and distributed computing tools
Implement MLOps practices: CI/CD, automated testing, model monitoring, and experiment tracking
Architect and implement cloud-native data and AI/ML solutions, primarily on AWS
Collaborate closely with Data Scientists, AI/ML Engineers, Backend Engineers, and client stakeholders
Participate in code reviews, contribute to technical documentation, and share knowledge within the team
Engage in client-facing discussions to understand requirements and propose technical solutions

What we offer

Impactful work: projects span GenAI, MLOps, and NextGen data platforms for global enterprises across multiple industries
Senior-calibre peers: collaborate with top ML and Data professionals across North America, LATAM, and EMEA
Career growth: a clear path toward Tech Lead if you have the ambition — we actively develop our engineers
Recognised expertise: AWS Premier Consulting Partner featured in Forrester’s AI Technical Services Landscape

Data Engineer with Generative AI Expertise

We are looking for a skilled Data Engineer with expertise in Generative AI to jo...

Location

India , Jaipur

Salary:

Not provided

InfoObjects

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields
2-6 years of hands-on experience in Data Engineering
Proficiency in Generative AI frameworks (e.g., GPT, DALL-E, Stable Diffusion)
Strong programming skills in Python, SQL, and familiarity with Java or Scala
Experience with data tools and platforms such as Apache Spark, Hadoop, or similar
Knowledge of cloud platforms like AWS, Azure, or GCP
Familiarity with MLOps practices and AI model deployment
Excellent problem-solving and communication skills

Job Responsibility

Design, develop, and maintain robust data pipelines and workflows
Integrate Generative AI models into existing data systems to enhance functionality
Collaborate with cross-functional teams to understand business needs and translate them into scalable data and AI solutions
Optimize data storage, processing, and retrieval systems for performance and scalability
Ensure data security, quality, and governance across all processes
Stay updated with the latest advancements in Generative AI and data engineering practices

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
Excellent Python programming skills with data engineering libraries and frameworks
Advanced SQL capabilities including window functions, CTEs, and performance tuning
Solid understanding of distributed processing using Spark/PySpark
Experience designing and implementing scalable ETL/ELT workflows
Good understanding of data modeling concepts (dimensional, star, snowflake)
Familiarity with GenAI/LLM-based integration for data workflows
Experience working with Git, CI/CD, and Agile delivery frameworks
Strong communication skills for interacting with clients, stakeholders, and internal teams

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations

What we offer

Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
Hands-on exposure to modern data stacks and emerging AI technologies
Collaboration with experts across Data, AI/ML, and cloud practices
Access to structured learning, certifications, and leadership mentoring
Competitive compensation with fast-track career growth and visibility

Fulltime

Sr Staff Software Engineer (Data & Ai Platform)

We are looking for a talented and experienced Sr Staff Software Engineer to join...

Location

Israel , Petah Tikva

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field
At least 5 years of experience with Python
Minimum of 2 years of hands-on experience with AWS
Proven experience with the full Software Development Life Cycle (SDLC), including design, development, testing, and deployment
Excellent problem-solving skills and strong attention to detail
Ability to manage multiple projects simultaneously and strong organizational skills

Job Responsibility

Define and implement best practices for the R&D platform
Collaborate with internal and external stakeholders to understand requirements and deliver high-quality solutions
Work on edge technologies and cloud platforms to enhance our services
Participate in all phases of the SDLC, including design, development, testing, and deployment
Ensure high ROI on deliverables by optimizing processes and solutions
Share knowledge and best practices across the company to promote a culture of continuous improvement

Fulltime

Senior Engineer - AI & Data Science

Location

Poland

Salary:

15025.00 - 22500.00 PLN / Month

HSBC

Expiration Date

July 11, 2026

Requirements

Strong experience in delivering Data Science and similar solutions
Knowledge of ingestion and data preparation techniques, especially for use in AI solutions
Experience working with Cloud based APIs for Large Language Models is highly desirable
Very good Python skills and strong object-oriented programming concepts
Strong knowledge of software engineering architecture concepts for the build of multi-tier solutions that include user interfaces, data, workflow, and controls
Strong knowledge of technology and support practices to maintain a production grade user system, including testing practices
Strong experience working with developer tools and frameworks such as GitHub, Agile practices, Source control and branching concepts
Understanding of how Large Language Models work
Knowledge of web UI coding frameworks such as React, NodeJS, Angular, is desirable
Strong knowledge and experience of modern Agile and project management practices

Job Responsibility

Develop Python-based solutions for Global Finance business teams, including but not limited to Generative AI
Research and develop new techniques in data science, Generative AI and related areas to improve the quality of outputs
Perform detailed testing of prompts and data inputs and outputs
Maintain the codebase including frontend, backend, and algorithms in a engineering global team environment
Understand and implement appropriate governance and controls required
Face off to the business and other stakeholders, including but not limited to the business line teams, Global Finance Analytics, Transformation, Change/Project Management, IT, Governance teams
Contribute towards overall strategy development for the team
Work closely with the Quantitative Analytics teams to build software solutions that are practical, workable and comply with accounting, regulatory or other requirements

What we offer

Additional bonuses for recognition awards
Multisport card
Private medical care
Life insurance
One-time reimbursement of home office set-up (up to 800 PLN)
Cafeteria platform
Employee assistance program
Additional contributions to PPK scheme
Corporate parties & events
CSR initiatives

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

AI Data Engineer

We are looking for a technically sharp and detail-oriented Data Engineer to join...

Location

India , Bengaluru

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or a related discipline
4 – 5 years of hands-on experience in data engineering, ETL development, or analytics engineering roles
Demonstrable experience with Databricks and/or Microsoft Fabric in a production environment
Proficiency in Power BI report and semantic model development
Exposure to Collibra or equivalent data governance / cataloguing platforms is strongly preferred
Strong SQL and Python skills
PySpark experience is required
Familiarity with Azure cloud services and DevOps practices for data pipeline deployment

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Databricks (PySpark / Delta Live Tables), and Microsoft Fabric Data Factory
Transform raw, multi-source data into clean, conformed, and analytics-ready datasets following Medallion Architecture principles (Bronze → Silver → Gold)
Develop and optimize SQL and PySpark-based transformation logic for structured, semi-structured, and unstructured data
Implement incremental load patterns, merge/upsert logic, and slowly changing dimension (SCD) strategies to support historical data tracking
Collaborate with the AI Engineers to prepare high-quality feature datasets for ML and LLM use cases
Define, implement, and monitor data quality rules including completeness, accuracy, consistency, timeliness, and uniqueness checks
Administer and extend the Collibra data governance platform — including business glossary management, data lineage documentation, and stewardship workflows
Build automated data quality validation frameworks using tools such as Great Expectations, dbt tests, or Unity Catalog data quality constraints in Databricks
Triage and resolve data quality incidents, root-cause data anomalies, and communicate impact to stakeholders proactively
Maintain metadata catalogues and ensure all critical datasets have documented ownership, lineage, and classification

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior AI & Data Engineer

The Senior AI & Data Engineer is an individual contributor role that acts as the...

Location

India , Bengaluru

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, Engineering, Mathematics, or a related technical discipline
PhD is a plus
7 – 10 years of hands-on experience in AI/ML engineering, applied data science, or LLM engineering roles
Proven track record of delivering production AI systems
Deep expertise with at least two major LLM platforms (Claude, GPT, Gemini, or equivalent)
Significant experience with Collibra or an equivalent enterprise data governance platform
Demonstrated experience leading cross-functional AI initiatives and mentoring junior engineers
Strong ML fundamentals alongside modern generative AI skills
Experience with responsible AI practices, including fairness auditing, explainability, and content safety, is strongly preferred

Job Responsibility

Serve as the dual AI & data SME for the team and organization
Define and uphold engineering standards, design patterns, and best practices across both AI and data engineering disciplines
Lead technical discovery for new AI and data use cases
Participate in and lead cross-functional initiatives where AI and data strategy intersect
Mentor and upskill the Applied AI Engineer and AI Data Engineer
Architect and deliver complex agentic AI systems
Design and implement advanced RAG architectures
Lead LLM evaluation frameworks
Assess and implement LLM fine-tuning and alignment strategies
Own LLM integration architecture

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Select Country

Data Engineer with AI Skills

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?