Fullstack Data Engineer - Applied & Agentic AI Systems

Roche Holding AG; Hyderabad; On-site; INR 3,500,000 - 6,000,000; Full time

Benefits offered by this job

Aucune mention spécifique de perks

Job summary

Roche Holding AG recherche un(e) Data Engineer expérimenté(e) à Hyderabad pour concevoir et maintenir des pipelines de données IA et GenAI dans un cadre cloud. Vous travaillerez dans des équipes autonomes et agiles, en assurant l’intégration des LLM, la sécurité des données et la conformité réglementaire tout au long du cycle de vie logiciel.

Compétences clés en Python, SQL, ETL/ELT et Snowflake. Le poste exige 7+ années d’expérience en data engineering, et une maîtrise des outils modernes

Qualifications

• Diplôme B.Sc., B.Eng. ou équivalent en informatique, ingénierie ou domaines connexes
• Intérêt pour l’IA et rester informé des avancées en data engineering
• Esprit d’équipe, proactif et collaboratif
• Bon niveau d’analyse et résolution de problèmes
• Excellentes compétences en communication écrite et orale
• Souci du détail et organisation
• Capacité à travailler dans un environnement rapide et dynamique
• Maîtrise de l’anglais au niveau C1+
• Situé à Hyderabad, Inde, overlap dia avec CET (golden hours)

Responsibilities

• Co-création d’applications IA génératives: collaborer avec les ingénieurs IA et data scientists dans des équipes Agile pour intégrer les LLM dans des applications évolutives centrées sur l’expérience utilisateur et les performances en temps réel
• Développement et intégration d’infrastructures de données: concevoir des pipelines évolutifs et haute performance pour les applications IA/GenAI
• Bases de données vectorielles: travailler avec des bases vectorielles pour une recherche de similarité rapide et le RAG
• Bases de données graphiques: utiliser Neo4j/AWS Neptune pour GraphRAG et traçabilité
• Ingénierie de données cloud: construire et maintenir des solutions dans AWS ou Azure
• Implémentation Snowflake: concevoir et optimiser le stockage et le traitement dans Snowflake
• Traitement et transformation des données: développer pipelines ETL/ELT en temps réel et batch
• Support des workflows de modèles IA: collaborer avec IA/ML pour l’intégration des pipelines
• Optimisation des performances: optimiser stockage et traitement
• Cycle de vie logiciel orienté agent: appliquer le SDLC agentique
• Sécurité et conformité: gouvernance des données et meilleures pratiques
• Surveillance et maintenance: configurer la surveillance et les alertes des pipelines

Skills

Data engineering

Python programming

Advanced SQL

ETL/ELT pipelines

Airflow

Vector DBs

Snowflake

Cloud architectures

Git & DevOps

Agentic SDLC

Education

BSc/BEng or equivalent

Tools

AWS OpenSearch

S3

Neo4j

Kubernetes

Terraform

CloudFormation

Docker

Job description

Chez Roche, vous pouvez être vous-même et être apprécié pour les qualités uniques que vous apportez. Notre culture encourage l'expression personnelle, le dialogue ouvert et les connexions authentiques, où vous êtes valorisé, accepté et respecté pour ce que vous êtes, vous permettant de prospérer tant personnellement que professionnellement. Voici comment nous visons à prévenir, arrêter et guérir les maladies et à garantir à chacun l'accès aux soins de santé aujourd'hui et pour les générations à venir. Rejoignez Roche, où chaque voix compte.

La position

Job description

Our Applied AI Engineering Team is seeking a fullstack AI Data Engineer to join a newly formed, autonomous development squad dedicated to pioneering agentic, LLM-based solutions. Operating across the entire lifecycle—from initial ideation and rapid prototyping to production-grade deployment and ongoing operations—you will architect the resilient data infrastructure required to power next-generation AI. We are looking for an expert capable of orchestrating both structured and unstructured datasets, implementing high-performance vector databases, and managing real-time streams within cloud-native environments.

Description of the area

At Roche Digital Technology, we are advancing the boundaries of Applied AI. The Applied AI Engineering Team focuses on architecting, building, and operating high-value AI solutions and services to solve complex business challenges in healthcare.

In the 2026 tech landscape, we operate in small, highly autonomous agile teams (e.g., 9 members) powered by advanced coding agents (like Claude Code) to develop and ship solutions faster than ever before. In this highly regulated environment, quality cannot be an afterthought. You will be the foundational pillar ensuring our rapidly developed agentic workflows and AI, GenAI, and agentic applications are safe, compliant, and robust before they reach the clinical or enterprise user.

Job Responsibilities

• Generative AI Application Co-creation: Collaborate with AI engineers, data scientists, product owners, and other developers in Agile teams to integrate LLMs into scalable, robust, fair, and ethical end-user applications, focusing on user experience, relevance, and real-time performance

• Data Infrastructure Development and Data Integration: Design and implement scalable, high-performance data pipelines for AI/GenAI applications, ensuring efficient data ingestion, transformation, storage and retrieval; integrate different databases, requiring understanding of data architectures / Domain data ecosystem

• Vector Databases: work with vector databases (e.g., AWS OpenSearch, Azure AI Search) to facilitate scalable, high-speed similarity search and RAG for generative AI applications with high-dimensional data.

• Graph Databases: Work with graph databases (e.g., Neo4j, AWS Neptune) to enable GraphRAG, support multi-hop logical reasoning for agentic workflows, and provide auditable explainability for enterprise AI decision-making.

• Cloud-Based Data Engineering: Build and maintain cloud-based data solutions using AWS (OpenSearch, S3) or Azure (Azure AI Search, Azure Blob Storage)

• Snowflake Implementation: Design and optimize data storage and processing using Snowflake for scalable, cloud-native analytics solutions

• Data Processing & Transformation: Develop ETL/ELT pipelines to enable real-time and batch data processing

• Support AI Model Workflows: Collaborate with AI/ML Engineers and Data Scientists to ensure seamless integration of data pipelines with AI finetuning, inference and training workflows

• Performance Optimization: Optimize data storage, retrieval, and processing strategies for efficiency, scalability, and cost-effectiveness

• Software Development Lifecycle: understand and leverage an agentic software development lifecycle (SDLC) in day to day work

• Security & Compliance: Implement data governance, security best practices, and compliance measures aligned with Roche’s standards

• Monitoring & Maintenance: Set up monitoring, alerting, and logging for data pipelines, ensuring high availability and reliability

Skills

Must have:

• Experience: 7+ years in data engineering, preferably supporting AI/ML applications

• Advanced Programming & SQL: Writing production-grade code in Python alongside highly optimized, complex SQL queries.

• Advanced System Architecture & Modeling: Designing scalable, fault-tolerant ETL/ELT data pipelines and Lakehouse architectures (e.g., Snowflake).

• Orchestration: Hands-on expertise with orchestration tools (like Airflow).

• Data Engineering in AI: Developing Retrieval-Augmented Generation (RAG), AI systems powered by Vector Databases and/or LLM fine-tuning, and data preparation

• Document Processing Proficiency: Extracting, transforming, and loading data from diverse file formats (PDF, DOCX, CSV, JSON, etc.), including automated parsing and information retrieval from unstructured and semi-structured documents

• Version Control & DevOps: Hands-on experience with Git, CI/CD, containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform, CloudFormation)

• Problem Solving: Excellent analytical skills and the ability to tackle complex challenges with innovative solutions

Should have:

• AWS Cloud Platforms: Hands-on experience with AWS (OpenSearch, S3, Lambda, AWS fundamentals)

• GraphDB: Experience in building solutions with GraphDB

• APIs & Microservices: Ability to design and integrate RESTful APIs for data exchange

• Data Security & Governance: Understanding of encryption and role-based access controls

• Working in an SDLC environment meeting regulatory requirements

• Proficiency in best practices of software engineering

• Agentic SDLC & Engineering Excellence: Leverage AI coding assistants and autonomous agents (e.g., Claude Code, Ona) daily to accelerate full-stack development and testing cycles. Conduct rigorous code reviews for both human-written and AI-generatd code.

Could have:

• Regulatory Compliance: Proven experience in working within highly regulated industries.

• Data Science & Classical Machine Learning: Practical background in Data Science, encompassing feature engineering, model training, and data preparation leveraging traditional ML techniques.

• Distributed Data Processing: Hands-on expertise with big data frameworks (like Apache Spark or Flink).

Capabilities:

• Problem-Solving Skills: Excellent analytical skills to tackle complex engineering and statistical challenges.

• Ownership & Leadership: Deep sense of accountability, eager to define architectural patterns, and able to step into a Tech Lead role when necessary.

• Consulting: Ability to work closely with stakeholders across the enterprise to consult on the technological approaches to their business problems.

• Ethics: Strong understanding of biases, fairness, hallucination mitigation, and responsible AI deployment.

Qualifications

• hold B.Sc., B.Eng., or higher, or equivalent in Computer Science, Data Engineering or related fields

• have an interest in AI and stay up to date with the latest advancements in data engineering

• be team-oriented, proactive, and collaborative

• have strong analytical and problem-solving skills

• have excellent verbal and written communication skills

• be detail-oriented and highly organized

• be willing to learn and expand their skill set

• have the ability to work collaboratively in a fast-paced, dynamic environment

• be able to communicate in English at the level of C1+

• Located in Hyderabad, India, with working hours structured to capture the 'golden hours' of overlap with Central European Time (typically running through the IST evening).

#Hyd2026

Qui nous sommes

Un avenir plus sain nous pousse à innover. Ensemble, plus de 100 000 employés à travers le monde sont dédiés à faire progresser la science et à garantir à chacun l'accès aux soins de santé aujourd'hui et pour les générations à venir. Nos efforts aboutissent à plus de 26 millions de personnes traitées avec nos médicaments et plus de 30 milliards de tests réalisés avec nos produits de Diagnostique. Nous nous encourageons mutuellement à explorer de nouvelles possibilités, à favoriser la créativité et à conserver nos grandes ambitions, afin de fournir des solutions de santé qui changent des vies et ont un impact mondial.

Construisons ensemble un avenir plus sain.

Roche est un employeur offrant l'équité en matière d'emploi.