Design Technician

ADB SAFEGATE; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

ADB SAFEGATE Labs India is building a data-centric, cloud-native platform to power Airside 4.0. The Senior Data Engineer will design scalable pipelines across IoT devices and airport systems, leveraging Databricks on Azure to enable real-time analytics and robust data governance.

Ideal candidates bring 5+ years in data engineering, strong Databricks/Azure experience, and proficiency in Python/Scala, SQL, and modern data architectures.

Qualifications

• 5+ years in data engineering, with cloud-based solutions
• Experience delivering scalable pipelines for IoT/data-intensive domains
• Strong data modeling and analytics capabilities

Responsibilities

• Design, build, and maintain scalable data pipelines on Databricks/Azure
• Architect solutions for large-scale structured and unstructured data
• Integrate real-time and batch data streams with high data quality
• Create optimized data models for analytics across domains
• Shape storage, processing frameworks, and integration patterns
• Mentor junior engineers and promote best practices
• Collaborate with Data Science/ML teams and DevOps for deployment

Skills

Databricks

Azure Data Services

Python/Scala

SQL

Streaming architectures

CI/CD

Data modeling

Education

Bachelor's degree

Master's degree

Azure/Databricks certifications

Tools

Docker

Kubernetes

Azure Data Factory

Airflow

Databricks Workflows

Job description

Company: ADB SAFEGATE Labs India

Experience: 5-7 years in Data Engineering role or equivalent

Who Are We?

ADB SAFEGATE is the global leader in airside solutions, supporting operations at more than 3,000 airports through a network of 40 offices worldwide.

We are establishing ADB SAFEGATE LABS in Hyderabad, our newest extension of global engineering capabilities. The Labs focus on building and evolving digital platforms, data-driven services, and AI-enabled solutions that support airport operations across Airfield, Apron, Tower, and Weather domains.

As part of a globally distributed engineering organisation, the Hyderabad Labs work closely with teams across Europe, the Americas, and Asia, contributing directly to solutions deployed at airports worldwide.

THE OPPORTUNITY

Build the data foundation for the future of airport operations.

We're seeking a Senior Data Engineer to architect and implement advanced data solutions that power our Airside 4.0 vision—the next generation of intelligent, automated, and connected airport operations.

What is Airside 4.0?

It's the digital transformation of airport ground operations, combining IoT sensors, real-time data streams, predictive analytics, and AI to make airports safer, more efficient, and more sustainable. Think: thousands of IoT devices generating real-time data on aircraft movements, lighting systems, weather conditions, gate operations, and ground equipment—all requiring sophisticated data pipelines and analytics platforms.

This role combines technical depth, architectural thinking, and the opportunity to shape how airports worldwide leverage data.

WHAT YOU'LL DO

• Design, build, and maintain scalable data pipelines using Databricks and Azure
• Architect solutions processing large-scale structured and unstructured data from IoT devices, airport sensors, and operational systems
• Integrate real-time and batch data streams ensuring high performance, reliability, and data quality
• Design optimized data models for analytics of structured, semi-structured, and unstructured data
• Make architectural decisions on storage strategies, processing frameworks, and integration patterns

Technical Leadership & Best Practices

• Mentor junior data engineers; establish coding standards, testing practices, and operational excellence
• Champion data governance, security, and compliance standards; drive CI/CD automation
• Lead technical design reviews and influence architectural decisions
• Proactively monitor, troubleshoot, and optimize pipeline performance and reliability
• Collaborate with Data Science, ML Engineering, Product, and Business teams to translate requirements into robust solutions
• Partner with Software Engineers and DevOps teams for seamless integration and deployment
• Document architectural decisions, data models, and processes for knowledge sharing
• Communicate technical concepts effectively to both technical and non-technical stakeholders

We’re Looking for Someone With:

• 5+ years in data engineering, with strong track record of delivering scalable solutions in cloud environments
• Expert-level experience with Databricks and Azure Data Services
• Experience with microservices architecture using Docker, Kubernetes
• Experience with real-time data processing (streaming architectures, event-driven systems)
• Deep understanding of data modeling techniques: dimensional modeling, data vault, star/snowflake schemas
• Expert knowledge of ETL/ELT best practices and modern data integration patterns

Preferred Qualifications

• Background in aviation, transportation, or mission-critical systems
• Advanced proficiency in Python or Scala for data processing and pipeline development
• Strong knowledge of SQL and query optimization techniques
• Experience with CI/CD pipelines, version control (Git), and automated testing in data engineering workflows
• Knowledge of data pipeline orchestration tools (Azure Data Factory, Airflow, Databricks Workflows)

Education:

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
• Relevant certifications (Azure, Databricks) are highly valued
• Equivalent experience with strong technical foundation considered

Why Join ADB SAFEGATE Labs India?

• Build from the ground up: Be part of the founding team at our ADB Safegate Labs India —shape processes, culture, and service excellence standards
• Global impact & exposure: Join a 1,500+ employee organization with presence in 40 countries; work on solutions deployed at 3,000+ airports worldwide
• Collaborative culture: Work in a flexible, innovation-driven environment that values technical excellence and continuous improvement
• Complex challenges: Support sophisticated airside systems combining IoT, real-time control, cloud platforms, and critical infrastructure