Senior Data Engineer – Airside 4.0, ADB SAFEGATE Labs India

Company: ADB SAFEGATE Labs India

Location: Hyderabad

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 PROSPECT

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

Data Platform & Pipeline Development

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

Collaboration & Delivery

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





Proven experience building production-grade data pipelines processing large-scale datasets

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

Competitive package: Industry-leading compensation

📌 Senior Data Engineer (Hyderabad)
🏢 ADB SAFEGATE
📍 Hyderabad