Senior Data Engineer - Airside 4.0, ADB SAFEGATE Labs India.

Company : ADB SAFEGATE Labs India.

Location : Hyderabad (WFO).

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 :

1. 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.

2. 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.

3. 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, benefits, and professional development opportunities.