Job Description

Senior Data Engineer – Airside 4.0, ADB SAFEGATE Labs India

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Company: ADB SAFEGATE Labs India

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Location: Hyderabad

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

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Who Are We?

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

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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.

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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.

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THE OPPORTUNITY

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Build the data foundation for the future of airport operations.

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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.

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What is Airside 4.0?

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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.

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

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WHAT YOU'LL DO

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Data Platform & Pipeline Development

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

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- Mentor junior data engineers; establish coding standards, testing practices, and operational excellence
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- Champion data governance, security, and compliance standards; drive CI/CD automation
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- Lead technical design reviews and influence architectural decisions
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- Proactively monitor, troubleshoot, and optimize pipeline performance and reliability
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Collaboration & Delivery

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- Collaborate with Data Science, ML Engineering, Product, and Business teams to translate requirements into robust solutions
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- Partner with Software Engineers and DevOps teams for seamless integration and deployment
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- Document architectural decisions, data models, and processes for knowledge sharing
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- Communicate technical concepts effectively to both technical and non-technical stakeholders
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We're Looking for Someone With:

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

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

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- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
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- Relevant certifications (Azure, Databricks) are highly valued
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- Equivalent experience with strong technical foundation considered
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Why Join ADB SAFEGATE Labs India?

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