Senior Data Engineer - Databricks
First seen by Alion on Oct 22, 2026.
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 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.
Salary : Hidden.
Skills
Data Engineering, Databricks, Azure Databricks, Python, Scala, SQL, ETL, Data Modeling, Azure Data Factory, Data Services