Job Overview

Airbus is hiring a Lead Software Engineer - Big Data in the Bangalore Area. This role focuses on technical leadership across the Airbus Skywise ecosystem and enterprise Big Data solutions. The position is suited to an experienced engineer who can combine hands-on development, performance optimization, architecture thinking, code quality, technical mentoring, and customer collaboration.

The role involves working with Skywise and Apache Spark-based data processing solutions. You will help establish engineering standards, improve data pipeline performance, investigate complex technical issues, review source code, and guide other developers. Because the team works with international stakeholders and European customers, strong communication and stakeholder management are important parts of the position.

Key Responsibilities

• Lead the design and implementation of scalable end-to-end performance optimization solutions within the Skywise environment.
• Translate complex business processes and requirements into reliable Big Data solutions.
• Define technical standards, coding practices, and engineering Golden Rules.
• Conduct source code audits and reviews to improve quality, maintainability, and reliability.
• Perform deep root-cause analysis for complex data pipeline and application issues.
• Design reusable server-side processing solutions using Python, Java, and Scala.
• Build and optimize data processing workloads using Apache Spark, PySpark, and Spark SQL.
• Apply lightweight processing technologies such as Polars and DuckDB when appropriate.
• Develop and support Skywise applications using Workshop, Slate, Object Explorer, and Foundry Ontology.
• Mentor developers and promote clean, robust, and maintainable code.
• Collaborate with European customers and business stakeholders to understand requirements and communicate technical solutions.
• Act as a technical bridge between business needs and Big Data implementation.
• Contribute to Agile delivery, technical decisions, and continuous improvement initiatives.
• Support delivery quality, performance optimization, customer satisfaction, and timely completion of milestones.

Required Skills

Strong hands-on Big Data engineering experience is essential. Candidates should be proficient with Apache Spark, PySpark, and Spark SQL, with PySpark specifically identified as mandatory. Strong Python programming ability is also required.

The role requires substantial experience with the Palantir Skywise ecosystem. Candidates should have hands-on Skywise development experience and familiarity with Workshop, Slate, Object Explorer, and Foundry Ontology.

Strong programming knowledge in Python, JavaScript or TypeScript, Java, and Scala is expected. SQL and relational database knowledge are also important for enterprise data solutions.

Experience with Git version control, CI/CD practices, and enterprise-scale software delivery is required. Candidates should understand how to create maintainable solutions and follow structured development practices.

Preferred Skills

Experience with lightweight data processing engines such as Polars and DuckDB is valuable. Familiarity with Pandas can also be useful, while exposure to SAP or ERP platforms is considered a strong advantage.

Experience with Agile methodologies such as Scrum, Kanban, or XP is preferred. Customer-facing experience, particularly working with European customers, is relevant to the role.

Education

A graduate degree in Computer Science, Information Technology, Engineering, or a related discipline is required.

Experience

The position requires at least 7 years of total IT experience. It also requires 4 or more years of hands-on Palantir Skywise development and at least 3 years of customer-facing support or service experience involving European customers.

Required Technologies

• Palantir Skywise
• Foundry Ontology
• Object Explorer
• Workshop
• Slate
• Apache Spark
• PySpark
• Spark SQL
• Polars
• DuckDB
• Python
• JavaScript
• TypeScript
• Java
• Scala
• SQL
• Relational Databases
• Git
• CI/CD
• Pandas
• SAP
• ERP

Soft Skills

This lead-level position requires strong analytical and problem-solving skills. You should be comfortable investigating complex technical issues, identifying root causes, and communicating solutions to technical and business stakeholders.

Clear communication is particularly important because the role involves European customers and distributed international teams. Mentoring, collaboration, stakeholder management, adaptability, and an Agile mindset will help you succeed.

Benefits of Working in this Role

The job description highlights opportunities to work on the Airbus Skywise ecosystem, solve enterprise Big Data challenges, contribute to technical standards, collaborate with international teams, and engage with European customers. The position also provides scope for technical leadership, mentoring, performance optimization, and architecture-level decision making.

Work Mode

The supplied job description does not explicitly state whether the position is onsite, hybrid, or remote. Candidates should confirm the applicable work arrangement with Airbus during the hiring process.

Location

The position is based in the Bangalore Area, India.

Who Should Apply

This opportunity is aimed at experienced Big Data engineers and technical leads with strong Skywise development expertise and enterprise data engineering experience. It is particularly relevant for professionals skilled in PySpark, Apache Spark, Spark SQL, Python, and Skywise application-building tools.

Candidates with experience leading technical improvements, optimizing data pipelines, reviewing code, mentoring engineers, and working directly with European customers should consider this role.

Career Growth

The Lead Software Engineer position offers exposure to technical leadership within an enterprise Big Data ecosystem. Ownership of optimization initiatives, engineering standards, technical analysis, and mentoring can strengthen expertise in Big Data architecture, platform engineering, technical leadership, and enterprise solution delivery.

Working with international teams and European stakeholders can also broaden experience in customer engagement, technical consulting, Agile delivery, and distributed software engineering.

Application Advice

Tailor your resume around the technologies and experience central to this position. Clearly highlight total IT experience, hands-on Palantir Skywise experience, PySpark, Apache Spark, Spark SQL, Python, JavaScript or TypeScript, Java, Scala, SQL, and Git.

If you have worked with Workshop, Slate, Foundry Ontology, or Object Explorer, make these skills prominent. Include practical examples of data pipeline optimization, performance tuning, root-cause analysis, source code auditing, or scalable Big Data solutions.

Also highlight customer-facing experience, especially work with European customers, along with Agile delivery, mentoring, CI/CD, and cross-functional collaboration. If you have experience with Polars, DuckDB, Pandas, SAP, or ERP platforms, include those as supporting skills.