Live opening · Posted 2 days ago
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About the role
Description supplied by the original job listing.
Delta TechOps IT is seeking a Software Development Engineer who will contribute to the design, development, and enhancement of scalable backend and full-stacksystems supporting retail applications such as order management, catalogue services, cart operations, and store operations. The role focuses on building reliable microservices, APIs, cloud-native solutions, and AI-enabled capabilities while collaborating closely with senior engineers and cross-functional teams.
The ideal candidate will leverage modern engineering practices, including AI-assisted development, agentic capabilities, automation-first approaches, and Human + AI collaboration models to improve productivity, code quality, operational efficiency, and delivery velocity. This role offers an opportunity to work on next-generation retail platforms aligned with the organisation's future-state architecture and AI-first engineering vision.
Requirements:
Foundational and Advanced Data Engineering Experience: Hands-on experience designing and maintaining scalable pipelines. Covers ETLs, data modelling, schema design, pipeline orchestration, and structured/semi-structured data formats (JSON).
SQL (Advanced): Strong command of SQL for transformation, analysis, and optimisation. Includes window functions, CTEs, subqueries, and performance tuning across platforms like Snowflake, BigQuery, or Azure Synapse.
Python (Advanced): Production-grade Python for data engineering. Includes pandas, polars, or PySpark for data manipulation, REST API integrations, and writing clean, testable, well-documented code.
Experience with Data and Low-Code Platforms: Hands-on with at least one enterprise data or app platform (e. g., Palantir Foundry, Microsoft Power Platform, Azure Data Factory, or Databricks).
Experience Using LLMs in a Development Context: Practical experience integrating LLMs into workflows or applications via prompt engineering, APIs (OpenAI, Azure OpenAI, Anthropic), or RAG pipelines.
Basic UI / Application Development Skills: Ability to build or configure simple user-facing applications, whether through code or low/no-code tools. Examples include: building dashboards or apps in Power Apps, Power BI, or Workshop; or front-end development with HTML/CSS/JavaScript.
Write clean, efficient, maintainable, and well-documented code following engineering best practices.
Strong analytical, debugging, and problem-solving abilities.
Good communication and collaboration skills.
Basic hands-on experience with AWS cloud services.
Experience with source control systems such as GitHub or GitLab.
Good to Have:
Bachelor's degree in computer science, Information Systems or related technical field is preferred.
Experience working in an airline technology environment is preferred.
AWS Certified Developer certification.
Experience with a modern front-end framework is a plus.
Experience with microservices architecture and serverless computing.
Understanding of networking and security principles in cloud environments.
Familiarity with Model Context Protocol (MCP) for connecting AI models to external tools and data sources.
AI-First Engineering Skills:
Hands-on experience leveraging AI-enabled development tools such as GitHub Copilot, ChatGPT, Amazon Q, Kiro, Cursor, CodeWhisperer, or equivalent AI coding assistants throughout the software development lifecycle.
Practical experience using AI tools for code generation, debugging, refactoring, test case creation, documentation, code reviews, and developer productivity improvements.
Understanding of AI-assisted software engineering practices and prompt engineering fundamentals.
Awareness of agentic AI concepts, intelligent automation frameworks, and autonomous workflow orchestration.
Ability to effectively operate within Human + AI collaboration models, integrating AI-generated outputs into engineering workflows while ensuring quality and security standards.
Demonstrated AI-first and automation-first engineering mindset.
Preferred Skills:
2 - 4 years of professional software development experience.
Palantir Foundry Experience: Direct experience building in Foundry, ideally across transforms (Python/SQL), Ontology configuration, Workshop, Pipeline Builder, or OSDK.
TypeScript: Proficient in TypeScript for Foundry-native development, such as Functions (v1/v2), custom Workshop widgets, or OSDK-powered applications.
OSDK React Application Development: Experience: Building front-end apps with Palantir's Ontology SDK using React and TypeScript. Familiarity with Blueprint.js is a plus.
Cloud Platform Familiarity: Working knowledge of Azure, AWS, or GCP, particularly storage, compute, and data services (e. g., Data Lake, S3 BigQuery).
Data Governance and Security Awareness: Familiarity with RBAC, data markings, row-level security, and data classification best practices.
DevOps / CI/CD Practices: Experience with Git workflows, automated testing, and deployment pipelines in a data or platform engineering context.
Ontology / Semantic Data Modelling: Ability to design meaningful object types, link types, and relationships that map raw data to real-world business concepts.
Testing and Code Quality: Experience writing unit/integration tests (e. g., pytest, transform expectation testing) with a focus on documentation and maintainable code.
Experience
2-4 yrs
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