Senior Data Engineer

ABOUT THE ROLE

Data Engineering team is looking for a Senior Data Engineer who combines strong data engineering fundamentals with a genuine curiosity for using AI tools to work smarter, not just harder. You will design and build scalable data pipelines and models on Snowflake, orchestrate integrations through SnapLogic, and use dbt to bring rigor and testability to our transformation layer — while also actively exploring how AI copilots and agentic tools can speed up development, debugging, documentation, and data quality work.

This is not an “AI engineer” role — it is a data engineering role for someone who is already fluent with tools like Cortex, GitHub Copilot, Claude, or ChatGPT in their daily workflow and sees them as a natural extension of good engineering practice, not a gimmick.

WHAT YOU'LL DO

• Design, build, and maintain robust ETL/ELT pipelines feeding a Snowflake-based data platform
• Build and manage integrations using SnapLogic to connect source systems, APIs, and downstream consumers
• Develop and maintain data models and transformations in dbt, including tests, documentation, and CI/CD-based deployment
• Design dimensional and/or medallion-style (Bronze/Silver/Gold) data architectures that balance performance, cost, and usability
• Use AI-assisted tools to accelerate development — generating boilerplate code, drafting SQL/dbt models, writing documentation, debugging pipeline failures, and summarising data quality issues
• Partner with data quality, governance, and analytics teams to ensure data is well-modelled, well-documented, and trustworthy
• Optimise Snowflake warehouse performance and cost (query tuning, clustering, resource monitors)
• Write clean, tested, version-controlled code and contribute to CI/CD pipelines
• Mentor junior engineers, including on how to use AI tools responsibly and effectively (e.g., reviewing AI-generated code, not blindly trusting output)
• Contribute to internal standards for prompt patterns, reusable AI workflows, or tooling that make the whole team faster

CORE SKILLS

• Snowflake — strong hands-on experience with data modelling, performance tuning, security/access, and cost management
• SnapLogic — building and maintaining integration pipelines and connecting heterogeneous source systems
• dbt — writing modular, tested transformations; managing dependencies, macros, and documentation
• Data Modelling — dimensional modelling, medallion/layered architectures, normalisation vs. denormalisation trade-offs
• Strong SQL and at least one scripting language (Python preferred)
• Familiarity with orchestration tools (Airflow, ADF, or similar)
• Working knowledge of git-based CI/CD workflows