Senior Data Engineer

We’re looking for a Senior Data Engineer / Emerging Architect who can operate at both deep technical and strategic levels someone who’s comfortable owning production delivery today while shaping platform architecture tomorrow. This is a high-impact transformation role within an enterprise environment operating at start-up speed. Role Overview: • Initial Phase (0–6 months): ~70–80% hands-on engineering • Transition Phase: Gradual shift toward architecture, design ownership, and platform strategy • End State: Majority focus on Data Architecture & technical leadership What You’ll Do: • Lead development of production-grade ETL pipelines (Python on AWS) • Stabilize and scale a live enterprise data platform under transformation • Act as a senior technical authority, guiding engineering standards and delivery • Drive architecture decisions, platform evolution, and long-term design • Stay close to the code while influencing enterprise-level data strategy What We’re Looking For Core Expertise: • Deep experience with AWS data ecosystems • Advanced Python engineering (production-level pipelines) • Strong background in ETL / data pipeline design & optimisation Architecture & Bonus Skills: • Experience in data architecture, distributed systems, and SQL • Exposure to Spark, Databricks, or similar big data tools • Multi-cloud familiarity (Azure, GCP) or JVM languages (Scala/Java) Why This Role Stands Out • Own Critical Transformation: Step into a platform that needs senior ownership now • Clear Architecture Pathway: Defined progression into a Data Architect role within 3–6 months • Hands-On + Strategic: Not a “slideware” role real engineering impact from day one