Senior Data Engineer

About Indicium AI

Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability.

Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact.

ABOUT THE ROLE

As a Senior Data Engineer at Indicium AI, you will serve as a technical authority within client engagements — leading architectural decisions, owning the delivery of complex data platforms, and shaping engineering standards across the engagement.

This role requires someone who combines expert-level engineering with the communication skills to influence stakeholders, mentor colleagues, and drive the highest standards of data platform delivery.

KEY RESPONSIBILITIES

Architecture & Technical Leadership

• Lead the end-to-end design and delivery of scalable, production-grade data architectures including Data Warehouses, Data Lakes, and Lakehouses.
• Define data engineering standards, patterns, and guardrails used across the team and client engagements.
• Exercise full technical autonomy — propose, challenge, and refine architectural solutions with clients and internally.

Advanced Pipeline Engineering

• Architect, build, and maintain mission-critical ELT pipelines.
• Optimise complex data workflows for performance, cost efficiency, and long-term maintainability.

Infrastructure & Platform Engineering

• Own data infrastructure provisioning and lifecycle management via Infrastructure as Code (Terraform), ensuring scalability, security, and reliability at enterprise scale.
• Lead cloud architecture decisions across AWS and/or Azure, aligning platform choices to client strategy and commercial constraints.

Governance, Security & Reliability

• Establish and enforce data governance frameworks — access policies, data quality standards, lineage, and observability — in complex, regulated environments.
• Define and own SLA commitments for critical data pipelines, leading incident response and continuous improvement efforts.

Client & Stakeholder Engagement

• Act as a trusted technical advisor to senior client stakeholders, translating complex engineering decisions into clear business implications.
• Contribute to pre-sales and scoping conversations, helping shape technically sound and commercially viable engagements.

Mentorship & Team Development

• Mentor junior and mid-level engineers, fostering a culture of engineering excellence, curiosity, and continuous learning.
• Champion DevOps and DataOps practices — CI/CD, testing, observability, and documentation — as non-negotiable standards.
• Drive research into emerging technologies and tools, translating findings into practical recommendations for the practice.