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Simple Machines

Data architecture, engineering, science, and apps

Director – Technology

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedHybrid

About the Job

Requirements

  • 15+ years in software and technology, with a substantial part of the career spent hands-on as a software engineer and progressing through the engineering or technical path into architecture and technology leadership.
  • Significant experience within a recognized technology consultancy, working directly with complex enterprise clients.
  • Personal experience in discovery, proposition and solution shaping, proposals, requests for proposals, tenders, pitches, and winning consulting work.
  • Significant experience designing and delivering technology within complex Tier 1 environments; banking, trading, telecommunications, wagering, and insurance are particularly relevant.
  • Strong software, solution, and enterprise architecture capability.
  • Proven senior client leadership and experience leading and developing engineers, technical leads, and architects.

Responsibilities

  • Get close to the most complex software engineering engagements and help ensure their success.
  • Lead the engineering of modern software solutions, increasingly including AI-native and agentic applications and systems.
  • Work directly with engineers, technical leads, and architects to solve difficult technical and delivery problems.
  • Review architecture and engineering approaches, challenge decisions, and step in where senior technical leadership is needed.
  • Drive strong engineering practices and ensure emerging AI and agentic solutions are engineered with enterprise-grade rigor.
  • Own the technical quality of the work and ensure delivered work meets a high standard.
  • Shape software, solution, and enterprise architecture across major client programs.
  • Make pragmatic architecture decisions that balance engineering quality, enterprise constraints, and delivery.
  • Provide technical assurance across the portfolio while remaining close to engineering.
  • Stay technically current and credible with senior engineers and architects.
  • Help ensure continued success and growth of strategic enterprise accounts.
  • Act as a trusted technology adviser to senior client stakeholders.
  • Sell ideas and approaches to clients and internal stakeholders, building alignment and bringing people along.
  • Work across consulting, delivery, data, and AI to shape joined-up solutions and propositions.
  • Lead difficult technology, architecture, and stakeholder conversations when senior intervention is required.
  • Open new client relationships and lead early-stage technology conversations.
  • Turn client problems into compelling propositions, architectures, and delivery approaches.
  • Personally shape proposals, pitches, requests for proposals, and major pursuits.
  • Ensure what is sold is technically credible, commercially compelling, and deliverable.
  • Work across the organization to assemble the capabilities and support required to win and grow work.
  • Lead, mentor, and develop the UK technology team.
  • Develop senior engineers, technical leads, principal engineers, and architects through real client work.
  • Set a high bar for engineering craft, architecture, and technical leadership.
  • Help attract exceptional technical talent and build a high-performance, low-ego engineering culture.

About the Company

Simple Machines

Data architecture, engineering, science, and apps

Simple Machines is an Australian consulting firm that combines data architecture, data engineering, data science and software development to build large-scale, distributed data platforms and machine learning applications. They design end-to-end data systems that process streaming and batch data at massive scale and help clients operationalize analytics and AI in real-world apps. Unlike firms that offer only consulting or only training, they pair hands-on implementation with formal partnerships—Confluent for Kafka, Databricks for Spark, and Lightbend for Scala—across advisory, implementation, and training. Their goal is to help enterprises, governments, and global tech companies unlock the value of their data through scalable, reliable data pipelines and AI workloads.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Sydney NSW, Australia
Founded
2008

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