Equal Experts is an innovative global consultancy that works closely with clients, from blue-chip multinationals and public sector organisations to tech startups. We help clients shape their data transformations, from blueprint and lean delivery methods, to developing reproducible data product pipelines. We walk the data journey with them.
As a technical leader in the data space you will be challenged to help solve interesting and complex data problems that our clients face. You will be part of a team that helps clients adopt processes that meet needs and deliver value. Supported by a global network of engineering, product and delivery minds you will be a key part of our clients journey and success.
Responsibilities As trusted advisor to our clients product, engineering and architecture leadership to help shape and validate patterns, solutions that enable teams to rapidly and autonomously develop value generating data/insight products
Evidence-driven approach to making decisions and framing/scoping work
Effectively work across multiple teams, synthesising needs and pain points to support roadmap development and prioritisation
Be a pathfinder
collaborate in product discovery and inception
spike proof-of-concepts and exemplars to demonstrate, validate designs, patterns or show the art of the possible
Lead, collaborate in conducting analysis and synthesise quantitative and qualitative evidence/findings with respect to technology choices.
Collaborate with clients to define and influence patterns and designs that enable engineering teams high-quality, light-weight Request for comments (RFCs) and architectural decision records (ADRs)
Present/communicate proposals and motivations to senior stakeholders
Demos, talks to engineers and products teams Required Skills A deeply experienced software/data engineering or full-stack data science background
A servant‑leader, low‑ego and empathetic professional who is confident to provide reasoned, evidenced opinions
Collaborative and a mentor to both client staff and our own consultants
A product mindset balanced with engineering reasoning
Strong advocate (having lived and breathed) engineering discipline including
Automated testing, TDD, CICD
Infrastructure as code
A strong advocate for agile practices and value driven decision making
Deep experience in developing data platforms in complex organisational technology estates using one or more of the hyper cloud providers (AWS, GCP, Azure) data stacks.
A strong understanding of data science and AI/ML operation concerns, model training, monitoring, performance attribution.
Excellent communication skills – able champion solutions with senior stakeholders/leadership by distilling and synthesising technical complexities into crisp insights and calls to action
