
HR Tech • Productivity • Education
&Evolve is a company dedicated to enhancing workplace cultures by aligning individual passions with organizational purpose. They offer various services including cultural diagnostics, employee engagement surveys, and bespoke leadership development programs aimed at fostering team cohesion and effective leadership. Through detailed analysis and targeted workshops, &Evolve helps organizations understand and address the core issues affecting employee engagement, driving transformation and success.
2 - 10 employees
Founded 2015
👥 HR Tech
⚡ Productivity
📚 Education
November 14

HR Tech • Productivity • Education
&Evolve is a company dedicated to enhancing workplace cultures by aligning individual passions with organizational purpose. They offer various services including cultural diagnostics, employee engagement surveys, and bespoke leadership development programs aimed at fostering team cohesion and effective leadership. Through detailed analysis and targeted workshops, &Evolve helps organizations understand and address the core issues affecting employee engagement, driving transformation and success.
2 - 10 employees
Founded 2015
👥 HR Tech
⚡ Productivity
📚 Education
• Join us to build a world‑class data and analytics platform that will reshape automotive retail. • Lead the engineering discipline that powers our data lake, warehouse, real‑time clickstream, and applied AI—turning large‑scale data into trusted, high‑impact products our customers use every day. • Own our AWS‑based datalake, warehouse and core data infrastructure, including security, reliability, cost efficiency and scalability. • Drive data modelling, transformation and pipeline standards through the lake/warehouse to power governed, reusable semantic layers and metrics. • Operate and evolve our real‑time event ingestion and processing to bring product telemetry and digital signals into the platform.
• Proven leadership of multi‑team data engineering organisations (platform, analytics engineering, streaming and ML/AI) in a product‑led, cloud‑native environment. • Data Architecture and operational expertise with AWS analytics services and modern data architecture (lake + warehouse + streaming under unified governance). • Strong track record shipping reliable, cost‑efficient pipelines at scale; credibility in SQL/Python and with at least one of dbt/Spark. • MLOps experience: feature pipelines, automated testing, model versioning/registry, promotion workflows and post‑production monitoring. • Excellent people leadership: hiring, developing and performance‑managing senior engineers; setting clear goals and creating psychological safety. • Effective stakeholder management and communication—from architecture decisions to executive updates.
• An inclusive environment to thrive • Professional development opportunities • Opportunities for career growth
Apply NowNovember 13
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