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Our client, a fast-growing SaaS platform, is on a mission to transform their industry through data-driven innovation. They are looking for an Analytics Engineering Manager to take full ownership of their analytics engineering function, designing scalable data models, optimising transformations, and enabling high-quality insights across the business.
As the owner of Analytics Engineering, you will be the bridge between raw data and actionable intelligence. You’ll shape the company’s analytics strategy, partner with stakeholders to understand data needs, and deliver well-modeled, documented, and trustworthy datasets for both internal and customer-facing analytics solutions.
You’ll also spearhead the migration to a new self-service BI tool, ensuring the analytics layer is clean, well-structured, and ready to support data-driven decision-making at scale. Working as part of a small, high-impact team, you’ll have the autonomy to innovate and set the gold standard for analytics engineering in the organisation.
? 90% SQL-focused work with Python for custom tooling & ingestion workflows
? dbt for transformations & data modelling to create analytics-ready datasets
? Building and maintaining reliable, scalable ELT pipelines
? Designing and implementing data models optimised for self-service and ML use case
What We’re Looking For
Expert-level SQL skills & strong Python for automation and tooling
Hands-on experience with Cloud tech
Deep understanding of analytics engineering best practices, including data modelling methodologies (Kimball, Star Schema, Inmon)
An architecture mind to lead technical strategy
Proactive problem solver with experience in start-ups or small data teams
? London Hybrid – No sponsorship available
This is your chance to own and shape the analytics function in a high-impact role within a scaling SaaS business. If you’re looking for autonomy, technical leadership, and the opportunity to deliver business-changing insights—this is it! ?
You could be a Lead Analytics Engineer, Senior Analytics Engineer, Head of Data leading a small team. Someone with a passion for developing a team and still wants to be a key hands on player.
At Cognify we have many AE roles on so please apply even if this one isn’t quite the best fit
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