Senior Data Engineer (Reporting & Analytics)

Kitman Labs; Greater Manchester; On-site; GBP 60,000 - 85,000; Full time

Job summary

A global human performance company is seeking an experienced Senior Data Engineer to enhance their analytics platform using cutting-edge technologies on Google Cloud Platform. The role involves architecting robust data models, implementing real-time data replication, and building scalable data transformation pipelines to support complex analytics. Strong experience with data engineering and a passion for solving complex data challenges are essential.

Qualifications

• Experience with designing and implementing complex data models.
• Proven ability to implement near real-time data replication using Change Data Capture.
• Strong knowledge of building scalable data processes and pipelines.

Responsibilities

• Architect and build the data foundation for the analytics platform.
• Drive data architecture and best practices within the team.
• Ensure the new platform delivers dynamic, insightful reporting.

Skills

Complex data challenges

Data modeling

GCP (Google Cloud Platform)

Real-time data replication

Data transformation pipelines

Tools

Looker

Job description

Overview

Kitman Labs is a global human performance company, disrupting and transforming the way the sports industry uses data to increase the performance of the world's top athletes. Driven by a passion to innovate in the areas of sports performance, analytics and user experience, we have assembled a team of the industry's top data scientists, sports performance scientists, product specialists and engineers. The company received recognition by Fast Company in 2019 as one of the most innovative companies in the world. Kitman Labs' advanced Outcome-driven Analytics and Performance Intelligence Platform are used by over 700 teams in 50 leagues on 6 continents spanning soccer, rugby, American football, baseball and ice hockey.

The Role We are seeking an experienced and highly skilled Senior Data Engineer to play a pivotal role in the evolution of our analytics platform. This mission-critical project involves augmenting our in-house platform with cutting-edge data engineering technologies on Google Cloud Platform (GCP) to achieve new levels of scale and performance, complemented by Looker for best-in-class visualization and analysis. This role will be central to this transformation, working within the team to architect and build the data foundation for our next generation of analytics. This position is ideal for an engineer who thrives on complex data challenges, including designing robust data models, implementing near real-time data replication using Change Data Capture (CDC), and building highly performant and scalable data transformation pipelines to handle complex business calculations across large datasets (over 300 million data points per customer). As a senior team member, you will drive data architecture and best practices, ensuring our new platform is performant, reliable, and capable of delivering the dynamic, insightful reporting our clients depend on.