Head of Data Engineering

at  Snap Analytics

COMPANY OVERVIEW

This is an exciting and unique opportunity to join a scaling data analytics consultancy that only works with the latest modern cloud platforms. As a Snowflake, Matillion and Sigma partner you will be at the cutting edge of modern cloud solutions.
Snap Analytics are a customer-focussed consultancy with offices in the UK and India that work with organisations to help them achieve their strategic ambitions through the use of cloud analytics solutions. We use our innovative Snap 360 delivery framework along with a culture of teamwork and knowledge sharing to exceed customer expectations.
Our team thrives on solving complex migration and warehousing problems. As a result of internal promotion, we are looking for a dynamic, commercially driven Head of Data Engineering to lead and grow our data engineering practice in the UK and contribute to the winning of new business.

Leadership & Strategy: Lead and scale the data engineering team, establishing best practices and guiding the strategic direction of the data engineering function within the organisation.
Client Relationship Management: Build strong, long-lasting relationships with clients, understanding their needs, ensuring our data solutions align with their business objectives in the short and longer term.
Solution Design: Architect, design, and deliver data engineering solutions that are scalable, reliable, and tailored to client needs, using modern cloud platforms and big data technologies.
Winning Work: Play a crucial role in identifying new business opportunities, pitching data solutions, and contributing to the consultancy’s business development efforts.
Cross-functional Collaboration: Work closely with data visualisation, data science, ai and other teams to ensure integrated and efficient data strategies across projects.
Mentoring & Development: Lead, mentor, and inspire the data engineering team, fostering a culture of continuous improvement and innovation.
Technical Oversight: Ensure best practices in data management, governance, and security, while overseeing data pipelines, architecture, and infrastructure for client projects.