
About Upside
Empowering businesses through user-centric digital solutions
Key Highlights
- Located in Westminster, London, UK
- Specializes in B2B SaaS and digital transformation
- Works with large government and FTSE100 clients
- Launched Cimple, its first venture, to accelerate digitization
Upside is a London-based consultancy and technology developer focused on delivering user-centric digital solutions for complex business environments. With a growing portfolio of clients that includes large government entities and FTSE100 companies, Upside specializes in embedding technological chang...
🎁 Benefits
Upside offers a flexible remote working policy, 26 days of holiday excluding bank holidays, and a unique 'PETernity' leave program for new pet owners....
🌟 Culture
Upside fosters a culture of adaptability and innovation, focusing on helping businesses navigate the digital landscape. The company values collaborati...
Skills & Technologies
Overview
Upside is hiring an Engineering Manager for their Data Engineering team to lead the development of their core data platform. You'll focus on data ingestion, modeling, and orchestration while fostering team growth and driving data accessibility. This role requires strong technical leadership and experience in MLOps practices.
Job Description
Who you are
You have a strong background in data engineering and have spent at least 5 years leading technical teams. Your experience includes building and scaling data platforms, and you understand the intricacies of data ingestion, modeling, and orchestration. You are a people-first leader who values collaboration and creates a safe environment for your team to thrive. You have a passion for driving data accessibility and trust across organizations, ensuring that data-driven decisions are made effectively.
You possess a deep understanding of MLOps practices and have successfully guided teams in the development, deployment, and monitoring of machine learning models. Your technical acumen allows you to bridge the gap between engineering and data science, ensuring that the solutions you implement are robust and scalable. You are adept at fostering engineering growth, mentoring team members, and encouraging open discussions about challenges and solutions.
What you'll do
As the Engineering Manager for the Data Engineering team, you will lead the development of Upside's core data platform, which powers analytics and data-driven decisions across the company. You will oversee the ingestion, modeling, orchestration, and tooling capabilities that are essential for the success of the platform. Your role will involve collaborating with cross-functional teams to ensure that data is accessible and trustworthy, enabling better decision-making throughout the organization.
You will create a collaborative team environment where team members feel safe to voice their ideas and concerns. By inviting open discussions, you will motivate your team to perform at their best and drive impactful results. You will also be responsible for guiding the evolution of MLOps practices within the organization, ensuring that machine learning models are developed and deployed effectively to enhance personalization and optimization features.
In addition to technical leadership, you will focus on scaling the platform and fostering a culture of continuous improvement. You will work closely with other engineering leaders to align on best practices and drive innovation within the team. Your leadership will be crucial in shaping the future of Upside's data capabilities and ensuring that the organization remains at the forefront of data-driven commerce.
What we offer
At Upside, we believe in the power of data to transform commerce and create value for our users and partners. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will be part of a mission-driven team that is dedicated to making a positive impact in the world of brick-and-mortar commerce. Join us in our journey to redefine how consumers and businesses interact through data-driven insights.
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