Overview

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Head of Data Engineering

role at

Valpak LimitedReconomy, an international circular economy specialist. Using a tech-enabled, people powered approach we have been able to support thousands businesses across the globe to achieve their sustainability goals.Our core values drive everything we do. We believe in promoting a supportive environment for our colleagues, delivering exceptional service to our customers, contributing to the community, and working towards a more sustainable environment. If you share these values and are passionate about making a positive impact, we''d love to have you on our team.Responsibilities

Reporting directly to the EVP of Engineering and Technology the Head of Data Engineering will lead and manage a team of engineering managers across multiple product engineering squads focused on delivering innovative data-centric products. You''ll be responsible for defining and driving the data platform strategy using Azure Cloud technologies, overseeing the development of data infrastructure, data pipelines, and data products with a strong emphasis on security, scalability, governance, and business impact. You''ll collaborate with cross-functional teams, align with business goals, and ensure the successful delivery of high-impact data products and systems.Requirements

Leadership and Team Management

Lead and mentor a team of 6+ Tech Leads overseeing product engineering squads delivering data-centric products.Provide strategic guidance, coaching, and professional development opportunities for engineering managers to empower their teams and deliver results.Establish and maintain a high-performance culture focused on collaboration, innovation, and continuous improvement.Foster a culture of mentorship and leadership development, identifying and nurturing talents. Drive the recruitment, retention, and development of top-tier engineering talent within the data engineering team.Define and drive the overall data platform strategy with a focus on Azure Cloud to ensure that the organization’s data infrastructure is scalable, reliable, and aligned with business objectives.Oversee the design, implementation, and ongoing optimization of the data platform, leveraging Azure technologies such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database.Ensure the data platform supports data engineering, analytics, and data science initiatives across squads.Ensure the data platform enables easy access to high-quality, secure, and compliant data for all stakeholders, fostering a self-service analytics environment.Cross-Squad Coordination and Alignment

Ensure alignment across multiple squads to meet company-wide data objectives and maintain strategic coherence.Facilitate collaboration between product management, data science, analytics, and engineering teams to deliver data-driven products and services.Define shared goals, success metrics, and timelines for squads to ensure that efforts are aligned with broader business goals.Data Strategy and Architecture

Develop and execute the data engineering strategy, ensuring alignment with the company’s overall business objectives.Oversee the design and implementation of scalable, reliable, and secure data architectures to support various data products and services.Ensure adherence to best practices for data governance, security, and compliance across the engineering squads.Stay at the forefront of industry trends and emerging technologies, continually improving data engineering capabilities.Metrics-Driven Impact

Develop and track success metrics, including data pipeline reliability, availability, and time-to-insight, to evaluate and continuously improve team performance.Communicate the impact of data engineering initiatives through clear metrics to stakeholders at all levels.Operational Excellence and Process Improvement

Promote operational excellence through the implementation of efficient data engineering workflows, processes, and tools.Drive the adoption of best practices for data pipeline development, CI/CD, and data monitoring.Identify and implement opportunities for automation and optimization, improving operational efficiencies across squads.Innovation and Technology Leadership

Champion the exploration and adoption of new tools, technologies, and frameworks to improve the effectiveness of data engineering processes and product development.Influence the evolution of the company’s data architecture to support emerging needs and business growth, including machine learning and AI-based solutions.Lead efforts to modernize and scale the data infrastructure, ensuring flexibility for future needs.Stakeholder Communication and Reporting

Communicate the status, strategy, and outcomes of data engineering initiatives to senior leadership and other stakeholders.Translate complex technical challenges and opportunities into clear business terms for non-technical audiences.Track and report on key performance indicators (KPIs), providing regular updates on the health and impact of data engineering initiatives.Resource and Project Management

Oversee financial planning, budgeting and controlling for the data engineering organization (CAPEX, OPEX).Lead the prioritization and allocation of resources across engineering squads, ensuring alignment with business priorities and timely delivery of high-impact projects.Balance short-term needs with long-term strategic goals, ensuring that data engineering efforts are sustainable and scalable.Oversee the management of project timelines, budgets, and deliverables, ensuring successful execution of data product initiatives.This is a remote role where you’ll be trusted to work with autonomy and impact.Participation in our annual Incentive Plan (VIP) Company bonus scheme25 days annual leave plus bank holidaysOption to buy and sell up to 9 days annual leaveAccess to voluntary benefits including private medical insurance, cycle to work scheme, subsidised gym membershipAutomatic inclusion in Life Assurance, Critical Illness and Disability Income protection schemesPension scheme up to 8% employer contributionAccess to reward and discount platformWe reserve the right to bring forward the closing date of our job vacancies if we receive a suitable number of high-quality applications from which to make a shortlist. We recommend that you apply for our roles as soon as possible rather than wait until the published closing dateSeniority level

DirectorEmployment type

Full-timeJob function

Engineering and Information TechnologyReferrals increase your chances of interviewing at Valpak Limited by 2xGet notified about new Head of Engineering jobs in

Stratford-Upon-Avon, England, United Kingdom .

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