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Technology Manager - Reporting Platforms

Sainsbury's -
London

Apply Now

Job details

Permanent

Benefits

Cycle to work scheme
Employee assistance programme
Private medical insurance
Employee discount

Qualifications

Cost management
Data modelling
Azure
Test automation
AWS
Continuous improvement
Terraform
Data pipeline
GitHub
ServiceNow
Kafka
Metadata
Financial management

Full job description

Technology Manager - Reporting Platforms

Salary: Competitive Plus Benefits
Location: London Store Support Centre and Home, London, EC1M 6HA
Contract type: Permanent
Business area: Sainsbury's Tech
Closing date: 03 August 2026
Requisition ID: 400058982

We’d all like amazing work to do, and real work-life balance. That’s waiting for you at Sainsbury’s. Think about the scale it takes to feed the nation. The level of data, transactions and variety involved. Then you’ll realise this is a modern software engineering environment, because it has to be. We’ve made significant investment in the standards and principles that shape how we work. We iterate, learn, experiment and champion ways of working such as Agile, Scrum and XP. So you can look forward to exciting opportunities across everything from AI to reusable tech.

Technology Manager - Reporting Platforms

The Technology Manager is central to business-critical transformation of technology delivery and achieving Sainsbury's business strategy, working at the heart of a complex matrix operating model spanning internal teams, offshore partners, and strategic technology organisations. Responsible for assuring technology service and delivery provision for Data Engineering, managing the performance of external partners providing engineering and BAU services, and driving financial accountability for the data domain. This role business partners at senior level, ensures fit-for-purpose, secure, efficient data products and applications, and drives continuous improvement in technical processes to deliver value early and often while maximising value for money across contracts and services.

What I am accountable for:

Data Strategy

Contribute to data strategies for respective products and functional areas, working closely with Data Architecture, Engineering Teams, and Product Management to ensure alignment with business objectives and data technology principles.
Partner with Product Managers and Data Science teams to ensure delivery of data engineering services that meet analytical, reporting, and ML requirements, balancing business needs with technical feasibility and operational constraints.
Ensure data pipelines are delivered in accordance with Sainsbury's Tech guidelines, data governance standards, and technology principles, evolving these based on requirements and learnings from delivery.
Input into overall data roadmaps, ensuring data solutions fit with business strategy and agenda and that all initiatives have clear and appropriate action plans covering data ingestion, transformation, quality, and access.

Leadership

Drive a culture of personal accountability and ownership across direct contributions and external offshore Data Engineering teams, ensuring high performance, data quality standards, and delivery excellence.
Coach offshore data engineering teams to understand the rationale for technical approaches in data architecture and pipeline design, surfacing and dealing with ambiguity and conflicting demands, escalating appropriately to resolve prioritization conflicts.
Build collaborative relationships with Data Scientists, Data Analysts, Business Intelligence teams, service providers, suppliers, and wider Sainsbury's Tech colleagues to ensure data services meet required standards and expectations.
Engage and influence at all levels, partnering with data teams and business stakeholders to maintain and evolve a strong service mindset focused on data quality, accessibility, and business value.
Influence brilliantly through timely communication of relevant information up to Director level, translating complex data engineering and technical issues to meet the demands of diverse audiences.
Make decisions with ambiguous or incomplete information, exercising judgment in the absence of clear guidelines and frameworks while managing data-related risks appropriately.

Financial Accountability

Manage small budget, ensuring financial discipline across both change and run activities for data platforms, tracking spend against forecasts and business cases.
Support Procurement and Supplier Management on supplier selection processes for data engineering partners, establishing and managing ongoing relationships with selected suppliers and ensuring offshore Data Engineering teams deliver against third-party obligations.
Intervene and mitigate potential financial or contractual issues with data engineering partners, ensuring commercial risks are identified early and managed proactively with appropriate stakeholder involvement.

Technical Assurance

Work alongside Product, Data Architecture, Data Engineering, and third-party suppliers to identify key risks and issues early in delivery, building sensible mitigation approaches and securing stakeholder support where necessary.
Act as key point of contact for Data Engineering, BAU, third-party managed data solutions, and vendors, ensuring clear communication and coordination across the data engineering domain.
Engage with data engineering technical detail when needed, understanding the data platform landscape including data ingestion, transformation (DBT), orchestration (Airflow), streaming (Kafka), and data warehousing (Snowflake), and able to articulate technical choices and trade-offs to different stakeholders.
Work at both conceptual and detailed levels in data architecture and engineering, prepared to get into technical and commercial specifics while maintaining strategic perspective on data service delivery.
Ensure data quality and governance standards are maintained across offshore delivery, implementing appropriate testing, validation, and quality assurance processes for data pipelines and platforms.

Delivery Assurance

Culturally embed a methodology for delivering high-quality data engineering services across the relevant domain, ensuring consistent approaches, standards, and data quality practices.
Use sound judgment to focus on the most critical and impactful data initiatives, making best use of available offshore and internal resources and prioritising effectively across competing demands.
Review acceptance of data solutions into BAU support, ensuring appropriate readiness, data quality validation, documentation, and operational capability before transition.
Approve changes to data platforms and pipelines in the live environment, balancing business need with risk management, data integrity, and operational stability.
Feed into data rollout and deployment plans, ensuring practical, achievable approaches that minimize risk to data quality and maximize successful adoption.

Service and Risk Management

Ensure assurance of day-to day running of data engineering services within the Data division and associated operational activities.
Conduct regular Service Reviews with offshore data engineering suppliers, driving outputs and actions to closure, holding partners accountable for performance, data quality, and improvement.
Support Service Transition processes for new data solutions including knowledge article generation, runbook documentation, and ensuring smooth handover from delivery to operations for data pipelines and platforms.
Ensure all Operational Risks related to data platforms are raised, tracked, and reviewed in collaboration with offshore Partners in ServiceNow, maintaining comprehensive risk visibility and management including data quality and governance risks.
Drive continuous improvement culture in data engineering by attending post-implementation reviews, ensuring learnings feed through the wider Tech and Data approach to delivery and service management.
Support internal and offshore data engineering teams to manage risks, ambiguity, and changing business priorities, ensuring delivery of overall business benefit despite complexity in data requirements and priorities.

What I need to know:

Essential

Strong understanding of data engineering technologies including data ingestion, transformation (DBT), orchestration (Airflow/Astronomer).
Experience with cloud data platforms (AWS data services, Azure data services) including cost management and optimization • Knowledge of data quality frameworks, data governance practices, and metadata management
Understanding of data pipeline architecture, ETL/ELT patterns, and data modelling principles
Familiarity with infrastructure as code (Terraform) and CI/CD for data platforms (GitHub Actions) • Substantial experience in data engineering management roles managing external partners and offshore data engineering teams
Proven track record demonstrating strong commercial acumen and financial management
Experience identifying continuous improvement in data engineering through innovation or service improvements • Proven track record of strong leadership managing offshore data engineering teams inside and outside the organization
Demonstrable experience managing multiple data demands in parallel across diverse data use cases
Ability to coach offshore data engineering teams to make customer-oriented decisions focused on data quality and business value
Show initiative to implement new data engineering ideas while taking objective view on what is realistically possible
Ability to work independently and proactively.

Desirable

Professional certifications in cloud data platforms
Familiarity with data catalog and lineage tools (Alation)
Experience with data quality tools and automated testing frameworks for data pipelines
Experience managing relationships with specific strategic data engineering partners (TCS, Accenture, etc.)
In-depth experience working with large-scale offshore data engineering suppliers in complex, large-scale organization

What I need to show:

Own it

Take full accountability for offshore partner performance, data quality standards, and budget management, ensuring commitments are met and maintaining transparent communication when challenges arise
Drive offshore partner accountability, holding data engineering teams responsible for delivery, quality, and standards while ensuring Sainsbury's obligations are met with integrity
Own the resolution of issues, data quality problems, and risks, not walking past issues or waiting for others to act, intervening proactively to protect data integrity and business outcomes
Make decisions confidently even with incomplete information or ambiguity in data requirements, using sound judgment and escalating appropriately when needed while maintaining momentum

Make it better

Continuously improve efficiency, and cost-effectiveness across your teams, using data and feedback to identify opportunities and drive implementation of improvements in data pipelines, quality, and performance
Simplify data processes and remove barriers that slow down data teams or create waste, challenging unnecessary complexity in data architectures while maintaining appropriate governance and quality controls
Spot opportunities for innovation in data engineering delivery, offshore partner management, or wider approaches, proposing and implementing changes that deliver measurable value

Be human

Build trusted relationships with stakeholders at all levels from data engineering teams to Directors, Data Scientists to Business Analysts, demonstrating empathy, transparency, and reliability in all interactions
Coach and develop offshore data engineering partner teams and internal colleagues, sharing knowledge and helping others understand technical approaches and make data-quality-oriented decisions
Communicate with impact, translating complex data engineering and platform issues into language appropriate for your audience, whether technical data teams or senior business stakeholders
Show respect and care for all colleagues regardless of employment structure or location, creating an environment where offshore data engineering teams feel valued and can perform at their best

" We are committed to being a truly inclusive retailer so you’ll be welcomed whoever you are and wherever you work. Around here, there’s always the chance to try something new — whether that’s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we’ll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 20% of salary (which may vary for Nectar360), depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy up to an additional week's holiday, and we provide private healthcare. We also offer other benefits that will help your money go further such as season ticket loans, interest free car loan of up to £10k, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an Employee Assistance Programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks’ pay for maternity or adoption leave and up to 4 weeks’ pay for paternity leave. Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply)."

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