
Too Good To Go · London
At Too Good To Go, we have an ambitious goal: to inspire and empower everyone to fight food waste together. 40% of all food produced in the world is wasted. An...
At Too Good To Go, we have an ambitious goal: to inspire and empower everyone to fight food waste together.
40% of all food produced in the world is wasted. And that has a huge impact on the health of our planet, with 10% of greenhouse
gas emissions coming from food waste.
We’re more than an app: we are a certified B Corporation with a mission to empower everyone to take action against food waste, so
alongside our marketplace app, we create educational tools, explore new business solutions - such as our Retail Technologies
offering, and influence legislation to help reduce food waste.
WE’RE GROWING FAST: OUR COMMUNITY OF 133 MILLION REGISTERED USERS AND 261,000 ACTIVE PARTNERS ACROSS 21 COUNTRIES, HAVE TOGETHER
ALREADY PREVENTED 517+ MILLION MEALS FROM GOING TO WASTE - AVOIDING OVER 1.397.000 TONNES OF CO2E!
At Too Good To Go, we have an ambitious goal: to inspire and empower everyone to fight food waste together.
40% of all food produced in the world is wasted. And that has a huge impact on the health of our planet, with 10% of greenhouse
gas emissions coming from food waste.
We’re more than an app: we are a certified B Corporation with a mission to empower everyone to take action against food waste, so
alongside our marketplace app, we create educational tools, explore new business solutions - such as our Retail Technologies
offering, and influence legislation to help reduce food waste.
WE’RE GROWING FAST: OUR COMMUNITY OF 133 MILLION REGISTERED USERS AND 261,000 ACTIVE PARTNERS ACROSS 21 COUNTRIES, HAVE TOGETHER
ALREADY PREVENTED 517+ MILLION MEALS FROM GOING TO WASTE - AVOIDING OVER 1.397.000 TONNES OF CO2E!
Our organization already features a dedicated, highly skilled Infor M3 Technical Administrator who manages core backend
infrastructure, integration layers (MEC/ION), custom extensions, database health, and system security. This infrastructure support
allows the new Functional Finance Consultant to focus fully on application utilization, operational value, and cross-departmental
alignment.
The primary purpose of this role is to translate complex business and accounting requirements into concrete functional
configurations within Infor M3. You will operate as an internal advisor, helping our financial team make informed, strategic
process decisions while ensuring the tech department has clear direction for systems alignment.
and identify system optimization opportunities in M3.
or operational changes impact financial reporting and system parameters.
matrices, financial layouts, and user-specific views) based on aligned business processes.
management, and cost accounting matrices.
consultancy partners to deploy robust financial dashboards and compliance reporting.
3. CROSS-MODULE INTEGRATION & END-TO-END WORKFLOW OPTIMIZATION
Supply Chain) flow into the Finance module.
to the general ledger without system discrepancies.
downstream financial reporting requirements.
resolution, or month-end and year-end closing challenges.
system upgrades or process shifts.
on enterprise ERP optimizations.
translate financial requirements into enterprise-scale solutions.
initiatives.
parameters, and adjust financial matrices within M3 without needing backend code development.
Payable, Accounts Receivable, Fixed Assets, Cost Accounting, and multi-entity consolidation).
Warehousing) and how their data models flow downstream into financial reporting.
experts and complex financial principles to engineering staff.
Product Owners, Project Managers, Engineers, and external implementation partners.
Problem Solving: Excellent analytical skills with a focus on holistic business process designs and functional data integrity.
Our Values
What We Have To Offer
you’re achieving positive change.
countries – always ready to share knowledge and support!
How To Apply
We take recruitment very seriously, so please carefully read everything we have written above. Please also check our website and
international media in order to get a good overview of Too Good To Go.
Submit your CV and/or Cover letter in English.
Job Ref: #LI-CT1
A Movement for Everyone
We want to inspire and empower everyone to fight food waste together. With that mission, it’s only natural that we want to build a
diverse and inclusive team of highly capable individuals who are passionate about doing things in a better way. We strongly
believe we all excel and are more creative when we’re allowed to be ourselves, and we’re committed to a culture where all of us
belong.
We are an equal opportunity employer and all employment is decided on the basis of qualifications, merit and business need. If you
need reasonable accommodation at any point in the application or interview process, please let us know.
Some key info for you about Liberis: 🌱 We were founded in 2007 💰 We have provided over $3bn of funding to small businesses so far 🚀 We have been named in CNBC & Statista Top 150 UK Fintechs for 2025 🌍 We're a global team, with a dynamic presence in 6 key locations around the world 🧠 We're a thriving community of over 290 innovative minds 👩🏾 🤝 👨🏼 We're a vibrant melting pot, celebrating over 27 nationalities in our team 🏢 Our team brings experience from over 740 previous companies, from startups to global giants 🎯 We have just been named as one of FinTech’s Finest 50 by Welcome to the Jungle 💪 We’re proud to be an accredited Real Living Wage employer, ensuring everyone is paid fairly for the great work they do! Our Product & Engineering Team: Liberis is building the embedded finance platform that lets partners around the world offer innovative funding products to their small business customers. We're a growth-stage fintech with teams in London, Nottingham, Atlanta, Stockholm, Munich and Mumbai, and we’re building a global Product, Data & Engineering team that thrives on autonomy, ownership, and is focused on impact! Our teams solve real-world problems for small businesses, shaping products that unlock opportunity at scale. Engineering is going through an AI-first transformation, rethinking how teams are structured and how they ship. It's changing what a small team can do! We empower our teams to make decisions, move fast, and take full responsibility for the solutions they deliver. You’ll join a team where curiosity is encouraged and collaboration across Product, Data, Delivery and Engineering is the norm. About our Data & Insights Team: We exist to build the data platforms and analytics that enable every decision at Liberis to be data-informed—and increasingly, to power AI and ML capabilities across the company! We're building composable, reliable data platforms that scale—from ingesting partner transaction data and event streams, to powering analytics dashboards, to feeding ML models with real-time features. We're also supporting the AI/ML platform team with reliable, low-latency feature pipelines and model serving infrastructure. We're collaborative, pragmatic, and we value moving fast by fixing the right problems—not over-engineering, but building to last! The team is made up of three functions: Data Platform Engineering: Building and scaling ELT pipelines, managing data infrastructure on GCP, and creating the foundation for analytics and ML feature stores. You'll be part of a small, high-performing team of platform engineers focused on reliability, scale, and developer velocity. Analytics Engineering: Transform raw data into trusted models using DBT and SQL, powering self-serve analytics and business intelligence for stakeholders across the company. Data & Business Intelligence: Build dashboards, partner-facing reports, and insights that drive business decisions and revenue outcomes. What you'll get to do in the role: * Design, build, and maintain resilient data pipelines that ingest data from Azure SQL, SaaS platforms, and event streams into BigQuery. * Write Python code using DLT to define declarative, testable, version-controlled pipelines - no low-code tools, real engineering. * Build and operate ML feature pipelines - low-latency, real-time data streams that feed ML models with accurate, fresh features. * Own the operational health of systems you build - monitoring, alerting, error handling, and incident response. When the data pipeline goes down, merchant credit decisions and ML model predictions suffer. * Collaborate with analytics engineers to understand data needs, validate schema design, and establish data quality standards that both analytics and ML rely on. * Partner with the AI/ML platform team to design feature stores, streaming feature infrastructure, and model serving pipelines that power Liberis' decisioning engine. * Identify and execute optimisation work - improving performance, reliability, and developer velocity without rearchitecting stable systems. * Mentor junior engineers, helping them grow as engineers and supporting their career development. * Participate in technical decisions about platform direction - infrastructure choices, tooling, architecture trade-offs. * Work cross-functionally with product teams, analytics engineers, BI specialists, and the ML platform team to shape data requirements and platform capabilities. What we think you'll need: * Proven experience within data engineering roles -building and operating data pipelines at scale * Hands-on experience building Modern Data Stack architectures - you understand the layers: ingestion, warehouse, transformation, orchestration, reverse ETL. You've worked with tools like DLT/Fivetran/Airbyte (ingestion), BigQuery/Snowflake/Redshift (warehouse), DBT (transformation), Airflow/similar (orchestration). * Strong Python programming - you write clean, testable, maintainable code with solid error handling and logging. * Fluent SQL - you can write complex queries, understand execution plans, and optimize for performance and cost. * Experience with cloud data platforms - you've built data warehouses in BigQuery, Redshift, Snowflake, or similar; you understand distributed processing, partitioning, cost optimization, and data governance. * Experience with infrastructure-as-code tools (Terraform, CloudFormation, Pulumi) or equivalent - you version control infrastructure and deploy it via CI/CD pipelines. * Experience working in fast-moving environments where requirements evolve and you adapt quickly without losing sight of reliability. * Understanding of DevOps principles - you think in terms of observability, resilience, incident response, and operational excellence. You can set up monitoring and alerting that actually matters. Bonus points if you have: * Experience with DLT or similar declarative ELT frameworks; experience with Google Cloud Platform ecosystem (BigQuery, Cloud Run, Pub/Sub, Dataflow); experience with Kafka, Pub/Sub, or event streaming platforms; experience scaling data systems from 0 to 100M+ events/day; experience implementing data quality frameworks (Great Expectations, dbt tests, custom monitoring); background in fintech or high-stakes data reliability environments where data quality directly impacts revenue. * Experience working with distributed, asynchronous teams across timezones; experience in India tech ecosystem or building in resource-constrained environments; experience migrating from legacy data infrastructure (Azure ADF, traditional ETL) to modern cloud-native stacks. Career development is really important to us here at Liberis, with progression opportunities for both individual contributors and people managers. You can have a look through our Engineering Career Framework via this link Our hybrid approach Working together in person helps us move faster, collaborate better, and build a great Liberis culture. Our hybrid working policy requires team members to be in the office at least 3 days a week. At Liberis, we embrace flexibility as a core part of our culture, while also valuing the importance of the time our teams spend together in the office. #LI-FC1
Some key info for you about Liberis: 🌱 We were founded in 2007 💰 We have provided over $3bn of funding to small businesses so far 🚀 We have been named in CNBC & Statista Top 150 UK Fintechs for 2025 🌍 We're a global team, with a dynamic presence in 6 key locations around the world 🧠 We're a thriving community of over 290 innovative minds 👩🏾 🤝 👨🏼 We're a vibrant melting pot, celebrating over 27 nationalities in our team 🏢 Our team brings experience from over 740 previous companies, from startups to global giants 🎯 We have just been named as one of FinTech’s Finest 50 by Welcome to the Jungle 💪 We’re proud to be an accredited Real Living Wage employer, ensuring everyone is paid fairly for the great work they do! Our Product & Engineering Team: Liberis is building the embedded finance platform that lets partners around the world offer innovative funding products to their small business customers. We're a growth-stage fintech with teams in London, Nottingham, Atlanta, Stockholm, Munich and Mumbai, and we’re building a global Product, Data & Engineering team that thrives on autonomy, ownership, and is focused on impact! Our teams solve real-world problems for small businesses, shaping products that unlock opportunity at scale. Engineering is going through an AI-first transformation, rethinking how teams are structured and how they ship. It's changing what a small team can do! We empower our teams to make decisions, move fast, and take full responsibility for the solutions they deliver. You’ll join a team where curiosity is encouraged and collaboration across Product, Data, Delivery and Engineering is the norm. The role: Joining our Cloud Platform team as a Lead DevEx Engineer, you will play a key role in improving how engineers build, ship and operate services across Liberis. This is a brand new role created to bridge the gap between application development and platform engineering - creating a more consistent, scalable developer experience as we continue to evolve our platform strategy. You will focus on building for engineers - creating and shaping the templates, standards and foundations used across services. Alongside this, you will have the opportunity to contribute to emerging platform initiatives, including work that supports AI enablement across the engineering organisation. This is a high-impact role with real scope to influence how engineering works at Liberis! What you'll get to do in the role: * Own and evolve the service template library for .NET, Node.js, and Python — covering project scaffolding, dependency management, containerisation, local dev setup, and production configuration. Templates are generated, not forked, so keeping them current and opinionated matters. * Build and maintain CI/CD pipeline templates in GitHub Actions and/or Azure DevOps, covering build, test, security scanning, and deployment — consistent across stacks and reusable across teams. * Define and ship observability standards: structured logging, distributed tracing, and alerting integrated into service templates so every new service is production-ready from day one. * Work hands-on with Datadog, incident.io, and/or GCP/Azure-native logging and monitoring tooling to build the platform-level observability layer teams plug into. * Contribute to our thinking on a potential Azure-to-GCP migration — helping assess what changes for developer tooling and service templates and building proof-of-concept work that informs the decision. * Partner with product engineers to understand where developer experience breaks down — slow pipelines, confusing templates, missing runbooks — and fix the root causes, not the symptoms. * Lead technical decisions on platform tooling: evaluate new tools, write ADRs, and drive adoption of improvements across multiple engineering teams. * Mentor engineers in the Cloud Platform team and act as a go-to resource for product engineers getting to grips with platform tooling. The interview process: * Screening call with Chess (Internal Recruiter) (30 mins) * Video interview with the Hiring Manager (45 mins) * In person code pairing interview with a member of Engineering team (1 hour) * Video interview with the wider Liberis team (1 hour) What we think you'll need: * Proficient in at least one of .NET (C#), Node.js and Python — able to build, configure, and template production-grade services in each. * Strong GCP experience (Azure experience is nice to have) * Hands-on experience designing reusable CI/CD pipeline templates — GitHub Actions or Azure DevOps — consistent across stacks and teams. * Comfortable with containerisation (Docker) and deployment on Kubernetes or Cloud Run. * Observability experience with at least one of: Datadog, incident.io, or cloud-native logging and monitoring (GCP Cloud Operations or Azure Monitor). * Infrastructure-as-code with Terraform. * A proven track record of driving adoption — building things engineers use, writing docs that get read. Career development is really important to us here at Liberis, with progression opportunities for both individual contributors and people managers. You can have a look through our Engineering Career Framework via this link Our hybrid approach Working together in person helps us move faster, collaborate better, and build a great Liberis culture. Our hybrid working policy requires team members to be in the office at least 3 days a week. At Liberis, we embrace flexibility as a core part of our culture, while also valuing the importance of the time our teams spend together in the office. #LI-FC1
Some key info for you about Liberis: 🌱 We were founded in 2007 💰 We have provided over $3bn of funding to small businesses so far 🚀 We have been named in CNBC & Statista Top 150 UK Fintechs for 2025 🌍 We're a global team, with a dynamic presence in 6 key locations around the world 🧠 We're a thriving community of over 290 innovative minds 👩🏾 🤝 👨🏼 We're a vibrant melting pot, celebrating over 27 nationalities in our team 🏢 Our team brings experience from over 740 previous companies, from startups to global giants 🎯 We have just been named as one of FinTech’s Finest 50 by Welcome to the Jungle 💪 We’re proud to be an accredited Real Living Wage employer, ensuring everyone is paid fairly for the great work they do! Our Product & Engineering Team: Liberis is building the embedded finance platform that lets partners around the world offer innovative funding products to their small business customers. We're a growth-stage fintech with teams in London, Nottingham, Atlanta, Stockholm, Munich and Mumbai, and we’re building a global Product, Data & Engineering team that thrives on autonomy, ownership, and is focused on impact! Our teams solve real-world problems for small businesses, shaping products that unlock opportunity at scale. Engineering is going through an AI-first transformation, rethinking how teams are structured and how they ship. It's changing what a small team can do! We empower our teams to make decisions, move fast, and take full responsibility for the solutions they deliver. You’ll join a team where curiosity is encouraged and collaboration across Product, Data, Delivery and Engineering is the norm. The role: Joining our Cloud Platform team as a Lead DevEx Engineer, you will play a key role in improving how engineers build, ship and operate services across Liberis. This is a brand new role created to bridge the gap between application development and platform engineering - creating a more consistent, scalable developer experience as we continue to evolve our platform strategy. You will focus on building for engineers - creating and shaping the templates, standards and foundations used across services. Alongside this, you will have the opportunity to contribute to emerging platform initiatives, including work that supports AI enablement across the engineering organisation. This is a high-impact role with real scope to influence how engineering works at Liberis! What you'll get to do in the role: * Own and evolve the service template library for .NET, Node.js, and Python — covering project scaffolding, dependency management, containerisation, local dev setup, and production configuration. Templates are generated, not forked, so keeping them current and opinionated matters. * Build and maintain CI/CD pipeline templates in GitHub Actions and/or Azure DevOps, covering build, test, security scanning, and deployment — consistent across stacks and reusable across teams. * Define and ship observability standards: structured logging, distributed tracing, and alerting integrated into service templates so every new service is production-ready from day one. * Work hands-on with Datadog, incident.io, and/or GCP/Azure-native logging and monitoring tooling to build the platform-level observability layer teams plug into. * Contribute to our thinking on a potential Azure-to-GCP migration — helping assess what changes for developer tooling and service templates and building proof-of-concept work that informs the decision. * Partner with product engineers to understand where developer experience breaks down — slow pipelines, confusing templates, missing runbooks — and fix the root causes, not the symptoms. * Lead technical decisions on platform tooling: evaluate new tools, write ADRs, and drive adoption of improvements across multiple engineering teams. * Mentor engineers in the Cloud Platform team and act as a go-to resource for product engineers getting to grips with platform tooling. The interview process: * Screening call with Chess (Internal Recruiter) (30 mins) * Video interview with the Hiring Manager (45 mins) * In person code pairing interview with a member of Engineering team (1 hour) * Video interview with the wider Liberis team (1 hour) What we think you'll need: * Proficient in at least one of .NET (C#), Node.js and Python — able to build, configure, and template production-grade services in each. * Strong GCP experience (Azure experience is nice to have) * Hands-on experience designing reusable CI/CD pipeline templates — GitHub Actions or Azure DevOps — consistent across stacks and teams. * Comfortable with containerisation (Docker) and deployment on Kubernetes or Cloud Run. * Observability experience with at least one of: Datadog, incident.io, or cloud-native logging and monitoring (GCP Cloud Operations or Azure Monitor). * Infrastructure-as-code with Terraform. * A proven track record of driving adoption — building things engineers use, writing docs that get read. Career development is really important to us here at Liberis, with progression opportunities for both individual contributors and people managers. You can have a look through our Engineering Career Framework via this link Our hybrid approach Working together in person helps us move faster, collaborate better, and build a great Liberis culture. Our hybrid working policy requires team members to be in the office at least 3 days a week. At Liberis, we embrace flexibility as a core part of our culture, while also valuing the importance of the time our teams spend together in the office. #LI-FC1