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data engineering manager

On the Beach

<div>We&rsquo;re On the Beach! Since 2003, we&rsquo;ve been rewriting the rules of how people discover, book and experience their perfect getaway. What started as connecting people to short-haul beach holidays has evolved into something much bigger: premium beach destinations, long-haul adventures and vibrant city breaks and that&rsquo;s just the beginning of our story.
Powered by our deep-rooted entrepreneurial spirit, proprietary tech, curiosity and our incredible people, we&rsquo;re accelerating delivering best-in-class technology, the ultimate holiday app, and experiences that keep our customers coming back for more.
Ready to build the future of travel with us?
About the Role
We&rsquo;re looking for a Data Engineering Manager to help lead and grow our data engineering capability, shaping the platforms and practices that power analytics, insight and AI-driven innovation across the business.
This is a great opportunity for someone who enjoys developing people as much as solving complex technical and platform challenges. You&rsquo;ll play a key role in helping us modernise how data moves through the business, from event-driven cloud data through to more traditional operational data sources, while supporting a talented team of engineers to do their best work.
What you&rsquo;ll be doing day to day
As Data Engineering Manager, you&rsquo;ll help lead a team responsible for building reliable, scalable and trusted data products across On the Beach.
The role will be varied, with your time broadly split across three key areas: helping us consume and shape event-driven data, working with more traditional data sources and patterns, and supporting the growth and development of the team.
You&rsquo;ll work closely with engineers, analysts, product teams, commercial teams and senior stakeholders to make sure our data platforms are robust, well understood and genuinely useful to the business.
You&rsquo;ll be responsible for:<ul><li>
Leading, supporting and developing a team of data engineers, creating an environment where people can grow, share knowledge and deliver high-quality work</li><li>
Shaping our approach to both modern event-driven data and more traditional data sources, helping improve how we ingest, process, model and make data available across the business</li><li>
Supporting the design and evolution of our data platform, including pipelines, orchestration, observability, lineage, governance and data quality</li><li>
Partnering with teams across Product, Engineering, Analytics and Data to understand business needs and translate them into scalable, maintainable data solutions</li><li>
Helping define and improve data engineering standards around testing, monitoring, documentation, deployment and reliability</li><li>
Making pragmatic technical decisions that balance delivery, platform quality, long-term maintainability and business value</li><li>
Encouraging a culture of technical curiosity, continuous improvement and strong engineering practice across the team</li></ul> 
We&rsquo;re looking for someone who enjoys both technical leadership and people development. You&rsquo;ll be comfortable working across engineering detail, platform direction and stakeholder conversations.
You&rsquo;ll likely bring experience in:<ul><li>
Building, operating or leading cloud-based data platforms and production-grade data workflows</li><li>
Working with data pipelines, data modelling, orchestration and modern cloud data tools such as Databricks, BigQuery, Spark or similar</li><li>
Event-driven or streaming data patterns, as well as more traditional operational, legacy or non-event-driven data environments</li><li>
Designing reliable, observable and well-tested data products that can be trusted by both technical and non-technical users</li><li>
Coaching, mentoring or supporting engineers, with an interest in helping people develop and progress</li><li>
Communicating technical ideas clearly and making pragmatic decisions in fast-moving environments</li></ul>
Nice to have<ul><li>
Experience with lakehouse architecture, medallion-style workflows or enterprise data modelling</li><li>
Exposure to data governance, catalogue tooling, lineage, data quality frameworks or access management</li><li>
Experience using AI tools to support engineering productivity, automation or data quality</li><li>
Experience helping teams move from batch-heavy or legacy patterns towards more real-time, event-driven or cloud-native approaches</li></ul>
Our benefits 
We might be biased but we think our colleagues are pretty great. They're the people that have made On the Beach what it is today and continue to make it vibrant and successful tomorrow. That's why we offer a competitive benefits package, known as our Beach Perks, to all On the Beach colleagues.
These include:<ul><li>
25 days holiday plus your birthday off</li><li>
Generous discount on holidays, plus you will receive 2 extra days annual leave on top of your holiday allowance to use whilst you're away on your On the Beach package holiday</li><li>
Access to Learnerbly learning platform, plus workshops, courses and professional qualifications</li><li>
Enhanced maternity, paternity, shared parental leave and adoption pay, plus other family friendly support</li><li>
Employee Assistance Programme and free access to counselling</li><li>
Simplyhealth Optimise Health Plan</li><li>
Company Sick Pay scheme</li><li>
Regular wellbeing events</li><li>
Gym discount</li><li>
Share Incentive Plan (SIP)</li><li>
Death in Service cover</li><li>
Onsite subsidised coffee shop</li><li>
The Sandbox (our very own bar)</li><li>
Food and drink discounts across a number of venues in Manchester City Centre</li><li>
Regular social events</li><li>
Cycle to Work scheme</li></ul>
What success looks like
Success in this role is about building data pipelines and products that teams can trust.
You&rsquo;ll help improve the reliability, quality and performance of our data platform, making it easier for teams across On the Beach to access and use the data they need. You&rsquo;ll reduce friction for downstream analytics and AI use cases by creating well-structured, well-tested and well-documented data products.
You&rsquo;ll also contribute to a strong engineering culture within the data team, where standards are clear, pipelines are observable, and continuous improvement is part of how we work.
What to expect from our interview process
We&rsquo;ll run a multiple stage interview process, one stage of which will be an in-person interview at our fabulous Aeroworks office in Manchester city centre.
We want to make sure everybody has the opportunity to perform at their best. If you require any reasonable adjustments during the interview process please let the Talent Acquisition team know and they will be happy to assist.
Ways of working 
Our full time hours are 37.5 per week, but we don't have rigid working hours so you can find the working pattern that's right for you. We have core working hours between 10am - 4pm, so we can collaborate and enjoy the social side of work.
We also have hybrid working so we all work from home and from our Aeroworks office in Manchester City Centre. As a team we are in the office 2 days per week (usually Tuesday &amp; Wednesday).</div>

Data Engineering Manager

<div><div>About THG

We are THG, a global ecommerce group on a mission to be the global online leader in beauty and sports nutrition.

Our portfolio of leading retailers and brands such as LOOKFANTASTIC, Myprotein, ESPA, Perricone MD, and Cult Beauty form our two core businesses: THG Beauty and THG Nutrition.

From Manchester to New York, we're powered by a team of over 2500 people who work together, lead by example, and think BIG.

With us, you'll go further, faster. What are you waiting for?</div>
Location: Icon 1, WA15 0AF

About Central Functions

Central Functions is formed of the teams and people that serve the entire business. These people are integral to the smooth running of the business; ensuring everyone is paid on time, that materials are sourced and arrive promptly, that we meet our legal obligations and that our health, safety, and security is safeguarded.

Why be the Data Engineering Lead at THG?

THG is building the data engineering capability that will underpin everything from daily trading analytics to AI-driven personalisation. As Engineering Lead, you will own the technical vision and delivery for how THG structures, stores and distributes its data across three core domains: Customer, Commercial and Operations.

This is a hands-on technical leadership role. You will be managing and mentoring a team of six engineers (three Senior, three mid-level, each domain-aligned), but you are also expected to be technically deep &mdash; setting architecture standards, making key design decisions, and being the person the team turns to when problems are hard.

Your primary mission is to move THG from a fragmented, siloed data landscape towards consistent, joined-up domain datasets that can be trusted and used at scale. We have customer data in multiple places, commercial data that isn't consistently structured, and operational data that isn't easy to consume. You will build the engineering foundation that changes that &mdash; working to a shared architecture that ensures Customer, Commercial and Operations datasets have consistent standards, shared attributes where appropriate, and can ultimately be joined into a single, reliable view of the business.

You will work closely with Ingenuity, our technology partner, who manage the foundational platform and first-layer pipelines. Your job is to take what Ingenuity provides and shape it into the structured, high-quality domain datasets that analytics and data science teams can confidently build on. You will also be a key partner to the Data Governance Lead, implementing the standards they define within your engineering practice.

What you'll do:

Technical Leadership &amp; Architecture
<ul>
<li>Own the data engineering architecture for THG &mdash; defining how data is ingested, transformed, stored and made available across Customer, Commercial and Operations domains</li>
<li>Design consistent standards and patterns across all three domains &mdash; ensuring shared attributes are handled uniformly and that data can be reliably joined across domains</li>
<li>Lead the evolution of our BigQuery/GCP platform &mdash; driving migrations, modernising legacy pipelines, and building for scalability</li>
<li>Make key architectural decisions and be accountable for the technical quality of everything the engineering team produces</li>
<li>Develop and enforce engineering standards across the team &mdash; version control, testing frameworks, error handling, documentation and code review practices</li>
</ul>
Domain Dataset Development
<ul>
<li>Lead the build-out of structured, reliable domain datasets &mdash; moving from disparate, siloed data sources towards consolidated Customer, Commercial and Operations data platforms</li>
<li>Work towards the foundations of a single source of truth &mdash; defining how data from different source systems is reconciled, deduplicated and mastered within each domain</li>
<li>Ensure domain datasets are structured for downstream consumption &mdash; analytics teams, data science models, BI tooling and AI/agent use cases should all be able to reliably consume what engineering produces</li>
</ul>
AI-Enabled Engineering
<ul>
<li>Champion the use of AI in data engineering &mdash; this is a small team with a large remit, and we expect AI-assisted development to be embedded in how we work</li>
<li>Apply AI tools to accelerate pipeline development, automated testing, anomaly detection and data quality monitoring</li>
<li>Stay current with AI developments in the data engineering space and bring new approaches into the team's practice</li>
</ul>
Ingenuity Relationship
<ul>
<li>Work closely with the Ingenuity engineering team &mdash; understanding what they provide at the platform layer and building effectively on top of it</li>
<li>Define clear requirements and interface standards for how Ingenuity data feeds into PLC domain datasets</li>
<li>Identify and escalate where Ingen platform behaviour affects data quality or availability within PLC domains</li>
</ul>
People &amp; Team
<ul>
<li>Manage, coach and develop a team of six domain-aligned engineers &mdash; three Senior Data Engineers and three Data Engineers</li>
<li>Run a structured review and development process for each engineer, building their technical capability and career progression</li>
<li>Foster a culture of engineering excellence, collaboration and continuous improvement</li>
</ul>
What skills and experience do I need for this role?

Essential
<ul>
<li>Hands-on, expert-level experience with BigQuery and GCP &mdash; this is non-negotiable; you must have built and operated production data pipelines on this stack</li>
<li>Strong Python skills &mdash; used daily for pipeline development, data transformation and automation</li>
<li>Experience across at least two of the three core data domains: Customer, Commercial and Operations</li>
<li>A track record of evolving data architecture &mdash; you can demonstrate concrete examples of how you changed the way a business structures, stores or consumes its data</li>
<li>Deep understanding of data modelling, pipeline design and distributed data architecture</li>
<li>Experience with Dataform or dbt for data transformation</li>
<li>Demonstrated use of AI in data engineering &mdash; AI-assisted pipeline development, automated quality checks, or similar practical applications</li>
<li>Experience mentoring and developing engineers</li>
</ul>
Desirable
<ul>
<li>Experience building towards a Customer Data Platform (CDP) or equivalent customer data consolidation project</li>
<li>Familiarity with data governance principles and working alongside a governance function</li>
<li>E-commerce or retail background</li>
<li>Experience with streaming or real-time data pipelines</li>
</ul>
What's in it for me?

Career Development
<ul>
<li>Access bespoke development programmes that have been designed and developed by our in-house L&amp;D team.</li>
<li>Continued development through our upskilling programme that is delivered in partnership with an industry-leading training provider.</li>
</ul>
Enhanced Leave
<ul>
<li>25 days annual leave plus bank holidays.</li>
<li>Don't want to work on your birthday? We don't either! Enjoy your day off on us!</li>
<li>Enhanced maternity and paternity pay, depending on length of service.</li>
<li>Up to 10 days compassionate leave.</li>
<li>Buy back up to 3 days each year.</li>
<li>Unlock 2 days volunteer leave after 12-months.</li>
</ul>
Wellbeing Support
<ul>
<li>Access face-to-face and virtual appointments with our in-house GP.</li>
<li>Access our 247 Employee Assistance Programme (EAP) which is provided by Bupa.</li>
<li>State-of-the-art on-site gym.</li>
<li>Access to our on-site physio.</li>
</ul>
Other Perks
<ul>
<li>Save up to 12% on the cost of personal tech through our salary sacrifice scheme.</li>
<li>Subsidised bus pass from Manchester City Centre to our ICON office.</li>
<li>Up to 50% staff discount on THG brands.</li>
<li>On-site staff shop.</li>
<li>Know someone who would be perfect for THG? Refer them and get up to &pound;1000 when they pass their probation.</li>
<li>Anniversary gifts when you hit 5 and 10 years of service.</li>
</ul><div>
THG is proud to be a Disability Confident Committed employer. If you are invited to interview, please let us know if there are any reasonable adjustments we can make to the recruitment process that will enable you to perform to the best of your ability.

THG is committed to creating a diverse &amp; inclusive environment and hence welcomes applications from all sections of the community.

Because of the high volumes of applications our opportunities attract, it sometimes takes us time to review and consider them all. We endeavour to respond to every application we receive within 14 days. If you haven't heard from us within that time frame or should you have any specific questions about this or other applications for positions at THG please contact one of our Talent team to discuss further.</div></div>

Data Engineering Lead

Progressive

<div>
 
 
 Recruitment Consultant Opportunity &ndash; Manchester City Centre &ndash; Progressive Engineering!
 
 
 
 
 
 
 Progressive Engineering (part of SThree) are on the lookout for ambitious individuals to join their high performing office!
 
 
 
 
 
 Our Manchester Office covers the following:
 
 
 
 CONSTRUCTION &ndash; Data Centres &amp; Pharmaceuticals
 
 
 
 
 ENERGY &ndash; Infrastructure &amp; Decarbonisation
 
 
 
 
 
 
 
 We are hiring across both teams!
 
 
 
 
 
 
 
 Home to 2025 STHREE UK winners of:
 
 🏆🥇
 
 
 City of the Year
 
 
 Director of the Year
 
 
 Business Manager of the Year
 
 
 Top Newcomer of the Year
 
 
 
 
 
 
 Who we are:
 
 
 
 We&rsquo;re a
 
 global STEM workforce consultancy
 
 , connecting brilliant minds with the world&rsquo;s most innovative companies. From Life Sciences to Tech, Engineering to Maths we help shape the future&mdash; one placement at a time.
 
 
 
 
 
 
 What will you be doing?
 
 
 
 Building, identifying and maintaining strong relationships with both client and candidates within your specialist market &ndash; within Engineering.
 
 
 Interview and assess candidates &ndash; to match them to their desired role.
 
 
 Negotiation of offers
 
 
 Manage the full 360 life cycle of recruitment!!
 
 
 Working to a hybrid model &ndash; in Manchester City Centre
 
 
 
 
 
 
 What you will get:
 
 
 <ul>
 <li>
 💷 Competitive salary + uncapped commission
 </li>
 <li>
 🌍 Global career opportunities (33 locations worldwide)
 </li>
 <li>
 🛫 Incentive trips to amazing destinations
 </li>
 <li>
 🍽️ Director Lunch Clubs at top restaurants
 </li>
 <li>
 🧘 Thrive wellbeing community
 </li>
 <li>
 🏥 Private medical cover + optional dental
 </li>
 <li>
 🏖️ 28 days holiday + bank holidays + buy more
 </li>
 <li>
 👶 Industry-leading parental leave
 </li>
 <li>
 📈 Company share scheme
 </li>
 <li>
 🚀 Velocity career progression programme
 </li>
 </ul>
 
 
 
 
 
 
 
 We are an office and organisation that wants you to thrive and feel comfortable day in day out &ndash; we believe in creating an environment that lets you do this!!
 
 
 
 
 
 We are looking for ideal candidate to have previous Recruitment/ Business Development/B2B experience.
 
 
 
 
 
 If you are interested in please send a copy of your CV and a member of the TA Team will be in touch.
 
</div>

Recruitment Specialist

Anaplan

<div>
 
 At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
 
 
 What unites Anaplanners across teams and geographies is our collective commitment to our customers&rsquo; success and to our Winning Culture.
 
 
 Our customers rank among the who&rsquo;s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
 
 
 Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating
 
 
 our wins &ndash; big and small.
 
 
 Supported by operating principles of being strategy-led, values-based and disciplined in execution, you&rsquo;ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let&rsquo;s build what&rsquo;s next - together!
 
 
 
 Team Description
 
 
 
 The Data Engineering team is responsible for developing and maintaining the company&rsquo;s data ingestion and processing pipelines. This role collaborates with data scientists, software engineers, business analysts, and technical leads to build reliable data infrastructure that supports decision-making for apparel brands and retailers. The position reports to the Technical Lead within the Data Engineering function.
 
 
 
 Your Impact
 
 
 <ul>
 <li>
 Contribute to the development and enhancement of data ingestion and processing pipelines
 </li>
 <li>
 Partner with product managers, data scientists, and engineers to build and maintain accurate and robust data infrastructure managing first- and second-party data
 </li>
 <li>
 Collaborate with technical leads and senior engineers on data architecture decisions and implementation strategies
 </li>
 <li>
 Support the team in delivering scalable solutions while learning and growing your expertise
 </li>
 <li>
 Work as part of a collaborative team that values creativity and continuous improvement
 </li>
 <li>
 Help build and maintain data pipelines that support AI and decision-making tools
 </li>
 </ul>
 
 
 Your Qualifications
 
 
 <ul>
 <li>
 Commercial &amp; proven experience in data engineering or related technical roles
 </li>
 <li>
 Proficiency in SQL and Python for data processing and pipeline development
 </li>
 <li>
 Experience with data warehousing concepts and ETL/ELT processes
 </li>
 <li>
 Hands-on experience with modern data platforms such as Snowflake, Databricks, or Redshift
 </li>
 <li>
 Familiarity with data orchestration tools like Apache Airflow, Prefect, or DBT
 </li>
 <li>
 Experience working with columnar formats like Parquet and Avro
 </li>
 <li>
 Understanding of data modeling, database optimization, and performance tuning
 </li>
 <li>
 Experience integrating data from various sources including APIs, FTP, and cloud storage
 </li>
 </ul>
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Knowledge of streaming data processing and data APIs
 </li>
 <li>
 Knowledge of cloud platforms, particularly AWS
 </li>
 <li>
 Familiarity with infrastructure as code and CI/CD practices
 </li>
 <li>
 Experience with time series data
 </li>
 </ul>
 
 
 Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
 
 
 
 We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren&rsquo;t just words on paper &ndash; this is what drives our innovation, it&rsquo;s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
 
 
 We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. &nbsp;
 
 
 
 Fraud Recruitment Disclaimer
 
 &nbsp;
 
 
 It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
 
 
 Anaplan does not: &nbsp;
 
 <ul>
 <li>
 Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.  &nbsp;
 </li>
 <li>
 Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. &nbsp;
 </li>
 </ul>
 
 All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.  &nbsp;
 
 
 &nbsp;
 
</div>

Data Engineer

<div><div>At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture.

Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins &ndash; big and small.

Supported by operating principles of being strategy-led, values-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together!</div>
You will join the Predictive Intelligence engineering team within Anaplan, building the backend services that power the Syrup platform and Anaplan's forecasting and predictive solutions. The team owns the production services behind forecasting, scoring, and data processing, along with the pipelines and infrastructure that bring ML and AI capabilities to enterprise customers. As a backend engineer, you will build and maintain core services across this stack, writing clean, well-tested Python while growing your craft alongside experienced engineers. This role reports to the Director of Engineering for Predictive Intelligence and works closely with backend engineers, data scientists, and platform partners.

Your Impact
<ul>
<li>Build and maintain backend services, APIs, and data processing components across the Predictive Intelligence stack.</li>
<li>Contribute to the forecasting, scoring, and data processing services that deliver predictive insights, with attention to performance, reliability, and code quality.</li>
<li>Write clean, well-tested, maintainable Python and follow established engineering best practices.</li>
<li>Work with data scientists and ML engineers to integrate models into production services and support the pipelines around them.</li>
<li>Participate in code reviews and design discussions, and incorporate feedback to grow as an engineer.</li>
<li>Take part in on-call rotations as you ramp, and help monitor, diagnose, and resolve issues across services and pipelines.</li>
<li>Collaborate across the team to deliver well-scoped features end to end.</li>
</ul>
Your Qualifications
<ul>
<li>Proven commercial professional software engineering experience building backend services.</li>
<li>Solid proficiency in Python, with experience writing well-structured, tested production code.</li>
<li>Experience with relational databases and SQL (e.g., Postgres); familiarity with data warehousing technologies such as Snowflake is a plus.</li>
<li>Exposure to containerized services and at least one major cloud (AWS, GCP, or Azure).</li>
<li>Basic understanding of how ML and AI systems run in production and the data pipelines that support them.</li>
<li>Familiarity with version control (Git) and collaborative development practices.</li>
<li>Demonstrated ability to take ownership of well-scoped systems and deliver against requirements with some ambiguity.</li>
<li>Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.</li>
</ul>
Preferred Skills
<ul>
<li>Experience with data orchestration tools (e.g., Prefect, Airflow, dbt).</li>
<li>Familiarity with MLOps tooling such as MLflow, or experience supporting ML workloads in production.</li>
<li>Exposure to LLM or agentic application patterns and AI service integration.</li>
<li>Experience operating services on Kubernetes.</li>
<li>Background in forecasting, demand planning, or retail/supply chain domains.</li>
</ul><div>
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper &ndash; this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.

Fraud Recruitment Disclaimer

It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.

Anaplan does not:
<ul>
<li>Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.</li>
<li>Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.</li>
</ul>
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.</div></div>

Associate Backend Software Engineer (Python)

<div><div>At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture.

Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins &ndash; big and small.

Supported by operating principles of being strategy-led, values-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together!</div>
You will join the Predictive Intelligence engineering team within Anaplan, building the backend services that power the Syrup platform and Anaplan's forecasting and predictive solutions. The team owns the production services behind forecasting, scoring, and data processing, along with the pipelines and infrastructure that bring ML and AI capabilities to enterprise customers. As a senior backend engineer, you will design and build core services across this stack &mdash; writing clean, performant, well-tested Python that the rest of the team can build on. This role reports to the Director of Engineering for Predictive Intelligence and works closely with backend engineers, data scientists, and platform partners.

Your Impact
<ul>
<li>Design and implement scalable, fault-tolerant backend services and APIs as a core contributor across the Predictive Intelligence stack.</li>
<li>Build and evolve the forecasting, scoring, and data processing services that deliver predictive insights, with a focus on performance, scalability, and cost efficiency.</li>
<li>Write clean, well-tested, maintainable Python and establish patterns that make the codebase easier for the whole team to extend, operate, and reason about.</li>
<li>Partner with data scientists and ML engineers to integrate models into production services and build the data and inference pipelines around them.</li>
<li>Take part in on-call rotations and own the operational health of high-availability production services, including incident response and post-incident improvements.</li>
<li>Lead design reviews and code reviews, raising the quality bar across the team and mentoring mid-level and junior engineers.</li>
<li>Identify and drive cross-cutting platform improvements that benefit multiple services and teams.</li>
</ul>
Your Qualifications
<ul>
<li>Extensive professional software engineering experience building production backend services.</li>
<li>Strong proficiency in Python, with a track record of writing performant, well-tested, maintainable production code.</li>
<li>Hands-on experience operating containerized services on Kubernetes in at least one major cloud (AWS, GCP, or Azure).</li>
<li>Experience with data warehousing or analytics technologies such as Snowflake, Iceberg, Trino, or Postgres.</li>
<li>Working understanding of how ML and AI systems run in production, including the data and model pipelines that support them.</li>
<li>Demonstrated ability to work autonomously, take ownership of meaningful systems, and deliver against ambiguous requirements.</li>
<li>Track record of being on-call for production services and contributing to operational excellence.</li>
<li>Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.</li>
</ul>
Preferred Skills
<ul>
<li>Hands-on MLOps experience, including model training pipelines, deployment workflows, and tooling such as MLflow.</li>
<li>Experience productionizing data science or research code into stable, observable services.</li>
<li>Familiarity with data orchestration tools (e.g., Prefect, Airflow, dbt) and modern data lake architectures.</li>
<li>Experience with gradient-boosted tree models, neural networks, or optimization solvers in production.</li>
<li>Exposure to LLM or agentic application patterns and AI service integration.</li>
<li>Background in forecasting, demand planning, or retail/supply chain domains.</li>
</ul><div>
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper &ndash; this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.

Fraud Recruitment Disclaimer

It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.

Anaplan does not:
<ul>
<li>Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.</li>
<li>Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.</li>
</ul>
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.</div></div>

Senior Backend Software Engineer (Python)

<div><div>At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture.

Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins &ndash; big and small.

Supported by operating principles of being strategy-led, values-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together!</div><h3 class="jobSectionHeader">
Team Description</h3>

As part of the ADO team under GPTO Engineering, you'll report to the Sr. Director of Engineering. This team is accountable for Performance test automation, configuration, and verification delivering repeatable performance comparison testing and diagnosis across a range of ADO operations at enterprise scale, enabling high-performance AI-driven workloads, and acting as a technical bridge between engineering and architecture.
<h3 class="jobSectionHeader">
Your Impact</h3>

Team Leadership &amp; Development
<ul>
<li>Build, mentor, and scale a high-performing engineering team based on actual demand and delivery needs
</li>
<li>Provide hands-on coaching and guidance to Principal Engineers and team members, fostering technical excellence and career growth
</li>
<li>Quickly establish trust with team members, peers, and stakeholders through authentic engagement and delivery
</li>
<li>Champion an engineering culture that balances pragmatic delivery with sustainable practices
</li>
</ul>Delivery Excellence
<ul>
<li>Drive fast-paced, continuous delivery practices&mdash;leading the transformation from monthly to daily release cycles
</li>
<li>Balance process rigor with delivery velocity; know when documentation adds value and when it creates friction
</li>
<li>Apply and evangelize proper use of DORA metrics to measure and improve team performance
</li>
<li>Ensure platform capabilities for data processing, AI, and developer acceleration ship reliably and on schedule
</li>
<li>Take ownership of delivery outcomes; work proactively with Product Management without waiting for perfect requirements
</li>
</ul>Technical Strategy &amp; Collaboration
<ul>
<li>Partner closely with architects to align implementation patterns with long-term technical direction
</li>
<li>Create clear, compelling strategy papers, roadmaps, and presentations for technical and executive audiences
</li>
<li>Collaborate across globally distributed teams with awareness of time zone considerations and asynchronous work patterns
</li>
<li>Guide teams in embedding AI/ML features&mdash;prompt engineering, model inference, feature pipelines&mdash;into platform services
</li>
<li>Contribute to technical planning, architecture decisions, and incident retrospectives
</li>
</ul>Platform &amp; Product Mindset
<ul>
<li>Apply product thinking to platform solutions, ensuring they meet real business and customer needs
</li>
<li>Champion innovation in performance, tooling, and platform capabilities
</li>
<li>Oversee design and delivery of full stack solutions spanning React, Java, and Python
</li>
<li>Facilitate cross-functional collaboration across engineering, product, and architecture
</li>
</ul><h3 class="jobSectionHeader">Your Qualifications</h3>

Leadership &amp; Management
<ul>
<li>10+ years of software engineering experience with 5+ years in engineering management or technical leadership
</li>
<li>Proven track record managing teams through significant process transformations (e.g., monthly to daily releases)
</li>
<li>Experience managing both technical leads/Principal Engineers and individual contributors
</li>
<li>Demonstrated ability to scale teams thoughtfully based on demand, not politics
</li>
</ul>Technical Depth
<ul>
<li>Strong software development background with hands-on experience in platform, infrastructure, or data-centric environments
</li>
<li>Deep expertise in event-driven architectures, streaming technologies (e.g. Apache Kafka, Flink, and/or Pulsar)
</li>
<li>Proficiency across full stack technologies (Java, .Net, React) with the ability to guide technical decisions
</li>
<li>Knowledge of hybrid/cloud-agnostic infrastructure, CI/CD, GitOps, and continuous delivery workflows
</li>
</ul>Delivery &amp; Process
<ul>
<li>Pragmatic approach to balancing process, documentation, and speed of delivery
</li>
<li>Deep understanding of DORA metrics and their proper application to drive improvement
</li>
<li>Experience leading high-velocity engineering organizations with a daily release cadence
</li>
<li>Skilled at change management and cultural transformation in engineering teams
</li>
</ul>Communication &amp; Collaboration
<ul>
<li>Exceptional communication skills&mdash;written and verbal&mdash;with the ability to influence across all levels
</li>
<li>Experienced creating executive-level strategy documents, roadmaps, and presentations
</li>
<li>Comfortable working with globally distributed teams across multiple time zones
</li>
<li>Strong collaborative partnership with Product Management; proactive problem-solving mindset
</li>
</ul><h3 class="jobSectionHeader">Preferred Skills</h3>
<ul>
<li>Track record of building trust rapidly in new environments
</li>
<li>Passion for technical mentorship and elevating team capabilities
</li>
<li>Experience scaling systems and teams under high throughput demands
</li>
<li>Ability to navigate ambiguity and drive delivery without perfect information
</li>
<li>Comfort with asynchronous collaboration and remote team dynamics
</li>
<li>Experience in hybrid engineering-management roles (player-coach background)
</li>
</ul><div>Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper &ndash; this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.

Fraud Recruitment Disclaimer

It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.

Anaplan does not:
<ul>
<li>Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.</li>
<li>Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.</li>
</ul>
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.</div></div>

Senior Software Manager, QA

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