Senior Backend Engineer - Storyfinding Team

Man Group

About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $228.7 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com At Man Group, we respect your privacy and we are committed to protecting and safeguarding your Personal Data. We have developed policies and processes which are designed to provide for the security and integrity of your Personal Data. We are committed to Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information on how we process your data, please see the privacy notice for applicants here * As at 31 March 2026   The Role  We’re seeking Senior Python Engineers to join various teams across our technology organisation, working on diverse challenges spanning systematic trading, quantitative research, a petabyte-scale data platform, and AI solutions.  The role offers the opportunity to collaborate with and learn alongside highly skilled engineers whilst developing core technical and financial services knowledge. You will work with cutting-edge technologies and systems that power critical areas of Man Group’s business.    Role Responsibilities  * Design and maintain scalable backend systems and APIs that support quantitative research and trading infrastructure * Develop distributed compute applications, optmise performance, and implement monitoring and observability tooling to ensure system reliability * Build high-performance data pipelines for processing large-scale financial datasets using timeseries, SQL, and NoSQL databases * Partner with engineers, researchers, and platform teams to translate complex requirements into technical solutions that integrate with Man Group’s technology estate * Participate in production support rotations and contribute to architecture decisions, code reviews, and engineering best practices across the team * You should have the enthusiasm for leveraging AI development tools to accelerate delivery and driving their adoption across the team.   Our Technology  You’ll work in a modern, Linux-based infrastructure where Python is the primary development language, utilising the full scientific stack including pandas, numpy, scipy, and scikit-learn. A key component of our data infrastructure is ArcticDB (https://arcticdb.io/), our internally developed DataFrame database that you’ll use extensively. We maintain a dynamic technology landscape, continuously evaluating and adopting new tools and libraries that enhance our capabilities. man.com/technology    Key Competencies  Essential  * Minimum 5 years’ professional software development experience in any object-oriented language. Python experience is preferred, though we are open to candidates proficient in other object-oriented languages who are willing to learn Python. * Strong academic record with coursework focused on mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Science * Experience developing mission-critical production systems, with knowledge of best practices for testing, monitoring, and deployment Proficient on Linux platforms and strong understanding of Git * Strong knowledge of one or more relevant database technologies e.g. MS SQL, Postgres, or MongoDB * Demonstrated experience working with large data sets, both structured and unstructured * Ability to work independently and gather requirements from stakeholders * Embracing agentic engineering — willingness and ability to work effectively with AI -assisted development tools as part of daily workflow   Advantageous * Deep understanding of the Python scientific stack (pandas, numpy, scipy, scikit-learn)  * Familiarity with distributed systems and orchestration  * Knowledge of modern data engineering practices including data pipeline & ETL tools, distributed storage & processing and data warehousing  * Contributions to open-source projects  * Experience working with Large Language Models (LLMs)  * Experience mentoring junior team members and managing projects    Why Man Group?  * Work on challenging problems at the cutting edge of technology and finance   * Collaborate with world-class engineers, researchers, and investment professionals  * Receive on-the-job training to develop and succeed at the firm   * Entrepreneurial, innovation-driven culture  * Small, agile teams with high autonomy  * Opportunity to make a real impact on investment strategies managing billions in assets    Benefits   * Modern office located in the OfficeX campus with easy access to transport and amenities. * Hybrid working model * Competitive compensation package * 25 days holiday allowance * Premium Health insurance * Employee Assistance program * Referral Bonus * Additional days off for long service and volunteering * Multisport card * Opportunities for professional development including internal tech talks * Conference attendance, and engagement with the open-source community Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.

Payhawk

Company Mission Payhawk is a leading global spend management solution for scaling businesses. Headquartered in London and combining company cards, reimbursable expenses and accounts payable into a single product; its future-facing technology enables finance teams to control and automate company spending at scale. The Payhawk customer base includes fast-growing and mature multinational companies in 32 countries including LuxAir and Wagestream. With offices in New York, London, Berlin, Munich , Barcelona, Paris, Amsterdam, Vilnius and Sofia; Payhawk is backed by renowned investors such as Lightspeed Venture Partners, Greenoaks, QED Investors, Bek Ventures and Eleven Ventures. Our values include supporting flat hierarchies, taking ownership and responsibility, seeking and providing feedback, managing constructive critique, and speaking our minds. We understand that the best ideas don’t all come from the same place, so we encourage diversity and inclusion in all areas of our work. The future of fintech is about more than money, and we believe in work-life balance, continual learning, and empowered teams. We’re also on a journey to measure and improve our environmental and social impact. From virtual cards to digital subscriptions, our software and automation help take paper out of the equation for our customers, too. We’re changing the world of payments, and we’re looking for an exceptional team to help us.    About the Role To achieve our visionary goals, we are scaling up our robust engineering team and looking for a Full Stack Software Engineer to meet the compelling challenges we face. Our product consists of many services that are not limited to a single technology so it’s important that you are technology agnostic and eager to learn new stuff. You’ll be responsible for delivering entire, highly complex features to production. As part of a team of talented and highly experienced individuals, you’ll have the opportunity to shape everything. Our goal is to produce the best solution for our customers. Being part of the Payhawk team means that you’ll be developing a world-class product in the fast-growing fintech industry. We deliver an exceptional solution, and to continue doing so, we seek out the top 1% engineering talent.  Responsibilities * Lead the build of new product features and maintain existing ones by driving impactful engineering initiatives and owning end-to-end delivery. * Participate in the full software development lifecycle, including frontend, backend, testing, deployment, and LLM-based functionalities where applicable, while contributing to the architecture and proposing scalable, sustainable solutions. * Collaborate with product managers and designers to capture requirements and gain a strong business perspective on the features being implemented. * Break down complex, ambiguous problems into well-scoped and clearly defined tasks, ensuring alignment with product and technical goals. * Write scalable, high-performance, and maintainable code, ensuring testability, coverage, continuous integration, and backward compatibility. * Own feature delivery from discovery through deployment and monitoring, proactively addressing blockers and risks with minimal supervision. * Mentor and support other engineers through knowledge sharing, constructive feedback, and code reviews. * Collaborate across teams to remove dependencies, foster alignment, and ensure the team’s work fits into the broader technical direction. Requirements * Advanced programming experience and superior knowledge of programming languages and technologies: Node.js, TypeScript, PostgreSQL, Kubernetes, Docker, Google Cloud, React, React Native, Apache Kafka. * Bachelor's degree in Computer Science (or related field). * 6+ years of relevant work experience. * Experience with agile processes, continuous delivery, and continuous integration. * Ability to multitask, organize, and prioritize work. * Exceptional integrity and work ethic. * Nice to have: Experience working with LLMs, AI-driven architectures, and autonomous agents, including vector databases, embedding models, and MLOps practices.   Company Benefits * Competitive compensation package based on experience * 30 days holiday paid leave * One week exchange policy to another Payhawk office (London, Berlin, Barcelona, Paris, Amsterdam and Vilnius) * Flexible working hours and opportunity to work from home  * Regular team-wide events * Additional medical care  * MultiSport card fully funded by us * Company office massages * Personal assistant service * Opportunity to use the Payhawk product (that is, essentially, built by you)

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  The role   We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. Beyond technical delivery, we're looking for someone genuinely curious about the business problems behind the data — someone who can apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and shape business requirements, not just implement them as given. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake, and building ingestion, transformation, and curation workflows for both structured and unstructured data. You will implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold), ensuring systems are reusable, scalable, and aligned with enterprise needs. Enable AI, GenAI & Data Products Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems. You will enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows, ensuring that data is model-ready and production-grade. Data Modeling, Orchestration & Automation Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains. Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents, with strong focus on automation, reliability, and maintainability of end-to-end pipelines. Architecture, Governance & Observability Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC). Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence, ensuring systems remain trustworthy and production-ready. Data Serving, Integration & Optimization Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems, including ML and AI platforms. Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency. Requirements Discovery & Business Partnership Bring genuine curiosity to every engagement — ask the right questions to understand not just what stakeholders are asking for, but why. Apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and refine business requirements, surfacing gaps or better alternatives where they exist rather than simply executing a brief as written. Collaboration Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions. Support adoption of data products and contribute to best practices across the data and AI ecosystem. Must have qualifications Technical skills Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Cloud & Platforms (Key Requirement) Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Architecture & Systems Thinking Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Mindset Naturally curious, with strong problem-solving skills focused on scalability and reliability, and a collaborative approach to working in cross-functional teams. Comfortable applying common sense thinking, detailed analysis, and experience-based recommendations to help derive and challenge business requirements rather than taking them at face value. Experience in Agile or consulting environments is beneficial. Nice to have qualifications   Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation), as well as CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation.  Additional exposure to streaming technologies (e.g., Kafka), Spark optimization, or advanced analytics and ML workloads (including causal or experimentation platforms) is valuable. Experience building data products or large-scale analytics platforms is also beneficial.  Commitment to reaching all kinds of people  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  THE BENEFITS   Beyond a competitive compensation package, we offer:  * Flexibility, with hybrid work options and 25 vacation days for a healthy work-life balance. * Co-subsidized transportation & Multisport cards. * Premium health insurance for fast and easy access to top healthcare services. * Training policy for technical and other skills-related events, courses and certifications. * Personal career development roadmap guided by performance evaluations. * Self-care program offering psychological consultations & discussions for you and the team. * Cozy office space designed for comfort and productivity. * Exciting team events and company gatherings. YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.