28 jobs found

DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our own risk, across a broad range of asset classes, instruments and strategies, in financial markets around the world. As the markets have evolved over the past 30 years, so has DRW - maximizing opportunities to include real estate, cryptoassets and venture capital. With over 2000 employees and offices around the world, we work together to solve complex problems, challenge consensus and deliver meaningful results. It's a place of high expectations, deep curiosity and thoughtful collaboration. We are seeking a Senior Software Engineer to join our Unified Platform (UP) organization. UP consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision making and research, our platform simplifies implementing new ideas, enhancing our competitive edge. As a Software Engineer on one of the Unified Platform teams, you'll be part of a tight knit team of software engineers working closely with internal users (analysts, quants, traders) to develop innovative systems that enable research and trading. You'll experiment with emerging technologies to process data at scale. You'll wrestle a mountain of data into human understandable insights. We care deeply about preserving a respectful and diverse team culture. We are a group of polyglots and technologists always seeking to find the right tool for each problem, even if that means learning something new or reviving something old. We value business impact and outcomes over process, and we make decisions based on data. We strive to adapt quickly as business priorities change. What you'll do in this role: Develop tools to enable the business to rapidly embrace new opportunities in global markets Partner closely with internal customers to understand their needs and build intuitive self service tools Develop software for large scale data acquisition, storage, accessibility, and visualization Work with a team to maintain and extend our global markets reach Learn about market microstructure, financial instruments, and markets in which DRW participates or wants to participate in This could be a good fit if you: Are motivated to solve hard problems with deceptively simple solutions Think a lot about user experience and try to really understand end users' jobs and pain points Think a lot about APIs, modular design and testing Love refactoring and keep trying until you find a better answer Enjoy making the "right way to do it" the path of least resistance Have made a random tool for yourself and then peers ask for it then other teams ask for it Are fiercely proud of your project's reliability, performance and ease of maintenance Are excited to learn about financial markets, trading, etc. What we need on the team: At least 2 3 years of platform level software development experience Strong computer science fundamentals; a degree in Computer Science or equivalent work experience Strong experience with Java, Python or any modern programming language Experience processing high volumes of data at scale Excellent analytical and problem solving skills Comfort working within a globally distributed team A background in some of the following a bonus: Java experience Python experience Ruby experience Big data technologies: Spark, Trino, Kafka Financial Markets experience SQL: Postgres, Oracle Cloud native deployments: AWS, Docker, Kubernetes Observability: Splunk, Prometheus, Grafana

What's Exciting About the Role Verifone is seeking an experienced MySQL lead who will be responsible for ensuring database performance, high availability, and security of clusters and single instances of MySQL instances. You will also be responsible for orchestrating upgrades, backups, HA/DR, and provisioning database instances. You will work closely with other teams, including application architects, senior developers, and application support engineers for architecture design and SQL optimization, establishing and documenting best practices. We look for dedicated and versatile engineers who are passionate about working in a company whose culture is dedicated to delivering innovative software products that solve our customers' most challenging business needs. As a Lead DBA, you'll have the opportunity to make significant and direct impact on our database performance, applications, and solve some of the most complex challenges in cloud and on-prem environments, while leading the team from a technical and development perspective. Locations Bucharest, Romania London, United Kingdom Riga, Latvia Warsaw, Poland Key Responsibilities You will be responsible for ensuring that database management policies, processes and procedures are established and followed, adhering to ITIL good practice principles and are subjected to continuous improvement as per PCI standards. They will be responsible for reviewing system design changes to ensure they adhere to expected service standards and recommend changes to ensure maximum stability, availability and efficiency of the supported applications. The candidate should understand the application functionality, business logics and work with application stakeholders to understand the requirement and discuss with new application features and propose the right solutions. He must liaise closely and work in collaboration with the release management teams, support teams and the infrastructure DBAs. Design, install, deploy, and manage MySQL on physical, virtual, AWS EC2 / RDS / Aurora. Build MySQL clusters with a high availability, active active cluster setup in large scale and multi datacenter environments having minimum RPO/RTO on a DR scenario. Design and implement uniform backup strategy and business continuity plans across the MySQL environments using Percona XtraDB or custom automation scripts with reliable monitoring and alerting mechanisms. Define thorough and validated database monitoring and alerting, along with documentation for future references. Setup high availability with master master / master slave replication. Maintain stable performance via server optimizations. Guide engineering teams to best practices on server configurations and SQL tuning. Maintain security and compliance via OS and database version upgrades. Work with application stakeholders to create effective database solutions. Create and maintain ad hoc reports. Adhere to the incident and change process, prepare thorough documentation, and peer review planned production tasks. Support application release process, and automations. Mentor and develop other engineers on MySQL skills. Required Qualifications/Skills Minimum 8 years of experience managing MySQL. Experience with MySQL Active/Active cluster setup, database upgrade and migrations, scripting. Experience administrating MySQL on Linux platform. Experience with MySQL version upgrades in production environments with zero or very minimum application downtime. Experience with design & architecting MySQL environments using any framework such as Galera Cluster or Percona XtraDB. Experience deploying database monitoring using at least one of PMM, New Relic, Datadog, Nagios, Grafana, ELK, AppD, etc. Infrastructure as Code (IaC) such as Terraform, Ansible, Puppet, Chef. Proficiency with cloud infrastructure, AWS RDS or equivalent. Automation/scripting skills in a modern language like Python, shell scripting, Go, Java, Rust. Proficiency in CI/CD pipelines such as Jenkins, GitHub Actions, GitLab. Advanced experience with database performance tuning including SQL tuning, hardware configuration and capacity planning. Strong technical leadership, mentoring and time management skills. Preferred Skills Experience working with PCI (Payment Card Industry Data Security) standards. ITIL environment experience. Deep experience with SQL, stored procedures, functions, triggers, batch jobs, reporting, analytics. Experience managing PostgreSQL, SQL Server, and/or Oracle. Experience and knowledge with NoSQL and data engineering technologies such as Kafka, Redis, Snowflake, Databricks, Spark, Redshift, ETL, etc. Experience with data analytics and business intelligence. Our Commitment Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Lead Data Engineer (16877) Job Purpose This is a senior technical and leadership position, ideal for candidates with strong experience in cloud-based data engineering, team management, and a passion for innovation. The role offers significant responsibility, opportunities for professional growth, and a comprehensive benefits package within a leading European airline. Job Accountabilities Lead technical design, delivery, and implementation of data solutions within easyJet's IT estate. Manage and develop a team of Data Engineers and Analytics Engineers. Champion distributed data platforms and drive adoption of data products. Collaborate with cross-functional teams and stakeholders to deliver enterprise-level data solutions. Identify and champion new technologies and methods in data engineering. Ensure solutions meet technical standards and business requirements. Deputise for the Data Engineering technology manager as needed. Required skills include leadership, team management, technical expertise in cloud and big data, and strong communication. Desirable experience includes airline industry knowledge, AI solution adoption, and cloud-based OLAP. Key Skills & Behaviours Effective team management (onshore and offshore). Support for agile delivery and project estimation. Clear communication with technical and non-technical audiences. Complex problem-solving and process-driven approach. Passion for technology and hands on learning. Technical Skills Required Strong understanding of data concepts, modelling, and warehousing. Experience with cloud-based, big data distributed systems. Proficiency in Python, software development, and release engineering (TDD, CI/CD). Experience with Apache Spark or similar frameworks. Familiarity with cloud-based big data technologies (e.g., HDFS, Spark, Kafka, Delta, Hive). Experience with enterprise scheduling tools (e.g., Airflow). Linux and containerisation experience. Understanding of data management, security, and privacy (e.g., GDPR). Airline industry experience. Experience with AI solution adoption and regulatory/data privacy in data lakes. Cloud-based OLAP and infra as code (e.g., Terraform). Experience with modern lakehouse platforms (e.g., Databricks, Snowflake). Solution architecture background and data lake migrations. Familiarity with data science and analytics tooling (e.g., MLFlow, Tableau, Power BI). Location & Hours of Work We operate a hybrid working policy of 40-60% of the month spent with colleagues. Benefits We offer: Competitive base salary 25 days holiday, pension scheme, life assurance, and a flexible benefits package. Discounted staff travel scheme for friends and family Annual credit for discount on easyJet holidays 'Work Away' scheme, allowing you to work abroad for 30 days a year Electric vehicle lease salary sacrifice scheme Reasonable Adjustments At easyJet, we are dedicated to fostering an inclusive workplace that reflects the diverse customers we serve across Europe. We welcome candidates from all backgrounds. If you require specific adjustments or support during the application or recruitment process, such as extra time for assessments or accessible interview locations, please contact us at . We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation.

Position Details Position: Senior Software Developer (SFIA 4) Employment Type: Contractual - 6 Months Work Mode: Remote Shift: General UK Shift Experience Required: 5+ Years Nationality: Any Nationality Work Authorization: Candidates must have valid authorization to work in the UK Job Summary We are looking for an experienced Senior Software Developer (SFIA 4) to join a dynamic engineering team working on large-scale digital transformation projects. The ideal candidate should have strong hands-on experience in full-stack development, cloud technologies, microservices architecture, CI/CD pipelines, automated testing, and modern DevOps practices. The role requires collaboration with cross-functional Agile teams to build scalable, secure, and accessible applications while supporting cloud-native platforms and enterprise integrations. Key Responsibilities Design, develop, and maintain scalable applications using modern full-stack technologies. Develop backend microservices using Spring Boot and Node.js. Build responsive front-end applications using React-based technologies. Work on cloud deployment and infrastructure across AWS and Azure environments. Implement and maintain CI/CD pipelines using GitLab, Jenkins, Concourse, and related tools. Develop and integrate REST/HTTP APIs, Kafka messaging services, and MongoDB databases. Follow Agile methodologies with strong adherence to TDD/BDD practices. Perform automated testing for UI and APIs using Playwright, Selenium, Cucumber, Mockito, and Swagger. Ensure accessibility compliance aligned with WCAG 2.2 standards using assistive technologies such as JAWS and Dragon. Support Infrastructure as Code (IaC) initiatives using Terraform and Docker. Work with data engineering tools including Apache Spark, Python, Airflow, and Jupyter Notebooks. Participate in security and vulnerability scanning using tools like Trend Micro, Wiz, and Trivy/Trixy. Collaborate with integration teams and support enterprise integration products such as Data Access Layer and SFT. Required Skills & Technologies Backend & Microservices Node.js Spring Boot REST APIs Kafka MongoDB Frontend React.js or React-style front-end frameworks Cloud & DevOps AWS Azure exposure GitLab Jenkins / Concourse Docker Terraform Testing & Quality TDD / BDD Playwright Selenium Cucumber Mockito Swagger Data & Integration Apache Spark Python Airflow Jupyter Notebooks Security & Accessibility WCAG 2.2 compliance Accessibility testing tools (JAWS, Dragon) Security scanning tools such as Trend Micro, Wiz, and Trivy/Trixy Required Experience Minimum 5 years of software development experience. Strong experience in Agile delivery environments. Experience working on enterprise-scale applications and cloud-native systems. Good understanding of DevOps, automation, accessibility, and secure coding practices. Preferred Skills Exposure to UK Government or enterprise integration projects. Experience working with DWP Integration Team products and services. Knowledge of modern software architecture and distributed systems. Eligibility Criteria Must have valid authorization to work in the UK. Comfortable working in General UK Shift timings. Able to work remotely in a collaborative distributed team environment.

Join us and shape the future of risk technology with your expertise in data engineering and software development. You will have the opportunity to push boundaries, innovate, and make a meaningful impact on our business. We value diversity, inclusion, and respect, fostering a collaborative environment where your ideas matter. Experience career growth and mobility while working with market-leading technology products. Be part of a team that thrives on creativity and continuous improvement. As a Senior Lead Software Engineer at JPMorgan Chase within the Data Platform & Strategy team within Corporate Risk Technology, you will design, build, and enhance advanced data engineering solutions. You will play a pivotal role in delivering secure, stable, and scalable technology products that support our business objectives. You will collaborate with agile teams, contribute to technical strategy, and drive innovation across multiple technical areas. Your work will help shape the team culture and the impact of our technology solutions. Job Responsibilities Execute creative software solutions, design, development, and technical troubleshooting to solve complex problems Develop secure, high-quality production code for data-intensive applications and review code written by others Identify opportunities to automate remediation of recurring issues and improve operational stability Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials Drive communities of practice across Software Engineering to promote new and leading-edge technologies Foster a team culture of opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Proficiency in Engineering & Architecture, AI/ML, with hands on experience designing, implementing, testing, and ensuring operational stability of large scale enterprise data platforms Advanced skills in one or more programming languages such as Java, Python, C/C++, or C# Practical experience delivering system design, application development, testing, and operational stability Working knowledge of relational and NoSQL databases and data lake architectures Experience developing, debugging, and maintaining code with modern programming languages and database querying languages Experience in large scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal) Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies, CI/CD, application resiliency, and security Practical cloud native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile Knowledge of the financial services industry and their IT systems

Data Engineering - Data, Lakehouse and AI Data Platform Engineer - Analyst/Associate - London Job Description The Opportunity Join a team building the data foundations that support the firm's AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well governed and high performing data use across the firm. At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform. This is a delivery focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision making and emerging AI use cases, and may also help extend platform tooling where additional functionality is needed. Role Summary As a Data Engineer in the Lakehouse and AI Data Platform team, you will design, build, test and support data pipelines and curated datasets on the firm's modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose. Where there are gaps in platform functionality, you may also contribute to shared tooling or framework components that improve how the platform is used and operated. The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases. Key Responsibilities Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform. Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability. Where needed, build reusable tooling to improve delivery, consistency and operational support. Ensure data pipelines are production ready, well tested and operationally supportable. Data Modelling and Curation Develop raw, refined and curated datasets that support analytics, reporting and AI use cases. Apply sound data modelling principles to represent business entities, relationships and historical change accurately. Work with consumers to shape data products that are usable, well documented and aligned to business needs. Data Quality and Reconciliation Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets. Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise. Contribute to clear standards for testing, monitoring and issue resolution. Contribute to practical improvements in testing, monitoring or reconciliation tooling where these strengthen platform reliability and day to day delivery. Delivery and Partnership Work closely with engineers, platform teams and data consumers to deliver agreed outcomes to time and quality expectations. Communicate clearly on progress, risks, dependencies and design choices, including where delivery would benefit from improvements to shared platform tooling. For more senior candidates, take a broader role in technical leadership, task breakdown and support for junior engineers. Skills and Experience Required Bachelor's or master's degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise. Strong hands on programming experience in Python or Java. Good working knowledge of SQL, including troubleshooting, optimisation and data analysis. Ability to learn new tools, internal platforms and delivery workflows quickly. Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices. Data Engineering Capability Understanding of temporal data modelling, including the handling of historical state and change over time. Knowledge of schema design, schema evolution and data compatibility considerations. Understanding of partitioning, clustering and other techniques used to improve data performance at scale. Ability to make sensible design choices across normalised and denormalised models, and between natural and surrogate keys. Practical approach to data quality, reconciliation and root cause analysis. Experience building or supporting production data pipelines in a collaborative engineering environment. Experience working with distributed data processing frameworks such as Apache Spark. Working knowledge of common data formats such as JSON, Avro and Parquet. For More Experienced Candidates Stronger ownership of technical design across multiple datasets or pipeline domains. Experience guiding implementation standards, code quality and engineering practices within a team. Ability to lead delivery for a workstream, manage dependencies and support less experienced engineers. Technology Environment The role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise in every tool from day one but should bring relevant experience and the ability to work across comparable technologies. Examples of technologies in scope include: Data processing and logic:ANSI SQL, Apache Spark, Kafka Platforms and storage:Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment:CI/CD tooling, containerised or Kubernetes based deployment approaches where relevant You will also work with internal data management and platform tooling, so a practical and adaptable engineering mindset is important. What We Are Looking For We are looking for engineers who can deliver well structured, reliable solutions in production and who take ownership of the quality of what they build. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast paced environment where data platforms support important business outcomes. It will also suit candidates who are willing to contribute to shared tooling or platform components that make the wider engineering environment more effective. Stronger candidates will typically demonstrate: sound judgement in technical trade offs attention to detail in data correctness and testing a clear and structured approach to problem solving willingness to work closely with stakeholders and partner teams an ability to identify when delivery problems would be better solved through reusable tooling or platform improvements an interest in developing long term expertise within the firm ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Job Info Job Identification 169292 Job Category Associate Posting Date 04/16/2026, 03:00 PM Locations London, Greater London, England, United Kingdom Healthcare & Medical Services We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement . click apply for full job details

The Opportunity Join a team building the data foundations that support the firm's AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm. At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large-scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform. This is a delivery-focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision-making and emerging AI use cases, and may also help extend platform tooling where additional functionality is needed. Role Summary As a Data Engineer in the Lakehouse and AI Data Platform team, you will design, build, test and support data pipelines and curated datasets on the firm's modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose. Where there are gaps in platform functionality, you may also contribute to shared tooling or framework components that improve how the platform is used and operated. The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases. Key Responsibilities Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform. Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability. Where needed, build reusable tooling to improve delivery, consistency and operational support. Ensure data pipelines are production-ready, well tested and operationally supportable. Data Modelling and Curation Develop raw, refined and curated datasets that support analytics, reporting and AI use cases. Apply sound data modelling principles to represent business entities, relationships and historical change accurately. Work with consumers to shape data products that are usable, well documented and aligned to business needs. Data Quality and Reconciliation Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets. Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise. Contribute to clear standards for testing, monitoring and issue resolution. Contribute to practical improvements in testing, monitoring or reconciliation tooling where these strengthen platform reliability and day-to-day delivery. Delivery and Partnership Work closely with engineers, platform teams and data consumers to deliver agreed outcomes to time and quality expectations. Communicate clearly on progress, risks, dependencies and design choices, including where delivery would benefit from improvements to shared platform tooling. For more senior candidates, take a broader role in technical leadership, task breakdown and support for junior engineers. Skills and Experience Required Bachelor's or master's degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise. Strong hands-on programming experience in Python or Java. Good working knowledge of SQL, including troubleshooting, optimisation and data analysis. Ability to learn new tools, internal platforms and delivery workflows quickly. Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices. Data Engineering Capability Understanding of temporal data modelling, including the handling of historical state and change over time. Knowledge of schema design, schema evolution and data compatibility considerations. Understanding of partitioning, clustering and other techniques used to improve data performance at scale. Ability to make sensible design choices across normalised and denormalised models, and between natural and surrogate keys. Practical approach to data quality, reconciliation and root-cause analysis. Experience building or supporting production data pipelines in a collaborative engineering environment. Experience working with distributed data processing frameworks such as Apache Spark. Working knowledge of common data formats such as JSON, Avro and Parquet. For More Experienced Candidates Stronger ownership of technical design across multiple datasets or pipeline domains. Experience guiding implementation standards, code quality and engineering practices within a team. Ability to lead delivery for a workstream, manage dependencies and support less experienced engineers. Technology Environment The role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise in every tool from day one but should bring relevant experience and the ability to work across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes-based deployment approaches where relevant You will also work with internal data management and platform tooling, so a practical and adaptable engineering mindset is important. What We Are Looking For We are looking for engineers who can deliver well-structured, reliable solutions in production and who take ownership of the quality of what they built. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast paced environment where data platforms support important business outcomes. It will also suit candidates who are willing to contribute to shared tooling or platform components that make the wider engineering environment more effective. Stronger candidates will typically demonstrate: sound judgement in technical trade-offs attention to detail in data correctness and testing a clear and structured approach to problem solving willingness to work closely with stakeholders and partner teams an ability to identify when delivery problems would be better solved through reusable tooling or platform improvements an interest in developing long term expertise within the firm We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Healthcare & Medical Insurance We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health Services We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state of the art on site health centers in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre approved amount). Child Care & Family Care We offer on site child care centers that provide full time and emergency back up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at Goldman Sachs Read more about the full suite of class leading benefits our firm has to offer.

Senior Backend Software Engineer - Application Development Own the architecture and delivery of scalable backend services for Palantir's Foundry platform. Location: London About The Role Palantir builds the world's leading software for data driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. Backend Software Engineers at Palantir build software at scale to transform how organizations use data. Our Software Engineers are involved throughout the product lifecycle, from idea generation, design, prototyping, and production delivery. You will collaborate closely with technical and non technical teammates to understand our customers' problems and build products that solve them. We encourage movement across teams to share context, skills, and experience, so you'll learn about many different technologies and aspects of each product. Engineers work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop, becoming a strong technical contributor and engineering leader. Your day to day workflow will vary, adapting to the requirements of our users and the technical challenges that arise. One day, you may find yourself collaborating with other engineers to architect a new system that enables a novel workflow; the next you could be fine tuning performance to enable low latency operational outcomes. Foundry Software Engineers may be offered the opportunity to Frontline, an exclusive program unlike any other. This unique, short term assignment involves being embedded with customers, allowing you to work directly with users and gain firsthand insight into how our products are used and the challenges our customers face. Frontliners operate across a broad spectrum of responsibilities, much like a startup CTO. They work in small teams to own the end to end execution of high stakes projects. By witnessing how customers engage with Foundry, you'll gain unique insights that feed directly back into our development process, helping to refine and enhance our products. Core Responsibilities Leading the architecture, development, and maintenance of high performance, scalable backend services that underpin our operational data and AI systems Maintaining high coding standards through the development of guidelines, active participation in code reviews, and fostering a culture of continuous improvement and knowledge sharing among your team Building robust APIs for use by front end developers and interfacing external systems, and collaborating with front end developers to integrate user facing elements with server side logic Designing efficient data structures and algorithms to manage large scale and high throughput data Optimizing applications for speed and scalability through performance analysis Actively improving user workflows by collaborating with cross functional teams, ensuring seamless experiences across product boundaries and a cohesive user experience Technologies We Use Different backend languages, including Java, Rust, Python and Go Distributed systems technologies such as Kafka, Cassandra, Elasticsearch and Spark Docker and Kubernetes for containerization and orchestration Industry standard build tooling, including Gradle and GitHub What We Value A deep understanding of server side logic, efficient data handling, and distributed systems Strong focus on creating user oriented workflows and solutions, crossing product boundaries to deliver cohesive and solid user workflows that ensure a seamless and intuitive user experience Experience building high quality software in a fast paced CI/CD development environment Ability to work collaboratively in teams of technical and non technical individuals and understand how technical decisions impact the people who will use what you're building Skill and comfort working in a constantly evolving environment with dynamic objectives and iteration with users Active US Security clearance, or eligibility and willingness to obtain a US Security clearance is beneficial but not necessary What We Require 6+ years experience in designing, developing, and leading features and improvements, as well as supporting and maintaining, live backend systems In depth understanding of data structures, system architecture, API development for microservices frameworks, distributed systems and other backend related concepts and best practices Engineering background in Computer Science, Mathematics, Software Engineering, Physics or similar field Strong coding skills with demonstrated proficiency in programming languages, such as Java, C++, Python, Rust, or similar languages Strong written and verbal communication skills and ability to iterate quickly with teammates, incorporating feedback and holding a high bar for quality We are committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help.

Salary: Competitive Plus Benefits Location: London Store Support Centre and Home, London, EC1M 6HA Contract type: Permanent Business area: Sainsbury's Tech Closing date: 18 May 2026 Requisition ID: 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. In a nutshell In Sainsbury's Tech we build the technology which powers the UK's number 1 multi-channel, multi-brand retailer. Our Engineering squads are key to building and running our technology. Senior Engineers have the accountability, using and applying chosen principles and operating frameworks to define and deliver through the use of technology in their squad. As an individual contributor, the role supports the squad, enabling performance through sharing their expertise, judgement and passion for delivering for customers. Our Engineering Technical Competency framework and the community of practice enables the role to be part of a progressive community and this role contributes to this success. What I am accountable for Lead design and build of real-time and batch data pipelines (Spark, Kafka, Snowflake, event-driven, serverless) Lead implementation of cloud solutions (AWS, Azure, GCP) Design and support internal services and engineering frameworks Provide technical leadership, guidance and support to engineers Champion best practice in CI/CD, monitoring, performance and alerting Collaborate across squads and lead cross-team interactions Embed security by design in all engineering outputs Drive a customer centric approach to engineering and delivery Champion adoption of new technologies and engineering approaches Solve complex problems with both big picture and detailed thinking Mentor engineers and contribute to the engineering community Deep experience building production grade data pipelines (batch and/or streaming) Proven expertise in modern cloud platforms (AWS, Azure or GCP) Strong understanding of software engineering principles and system design Hands on experience with CI/CD, infrastructure as code and DevSecOps practices Experience designing and implementing scalable, reliable data systems Ability to own and deliver across the full software development lifecycle Proven experience influencing, mentoring or guiding other engineers Strong collaboration skills across teams, including distributed/offshore teams Demonstrated use of agile or lean delivery methodologies Evidence of continuous learning and adoption of new technologies What I need to show Self driven with a focus on improving team and engineering outcomes Advocate of agile and lean delivery approaches Passion for delivering customer focused solutions and owning outcomes Curiosity and ongoing development in emerging technologies Empathy and support for colleagues within the squad Ability to motivate and engage engineers across locations 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 get 10% off at Sainsbury's, Argos, TU and Habitat after 4 weeks. This increases to 15% off at Sainsbury's every Friday and Saturday and 15% off at Argos every pay day. 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, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy additional holiday. 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, pay 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, you will also be eligible for private healthcare too. 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 for a range of our benefits (note, length of service and eligibility criteria may apply).

Senior Software Engineer Manchester - Hybrid At INRIX, our mission is to help the world avoid global gridlock by empowering cities, drivers, and businesses around the world to keep vehicles moving smarter, safer, and more efficiently. We are a company filled with people who are passionate about our customers and building products which facilitate efficiency and safety in how the world travels. We do data at a massive scale. Do you want to be at the heart of turning raw location-based data into insights and action? Our team is at the core of many of the products that INRIX delivers. We're looking for senior software engineers that can play a big role in both real-time and historical speed and mobility data calculation systems. One who relishes the challenges of computing data at scale, takes pride in building robust systems, and loves to learn and keep up with the latest cloud computing technology. What you'll do: Work as part of a small team building and testing scalable, reliable, and efficient data driven systems. Be more than a team player, but a leader. Seeing the big picture, be able to make judgment calls and decisions for the company's sake and with a customer lens and empathy. Keep up with technology and love to make things better because that's the right thing to do, not because you're told. Use your Design Experience to do more than just code what's given to you. We want people who can create thoughtful, efficient, and durable designs that operate at large scale, run reliably and efficiently. Work on high profile systems that make a substantial impact to the company's bottom line. Work with partner teams to regularly deploy and monitor these systems to ensure optimum up time with minimal impact to customers. We're a small company with a broad reach and must think creatively to make things efficient, deal with the variabilities of the real world, and solve customer problems. Got ideas? We want to hear them. About you: Software Engineer with 6+ years of experience in production level software development, architecture, and design. Solid coding skills, including proficiency in Java and at least a basic understanding of Python. Experience with Spark, Hadoop, Kafka, MapReduce or other big data technologies experience highly desirable. Solid DB skills (relational, document and key-value) and SQL-like languages would be a plus. Experience developing high scale, REST based APIs that are performant for internal and external data delivery. Experience with manipulating geo-spatial data via technologies like PostGIS would be desirable. Experience with one or more of the following would also be beneficial. Scala. AWS services like Kinesis, RDS, Elasticache, S3, Athena, Data pipeline, Glue, Lambda, EMR, Spark, EC2, ECS, CloudWatch or Elastic Beanstalk. Familiarity with Jenkins, GitHub Actions, and Terraform similar tools would also be a plus. Experience with software development best practices: CI/CD, containerization, cloud technologies and microservices. A team player - we highly regard collaboration but we also want to see leadership among our senior people. Bachelor or advanced degree in computer science, mathematics, or related discipline. Why INRIX? Help solve complex real-world problems with big data. Hybrid, yet flexible, working environment. The people and passion: Meet and work with people that are smart, helpful, and love what they're doing. Plethora of snacks, drinks, lunches, and opportunities for folks to get to know other people in the company with opportunity to travel to our offices across the globe. Have the opportunity to make a big impact to your team, the company, and our customers. Equality of opportunity is at the heart of our recruitment process. You'll be judged on your suitability for the job and nothing else.

warpSpeed is pioneering the world's premier Application AI tool, elevating the use of Daily Tools to create unprecedented productivity and insights for users, moment by moment, hour by hour. We're on a mission to create hundreds of powerful life-changing AI services that usher in a new wave of intelligence, awareness, and productivity for the human race. The Opportunity: We're seeking visionary Senior Application Architect to join our team and play a pivotal role in shaping the technical foundation of our groundbreaking productivity platform. In this role, you'll be responsible for designing and overseeing the implementation of robust, scalable, and innovative AI-powered systems that form the core of warpSpeed's offerings. Key Responsibilities: Leading the design and architecture of warpSpeed's Application AI platform, ensuring scalability, performance, and integration of multiple AI services. Develop technical strategies to seamlessly integrate AI capabilities into daily productivity tools such as calendars, task managers, and communication apps. Create architectural blueprints for new AI features and services, considering factors such as data flow, processing requirements, and user experience. Establish best practices, coding standards, and architectural guidelines for the development team. Evaluate and recommend new technologies, frameworks, and tools to enhance our AI capabilities and overall system performance. Lead technical discussions and present architectural decisions to both technical and non technical stakeholders. Mentor and guide junior architects and engineers, fostering a culture of innovation and technical excellence. Qualifications: Master's or Ph.D. in Computer Science, Software Engineering, or a related field, with 10+ years of experience in software architecture (including 5+ years in AI/ML systems). Proven track record of designing and implementing large scale, distributed AI systems. Deep understanding of AI and machine learning (natural language processing, computer vision, predictive modeling). Extensive experience with cloud platforms (AWS, Google Cloud, Azure) and their AI/ML offerings. Strong programming skills (Python, Java, C++) and experience with DevOps practices (CI/CD). Knowledge of big data technologies (Hadoop, Spark, Flink). Knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB), message queueing systems (Kafka, RabbitMQ), and version control systems (Git). Preferred Skills: Hugging Face Transformers. Familiarity with time series databases and analysis tools. Knowledge of AI model serving frameworks like TensorFlow Serving or ONNX Runtime. Experience with AI ethics and bias mitigation techniques. Familiarity with GPU acceleration and distributed computing for AI workloads. Career Growth and Impact: Technical Leadership and Innovation: Lead the architectural vision for a revolutionary Application AI platform. Opportunity to solve complex technical challenges at the intersection of AI, cloud computing, and productivity tools. Influence the direction of AI applications in daily software tools. Play a key role in a rapidly growing startup that's redefining productivity in the AI era. Opportunity to shape the future of work and personal productivity for millions of users. Clear path for career advancement as we expand our technical capabilities and market reach. Collaborative Environment: Work alongside world-class AI researchers, data scientists, and software engineers. Regular architecture review sessions and innovation workshops. Encouragement to explore and implement cutting edge technologies. Electric car salary sacrifice scheme. Market leading compensation. Flexible working arrangements. Team building events and celebrations.

Vortexa is a fast-growing international technology business founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole. Processing thousands of rich data points per second from many vastly different external sources, moving terabytes of data while processing it in real-time, running complex prediction and forecasting AI models while coupling their output into a hybrid human-machine data refinement process and presenting the result through a nimble low-latency SaaS solution used by customers around the globe is no small feat of science and engineering. This processing requires models that can survive the scrutiny of industry experts, data analysts and traders, with the performance, stability, latency and agility a fast-moving startup influencing multi-$m transactions requires. The Data Platform Team is responsible for all of Vortexa's data. The team's ownership ranges from raw satellite AIS/imaging data to unstructured textual and graphical maritime data like fixtures, port lineups, and customs filings. The team is also responsible for highly structured datasets such as price and supply-demand forecasts as well as modeling the global energy flows and tanker fleet distributions. The team has built a variety of procedural, statistical and machine learning models that enabled us to provide the most accurate and comprehensive view of energy flows. We take pride in applying cutting-edge research to real-world problems in a robust, long-lasting and maintainable way. The quality of our data is continuously benchmarked and assessed by experienced in-house market and data analysts to ensure the quality of our predictions. You'll be instrumental in designing and building infrastructure and applications to propel the design, deployment, and benchmarking of existing and new pipelines and ML models. Working with software and data engineers, data scientists and market analysts, you'll help bridge the gap between scientific experiments and commercial products by ensuring 100% uptime and bulletproof fault-tolerance of every component of the team's data pipelines. Vortexa was founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global flows of oil and fuels in real-time, optimising the energy markets and enabling the society as a whole to use the natural resources of our planet to the benefit of all. You Are: Fluent in Python and software engineering fundamentals, and comfortable with highly scalable data processing libraries Strong expertise in distributed systems, micro-service architectures and scalable data processing pipelines Driven by working in an intellectually engaging environment with the top minds in the industry, where constructive and friendly challenges and debates are encouraged, not avoided Excited about working in a start-up environment: not afraid of challenges, excited to bring new ideas to production, and a positive can-do will-do person, not afraid to push the boundaries of your job role Experienced in building distributed heavy-load backend systems that can go through terabytes of data daily Passionate about coaching developers, helping them improve their skills and grow their careers Deep experience of the full software development life cycle (SDLC), including technical design, coding standards, code review, source control, build, test, deploy, and operations Awesome If You: Are experienced in Rust / Java / Kotlin Have experience with AWS, Apache Kafka, Kafka Streams, Apache Beam / Flink / Spark - especially deployment, monitoring & debugging Have experience with productisation of Machine Learning research projects Are familiar with Airflow or other workflow orchestration tools, and worked with Kubernetes Understand data lake systems and file formats like Parquet, Orc, Athena Have some relevant AWS or Kafka certifications A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge A team of motivated characters and top minds striving to be the best at what we do at all times Constantly learning and exploring new tools and technologies Acting as company owners (all Vortexa staff have equity options) in a business-savvy and responsible way Motivated by being collaborative, working and achieving together A flexible working policy- accommodating both remote & home working, with regular staff events Private Health Insurance offered via Vitality to help you look after your physical health Global Volunteering Policy to help you 'do good' and feel better

Vortexa is a fast-growing international technology business founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole. Processing thousands of rich data points per second from many vastly different external sources, moving terabytes of data while processing it in real-time, running complex prediction and forecasting AI models while coupling their output into a hybrid human-machine data refinement process and presenting the result through a nimble low-latency SaaS solution used by customers around the globe is no small feat of science and engineering. This processing requires models that can survive the scrutiny of industry experts, data analysts and traders, with the performance, stability, latency and agility a fast-moving startup influencing multi-$m transactions requires. The Data Platform Team is responsible for all of Vortexa's data. The team's ownership ranges from raw satellite AIS/imaging data to unstructured textual and graphical maritime data like fixtures, port lineups, and customs filings. The team is also responsible for highly structured datasets such as price and supply-demand forecasts as well as modeling the global energy flows and tanker fleet distributions. The team has built a variety of procedural, statistical and machine learning models that enabled us to provide the most accurate and comprehensive view of energy flows. We take pride in applying cutting-edge research to real-world problems in a robust, long-lasting and maintainable way. The quality of our data is continuously benchmarked and assessed by experienced in-house market and data analysts to ensure the quality of our predictions. You'll be instrumental in designing and building infrastructure and applications to propel the design, deployment, and benchmarking of existing and new pipelines and ML models. Working with software and data engineers, data scientists and market analysts, you'll help bridge the gap between scientific experiments and commercial products by ensuring 100% uptime and bulletproof fault-tolerance of every component of the team's data pipelines. Vortexa was founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global flows of oil and fuels in real-time, optimising the energy markets and enabling the society as a whole to use the natural resources of our planet to the benefit of all. You Are: Fluent in Python and software engineering fundamentals, and comfortable with highly scalable data processing libraries Strong expertise in distributed systems, micro-service architectures and scalable data processing pipelines Driven by working in an intellectually engaging environment with the top minds in the industry, where constructive and friendly challenges and debates are encouraged, not avoided Excited about working in a start-up environment: not afraid of challenges, excited to bring new ideas to production, and a positive can-do will-do person, not afraid to push the boundaries of your job role Experienced in building distributed heavy-load backend systems that can go through terabytes of data daily Passionate about coaching developers, helping them improve their skills and grow their careers Deep experience of the full software development life cycle (SDLC), including technical design, coding standards, code review, source control, build, test, deploy, and operations Awesome If You: Are experienced in Rust / Java / Kotlin Have experience with AWS, Apache Kafka, Kafka Streams, Apache Beam / Flink / Spark - especially deployment, monitoring & debugging Have experience with productisation of Machine Learning research projects Are familiar with Airflow or other workflow orchestration tools, and worked with Kubernetes Understand data lake systems and file formats like Parquet, Orc, Athena Have some relevant AWS or Kafka certifications A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge A team of motivated characters and top minds striving to be the best at what we do at all times Constantly learning and exploring new tools and technologies Acting as company owners (all Vortexa staff have equity options) in a business-savvy and responsible way Motivated by being collaborative, working and achieving together A flexible working policy- accommodating both remote & home working, with regular staff events Private Health Insurance offered via Vitality to help you look after your physical health Global Volunteering Policy to help you 'do good' and feel better

Senior Software Engineer - Loyalty (Sparks) As part of the M&S Software Engineering team, you'll be joining a well-loved historic brand, working on solutions that serve millions of loyal customers and thousands of colleagues! With ethical values that run right through the company's core and technology leaders that truly understand software engineers and engineering, it's an exciting time as we're redefining ourselves into a digital first and engineering led organisation, with the quality of our engineering team being a key differentiator. As a Senior Software Engineer, your expertise will help us on this journey - creating customer facing capabilities that are robust, scalable, observable, and grounded in best in class engineering practice. The M&S Loyalty team is looking for a Senior Software Engineer to join our dynamic, high impact engineering group. You will provide technical expertise, ship thoughtful solutions, and operate with excellence. Creative, curious, and fearless, you will be an integral part of our empowered, self managing engineering team, pushing the boundaries of our Sparks loyalty experiences and underpinning systems. Our team owns the Loyalty Platform - services that underpin the customer journeys and functional capabilities used across the Sparks ecosystem. We enable product teams to ship faster, safer, and with higher quality by providing a worldclass customer and developer experience foundation. In this role, you will help us drive our ambition to build a best in class software engineering team, culture, and environment. Join our community of engineers to build a modern digital ecosystem, improve the experience for millions of customers, and do the best work of your career. What You'll Do Build, evolve, and maintain Loyalty platform services, ensuring they enable secure, scalable, and high-performance interactions for customers across Sparks journeys. Take end-to-end ownership of features - from design and development through testing, deployment, documentation, and production monitoring. Contribute to the technical direction of the Loyalty team, shaping solutions that balance user experience, scalability, maintainability, and operational excellence. Write clean, maintainable, well tested code and champion engineering best practices across the organisation. Work closely with engineers across multiple domains to understand needs, reduce friction, and improve customer and developer experience. Participate in our support rota and take shared responsibility for the reliability, observability, and operational health of Loyalty services. Contribute to code reviews, pair programming, tech discussions, working groups, and documentation to share knowledge and continually raise engineering standards. Influence and advocate for foundational engineering improvements, modernisation initiatives, and enhancements across the Sparks ecosystem. Mentor engineers at different levels through coaching, pairing, and structured feedback. Who You Are Experienced in building and scaling distributed systems Familiar with JVM based languages or backend service frameworks (Micronaut is a plus but not essential). Handson experience with DevOps, CI/CD, automated testing, and operating what you build. Familiarity with modern event driven technologies, particularly Kafka Experienced in cloud environments (preferably Azure) and container platforms such as Kubernetes. Strong understanding of modern backend development, platform adjacent standards, and scalable architectural patterns. Pragmatic, collaborative, and comfortable working in a high autonomy team with strong engineering culture. Passionate about enabling other engineers and improving engineering experience at scale. Tech Stack M&S uses a variety of technologies and, as part of our modernisation drive, will continue to introduce new ones. Technologies you may work with include: Java, node.js JUnit, Mockito, testcontainers Micronaut, GraphQL, gRPC Azure Cloud, Kubernetes GitHub Actions, Dynatrace Snyk, Semgrep, Wiz Java, Spring, Micronaut SQL Server, MongoDB Redis, Ignite What's In It For You Working at M&S means being part of something bigger - helping deliver quality, value, and service to millions every day. We're inclusive, fastmoving, and always evolving, with a strong sense of purpose and a focus on doing the right thing. 20% colleague discount on all M&S products and many third party brands Competitive holiday allowance with the option to buy more Discretionary performance based bonus schemes Strong pension and life assurance Tailored induction and continuous development support Exclusive perks and savings through our M&S Choices portal Market leading, family friendly policies (parental, adoption, neonatal leave) 24/7 wellbeing support including virtual GP and mental health services One paid volunteer day per year Everyone's Welcome We are ambitious about the future of retail - disrupting, innovating, and leading our industry into a more conscientious, inspiring digital era. We're transforming how we work together and offering our most exciting opportunities yet. We are committed to building diverse and representative teams where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together. If you feel you'd benefit from support or reasonable adjustments during any stage of the recruitment process, please let us know when completing your application so we can ensure you are set up for success.

Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions. Role Overview TP ICAP are looking for a Senior Java Developer delivering low latency, highly available trading system components with deep expertise in Java, FIX connectivity, and distributed real time messaging. In this role, you will be responsible for designing, building, and optimising mission critical trading services across multiple asset classes. Role Responsibilities Experience / Competences Strong experience designing and building high performance, low latency Java services within electronic tradingStrong experience with distributed messaging technologies (Solace/Kafka) and real time systems Strong experience designing and building event-driven systems deployed to cloud environments (AWS, EC2, EKS, Kubernetes)Experience with memory architectures and network performance in low latency platformsExperience with Maven or Gradle (Maven preferred), and JUnit Experience in Git or other source control systemsExperience in CI/CD concepts Strong communication skills with the ability to collaborate effectively across globally distributed engineering, product, and operations teamsExperience with FX, Credit, or Commodities electronic trading flows Knowledge of FIX engines and market connectivity workflows Knowledge of Linux engineering, troubleshooting, and performance optimisation Experience with Spring Boot or Google Guice dependency injection frameworksExperience with observability stacks (Open Telemetry, Grafana) Experience with distributed caching solutions such as HazelcastExperience with BDD and automation frameworks (Cucumber) Connecting clients, communities and colleagues for sustainable growth TP ICAP connects people, platforms, ideas, and insight across the world's financial, energy and commodities markets. As a global leader in market infrastructure and data-led solutions, we enhance market access, increase efficiencies, and unlock possibilities. Work with us Joining TP ICAP puts you at the heart of markets that matter.You'll have the freedom to innovate and act on your initiative. We'll train you and build your abilities in your specialist area, so that you can become an expert in your field. And all within a connected network that's there to set you up for success.TP ICAP Group is a collection of premium brands each with a distinct, client-focused offering. Underpinning and connecting these client-facing brands is the financial security, operational strength and know-how we have as a Group.Connections are at the heart of what we do. We combine our people's know-how with the latest technology to improve price discovery, trade execution and liquidity flow.Connections create strength. Through them, we help our clients to manage risk, realise investment strategies and expand the scope for growth.And connections act as a catalyst. Sparking richer solutions for our clients to break new ground, modernising markets for future performance, and creating dynamic careers for our people. Our capacity to connect builds trust, supports communities and gives us the power to anticipate and respond to change, whatever direction the world takes. It's what makes TP ICAP a mainstay in the global markets, now and in the future.TP ICAP. We connect.

Principal Data Scientist page is loaded Principal Data Scientistremote type: Hybridlocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R What You'll Do Lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement. Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes. Lead the modeling framework for complex systems, guaranteeing comprehensive evaluation and monitoring of causal inference, uplift modeling, sequential decisioning, bandits/reinforcement learning, and forecasting. Partner with game teams to define success metrics, guardrails, and decision frameworks, translating analytical results into actionable product and operational actions. Define and uphold engineering standards and guidelines for model development, including validation, uncertainty, reproducibility, and bias/quality checks. Drive scalable experimentation with A/B and Multi-armed bandit testing frameworks, power analysis, variance reduction, and online-offline alignment. Work together with Data Engineering, MLOps, and Game Tech teams to guarantee dependable data foundations, feature accessibility, and model deployment pathways. Build internal data products to improve the speed and quality of decision-making, such as AB-test calculators, decision tools, and automated insights. Provide technical leadership through building and code reviews, mentoring, and coaching, improving the standard of data science craft across the organization. Serve as a reliable collaborator throughout the organization, promoting data-informed decision-making and enabling business units to embrace data products. Translate complex analytical insights into actionable recommendations, presenting them to senior leadership to inform critical business decisions and encourage collaborators. What We Are Seeking Education: PhD or MSc in Data Science, Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, or equivalent experience in practice. Experience: 5+ years of professional data science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring. Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure). Industry knowledge: Experience in gaming or digital entertainment is a strong plus. Why Product Madness As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse.We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don't just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the 'Employer of the Year - Media and Entertainment' category. Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.