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Lead Developer with OpenText This position will contribute to the planning, development, and administration of an enterprise content management system, the underlining infrastructure, and their integration with other enterprise systems and applications. The Lead Developer will also provide technical leadership to the engineering team, various levels of management, vendors, operations staff, peers, business users and application developers as needed. The successful candidate will assist in the design, implementation, and support of solutions for managing editorial content using an OpenText, Content Hub for Publishers and iHub solutions. Skills required include Groovy / Java script, XML / XSLT, CSS / HTML, SQL. This is a high profile project: candidate must be able to demonstrate an ability to articulate technical solutions for business requirements, have experience supporting content management solutions (OpenText), and embrace a collaborative approach for the implementation of solutions. Experience in content creation, publishing and content management is required and any experience in the commodities markets, price assessment, analysis and news sectors will be beneficial. Experience: Must have: · Digital publishing background and 3-5 years' experience with content management systems and processes. · 6-8 years' experience in a team development role · Hands-on experience working in an agile environment managing the identification and delivery of projects and software solutions using Scrum. · Functional and non-functional requirements. · Understanding user stories and acceptance criteria. · Releases cycles · Working with and with third party product and services vendors. · Working and coordinating across teams of local and remote business users in a high pressured, time sensitive environment. · Working with local and remote technical teams with a combination of in-house and partner resources. · Must be able to travel to US and UK. Nice to have: · Risk, issue, dependency and assumption identification and management. · Analysis of business information patterns, data analysis and data modeling. · Working with user experience designers to deliver end-user focused benefits realization. · Financial services background with experience in commodities markets. Skills · Open Text Content Hub for Publishers configuration and integrations · iHub · Groovy / Java script · XML / XSLT · CSS / HTML · SQL · Self-starter able to work to achieve objectives with minimum direction. · Comfortable working independently as well as in a team. · Experience with agile workflow tools (e.g. VersionOne). · Knowledge of the project lifecycle. · Knowledge of the software delivery lifecycle. · Relationship management with third party software suppliers. This is a 6 month contract based in the Canary Wharf area Docklands London. Please send your CV to us in Word format.

Description and Location ATTENTION: profil possible uniquement en Zone à Régime Restrictif (ZRR) La solution de mon client visant à garantir la cohérence et la fiabilité des données dans les outils opérationnels et de reporting. Dans ce cadre, mon client développe et fait évoluer des applications de data visualisation sous Qlik Sense, permettant aux métiers d'accéder à des indicateurs fiables pour faciliter la prise de décision. Responsabilités : Interface client pour le cadrage des besoins dans un rôle de PPO/BA Responsable du backlog produit et de la décomposition des besoins en tâches techniques (estimations, critères d'acceptation) Support et déblocage en cas de points techniques de l'équipe Réalisation des tests et validation des User Stories / defects Gestion des accès et des environnements Qlik Sense Contribution à l'amélioration continue de la solution (qualité des données, performance, UX) Profil recherché : Compétences techniques : Business Analysis et expertise Qlik Sense (idéalement avec notions en data modelling et mashup) Méthodologie : Maîtrise des environnements Agile (Scrum) Langues : Anglais professionnel ( bonne compréhension de l'anglais mais environnement principalement francophone) Communication : Excellente capacité rédactionnelle (comptes-rendus, spécifications, procédures) et bon relationnel pour interaction avec équipes métier et techniques Certification Agile : Recommandée (à obtenir si non existante) Présence sur site 2 jours par semaine

Enterprise Data Architect As the enterprise data architect, you will own the programme pipeline for developing our data architecture strategy, including translation of our goals and objectives into enriched data dashboards. You will define and direct SXSW London's target data architecture (inc. shared data environments, data model and standards) in support of our business strategy, ensuring that data is accurate, secure and accessible to meet the needs of senior executives and department heads. Responsibilities Accountable for the data architecture & design, including implementation of company-wide data models, incorporating relevant governance frameworks, and architectural standards. Develop architectural solutions resulting in a single source of truth data lake warehouse, utilising Power Bi with built-in AI design considerations. Lead the design and development of scalable data pipelines and solutions, which support our event operations across our customer journey and channels. Collaborate with stakeholders and external technology partners to promote consistent and value driven data usage. Communicate the value of data management, through workshops and proof of concepts in partnership with business and technology partners Develop data architecture governance and standards, regarding data models and capabilities, including ability to logically model marketing and financial data. Connect disparate sources to provide seamless data access. Define KPI and Metrics for data dashboard. Map existing data sources and identity data access points. Create dedicated stakeholder UAT group for continuous output assessment. Build an executive dashboard. Configure integration and workflows. Create automation and refresh schedules. Setup training and confidence workshops. Integrating ML and AI into dashboard reporting Required Deep knowledge of modern data architecture. Experience within Cloud platforms (Azure, AWS, Databricks). Strong understanding of ETL/ELT, API's and integration patterns. Strong communication and stakeholder engagement. 5years+ in data architecture or related fields. Deep understanding of Information Security, alongside privacy and compliance regulations. Proven experience in enterprise-scale data modelling. Expertise in metadata management. Excellent analytical, planning, organisational and technical skills along with excellent written and verbal communication skills. Experience in translating complex technological requirements to an audience with minimal technical insight. This is a hybrid position based in the City of London. The position is a 6 month FTC role. The salary for this role will be circa £40K - £45K. Do send your CV to us in Word format along with your salary and availability.

Role Overview The Data Engineer is responsible for designing, building, and operating scalable, reliable, and secure data pipelines and data platforms that power digital products, analytics use cases, reporting, and data-driven services. Acting as a key contributor within cross-functional delivery teams, the role collaborates closely with Product, Backend, Frontend, Architecture, Data Analytics, and platform teams to deliver trusted data assets across ingestion, transformation, storage, and access layers. At Supervising Associate level, the role leads complex data engineering delivery, sets technical direction and strengthens team capability across initiatives. Key Responsibilities Lead technical delivery across complex data workstreams: Make design decisions and resolve cross-platform dependencies, governance risks, and escalations. Mentor engineers, enforce engineering and data standards, and drive improvements in architecture, quality, lineage, security, observability, cost, and technical debt management. Data Pipeline & Platform Delivery Design, implement, and maintain batch and streaming data pipelines using Python and modern data engineering frameworks. Build reliable ingestion and transformation processes from internal and external data sources, including APIs, databases, files, and events. Develop reusable data processing components and frameworks following software engineering best practices. Data Quality, Reliability & Observability Implement data validation, quality checks, and monitoring to ensure accuracy, completeness, timeliness, and trustworthiness of data. Write clean, testable code with unit and integration tests for data pipelines and processing components. Instrument pipelines with logging, metrics, alerts, and operational monitoring. Performance, Scalability & Architecture Optimize data processing performance, storage layouts, query efficiency, and platform resource usage. Design pipelines for scalability and resilience using retries, idempotency, checkpointing, and backpressure patterns. Apply partitioning, caching, and parallelization strategies where appropriate. Security, Governance & Continuous Improvement Implement secure data handling practices, including access controls, encryption, secrets management, and compliant data processing. Ensure alignment with enterprise, regulatory, privacy, data classification, retention, and lineage requirements. Support audits and data governance processes where required. What success in this role will look like Demonstrates successful leadership of complex data delivery, stronger engineering capability and consistent adoption of platform, quality and governance standards. Reliable delivery and operation of scalable data pipelines and data platform components. Trusted data assets with strong accuracy, completeness, timeliness, and observability controls. Clean, testable, documented, and maintainable Python and SQL-based data engineering solutions. Effective support for incidents, troubleshooting, root-cause analysis, and durable remediation. Provide mentorship and guidance to less experienced team members. Qualifications & Experience Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, Information Technology, or a related field. Professional experience building data pipelines and data platforms using Python. Strong experience with SQL and data modeling concepts, including dimensional, normalized, analytical, or lakehouse patterns. Hands-on experience with relational and analytical data stores, such as PostgreSQL, SQL Server, data warehouses, or data lakes. Experience with CI/CD, automated testing, and code reviews for data workloads. Expertise on cloud platforms, with Azure/Fabric, and relevant data services. Work effectively as part of a team, contributing to collective success while remaining open to feedback and coaching from more experienced colleagues. Strong understanding of data security, access control, observability, and production support practices. 7+ Years of Experience are required.

ContexteDans le cadre de la transition vers une architecture Data Mesh, nous recherchons un(e) Data Product Engineerspécialisé(e) dans le développement de pipelines sur la plateforme Talend Real Time BigData et de data products sur la plateforme Starburst (Trino). La mission consiste à concevoir, collecter, intégrer, construire et opérer des jeux de données fiables, auto-descriptifs et interopérables, en collaboration avec les domain teams et les data owners. MissionsConcevoir des flux de données et des Data Products Développer des pipelines d'intégration de données optimisés via la Talend Data Fabric / Talend Real Time BigData Développer des requêtes SQL optimisées pour Starburst/Trino (push-down predicates, partitionnement, formats de fichiers comme Iceberg/Parquet) Automatiser les pipelines de données (ETL/ELT) avec des outils comme Airflow, dbt, ou Starburst Galaxy Configurer des accès sécurisés (RBAC, row-level security) et des politiques de gouvernance (tagging, lineage) Collaborer avec les domain teams pour identifier les sources de données et les cas d'usage Documenter les data products (métadonnées, ownership, qualité) via des outils comme Amundsen, DataHub, ou Starburst Discover Participer à la définition des standards d'interopérabilité (formats communs, APIs de données) Monitorer la performance (latence, coût des requêtes) et la qualité des données (frais, complétude) Mettre en place des alertes et des dashboards (Grafana, Metabase) pour le suivi des data products Contribuer à l'amélioration continue de la plateforme Starburst (scaling, caching, federation) Compétences techniques requisesTalend RealTime BigData : expérience avancée en développement de pipelines sur Talend Studio en mode batch ou route (runtime) Starburst/Trino : expérience avancée en SQL sur Starburst/Trino (jointures, CTEs, fonctions analytiques) Data Modeling Pipelines : expérience avec Airflow/Astronomer, Spark, Talend Real Time Big Data / Talend Data intégration Stockage : connaissance des formats Iceberg, Parquet, S3 Gouvernance : familiarité avec les outils de sécurité (Ranger, RBAC) DevOps/DataOps : pratiques CI/CD pour les pipelines, infrastructure-as-code (Terraform, Kubernetes) Langages : SQL avancé (mandatory), Python (Pandas, PySpark), bash Compétences transverses (Data Mesh)Compréhension des principes Data Mesh (domain-oriented ownership, self-serve platform, federated governance) Capacité à travailler en mode produit (roadmap, priorisation, collaboration avec les métiers) Sensibilité à la data quality (tests, monitoring, remédiation) et à la documentation (data contracts, métadonnées) Soft SkillsEsprit collaboratif : travail avec les équipes métiers, data scientists, et DevOps Pédagogie : capacité à expliquer des concepts techniques à des non-experts Autonomie : prise d'initiative dans un cadre agile Environnement techniqueExpertise écosystème zoo Hadoop Connaissance / maîtrise Data Connaissance / maîtrise technique de l'environnement DevOps Maîtrise technique de l'environnement Data Expertise couche d'accès et d'échange (Kafka, Nifi, …) Expertise Java, Scala, Python, Hive, Spark Expertise ETL, Bash Expertise SQL / NoSQL

Senior MI Business Analyst/Project Manager Our Client is a bank based in the City and are looking to recruit a Senior MI Business Analyst with Project Management skills. You will have at least 6 to 10 years proven hands-on expertise. Focus of the role: · Help the organisation (Senior Management and SMEs) to review business and financial performance of the organisation based on data and facts, advance understanding of the business success factors, business results and risks. · Develop technical and business solutions for MI, enable effective data management and sourcing of the data for MI, reporting and project activities. · Interact with vendors, Project teams and Development team in London and other sites to align delivery of the MI and sourcing of the data across business functions and entities. Responsibilities: · Develop MI and Reports predominantly for the business functions and SMEs, based on their requirements and expressed needs. Interact with other information workers (in business and finance teams) to ensure the data produced by those are sync'ed and “tells same story”. · Ensure the overall strategy of the data management within the Bank, guard and rationalise development or new data sources for MI purposes, align business and technical understanding of the available data with the requirements. · Facilitate and lead enhancements of the available data sources that would assist the organisational performance and guide the organisation in effort to optimise and automate business processes to collect and use data for reporting and MI purposes. · Working with team members and Subject Matter Experts or SMEs on identifying, designing, building, and performing analytics to provide risks and controls insights to business partners & Internal Audit · Document business MI Solutions to ensure this knowledge is retained within the organisation, interact with operational and technology management regarding access, processing, reporting, and integrity of source systems and data repositories, to educate them on data available to in organisation, how the data could be used. · Influence the technical team and the business to ensure the technical environment address current and aligned with future business needs and organisational skills. Key Skills: · Technical o Advance SQL querying skills, ability to write complex SSRS formulas o In-depth knowledge of MS SQL Server and experience to deliver MI and reporting solutions using the entire spectrum of the MI solutions (SSIS, SSRS, Power BI) ideally on early versions (2013/2016) and assist the organisation to migrate to later versions. o Exposure and high-level understanding of the SSAS and MDX language (although the organisation currently does not use OLAP). o Good exposure to PowerBI and advance knowledge of DAX (query language) and data modelling using this tool. o Good working knowledge of Excel capability, use of the reporting purposes, and formulas; desired VBA skills to optimise the data presentation. o Ideally, working knowledge of Hyperion/Essbase. o Working knowledge of SharePoint and its use to manage the MI, automate MI and reporting workflow, information and report distribution. o Good working practice designing data collections by using Kimball methodology. · Non-technical: o Practical understanding of the Data Visualisation techniques and principles. o High-level understanding of the data management and its impact on organisation's bottom line. o Stakeholder management and interpersonal skills to understand the business requirements, link them to a business narrative and softly guide SME by delivering the requested MI. o Some understanding of the architectural principles, Agile methodology to engage users and deliver business solutions. o Ability to communicate complex technical concepts and narrative to business audience and non-technical teams. This is a Full Time Contract – duration is 12 months. Salary will be dependent upon experience and expertise – but will be in the range £60K - £75K. Please send your CV to us in Word format along with your salary and availability.

La division mobilité d'un grand groupe industriel international mène une série de projets et d'initiatives ambitieux. En tant que Data Product Manager, vous piloterez l'évaluation, l'étude et le soutien à la mise en œuvre d'initiatives Data & BI (de petite à grande envergure) au sein du département « Data-as-a-Service ». Ce poste s'inscrit dans une organisation combinant, d'une part, une équipe d'experts, d'architectes et de responsables techniques (Tech Leads) spécialisés en Data & Analytics et, d'autre part, un « Data Office » actif en lien avec les utilisateurs clés des métiers. L'objectif est de conceptualiser, concevoir puis bâtir un portefeuille de produits et de plateformes de données répondant aux besoins métiers de la division, dans le respect des directives de conception et d'architecture du groupe et du pôle Data & Analytics. Cette mission se concentre sur les jeux de données financières et les indicateurs clés de performance (KPI) pour soutenir les activités de la division en Europe et à l'international. Objectifs et livrables • Organiser l'étude et recueillir les éléments auprès de toutes les parties prenantes • Comprendre les ambitions, les enjeux et les objectifs métiers • Organiser et animer des ateliers avec les métiers • Collecter toutes les informations métiers nécessaires à l'étude • Documenter l'architecture fonctionnelle • Réaliser la modélisation des données / concevoir les couches métiers (couche « Silver ») • Coordonner les contributeurs « Data-as-a-Service » (architecte technique, ingénieurs Data & BI) • Documenter la valeur de la solution • Préparer le budget et le planning des phases de construction (build) et d'exploitation (run) • Formaliser les propositions finales de lancement de projet (« Go to project ») Environnement technique Microsoft Power BI, SQL, ERP (SAP), data driven modeling, data architecture.

3 Level Treasury Systems Support with FIS Integrity Treasury Application Our Client is looking to recruit a Level 3 Treasury Systems Specialist will be responsible for the configuration, integrity, and controlled evolution of the Treasury Management System and its integrations, ensuring that all system changes are delivered safely, efficiently, and aligned to Treasury requirements. Technical Platform Management & Treasury System Integrity. Ensures integrity, resilience, and controlled operation of the Treasury platform, safeguarding payment execution, liquidity visibility, risk processing, and accounting accuracy.  Configure and maintain FIS Integrity TMS workflows, parameters, and reference data  Manage integration architecture across banks, trading platforms, ERP, and market data providers  Ensure system configuration aligns with Treasury processes, control standards, and SaaS constraints  Maintain technical documentation and configuration baseline to support audit and traceability Complex Issue Resolution & Treasury Risk Containment Contains and resolves high impact issues that threaten Treasury operational integrity, financial risk exposure, or regulatory compliance.  Diagnose and resolve high‑severity system and integration issues  Perform cross‑system root‑cause analysis covering data, configuration, and integration layers  Implement corrective and preventative actions to reduce recurrence of Treasury‑impacting incidents  Analyse incident trends to strengthen platform resilience and reduce operational risk Release & Regression Governance with Treasury Assurance Protects Treasury outcomes during change by ensuring releases are safe, controlled, and aligned to business risk.  Define regression testing scope based on Treasury risk and process criticality  Validate system changes prior to release against technical and control criteria  Approve production deployments and technical release readiness Ensure release execution meets governance, audit, and SaaS requirements Controls, Configuration & Audit Governance Ensures Treasury systems remain audit ready, controlled, and compliant with segregation of duties and access policies.  Maintain configuration standards and SoD controls  Monitor system access and privileged configuration changes  Support internal and external audits with traceable configuration and change evidence  Ensure ongoing compliance with Company control and governance framework Enhancements & Project Delivery Supporting Treasury Outcomes Delivers platform enhancements that improve Treasury efficiency, accuracy, and control without introducing operational risk.  Deliver system enhancements and configuration improvements  Support Treasury projects and platform upgrades  Translate approved functional requirements into robust system design aligned to SaaS constraints The role operates as the second line of defence for Treasury technology risk, safeguarding platform integrity and ensuring that system design, change, and configuration do not introduce financial, regulatory, or operational exposure to Treasury. :  System configuration supports business processes accurately  Changes are delivered safely without introducing risk  Integrations operate reliably across all connected systems  System behaviour is consistent and auditable  Release cycles are governed and aligned to Treasury operations The role acts as the technical control layer of the platform, ensuring that all system changes meet both operational and regulatory requirements. Must have the following:  1-2 years' experience 2nd/3rd Line Support capacity in FIS Integrity  Strong configuration and data model knowledge  Strong Treasury business operation understanding  Advanced SQL capability  Integration experience (APIs, SWIFT, SFTP, ERP)  Experience with SaaS release models Desirable  Experience with ATS or equivalent frameworks  Custom reporting and data modelling experience  Exposure to global Treasury implementations Qualifications  Degree in IT, Engineering, or Finance  Vendor certifications preferred This is a hybrid position with 3 days a week in the office in Central London. The salary will be in the range £80K - £100K. Do send your CV to us in Word format along with your salary and notice period.