Keyrus

Data Engineer

• Develop, maintain and optimize data pipelines (ETL/ELT)
• Design and evolve modern data architectures
• Process large volumes of data with Spark/PySpark
• Ensure data quality, governance and security
• Orchestrate pipelines using Airflow
• Collaborate with data scientists, analysts and business stakeholders
• Document solutions and share best practices
• Perform troubleshooting, debugging and performance optimization

Senior Data Engineer – AWS

Data Analyst

• Analyse and organise raw financial and transactional data to meet business needs and regulatory objectives.
• Perform data validation and reconciliation between source systems, Finbourne (LUSID), and downstream platforms.
• Develop, maintain, and optimise SQL queries and scripts, primarily on Snowflake and relational databases.
• Support trade lifecycle data analysis, including transactions, instruments, portfolios, and valuations.
• Identify data quality issues, inconsistencies, or gaps and collaborate with technical teams to resolve them.
• Work closely with business SMEs, BAs, and QA teams to ensure data accuracy and completeness.
• Support operational reporting and analytics, enabling business and operational decision-making.
• Contribute to defining data quality standards, controls, and reconciliation processes.
• Support investigations related to production data issues and provide insights for root cause analysis.
• Collaborate within Agile delivery teams, contributing to sprint activities and continuous improvement.

Product Manager

• Manage and optimize a data platform in collaboration with multidisciplinary and multicultural teams
• Translate the product strategy into concrete deliverables and ensure its continuous improvement
• Manage prioritization, the backlog, and budget tracking
• Design features, associated processes, and write user stories
• Ensure coordination and communication with stakeholders
• Promote the use of and knowledge of the platform among project teams and stakeholders
• Gather and formalize business requirements and integrate them into the product strategy
• Ensure deliverables comply with the initial requirements (testing, quality)
• Define and monitor the platform KPIs

Product Owner, Data

Full-stack Engineer

• Pre-sales, consulting & auditing – You guide our clients toward the most relevant Data solutions.
• Data Architecture – You design robust ecosystems (Cloud, storage, integration), oversee data flows, and collaborate with IT and business teams.
• BI & DataViz – You turn data into high-value strategic insights.
• Optimization & Performance – You are responsible for the technical and functional quality of the solutions.
• Knowledge Transfer & Training – You share your expertise by delivering training sessions and mentoring teams.
• Trend Monitoring & Technology Evangelism – You stay up to date with trends and collaborate with our technology partners.

Tech Lead, Data

• Take part in large-scale projects by building and optimizing modern data platforms and pipelines.
• Design, develop, and productionize reliable, high-performance data pipelines.
• Integrate structured and unstructured data, both batch and real-time.
• Deploy and optimize data environments on the Cloud (AWS, Azure, GCP).
• Implement and orchestrate ETL/ELT processes (Talend, Airflow, dbt, Fivetran, etc.).
• Work with modern platforms such as Databricks, Snowflake, BigQuery, and Redshift.
• Ensure data quality, security, and governance.

Project Manager

• Gestion de projets BI/Data en mode Agile
• Encadrement et accompagnement des équipes
• Optimisation des méthodologies et outils

Chef de Projet Data

Business Development Rep

• Identify and actively pursue new sales opportunities
• Build, manage, and maintain a robust outbound sales pipeline
• Establish and nurture high-value relationships with senior client stakeholders
• Collaborate cross-functionally with internal teams
• Work closely with key technology partners

Senior Sales & Business Development – Data Services Consultant

Backend Engineer

• Develop, maintain, and optimise Java 8+ backend services using Spring Boot and Hibernate/JPA.
• Build, deploy, and maintain microservices within Kubernetes (AKS or equivalent).
• Design and implement ETL pipelines using Apache Airflow, Spring Batch, or Apache Camel.
• Work with Snowflake to create and manage pipelines, connect and deploy databases, and perform query optimisation.
• Integrate messaging solutions using Kafka or other enterprise messaging frameworks.
• Collaborate with cloud infrastructure teams to deploy and maintain services in Azure Cloud (or adapt from AWS/GCP).
• Write and maintain RESTful APIs for microservices communication.
• Participate in CI/CD pipeline setup, deployment automation, and version control (Git).
• Collaborate with cross-functional teams in Agile scrum environments.
• Troubleshoot, debug, and resolve production issues in a timely manner.

Senior Backend Developer – Java, ETL, Cloud Technologies

SDET

• Analyse and organise raw data to meet business needs and objectives.
• Develop, update, and maintain SQL scripts and test cases as applications and business rules evolve, identifying areas for improvement.
• Works in parallel with business SMEs and BA staff to create thorough, accurate and comprehensive SQL test queries and scripts
• Create appropriate standards and processes to ensure the quality and consistency of data in the platform
• Collaborate with data analytics experts and SMEs to enhance functionality and efficiency with our data ecosystem.

SDET, SQL & API Test Engineer

Production Engineer

• Provide production support for business-critical applications, ensuring availability, performance, and reliability.
• Work closely with Java development teams to support application troubleshooting, including log analysis and root cause investigation.
• Support and monitor REST APIs and distributed application components.
• Operate and support applications deployed on Azure Kubernetes (AKS).
• Manage and support cloud services on Microsoft Azure, including:
• - Azure Cosmos DB
• - Azure SQL Server
• - Azure Static Web Apps
• Support Snowflake environments for data access and operational troubleshooting.
• Perform Unix/Linux operational tasks and environment-level troubleshooting.
• Execute and support DevOps processes, including deployments, releases, and environment validation.
• Implement and use monitoring and observability practices to proactively identify incidents.
• Handle incidents, service requests, and changes using ServiceNow.
• Manage batch processing and scheduling activities using Control-M.
• Maintain technical and operational documentation in Confluence.
• Use GitHub and Azure DevOps (ADO) for source control, pipelines, and collaboration.
• Collaborate within Agile delivery teams and contribute to continuous service improvement.

Production Support Engineer – DevOps, Java, Azure

• Liderar e mentorar times de engenharia de dados, fornecendo direcionamento técnico e disseminando boas práticas.
• Projetar, desenvolver e supervisionar soluções e arquiteturas de engenharia de dados escaláveis.
• Conduzir projetos de engenharia de dados de ponta a ponta, desde o levantamento de requisitos até a implementação e otimização.
• Construir e gerenciar pipelines de ETL/ELT, garantindo fluxos de dados confiáveis e de alta qualidade.
• Atuar com múltiplas plataformas de cloud, como GCP, AWS e Microsoft Azure.
• Implementar e otimizar plataformas de dados utilizando ferramentas como Databricks e/ou Snowflake.
• Colaborar com stakeholders de negócio e técnicos em um ambiente de consultoria, entregando soluções orientadas ao cliente.
• Garantir que as soluções de dados atendam aos padrões de segurança, performance e governança, especialmente para casos de uso do setor financeiro.
• Contribuir para decisões arquiteturais, definição de roadmaps técnicos e iniciativas de melhoria contínua

Líder Técnico, Dados

AI Engineer

• Design and implement AI solution architectures using Vertex AI and Google ADK.
• Develop large-scale data and processing pipelines with Dataproc and BigQuery.
• Create and orchestrate AI workflows using LangChain for conversational and agentic applications.
• Implement semantic search and RAG solutions using Google Vector Database.
• Manage model artifacts and versioning via Artifact Registry.
• Develop prototypes and experiments in Jupyter Notebooks.
• Integrate AI solutions with Google AI Workspace for enterprise applications.
• Establish MLOps best practices and model governance.
• Collaborate with development teams through CI/CD pipelines.
• Document architectures, patterns, and technical guides for the team.

AI Architect

Financial Planning and Analysis

• You will join the Consulting practice dedicated to Finance transformation and Performance Management.
• You will deliver high-impact transformation projects such as optimizing the structure and processes of the finance function.
• Redesign reporting models and performance management frameworks.
• Define and deploy management dashboards.
• Develop and implement a strategy for evolving the finance information system.
• Design and roll out data platforms for financial and operational management.
• Support finance transformation initiatives and lead change management activities.
• Contribute to the internal life of the consulting firm (recruitment, training, team facilitation).

Finance Function Transformation Consultant

Systems Engineer

• Contribute to Finance Systems projects across all delivery phases
• Collaborate closely with project managers and business analysts
• Design and document technical specifications for financial interfaces
• Define data structures and technical flows feeding finance systems
• Implement and maintain the accounting interpreter and system evolutions
• Coordinate with IT, finance systems, and engineering teams
• Contribute to and execute technical, integration, and reporting tests
• Support the accounting and reporting test phases under your responsibility
• Provide post-go-live technical support and maintenance
• Handle change and maintenance requests on finance interfaces

Senior Systems Analyst – IT Solutions Designer, Finance Systems

Business Analyst

• Contribute to Finance implementation projects across all delivery phases
• Collaborate daily with project managers and follow defined project governance and methodology
• Define operational and accounting schemes based on business requirements
• Design financial data flows and interfaces feeding finance systems
• Produce functional specifications for IT and finance system teams
• Coordinate stakeholders to ensure on-time and quality delivery
• Manage evolutions of the chart of accounts when required
• Contribute to testing strategies and execute accounting and reporting test phases
• Provide post-implementation support to finance and reporting users
• Support maintenance and change requests on accounting interfaces