Adecco Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Job title: Senior Software Engineering (Python / C# /.NET, Data & Database Platforms) Location : London (2/3 days per week onsite) Contract: 12 months with possible extension Rate : 600 - 650 inside IR35 Role Overview We are seeking an experienced Software Engineering professional with strong expertise in Python, C#/.NET, enterprise data platforms, and database technologies. This role combines hands-on technical leadership with ownership of strategic technology initiatives supporting business-critical data and analytics capabilities. Key Responsibilities Technical Leadership Lead the design and delivery of enterprise-grade software applications and data platforms using Python and C# (.NET). Define solution architecture and engineering standards for scalable, resilient, and maintainable systems. Act as a technical authority for software engineering, database design, and data platform initiatives. Drive modernization of legacy applications and migration towards cloud-native architectures. Review technical designs and code to ensure alignment with engineering standards and best practices. Champion software quality, security, performance, and operational excellence. Data Platform & Solution Ownership Lead delivery of data integration, ETL/ELT, and analytics enablement solutions. Oversee design and implementation of data models across operational, analytical, and reporting workloads. Ensure alignment with enterprise data strategy, architecture standards, and governance frameworks. Drive optimization of database performance, scalability, and data processing capabilities. Collaborate with Data Engineering, BI, Analytics, and Architecture teams to deliver integrated solutions. Stakeholder Management Partner with business stakeholders to understand strategic objectives and translate them into technical solutions. Provide technical guidance and recommendations to senior management and project sponsors. Manage priorities across multiple initiatives while balancing delivery, risk, and technical debt. Communicate complex technical concepts clearly to both technical and non-technical audiences. People Leadership & Mentoring Mentor and develop software engineers and technical specialists. Promote a culture of continuous improvement, accountability, collaboration, and innovation. Support recruitment activities including technical assessments and interviews. Foster knowledge sharing and engineering best practices across teams. Governance, Risk & Controls Ensure solutions comply with security, data governance, regulatory, and operational risk requirements. Support audit, compliance, and resiliency initiatives. Implement appropriate monitoring, logging, and operational support frameworks. Drive adoption of CI/CD, automated testing, and DevOps practices across development teams. Required Skills & Experience Engineering & Development Extensive experience developing enterprise applications using: Python C# / .NET Core / .NET 8+ Strong experience designing distributed systems, APIs, and service-oriented architecture. Proven ability to lead technical delivery across multiple projects and teams. Experience defining engineering standards, design patterns, and development best practices. Database & Data Engineering Strong experience with SQL Server, PostgreSQL, and enterprise database platforms. Expertise in: Data modelling (OLTP, OLAP, dimensional models) Query optimization and performance tuning Database scalability and resilience Data governance and quality management Experience delivering large-scale ETL/ELT solutions and enterprise data pipelines. Experience with event-driven and messaging architectures. Data Platforms & Cloud Technologies Hands-on experience with: Azure Data Lake Databricks Snowflake Delta Lake Azure Synapse Analytics / Microsoft Fabric Spark / PySpark Strong understanding of: Data Lake and Lakehouse architecture Hybrid cloud environments Enterprise integration patterns Modern data formats including Parquet, Avro, and ORC DevOps & Platform Engineering Experience implementing CI/CD pipelines and DevOps practices. Experience with infrastructure automation and environment management. Familiarity with: Docker Kubernetes Azure DevOps Git-based development workflows Preferred Qualifications Experience leading technology initiatives within Financial Services, Capital Markets, Investment Banking, or Corporate Banking environments. Experience delivering cloud migration and platform modernization programs. Knowledge of data governance frameworks and regulatory requirements. Familiarity with real-time streaming platforms such as Kafka and Azure Event Hub. Understanding machine learning and advanced analytics platforms. Bachelor's or Master's degree in computer science, Engineering, Mathematics, or a related discipline. Industry certifications in Azure, Data Engineering, Architecture, or Software Engineering. Leadership Competencies Strategic thinking and technology leadership. Strong stakeholder engagement and influencing skills. Ability to drive delivery across multiple competing priorities. Excellent communication and presentation skills. Strong decision-making and problem-solving capabilities. Ability to create alignment across business and technology functions. A collaborative leadership style that promotes trust, inclusion, accountability, and continuous improvement. Adecco Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.
25/08/2026
Contractor
Adecco Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Job title: Senior Software Engineering (Python / C# /.NET, Data & Database Platforms) Location : London (2/3 days per week onsite) Contract: 12 months with possible extension Rate : 600 - 650 inside IR35 Role Overview We are seeking an experienced Software Engineering professional with strong expertise in Python, C#/.NET, enterprise data platforms, and database technologies. This role combines hands-on technical leadership with ownership of strategic technology initiatives supporting business-critical data and analytics capabilities. Key Responsibilities Technical Leadership Lead the design and delivery of enterprise-grade software applications and data platforms using Python and C# (.NET). Define solution architecture and engineering standards for scalable, resilient, and maintainable systems. Act as a technical authority for software engineering, database design, and data platform initiatives. Drive modernization of legacy applications and migration towards cloud-native architectures. Review technical designs and code to ensure alignment with engineering standards and best practices. Champion software quality, security, performance, and operational excellence. Data Platform & Solution Ownership Lead delivery of data integration, ETL/ELT, and analytics enablement solutions. Oversee design and implementation of data models across operational, analytical, and reporting workloads. Ensure alignment with enterprise data strategy, architecture standards, and governance frameworks. Drive optimization of database performance, scalability, and data processing capabilities. Collaborate with Data Engineering, BI, Analytics, and Architecture teams to deliver integrated solutions. Stakeholder Management Partner with business stakeholders to understand strategic objectives and translate them into technical solutions. Provide technical guidance and recommendations to senior management and project sponsors. Manage priorities across multiple initiatives while balancing delivery, risk, and technical debt. Communicate complex technical concepts clearly to both technical and non-technical audiences. People Leadership & Mentoring Mentor and develop software engineers and technical specialists. Promote a culture of continuous improvement, accountability, collaboration, and innovation. Support recruitment activities including technical assessments and interviews. Foster knowledge sharing and engineering best practices across teams. Governance, Risk & Controls Ensure solutions comply with security, data governance, regulatory, and operational risk requirements. Support audit, compliance, and resiliency initiatives. Implement appropriate monitoring, logging, and operational support frameworks. Drive adoption of CI/CD, automated testing, and DevOps practices across development teams. Required Skills & Experience Engineering & Development Extensive experience developing enterprise applications using: Python C# / .NET Core / .NET 8+ Strong experience designing distributed systems, APIs, and service-oriented architecture. Proven ability to lead technical delivery across multiple projects and teams. Experience defining engineering standards, design patterns, and development best practices. Database & Data Engineering Strong experience with SQL Server, PostgreSQL, and enterprise database platforms. Expertise in: Data modelling (OLTP, OLAP, dimensional models) Query optimization and performance tuning Database scalability and resilience Data governance and quality management Experience delivering large-scale ETL/ELT solutions and enterprise data pipelines. Experience with event-driven and messaging architectures. Data Platforms & Cloud Technologies Hands-on experience with: Azure Data Lake Databricks Snowflake Delta Lake Azure Synapse Analytics / Microsoft Fabric Spark / PySpark Strong understanding of: Data Lake and Lakehouse architecture Hybrid cloud environments Enterprise integration patterns Modern data formats including Parquet, Avro, and ORC DevOps & Platform Engineering Experience implementing CI/CD pipelines and DevOps practices. Experience with infrastructure automation and environment management. Familiarity with: Docker Kubernetes Azure DevOps Git-based development workflows Preferred Qualifications Experience leading technology initiatives within Financial Services, Capital Markets, Investment Banking, or Corporate Banking environments. Experience delivering cloud migration and platform modernization programs. Knowledge of data governance frameworks and regulatory requirements. Familiarity with real-time streaming platforms such as Kafka and Azure Event Hub. Understanding machine learning and advanced analytics platforms. Bachelor's or Master's degree in computer science, Engineering, Mathematics, or a related discipline. Industry certifications in Azure, Data Engineering, Architecture, or Software Engineering. Leadership Competencies Strategic thinking and technology leadership. Strong stakeholder engagement and influencing skills. Ability to drive delivery across multiple competing priorities. Excellent communication and presentation skills. Strong decision-making and problem-solving capabilities. Ability to create alignment across business and technology functions. A collaborative leadership style that promotes trust, inclusion, accountability, and continuous improvement. Adecco Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.
Senior Architect, ADC/QuantSkip to main content Architect, ADC/Quant page is loaded Senior Architect, ADC/QuantApplylocations: GBR-London-10 Paternoster Squaretime type: Full timeposted on: Posted Todayjob requisition id: RWe are seeking an expert Senior Architect to drive the technical vision, system design, and architectural governance for a large-scale, technically diverse engineering program. Operating across multiple complex domains, you will serve as the premier technical authority, designing mission-critical enterprise systems, overarching data ecosystems, and leading our artificial intelligence (AI) integration strategy.The successful candidate will set the architectural target state, establish design patterns for highly resilient systems, and ensure technical coherence across a highly heterogeneous technology stack. You will partner with business stakeholders and engineering management to translate strategic objectives into robust, scalable, secure, and AI-ready architectures, navigating the complexities of a highly regulated, high-expectation environment.What You'll Bring (Experience & Competencies)Extensive Architectural Experience: 8+ years of hands-on experience in software engineering, with at least 3+ years acting as a Principal or Senior Architect designing large-scale, high-throughput, and mission-critical enterprise distributed systems. Deep Technical Breadth & Depth: Advanced data architecture experience using Databricks, Microsoft Fabric, and large-scale data processing (Data Mesh/Lakehouse patterns). Strong background in data integration and relational platforms Proven experience designing highly available Hybrid and Multi-Cloud architectures (Azure & AWS). AI & Machine Learning Exposure: Experience designing architectures that support AI/ML workloads, including integrating Large Language Models (LLMs), predictive analytics, and vector search into enterprise applications. Enterprise Governance & Security: Deep understanding of security architecture, secure SDLC practices, data privacy, and compliance requirements typical of the London financial services sector. Resilience & SRE: Advanced knowledge of building fault-tolerant architectures leveraging modern SRE principles, robust observability, and cloud-native resilience patterns. Matrix Leadership: Exceptional stakeholder and client communication skills, with a track record of influencing cross-functional engineering pods, product managers, and C-level executives without requiring direct reporting lines. Key Responsibilities Architecture & Technical Strategy Define and own the end-to-end target state architecture across diverse systems, data platforms, and cloud integrations. Publish, maintain, and champion architectural blueprints, design patterns, and engineering excellence standards. Lead the Architecture Review Board (ARB) process for the domain, ensuring technical designs strictly adhere to non-functional requirements (NFRs) such as scalability, maintainability, performance, latency, and security. AI Strategy & Adoption AI Architecture Roadmap: Lead the architectural design for integrating AI and Machine Learning capabilities (including Generative AI) into existing and new enterprise products. AI Governance & Security: Establish secure guardrails, data privacy controls, and ethical compliance standards for AI consumption within a highly regulated environment. Developer Productivity: Champion the adoption of AI-driven engineering tooling (e.g., AI coding assistants, automated testing generation) to enhance developer velocity and code quality across the portfolio. Data Readiness: Architect robust, scalable data pipelines (MLOps/LLMOps) to support reliable model training, fine-tuning, and low-latency inference. Technical Leadership & Governance Act as a senior technical leader and mentor to Principal Engineers and Tech Leads across multiple engineering domains. Ensure architectural coherence across a diverse technology stack, balancing the need for enterprise standardization with the autonomy of agile delivery teams. Take ownership of technical debt management strategies and long-term platform health, preventing fragmented or sub-optimal legacy solutions. Complex Problem Solving & Hands-on Contribution Lead technical investigations into complex performance bottlenecks, major systemic incidents, and architectural pivots. Remain heavily hands-on in the R&D space; write prototype code, execute Proof-of-Concepts (PoCs), and directly validate architectural assumptions (specifically around new AI tools or cloud services) before scaling them to development teams. Stakeholder Alignment & Commercial Awareness Collaborate closely with business leadership, product owners, and Development Managers to translate strategic commercial objectives into executable technical roadmaps. Act as a trusted advisor, articulating complex technical trade-offs, risk mitigation strategies, and system capabilities in clear, business-centric language. Technology Environment You will be architecting solutions within a broadly evolving and heterogeneous technology landscape, notably encompassing:Compute & Services: Java, .NET, Python, Cloud-native microservicesData & Analytics: Databricks, Microsoft Fabric, AWS Glue, Athena, Event Streaming (e.g., Kafka)AI & ML: Azure OpenAI, LLM Integration patterns, Vector DatabasesIntegration & Storage: Azure Data Factory (ADF), SQL Server, Enterprise relational platformsInfrastructure: Azure, AWS, and Hybrid Cloud networksCandidates are not expected to be absolute experts in every single technology listed but must demonstrate the architectural abstraction skills to design systems spanning varied stacks and the ability to rapidly build context. What This Role Is (and Is Not) This is not solely an "ivory-tower" architecture role; pragmatic execution, hands-on prototyping, and deep collaboration with delivery teams are essential.This is a role for a visionary technologist who thrives under pressure, sets uncompromising engineering standards, and naturally commands the technical respect of a large engineering organization. Career Stage: Manager London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject.If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice. HOW TO APPLY?If you want to apply for a job, please click the Apply button. You will then be redirected to our Careers sign-in page where you can enter your existing credentials or set up an account with us.
03/08/2026
Full time
Senior Architect, ADC/QuantSkip to main content Architect, ADC/Quant page is loaded Senior Architect, ADC/QuantApplylocations: GBR-London-10 Paternoster Squaretime type: Full timeposted on: Posted Todayjob requisition id: RWe are seeking an expert Senior Architect to drive the technical vision, system design, and architectural governance for a large-scale, technically diverse engineering program. Operating across multiple complex domains, you will serve as the premier technical authority, designing mission-critical enterprise systems, overarching data ecosystems, and leading our artificial intelligence (AI) integration strategy.The successful candidate will set the architectural target state, establish design patterns for highly resilient systems, and ensure technical coherence across a highly heterogeneous technology stack. You will partner with business stakeholders and engineering management to translate strategic objectives into robust, scalable, secure, and AI-ready architectures, navigating the complexities of a highly regulated, high-expectation environment.What You'll Bring (Experience & Competencies)Extensive Architectural Experience: 8+ years of hands-on experience in software engineering, with at least 3+ years acting as a Principal or Senior Architect designing large-scale, high-throughput, and mission-critical enterprise distributed systems. Deep Technical Breadth & Depth: Advanced data architecture experience using Databricks, Microsoft Fabric, and large-scale data processing (Data Mesh/Lakehouse patterns). Strong background in data integration and relational platforms Proven experience designing highly available Hybrid and Multi-Cloud architectures (Azure & AWS). AI & Machine Learning Exposure: Experience designing architectures that support AI/ML workloads, including integrating Large Language Models (LLMs), predictive analytics, and vector search into enterprise applications. Enterprise Governance & Security: Deep understanding of security architecture, secure SDLC practices, data privacy, and compliance requirements typical of the London financial services sector. Resilience & SRE: Advanced knowledge of building fault-tolerant architectures leveraging modern SRE principles, robust observability, and cloud-native resilience patterns. Matrix Leadership: Exceptional stakeholder and client communication skills, with a track record of influencing cross-functional engineering pods, product managers, and C-level executives without requiring direct reporting lines. Key Responsibilities Architecture & Technical Strategy Define and own the end-to-end target state architecture across diverse systems, data platforms, and cloud integrations. Publish, maintain, and champion architectural blueprints, design patterns, and engineering excellence standards. Lead the Architecture Review Board (ARB) process for the domain, ensuring technical designs strictly adhere to non-functional requirements (NFRs) such as scalability, maintainability, performance, latency, and security. AI Strategy & Adoption AI Architecture Roadmap: Lead the architectural design for integrating AI and Machine Learning capabilities (including Generative AI) into existing and new enterprise products. AI Governance & Security: Establish secure guardrails, data privacy controls, and ethical compliance standards for AI consumption within a highly regulated environment. Developer Productivity: Champion the adoption of AI-driven engineering tooling (e.g., AI coding assistants, automated testing generation) to enhance developer velocity and code quality across the portfolio. Data Readiness: Architect robust, scalable data pipelines (MLOps/LLMOps) to support reliable model training, fine-tuning, and low-latency inference. Technical Leadership & Governance Act as a senior technical leader and mentor to Principal Engineers and Tech Leads across multiple engineering domains. Ensure architectural coherence across a diverse technology stack, balancing the need for enterprise standardization with the autonomy of agile delivery teams. Take ownership of technical debt management strategies and long-term platform health, preventing fragmented or sub-optimal legacy solutions. Complex Problem Solving & Hands-on Contribution Lead technical investigations into complex performance bottlenecks, major systemic incidents, and architectural pivots. Remain heavily hands-on in the R&D space; write prototype code, execute Proof-of-Concepts (PoCs), and directly validate architectural assumptions (specifically around new AI tools or cloud services) before scaling them to development teams. Stakeholder Alignment & Commercial Awareness Collaborate closely with business leadership, product owners, and Development Managers to translate strategic commercial objectives into executable technical roadmaps. Act as a trusted advisor, articulating complex technical trade-offs, risk mitigation strategies, and system capabilities in clear, business-centric language. Technology Environment You will be architecting solutions within a broadly evolving and heterogeneous technology landscape, notably encompassing:Compute & Services: Java, .NET, Python, Cloud-native microservicesData & Analytics: Databricks, Microsoft Fabric, AWS Glue, Athena, Event Streaming (e.g., Kafka)AI & ML: Azure OpenAI, LLM Integration patterns, Vector DatabasesIntegration & Storage: Azure Data Factory (ADF), SQL Server, Enterprise relational platformsInfrastructure: Azure, AWS, and Hybrid Cloud networksCandidates are not expected to be absolute experts in every single technology listed but must demonstrate the architectural abstraction skills to design systems spanning varied stacks and the ability to rapidly build context. What This Role Is (and Is Not) This is not solely an "ivory-tower" architecture role; pragmatic execution, hands-on prototyping, and deep collaboration with delivery teams are essential.This is a role for a visionary technologist who thrives under pressure, sets uncompromising engineering standards, and naturally commands the technical respect of a large engineering organization. Career Stage: Manager London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject.If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice. HOW TO APPLY?If you want to apply for a job, please click the Apply button. You will then be redirected to our Careers sign-in page where you can enter your existing credentials or set up an account with us.
JOB ID: FEQ427R333 Location: Remote, United Kingdom - The candidates can be based near Manchester or Leeds area Industry: Retail/CPG (UKI Enterprise) At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer-centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have: Engage with some of Databricks's largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting Databricks to achieve their business objectives. Collaborate with Databricks leadership, account teams and field engineers to define and execute customer engagement strategies. Demonstrate our Builder Culture to the highest standards, putting our principle of "show, not tell" into practice, supported by the full breadth of the latest in AI tooling and processes, to inspire customers and Bricksters on the art of the possible. Coach junior Solutions Architects and teams on use case prioritisation and building technical champions. You will influence stakeholders at all organisational levels through complex engagements with the broader cloud ecosystem and third-party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for: We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team, which focuses on engaging with our largest and most complex customers, supporting them in executing strategic business change. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London-based team. Core Technical Qualifications: Hands on experience in technical pre sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end to end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc. Hands on experience and enthusiasm for building with AI based development tooling such as Genie Code, Claude Code, Cursor etc. Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Pre Sales & Customer Facing Skills: Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership: Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics: Ability to commute to the London office regularly. Willingness and ability to travel approximately 20-30% of the time across UK&I and EMEA for customer visits. Nice to Have: Databricks or other relevant Cloud/Data certifications. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
02/08/2026
Full time
JOB ID: FEQ427R333 Location: Remote, United Kingdom - The candidates can be based near Manchester or Leeds area Industry: Retail/CPG (UKI Enterprise) At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer-centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have: Engage with some of Databricks's largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting Databricks to achieve their business objectives. Collaborate with Databricks leadership, account teams and field engineers to define and execute customer engagement strategies. Demonstrate our Builder Culture to the highest standards, putting our principle of "show, not tell" into practice, supported by the full breadth of the latest in AI tooling and processes, to inspire customers and Bricksters on the art of the possible. Coach junior Solutions Architects and teams on use case prioritisation and building technical champions. You will influence stakeholders at all organisational levels through complex engagements with the broader cloud ecosystem and third-party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for: We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team, which focuses on engaging with our largest and most complex customers, supporting them in executing strategic business change. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London-based team. Core Technical Qualifications: Hands on experience in technical pre sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end to end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc. Hands on experience and enthusiasm for building with AI based development tooling such as Genie Code, Claude Code, Cursor etc. Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Pre Sales & Customer Facing Skills: Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership: Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics: Ability to commute to the London office regularly. Willingness and ability to travel approximately 20-30% of the time across UK&I and EMEA for customer visits. Nice to Have: Databricks or other relevant Cloud/Data certifications. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
# Azure Fabric ArchitectBristol, Manchester, Newcastle Bank House, Birmingham, LondonApply for this job Permanent Experienced Professionals Architecture ID 467117-en\_GB Who You'll Be Working With As a Data Solution Architect at Capgemini, you will design and lead the delivery of modern data platforms that enable analytics, AI, GenAI, and data driven decision making at scale. You will translate business strategy into robust, governed, and AI ready architectures, taking end to end ownership from vision through to delivery and value realisationYou will be part of the Data Platforms team that is part of the Insights and Data Global Practice that has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks and Snowflake Please Note: Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process. The Focus Of Your Role As a Solution Architect with an Azure Data Factory (ADF) and Microsoft Fabric focus, you will be an integral part of our team dedicated to building scalable, secure, and well-governed data platforms. You will leverage your expertise in ADF, Fabric (Lakehouse, Warehouse, and Real-Time Analytics), and the wider Azure data ecosystem to design, develop, and implement modern data architectures and pipelines that fuel analytics, AI/ML, and data-driven operations. Design and build high-performance data integration solutions: Use Azure Data Factory (and/or Fabric Data Factory) to orchestrate ingestion, transformation, and movement of data across on-premises and cloud sources into Azure services. Design and oversee the delivery of secure lakehouse and warehouse architectures: Implement logical and physical data models, data quality controls, and governance practices using Microsoft Fabric (Lakehouse/Warehouse), Purview, and Azure security controls to ensure trusted data. Ability to design, build and deploy AI/ML-enabled solutions: Enable feature-ready, governed datasets for data science and integrate with Azure Machine Learning and Fabric experiences to operationalise models and drive business insights. Design, monitor and optimise data pipelines and platform performance: Use Fabric capacity management, pipeline monitoring, logging, and operational best practices to improve reliability, throughput, cost, and scalability. Collaborate with cross-functional teams: Work closely with business analysts, data engineers, data scientists, and platform/DevOps teams to implement secure CI/CD, environment management, and a scalable Fabric workspace and governance model. Stay ahead of the curve: Continuously learn and adapt to the evolving Microsoft data platform landscape, including ADF, Microsoft Fabric, Synapse, Purview, and related best practices. Support governance and metadata management: Implement data discovery, classification, lineage, and stewardship practices using Microsoft Purview and aligned standards for trusted, auditable data products. Own security architecture for data platforms: Design identity, access, and secrets management (e.g., Entra ID RBAC, managed identities, Key Vault) and apply network and monitoring controls appropriate for sensitive public sector workloads. Embed engineering excellence: Define CI/CD and release management for ADF/Fabric, including Git integration, branching strategies, automated testing, and repeatable environment provisioning using Infrastructure-as-Code (e.g., Bicep/Terraform). Drive FinOps and capacity planning: Shape Microsoft Fabric capacity strategy, workload isolation, usage monitoring, and cost optimisation to balance performance, resilience, and value. Lead migration and modernisation: Assess legacy estates and design pragmatic roadmaps to modern Azure/Fabric architectures, including transition planning, delivery governance, and risk management. Support delivery leadership and pre-sales: Contribute to proposals, solution shaping, estimations, and delivery plans, and provide technical leadership across multi-supplier teams. What You'll Bring You will bring deep experience delivering data platforms and data architecture within complex public sector environments, with a strong understanding of government operating models, regulatory obligations, and the need for trusted, mission critical data. You will have a proven ability to design secure, scalable, and well governed data foundations that support analytics, AI, and GenAI while meeting requirements for data protection, sovereignty, transparency, and auditability.You will be comfortable working with senior stakeholders to translate outcomes into pragmatic data and AI architectures, balancing innovation with risk management. You will bring strong leadership and collaboration skills, enabling multi supplier delivery teams to align around shared standards, reuse platforms effectively, and build sustainable data capabilities that deliver long term value for citizens and public services. Experience: Minimum 7+ years of experience as a Data Architect, including designing, developing and implementing solutions on the Microsoft data platform (Azure Data Factory and/or Microsoft Fabric). Proven expertise in data integration and analytics platforms, including Azure Data Factory, Microsoft Fabric (Lakehouse/Warehouse), and strong understanding of data warehousing, dimensional modelling, and lakehouse concepts. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage/ADLS Gen2, Microsoft Fabric (OneLake, Workspaces, Capacity), Azure Synapse and/or SQL, and Azure Data Factory. Excellent problem-solving and analytical skills and strong communication and teamwork skills. Passion for data and a thirst for learning; either already a Microsoft Fabric advocate or working towards deep capability in Fabric and ADF. Relevant Microsoft certifications (e.g., Azure Solutions Architect, Data Engineer, and/or Microsoft Fabric certifications). Hands-on experience with CI/CD and Infrastructure-as-Code for Azure data platforms (e.g., Git-based workflows for ADF/Fabric, automated deployments, and Bicep/Terraform). Additional Information Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.If you are successfully offered this position, you will go through a series of pre-employment checks, including identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service) What we'll offer you You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more. Why we're different At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that's as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too. Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.
02/08/2026
Full time
# Azure Fabric ArchitectBristol, Manchester, Newcastle Bank House, Birmingham, LondonApply for this job Permanent Experienced Professionals Architecture ID 467117-en\_GB Who You'll Be Working With As a Data Solution Architect at Capgemini, you will design and lead the delivery of modern data platforms that enable analytics, AI, GenAI, and data driven decision making at scale. You will translate business strategy into robust, governed, and AI ready architectures, taking end to end ownership from vision through to delivery and value realisationYou will be part of the Data Platforms team that is part of the Insights and Data Global Practice that has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks and Snowflake Please Note: Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process. The Focus Of Your Role As a Solution Architect with an Azure Data Factory (ADF) and Microsoft Fabric focus, you will be an integral part of our team dedicated to building scalable, secure, and well-governed data platforms. You will leverage your expertise in ADF, Fabric (Lakehouse, Warehouse, and Real-Time Analytics), and the wider Azure data ecosystem to design, develop, and implement modern data architectures and pipelines that fuel analytics, AI/ML, and data-driven operations. Design and build high-performance data integration solutions: Use Azure Data Factory (and/or Fabric Data Factory) to orchestrate ingestion, transformation, and movement of data across on-premises and cloud sources into Azure services. Design and oversee the delivery of secure lakehouse and warehouse architectures: Implement logical and physical data models, data quality controls, and governance practices using Microsoft Fabric (Lakehouse/Warehouse), Purview, and Azure security controls to ensure trusted data. Ability to design, build and deploy AI/ML-enabled solutions: Enable feature-ready, governed datasets for data science and integrate with Azure Machine Learning and Fabric experiences to operationalise models and drive business insights. Design, monitor and optimise data pipelines and platform performance: Use Fabric capacity management, pipeline monitoring, logging, and operational best practices to improve reliability, throughput, cost, and scalability. Collaborate with cross-functional teams: Work closely with business analysts, data engineers, data scientists, and platform/DevOps teams to implement secure CI/CD, environment management, and a scalable Fabric workspace and governance model. Stay ahead of the curve: Continuously learn and adapt to the evolving Microsoft data platform landscape, including ADF, Microsoft Fabric, Synapse, Purview, and related best practices. Support governance and metadata management: Implement data discovery, classification, lineage, and stewardship practices using Microsoft Purview and aligned standards for trusted, auditable data products. Own security architecture for data platforms: Design identity, access, and secrets management (e.g., Entra ID RBAC, managed identities, Key Vault) and apply network and monitoring controls appropriate for sensitive public sector workloads. Embed engineering excellence: Define CI/CD and release management for ADF/Fabric, including Git integration, branching strategies, automated testing, and repeatable environment provisioning using Infrastructure-as-Code (e.g., Bicep/Terraform). Drive FinOps and capacity planning: Shape Microsoft Fabric capacity strategy, workload isolation, usage monitoring, and cost optimisation to balance performance, resilience, and value. Lead migration and modernisation: Assess legacy estates and design pragmatic roadmaps to modern Azure/Fabric architectures, including transition planning, delivery governance, and risk management. Support delivery leadership and pre-sales: Contribute to proposals, solution shaping, estimations, and delivery plans, and provide technical leadership across multi-supplier teams. What You'll Bring You will bring deep experience delivering data platforms and data architecture within complex public sector environments, with a strong understanding of government operating models, regulatory obligations, and the need for trusted, mission critical data. You will have a proven ability to design secure, scalable, and well governed data foundations that support analytics, AI, and GenAI while meeting requirements for data protection, sovereignty, transparency, and auditability.You will be comfortable working with senior stakeholders to translate outcomes into pragmatic data and AI architectures, balancing innovation with risk management. You will bring strong leadership and collaboration skills, enabling multi supplier delivery teams to align around shared standards, reuse platforms effectively, and build sustainable data capabilities that deliver long term value for citizens and public services. Experience: Minimum 7+ years of experience as a Data Architect, including designing, developing and implementing solutions on the Microsoft data platform (Azure Data Factory and/or Microsoft Fabric). Proven expertise in data integration and analytics platforms, including Azure Data Factory, Microsoft Fabric (Lakehouse/Warehouse), and strong understanding of data warehousing, dimensional modelling, and lakehouse concepts. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage/ADLS Gen2, Microsoft Fabric (OneLake, Workspaces, Capacity), Azure Synapse and/or SQL, and Azure Data Factory. Excellent problem-solving and analytical skills and strong communication and teamwork skills. Passion for data and a thirst for learning; either already a Microsoft Fabric advocate or working towards deep capability in Fabric and ADF. Relevant Microsoft certifications (e.g., Azure Solutions Architect, Data Engineer, and/or Microsoft Fabric certifications). Hands-on experience with CI/CD and Infrastructure-as-Code for Azure data platforms (e.g., Git-based workflows for ADF/Fabric, automated deployments, and Bicep/Terraform). Additional Information Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.If you are successfully offered this position, you will go through a series of pre-employment checks, including identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service) What we'll offer you You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more. Why we're different At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that's as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too. Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.
London, GB, Technology, Full-Time About Marex Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world's major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 3000 employees across Europe, Asia and the Americas. For more information visit Job Reference: VN2511 Overview of Marex / Department description Marex has unique access across markets with significant share globally both on and off exchange. The depth of knowledge amongst its teams and divisions provides its customers with clear advantage, and its technology-led service provides access to all major exchanges, order-flow management via screen, voice and DMA, plus award-winning data, insights and analytics. The Technology Department delivers secure, scalable digital tools, software services, and infrastructure across all business units. Agile development teams align with specific business areas, while other teams handle enterprise-wide IT operations, support, security, and architecture. The Enterprise Technology stream is responsible for building the platforms, services, and integration capabilities that underpin Marex's digital future. We create the shared technology foundations that enable product and engineering teams to move faster, operate at scale, and deliver exceptional client outcomes. As a centre of engineering excellence, we foster innovation, establish common technology standards, and develop reusable capabilities that accelerate delivery across Marex. Role Summary We are seeking a Senior Enterprise Data Engineer to lead the development of enterprise-scale data integration and data product capabilities across the organisation. This role will help advance the firm's data strategy by delivering trusted, reusable data assets and modern integration services that enable business agility, operational efficiency, and data-driven decision making. The role is responsible for designing and implementing resilient ingestion, orchestration, and provisioning solutions using service-based and event-driven architectures. Working closely with data, platform, application, operations, and business teams, the successful candidate will establish engineering patterns and integration capabilities that support critical business systems, regulatory reporting, analytics, machine learning, and AI-driven solutions. This is a hands-on engineering role requiring strong technical leadership, a passion for automation and operational excellence, and the ability to deliver scalable solutions that meet the needs of a fast-growing global financial services organisation. Responsibilities Role specific: Design, build, and maintain strategic enterprise data products that provide trusted, governed, and low-friction access to data across the organisation. Design and implement resilient data ingestion, orchestration, and provisioning solutions to support operational, regulatory, analytical, machine learning, and AI-driven use cases. Deliver service-based and event-driven integration capabilities using APIs, API Gateways, event streaming, webhooks, and other enterprise integration patterns. Develop scalable source-provider onboarding solutions, ensuring data is traceable, validated, and aligned with agreed publication contracts and data standards. Build and maintain high-performance data pipelines capable of processing large-scale, distributed workloads while meeting operational and regulatory requirements. Implement data quality controls, monitoring, observability, and operational metrics to improve the reliability and resilience of enterprise data products. Define and implement automated testing practices for data and integration solutions, including unit, integration, and end-to-end testing. Apply software engineering and SDLC best practices, including source control, code review, CI/CD, release management, and infrastructure-as-code principles. Establish and promote engineering standards, reusable integration patterns, and reference implementations to improve consistency, scalability, and delivery velocity. Partner with data, architecture, governance, platform, operations, application, and business teams to deliver strategic data capabilities, provide technical leadership, and ensure alignment with enterprise standards and objectives. All staff: Ensure compliance with the company's regulatory requirements under the FCA. Adhere to the operational risk framework for your role ensuring that all regulatory or company determined parameters are complied with. Role model for demonstrating highest level standards of integrity and conduct and reflecting Company Values. At all times comply with the FCA's Code of Conduct. Ensure that you are fully aware of and adhere to internal policies that relate to you, your role or any other activities for which you have any level of responsibility. Report any breaches of policy to Compliance and/ or your supervisor as required. Escalate risk events immediately. Provide input to risk management processes, as required. Competencies, Skills and Experience Skills and Experience Essential: Experience working within regulated environments and a strong understanding of associated governance, risk, compliance, and audit requirements. Extensive experience designing and implementing resilient data ingestion, orchestration, and provisioning capabilities for enterprise-scale workloads. Strong hands on experience with Databricks (AWS and/or Azure), including Lakehouse architecture, distributed processing, and production operations. Strong hands on experience with Apache Kafka and event-driven integration architectures. Proven expertise designing and implementing enterprise-scale API led, event-driven, and service-based integration solutions across data platforms, applications, and operational systems. Experience implementing CI/CD pipelines, automated testing, and modern software engineering practices. Strong proficiency in Python and SQL for enterprise data engineering and integration workloads. Deep understanding of how integration architectures and engineering practices influence data quality, observability, lineage, traceability, and auditability. Experience delivering production grade data solutions that balance scalability, reliability, security, and operational supportability. Ability to operate effectively as both a hands on engineer and a strategic technical leader, translating business requirements into scalable engineering solutions. Desirable: Experience in financial services, with exposure to ETD and OTC derivative markets highly desirable. Hands on experience with: Azure Data Factory, Databricks Asset Bundles, Power BI, Dbt, NodeJS, Amazon API Gateway Experience working with Kafka or similar Experience with Azure DevOps (ADO), Bitbucket, and Git based workflows. Advanced use of VS Code and developer productivity tooling (e.g. Claude Code, Codex). Databricks Certified Data Engineer Professional. DAMA Certified Data Management Professional (CDMP). Competencies: Excellent verbal and written communication skills. A collaborative team player, approachable, self efficient and influences a positive work environment. Demonstrates curiosity. Resilient in a challenging, fast paced environment. Ability to take a high level of responsibility in a fast pace and high volume environment. Excels at building relationships, networking and influencing others. Strategic collaborator with insight and agility, able to anticipate future challenges, ensuring operational effectiveness. Conduct Rules, You must: Act with integrity Act with due skill, care and diligence Be open and cooperative with the FCA, the PRA and other regulators Pay due regard to the interests of customers and treat them fairly Observe proper standard of market conduct Act to deliver good outcomes for retail customers Company Values Be collaborative - by working together across the organisation, we foster teamwork, can better respond to challenges and successfully deliver for our clients Act with integrity - we pride ourselves on our honesty and high ethical standards. We apply these values when working with all our clients, colleagues and other stakeholders Be adaptable and entrepreneurial - we embrace change as markets evolve to constantly increase our efficiency and create innovative solutions for our clients. We are interested in the world around us and inquisitive about understanding the challenges and opportunities our clients face. Be respectful - how we treat each other, and our clients says everything about who we are. We always act respectfully and treat people fairly in everything we do. Nurture talent . click apply for full job details
01/08/2026
Full time
London, GB, Technology, Full-Time About Marex Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world's major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 3000 employees across Europe, Asia and the Americas. For more information visit Job Reference: VN2511 Overview of Marex / Department description Marex has unique access across markets with significant share globally both on and off exchange. The depth of knowledge amongst its teams and divisions provides its customers with clear advantage, and its technology-led service provides access to all major exchanges, order-flow management via screen, voice and DMA, plus award-winning data, insights and analytics. The Technology Department delivers secure, scalable digital tools, software services, and infrastructure across all business units. Agile development teams align with specific business areas, while other teams handle enterprise-wide IT operations, support, security, and architecture. The Enterprise Technology stream is responsible for building the platforms, services, and integration capabilities that underpin Marex's digital future. We create the shared technology foundations that enable product and engineering teams to move faster, operate at scale, and deliver exceptional client outcomes. As a centre of engineering excellence, we foster innovation, establish common technology standards, and develop reusable capabilities that accelerate delivery across Marex. Role Summary We are seeking a Senior Enterprise Data Engineer to lead the development of enterprise-scale data integration and data product capabilities across the organisation. This role will help advance the firm's data strategy by delivering trusted, reusable data assets and modern integration services that enable business agility, operational efficiency, and data-driven decision making. The role is responsible for designing and implementing resilient ingestion, orchestration, and provisioning solutions using service-based and event-driven architectures. Working closely with data, platform, application, operations, and business teams, the successful candidate will establish engineering patterns and integration capabilities that support critical business systems, regulatory reporting, analytics, machine learning, and AI-driven solutions. This is a hands-on engineering role requiring strong technical leadership, a passion for automation and operational excellence, and the ability to deliver scalable solutions that meet the needs of a fast-growing global financial services organisation. Responsibilities Role specific: Design, build, and maintain strategic enterprise data products that provide trusted, governed, and low-friction access to data across the organisation. Design and implement resilient data ingestion, orchestration, and provisioning solutions to support operational, regulatory, analytical, machine learning, and AI-driven use cases. Deliver service-based and event-driven integration capabilities using APIs, API Gateways, event streaming, webhooks, and other enterprise integration patterns. Develop scalable source-provider onboarding solutions, ensuring data is traceable, validated, and aligned with agreed publication contracts and data standards. Build and maintain high-performance data pipelines capable of processing large-scale, distributed workloads while meeting operational and regulatory requirements. Implement data quality controls, monitoring, observability, and operational metrics to improve the reliability and resilience of enterprise data products. Define and implement automated testing practices for data and integration solutions, including unit, integration, and end-to-end testing. Apply software engineering and SDLC best practices, including source control, code review, CI/CD, release management, and infrastructure-as-code principles. Establish and promote engineering standards, reusable integration patterns, and reference implementations to improve consistency, scalability, and delivery velocity. Partner with data, architecture, governance, platform, operations, application, and business teams to deliver strategic data capabilities, provide technical leadership, and ensure alignment with enterprise standards and objectives. All staff: Ensure compliance with the company's regulatory requirements under the FCA. Adhere to the operational risk framework for your role ensuring that all regulatory or company determined parameters are complied with. Role model for demonstrating highest level standards of integrity and conduct and reflecting Company Values. At all times comply with the FCA's Code of Conduct. Ensure that you are fully aware of and adhere to internal policies that relate to you, your role or any other activities for which you have any level of responsibility. Report any breaches of policy to Compliance and/ or your supervisor as required. Escalate risk events immediately. Provide input to risk management processes, as required. Competencies, Skills and Experience Skills and Experience Essential: Experience working within regulated environments and a strong understanding of associated governance, risk, compliance, and audit requirements. Extensive experience designing and implementing resilient data ingestion, orchestration, and provisioning capabilities for enterprise-scale workloads. Strong hands on experience with Databricks (AWS and/or Azure), including Lakehouse architecture, distributed processing, and production operations. Strong hands on experience with Apache Kafka and event-driven integration architectures. Proven expertise designing and implementing enterprise-scale API led, event-driven, and service-based integration solutions across data platforms, applications, and operational systems. Experience implementing CI/CD pipelines, automated testing, and modern software engineering practices. Strong proficiency in Python and SQL for enterprise data engineering and integration workloads. Deep understanding of how integration architectures and engineering practices influence data quality, observability, lineage, traceability, and auditability. Experience delivering production grade data solutions that balance scalability, reliability, security, and operational supportability. Ability to operate effectively as both a hands on engineer and a strategic technical leader, translating business requirements into scalable engineering solutions. Desirable: Experience in financial services, with exposure to ETD and OTC derivative markets highly desirable. Hands on experience with: Azure Data Factory, Databricks Asset Bundles, Power BI, Dbt, NodeJS, Amazon API Gateway Experience working with Kafka or similar Experience with Azure DevOps (ADO), Bitbucket, and Git based workflows. Advanced use of VS Code and developer productivity tooling (e.g. Claude Code, Codex). Databricks Certified Data Engineer Professional. DAMA Certified Data Management Professional (CDMP). Competencies: Excellent verbal and written communication skills. A collaborative team player, approachable, self efficient and influences a positive work environment. Demonstrates curiosity. Resilient in a challenging, fast paced environment. Ability to take a high level of responsibility in a fast pace and high volume environment. Excels at building relationships, networking and influencing others. Strategic collaborator with insight and agility, able to anticipate future challenges, ensuring operational effectiveness. Conduct Rules, You must: Act with integrity Act with due skill, care and diligence Be open and cooperative with the FCA, the PRA and other regulators Pay due regard to the interests of customers and treat them fairly Observe proper standard of market conduct Act to deliver good outcomes for retail customers Company Values Be collaborative - by working together across the organisation, we foster teamwork, can better respond to challenges and successfully deliver for our clients Act with integrity - we pride ourselves on our honesty and high ethical standards. We apply these values when working with all our clients, colleagues and other stakeholders Be adaptable and entrepreneurial - we embrace change as markets evolve to constantly increase our efficiency and create innovative solutions for our clients. We are interested in the world around us and inquisitive about understanding the challenges and opportunities our clients face. Be respectful - how we treat each other, and our clients says everything about who we are. We always act respectfully and treat people fairly in everything we do. Nurture talent . click apply for full job details
