data engineer

ai engineer

data scientist

senior data scientist

senior data engineer

data platform architect

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader">Who You'll Be Working With</h2> 
</div><div>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 realisation. 
 
You 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 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.
</div></div><div><div><h2 class="jobSectionHeader">The Focus Of Your Role</h2> 
</div><div>As a Solution Architect with a Databricks focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will combine deep Databricks and Apache Spark expertise with strong client engagement skills to shape solutions from early-stage opportunity through delivery. You will lead our Databricks partnership activity, helping develop joint propositions, enablement, and go-to-market plans, and you will support pre-sales by contributing to discovery, solution design, estimates, and compelling client-facing materials. 
<ul><li>Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data across cloud and on-premises sources and targets.</li>
<li>Design and oversee the delivery of secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data.</li>
<li>Ability to design, build and deploy AI/ML models: Integrate Machine Learning into data pipelines and leverage Databricks capabilities to develop predictive models and drive business insights.</li>
<li>Design, Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability.</li>
<li>Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations.</li>
<li>Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices.</li>
<li>Lead the Databricks partnership: Own the day-to-day relationship, coordinate joint account planning, support enablement and certifications, and contribute to joint propositions and go-to-market activity.</li>
<li>Support pre-sales activity: Lead/assist discovery workshops, define solution options and reference architectures, contribute to estimates and delivery approaches, and help produce high-quality proposals and presentations.</li>
<li>Be a Databricks champion or on the pathway to become one</li> 
</ul></div></div><div><div><h2 class="jobSectionHeader">What You'll Bring</h2> 
</div><div>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:
<ul><li>Minimum 7+ years of experience as a Data Architect with experience in designing, developing and implementing Databricks solutions</li>
<li>Proven expertise in Databricks, Apache Spark, and data platforms with a strong understanding of data warehousing concepts and practices.</li>
<li>Experience designing and delivering data platforms on at least one major cloud provider (AWS, Azure and/or GCP preferred).</li>
<li>Experience working in pre-sales roles, including shaping opportunities, producing estimates, and contributing to proposals and client presentations.</li>
<li>Experience leading or contributing to vendor alliances/partnerships (ideally Databricks), including joint proposition development and go-to-market activity.</li>
<li>Excellent problem-solving and analytical skills and strong communication and teamwork skills.</li>
<li>Passion for data and a thirst for learning and is either already a Databricks champion or working towards it</li>
<li>Relevant architecture certifications from Databricks and/or cloud providers.</li> 
</ul></div></div><div><div><h2 class="jobSectionHeader">Additional Information</h2> 
</div><div>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&rsquo;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&rsquo;s &lsquo;learning for life&rsquo; 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&rsquo;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&rsquo;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.</div></div></div></div></div></div></div>

Databricks Data Solution Architect

<div><div><div><div><div><div><div><h2 class="jobSectionHeader">Who You'll Be Working With</h2>
</div><div>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 realisation 
 
You 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.
</div></div><div><div><h2 class="jobSectionHeader">The Focus Of Your Role</h2> 
</div><div>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.
<ul><li>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.</li>
<li>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.</li>
<li>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.</li>
<li>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.</li>
<li>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.</li>
<li>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.</li>
<li>Support governance and metadata management: Implement data discovery, classification, lineage, and stewardship practices using Microsoft Purview and aligned standards for trusted, auditable data products.</li>
<li>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.</li>
<li>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).</li>
<li>Drive FinOps and capacity planning: Shape Microsoft Fabric capacity strategy, workload isolation, usage monitoring, and cost optimisation to balance performance, resilience, and value.</li>
<li>Lead migration and modernisation: Assess legacy estates and design pragmatic roadmaps to modern Azure/Fabric architectures, including transition planning, delivery governance, and risk management.</li>
<li>Support delivery leadership and pre-sales: Contribute to proposals, solution shaping, estimations, and delivery plans, and provide technical leadership across multi-supplier teams.</li> 
</ul></div></div><div><div><h2 class="jobSectionHeader">What You'll Bring</h2> 
</div><div>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:
<ul><li>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).</li>
<li>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.</li>
<li>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.</li>
<li>Excellent problem-solving and analytical skills and strong communication and teamwork skills.</li>
<li>Passion for data and a thirst for learning; either already a Microsoft Fabric advocate or working towards deep capability in Fabric and ADF.</li>
<li>Relevant Microsoft certifications (e.g., Azure Solutions Architect, Data Engineer, and/or Microsoft Fabric certifications).</li>
<li>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).</li> 
</ul></div></div><div><div><h2 class="jobSectionHeader">Additional Information</h2> 
</div><div>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&rsquo;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&rsquo;s &lsquo;learning for life&rsquo; 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&rsquo;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&rsquo;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.</div></div></div></div></div></div></div>

Azure Fabric Architect

<div><div><div><div>About the Job you are considering:
We are seeking an experienced Cloud &amp; Data Architecture Consultant to lead enterprise-scale cloud, data, and finance transformation initiatives. The ideal candidate will possess deep expertise in Google Cloud Platform (GCP) architecture, Oracle Integration Cloud (OIC), Enterprise Performance Management (EPM) strategy and tooling, and Databricks-based data platforms. This role will be responsible for defining target-state architectures, assessing and recommending EPM solutions, designing scalable integration frameworks, and enabling cloud-native data modernization programs. The consultant will work closely with business and technology stakeholders to drive architecture governance, solution design, and successful transformation outcomes.
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.
Your Role:
<ul><li>Define and drive enterprise-wide target-state architecture for cloud, data, and finance transformation programs.</li>
<li>Design scalable, secure, and high-performing GCP-based architecture solutions aligned with business and technology objectives.</li>
<li>Assess existing finance and performance management landscapes and provide EPM tooling recommendations based on business requirements, scalability, and future-state strategy.</li>
<li>Architect and govern Oracle Integration Cloud (OIC) solutions for seamless integration across Oracle and third-party applications.</li>
<li>Design and implement Databricks-based modern data platforms supporting analytics, reporting, and AI/ML use cases.</li>
<li>Develop enterprise data architecture standards, data models, and integration patterns to ensure consistency and scalability.</li>
<li>Lead cloud migration and modernization initiatives, including workload assessment, architecture planning, and execution oversight.</li>
<li>Collaborate with finance, business, and technology leadership teams to align architecture decisions with transformation goals.</li>
<li>Establish and enforce architecture governance, best practices, security standards, and design principles.</li>
<li>Conduct architecture reviews, solution assessments, and technical due diligence for new initiatives.</li>
<li>Provide strategic guidance on data management, integration, cloud adoption, and enterprise application modernization.</li>
<li>Facilitate stakeholder workshops, architecture discussions, and executive-level presentations.</li>
<li>Mentor project teams and support delivery organizations in implementing approved architecture solutions</li>
</ul>Your Skills:
<ul><li>Strong expertise in Google Cloud Platform (GCP) Architecture, including cloud-native design patterns and modernization strategies.</li>
<li>Hands-on experience with Oracle Integration Cloud (OIC) and enterprise integration architecture.</li>
<li>Experience evaluating, selecting, and implementing Enterprise Performance Management (EPM) solutions.</li>
<li>Strong knowledge of Databricks, data lakehouse architecture, and modern data engineering principles.</li>
<li>Expertise in Enterprise Data Architecture, data modeling, data governance, and data integration frameworks.</li>
<li>Experience in Cloud Migration, application modernization, and hybrid cloud architectures.</li>
<li>Strong understanding of solution architecture methodologies, security, scalability, and performance optimization.</li>
<li>Familiarity with data warehousing, analytics, reporting, and business intelligence ecosystems</li>
<li>Experience delivering Finance Transformation and enterprise data transformation programs.</li>
<li>Strong understanding of financial planning, forecasting, budgeting, and performance management processes.</li>
<li>Ability to translate business requirements into scalable technology solutions.</li>
<li>Excellent stakeholder management and executive communication skills.</li>
<li>Strong consulting, problem-solving, and analytical capabilities.</li>
<li>Proven experience leading architecture workshops and influencing senior business and technology stakeholders.</li>
<li>Ability to work across cross-functional and distributed teams in a fast-paced environment.</li>
<li>Strong governance, decision-making, and strategic planning skills.</li>
<li>Experience in large-scale enterprise transformation programs.</li>
<li>GCP, Oracle, Databricks, or relevant cloud certifications.</li>
<li>Experience working in consulting environments or leading enterprise architecture engagements.</li>
<li>Familiarity with finance systems, ERP platforms, and performance management ecosystems.</li>
</ul>'We are a Disability Confident Employer:
Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government&rsquo;s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:
<ul><li>Declare they have a disability, and</li>
<li>Meet the minimum essential criteria for the role.</li>
</ul>Please opt in during the application process.
Make It Real (what does it mean for you):
<ul><li>You&rsquo;d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.
 
To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.</li>
<li>You will be empowered to explore, innovate, and progress. You will benefit from Capgemini&rsquo;s &lsquo;learning for life&rsquo; 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 ManageMentor, Cybersecurity qualifications and much more.</li>
<li>You will be joining one of the World&rsquo;s Most Ethical Companies&reg;, as recognised by Ethisphere&reg; for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.</li>
</ul>Why you should consider Capgemini:
Growing clients&rsquo; businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you&rsquo;ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what&rsquo;s possible. It&rsquo;s why, together, we seek out opportunities that will transform the world&rsquo;s leading businesses, and it&rsquo;s how you&rsquo;ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you&rsquo;ll build the skills you want. You&rsquo;ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.
About Capgemini:
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of &euro;22.1 billion.
 
Make it real | www.capgemini.com</div></div></div></div><div></div>

Cloud & Data Architect

<div>Role description 
Senior / Principal Data Platform Engineer (Snowflake &amp; dbt)

London (Hybrid)

ASAP

We are seeking accomplished Data Platform Engineers with extensive experience in Snowflake and dbt to lead the design and delivery of scalable, enterprise-grade data solutions.

This role combines deep technical expertise with strategic influence, shaping data architecture, enabling modern CI/CD practices, and partnering closely with stakeholders to deliver high-impact, production-ready data capabilities. You will play a key role in driving data platform excellence, ensuring robustness, performance, and long-term scalability across the ecosystem. 


Key Responsibilities:
<ul>
<li>Lead the end-to-end delivery of data solutions on Snowflake, ensuring scalability, resilience, and performance</li>
<li>Design and implement modular, testable, and well-documented dbt models, embedding best practices across transformation layers</li>
<li>Build, optimise, and manage CI/CD pipelines using Azure DevOps to enable seamless, automated deployments across environments</li>
<li>Establish and champion engineering standards, including Git workflows, code quality, peer reviews, and release management</li>
<li>Optimise large-scale data workloads through advanced SQL techniques and Snowflake performance enhancements</li>
<li>Partner with business and technical stakeholders to translate requirements into scalable, outcome-driven data solutions</li>
<li>Ensure production readiness, including monitoring, ing, incident resolution, and structured handover to support teams</li></ul> 


What You Will Bring:
<ul>
<li>Extensive experience working with the Snowflake data platform in complex, enterprise environments</li>
<li>Advanced proficiency in SQL, including data modelling, optimisation, and performance tuning</li>
<li>Strong hands-on experience with dbt, including modelling, testing, macros, and incremental processing</li>
<li>Extensive experience with Git-based version control, including branching strategies and code governance</li>
<li>Proven capability in building and maintaining Azure DevOps CI/CD pipelines, supporting automated and scalable deployments</li>
<li>Strong understanding of software development lifecycle and production support models</li>
<li>Ability to engage effectively with cross-functional stakeholders, translating business needs into technical solutions</li>
<li>Strong communication skills, with the ability to convey complex concepts in a clear and structured manner</li>
<li>A proactive, solution-oriented mindset with a focus on delivering measurable outcomes</li></ul> 


Desirable Experience:
<ul>
<li>Experience within data-intensive or regulated industries, such as financial services</li>
<li>Familiarity with data quality frameworks and automated testing approaches</li>
<li>Exposure to the Azure data ecosystem</li></ul> 


Hurry &amp; apply for a more detailed conversation with our team!

#UST 
Skills 
sql server,database triggers,database migration,disaster recovery,query optimization, 
About UST 
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div>

Principal Data Platform Engineer (Snowflake & dbt) - Lead II - Software Engineering

Fastmarkets

<div>Company Description 
Fastmarkets is an industry-leading price-reporting agency (PRA) and information provider for global commodities, providing price data, news, analytics and events for the agriculture, forest products, metals and mining and new-generation energy markets.
Fastmarkets' data is critical for customers seeking to understand and predict dynamic, sometimes opaque markets, enabling trading and risk management. Fastmarkets is a global business with a history dating back to 1865 and is built on trust and deep market knowledge. It has more than 700 employees spread across global locations in the UK, US, China, India, Singapore, Brazil, Belgium, Bulgaria, Finland and beyond. 
Job Description 
Fastmarkets is, at its core, a data business. The prices, indices, and market intelligence we produce are relied upon by participants across global commodity, metals, forest products, agricultural and carbon markets to make investment/risk management decisions.
The Head of Data Platform leads the team responsible for the organisation&rsquo;s foundational data capability and for unlocking the commercially strategic opportunities that the platform makes possible. The role exists to ensure that data is ingested, modelled, governed, and served to internal
and external customer groups, through a Data Platform that operates as a product rather than a reactive service.
This is a strategic leadership role with both technical depth and a product mindset. The Head of Data Platform owns the maturity of the organisation&rsquo;s Snowflake implementation, the data engineering function that staffs the team, the platform roadmap and SLAs, and the governance framework that underpins it. They are accountable for delivering against the needs of internal and external customer groups.
The role reports to the Director of Data &amp; AI and has peer leaders in the AI Enablement, Data Insights, and Data Governance practices.
Principal Accountabilities<ul><li>
Define, own, and deliver the multi-year strategy for the Data Platform, including the maturation of the Snowflake implementation, the curated data product layer, the published service catalogue that customer groups consume, and the strategic capabilities the platform enables.</li><li>
Own the direct monetisation capability for the Data Platform. Define and stand up &ndash; in close partnership with Product &ndash; the model by which curated data products are delivered to external paying customers via Snowflake-to-Snowflake sharing and equivalent mechanisms. This includes the technical pattern (including security and entitlements), the commercial packaging, the customer onboarding experience, the SLAs, and the operational model. The Head of Data Platform owns what this looks like and how it works; Product owns commercial strategy, pricing, and go-to-market.</li><li>
Build, lead, and develop, a world-class, highly-engaged, high performing team of data engineers and adjacent disciplines.</li><li>
Run the Data Platform as a product. Maintain a roadmap that balances customer-driven demand against foundational investment (governance, lineage, cost optimisation, observability) and the strategic capabilities that unlock new value &ndash; and that no single customer group could justify on their own.</li><li>
Own strategic vendor relationships.</li><li>
Represent the Data Platform to senior stakeholders, internal customer groups, and external paying customers. Build and broadcast the narrative that connects platform investment to revenue and to the strategic capabilities it enables.</li><li>
Work as a trusted design partner with neighbouring technology functions to deliver the above, including but not limited to Information Security, Cloud Engineering, Enterprise Architecture, IT, and Engineering.</li></ul> 

Qualifications 
We recruit talented, dynamic people with diverse backgrounds and experiences, all united by a belief in our mission to provide the world&rsquo;s leading and most trusted price reporting, events, and intelligence service for the markets we serve. We&rsquo;re proud to be an equal opportunities employer and are committed to creating a fully inclusive workplace, where everyone feels able to participate and contribute meaningfully.
If you are open-minded, curious, resilient, solutions-oriented and committed to promoting equality, then read on.
KNOWLEDGE, EXPERIENCE AND SKILLS
We are looking for an individual who is highly motivated, driven, and have a passion to be part of a fast-paced, successful team. Being a strong team player is also important as well as someone who is happy to work flexibly.
Essential<ul><li>
Demonstrable experience leading a data engineering or data platform team at senior level, ideally including a transition from project-based or reactive delivery to a product operating model.</li><li>
Deep technical credibility in modern data platform architecture &ndash; cloud data warehousing (Snowflake or Databricks strongly preferred), ELT patterns, dimensional and analytics engineering practice (data build tool or equivalent), semantic modelling, and governance tooling.</li><li>
Practical experience with ultra-modern data sharing patterns, including secure data sharing, reader accounts, and marketplaces.</li><li>
Track record of maturing a fledgling data platform into a strategic capability, with visible improvements in reliability, cost management, and customer adoption.</li><li>
Product mindset with commercial fluency &ndash; the ability to articulate a platform roadmap, define services and SLAs, defend foundational investment against demand-led pressure, and engage substantively with Product and Commercial colleagues on data product packaging, pricing, and customer experience.</li><li>
Strong stakeholder leadership across diverse customer types &ndash; non-technical business users, embedded technical users, internal analytics teams, engineering peers, and external paying customers &ndash; with the ability to set expectations and build trust.</li><li>
Experience hiring and developing a highly-engaged, high-performing team.</li><li>
Vendor management experience, particularly with strategic data infrastructure vendors at meaningful commercial scale.</li></ul>
Desirable<ul><li>
Familiarity with the data needs of AI and ML use cases: feature engineering, embeddings, vector stores, retrieval patterns &ndash; sufficient to engage credibly with the AI team as a customer.</li><li>
Familiarity with the legal, contractual, and licensing considerations specific to selling data &ndash; data rights, customer obligations, audit, and the boundary between the technical delivery and the commercial agreement.</li></ul>
If you're excited about the role but your experience, skills or qualifications don't perfectly align, we encourage you to apply anyway. 
Additional Information 
Our Values
Fastmarkets people come from all different walks of life. It&rsquo;s this mix of brilliant personalities, experiences and insights that gives us that warm, open, and friendly culture you can feel as soon as you meet us. But however wonderfully different we all are, there are six things we all have in common &ndash; and they form our Fastmarkets values.
Created by our own employees to reflect some of the personal traits that Fastmarkets people have, our values are key to what makes our culture unique. They reflect who each of us are and they're embedded in everything we do. Our values are:<ul><li>
METRICS DRIVEN. We use insights to improve our customers&rsquo; experience and our business performance</li><li>
ACCOUNTABLE. We are accountable to ourselves and those we work with: we keep our promises and get things done</li><li>
GROWTH MINDSET. This value enables us to be nimble to the changing realities and operate with a sense of urgency</li><li>
INCLUSIVE. We are inclusive and respectful, celebrating each of us and giving everyone a deep sense of belonging with the desire to bring their best self to work every day.</li><li>
CUSTOMER CENTRIC. We are customer-centric in all that we do</li><li>
COLLABORATIVE. We are collaborative, able to work across teams and capitalise on the diversity of intellect, perspectives, and experiences.</li></ul>
We are committed to ensuring all candidates feel welcomed and supported. Should your application advance and you require accommodations for the interview process, please inform us so we can make the necessary arrangements.<div></div>
You&rsquo;ve read a little about us &ndash; now it&rsquo;s over to you!
If you like what you&rsquo;ve read so far and think you can see yourself as a Fastmarkets person, it&rsquo;s time to fill in your application form. This form is an important part of the selection process: it&rsquo;s used to determine whether or not you&rsquo;ll be chosen to have an interview and acts as a basis for the questions we&rsquo;ll ask you on the day.
It&rsquo;s vital that you try to capture all the relevant information we have asked for on the form so we can get a good feel for who you are and why you&rsquo;re great.</div>

Head of Data Platform

LSEG (London Stock Exchange Group)

<div>Lead News Architect &mdash; News Engineering @ LSEG
Help us shape the future of real‑time news data and join a team powering the heartbeat of global information. LSEG&rsquo;s News Engineering group is looking for a Lead News Data Architect to define and evolve the data architecture that powers our real‑time News platform, delivering richly structured and searchable news to customers worldwide in sub‑second time.
This role is ideal for hands‑on architects who want to be individual contributors and technical leaders. You&rsquo;ll work at the intersection of data modeling, metadata standards, and search technologies, with the opportunity to influence platform‑wide decisions and long‑term strategy.
As a news architect in the News team at LSEG, you will lead end‑to‑end data architecture decisions for real‑time news ingestion, enrichment, storage, indexing, and distribution. Develop data standards, schemas, and contracts for news content, metadata, and derived signals to ensure consistency and quality across the platform. Partner closely with engineering teams improving signal discoverability through normalizing metadata and implementing industry standards. Ensure data architectures support observability and lineage while providing customers with a simple, straight-forward experience for working with News from LSEG. We encourage pragmatic experimentation with new tools, libraries, and approaches when they improve reliability, performance, or developer experience.
What We&rsquo;re Looking For<ul><li>
Strong experience as a Data Architect or Technical Architect working with large‑scale, real‑time data systems.</li><li>
Deep expertise in data modeling and contract definition.</li><li>
Experience designing architectures for low‑latency, high‑throughput systems.</li><li>
Experience with streaming and event‑driven architectures.</li><li>
Familiarity with cloud‑native data platforms and distributed systems.</li><li>
Ability to work independently, lead through influence, and communicate ideas clearly.</li></ul>
Bonus Points<ul><li>
Knowledge of news data standards such as NewsML‑G2 or similar structured content formats.</li><li>
Experience defining or implementing canonical data models.</li><li>
Familiarity with data governance, lineage, or data quality frameworks.</li><li>
Understanding search technologies (e.g., Elasticsearch or similar) and how data modeling impacts query performance.</li><li>
Experience working closely with senior product and engineering leaders.</li></ul>
Why Join Us?<ul><li>
Impact: Your work defines how critical news data is structured, discovered, and delivered to customers.</li><li>
Growth: Expand your influence across data architecture, platform strategy, and real‑time analytics.</li><li>
Culture: We value clarity over complexity, ownership over hand‑offs, and pragmatic architecture that delivers real results.</li><li>
Flexibility: Hybrid work options and a balanced work-life environment.</li></ul>
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&rsquo;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&rsquo;s used for, and how it&rsquo;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.</div>

Lead News Architect

Mastercard

<div>Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Senior Principal Agentic Platforms Architect
Overview
 
 
The AI Center of Excellence is seeking a Senior Principal Agentic Platforms Architect to lead the technical vision, architecture, and hands-on development of Mastercard's enterprise agentic AI platforms. This role demands deep, demonstrated expertise in building and shipping production-grade AI and agentic systems at enterprise scale, combined with the architectural rigor required to operate within one of the most highly regulated and security-conscious environments in the world. Reporting to senior leadership, you will own the E2E platform architecture for agentic AI systems, from runtime orchestration and governance infrastructure through to production deployment and operational lifecycle management. This is not a strategy-only role. You will write code, review code, and hold the team to the highest standards of engineering excellence. The right candidate has spent their career building AI systems that run in production, not prototypes, not proofs of concept, but systems that operate at scale, under load, and under scrutiny 
 
Role
 
 
<ul><li>Serve as the principal technical authority for agentic AI platform architecture, owning the design and evolution of runtime environments, governance layers, orchestration engines, and multi-tenancy infrastructure that support enterprise-grade AI agent deployment</li></ul> 
<ul><li>Lead hands-on architecture and development of agentic systems, including agent orchestration frameworks, tool and model integration layers, policy enforcement engines, guardrail systems, behavioral monitoring pipelines, and evaluation infrastructure</li></ul> 
<ul><li>Design and implement scalable, resilient platform architectures that support multi-agent coordination, A2A communication protocols, memory governance, and real-time observability across distributed deployments</li></ul> 
<ul><li>Drive the technical strategy for model integration and abstraction, enabling model-agnostic agent execution across multiple providers while enforcing cost optimization, routing intelligence, and governance controls at the platform level</li></ul> 
<ul><li>Architect and build API-first platform interfaces that enable both internal teams and external consumers to build, deploy, govern, and operate AI agents through programmatic, language-agnostic access patterns</li></ul> 
<ul><li>Define and enforce engineering standards, code quality practices, and architectural governance across the platform engineering team, ensuring every component meets production-grade requirements for security, resilience, performance, and compliance</li></ul> 
<ul><li>Provide deep technical leadership on agentic AI design patterns, including retrieval-augmented generation, tool calling via Model Context Protocol, multi-step orchestration, human-in-loop workflows, and autonomous decision-making architectures</li></ul> 
<ul><li>Act as a trusted technical advisor to senior leadership, translating complex platform architecture decisions into clear, business-oriented language that supports informed decision-making at the executive level</li></ul> 
<ul><li>Mentor and develop a high-performing engineering team, fostering a culture of technical excellence, intellectual honesty, rigorous code review, and continuous improvement</li></ul> 
<ul><li>Produce and maintain authoritative architectural documentation, including system design documents, architecture decision records, and integration specifications that meet Mastercard's engineering principles and security standards</li></ul> 
All About You
 
 
<ul><li>15+ years of hands-on experience in software engineering and AI engineering, with a significant and demonstrable portion spent designing, building, and shipping AI and machine learning systems to production at enterprise scale</li></ul> 
<ul><li>Proven track record of architecting and delivering agentic AI systems, autonomous agents, multi-agent orchestration platforms, or AI-powered automation systems that operate in production with real users, real data, and real consequences</li></ul> 
<ul><li>Deep hands-on coding proficiency. You write production code, you review production code, and you hold others to the same standard. This is a building role, not a diagram-drawing role</li></ul> 
<ul><li>Advanced expertise in Python and modern AI/ML frameworks, with hands-on experience across agentic toolkits such as LangChain, LangGraph, CrewAI, or equivalent orchestration frameworks</li></ul> 
<ul><li>Strong architectural experience with cloud-native platforms including AWS, Databricks, and Kubernetes, with demonstrated ability to design for high availability, fault tolerance, and horizontal scalability</li></ul> 
<ul><li>Deep understanding of AI governance, trust, and safety architectures, including guardrail systems, policy engines, behavioral analytics, evaluation frameworks, red teaming methodologies, and compliance mapping</li></ul> 
<ul><li>Experience designing and building multi-tenant platforms with fine-grained access control, workspace isolation, and enterprise-grade identity and authorization systems</li></ul> 
<ul><li>Proven ability to design API-first architectures, RESTful interfaces, and SDK abstractions that serve both internal platform teams and external consumers</li></ul> 
<ul><li>Strong understanding of data architectures including Delta Lake, data lakehouse patterns, vector databases and retrieval-augmented generation pipelines</li></ul> 
<ul><li>Demonstrated experience with tool calling architectures and model-agnostic integration patterns across multiple LLM providers</li></ul> 
<ul><li>Exceptional communicator who can articulate deeply technical architecture decisions to engineering teams and translate complex platform concepts into business language for non-technical stakeholders</li></ul> 
<ul><li>Known for building trust, holding high standards, and mentoring engineers. You make the people around you better. Motivated by hard problems, not titles. You bring intellectual curiosity, resilience, and relentless energy to complex technical challenges</li></ul> 
<ul><li>Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degree preferred but not required if the experience speaks for itself</li></ul>
Corporate Security Responsibility 
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:<ul><li>
Abide by Mastercard&rsquo;s security policies and practices;</li><li>
Ensure the confidentiality and integrity of the information being accessed;</li><li>
Report any suspected information security violation or breach, and</li><li>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</li></ul></div>

Senior Principal Agentic Platforms Architect

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