data engineer

senior data engineer

senior data scientist

lead data scientist

data science manager

delivery director data and analytics 3

Hayfin Capital Management

<div>We are hiring a Full-Stack Engineer to help build the analytics workbench applications that supports analysis and decision-making across our business.
Hayfin is a global alternative asset manager with deep expertise in credit and a broad alternatives platform, partnering with institutional investors worldwide. Reporting directly to the Director of Portfolio Analytics, you will take ownership of our growing in-house analytics workbench - working across the full stack, shaping how the business uses data, and coordinating with a small offshore vendor team to keep delivery on track. It's a hands-on role for someone with a strong track record shipping enterprise software, who wants to bring that experience to a small, fast-moving team that's actively rethinking how it builds, using AI as part of the day-to-day workflow.
What you'll do<ul><li>
Build and maintain the analytics workflow app, using Angular on the front end and Python (FastAPI) on the back end, writing clean, well-tested code that's easy to support and extend.</li><li>
Build data pipelines and models using pandas and NumPy, working with Snowflake and Azure to store and serve data reliably and securely.</li><li>
Coordinate an offshore vendor team: setting priorities, assigning work, reviewing output, and tracking hours and spend.</li><li>
Use AI coding assistants as part of daily development work, and look for ways to improve how the team builds, tests, and ships software.</li><li>
Work directly with the Director of Portfolio Analytics and business stakeholders, turning requirements into working software and explaining technical choices in plain language.</li></ul> 

Requirements 
<ul><li>
8+ years building and managing enterprise-grade software, including experience working across offshore/onshore vendor teams.</li><li>
8+ years with Python, including pandas and NumPy; 5+ years building APIs with FastAPI; 5+ years with Angular and UI libraries such as Material or Bootstrap.</li><li>
Experience hosting and managing applications on Azure, and building solutions on Snowflake.</li><li>
Hands-on, day-to-day experience using AI coding assistants as part of a development workflow.</li><li>
A clear communicator, comfortable working directly with non-technical stakeholders.</li><li>
Financial services experience (asset management, banking, or fintech) is a plus, as is experience in a small, fast-moving analytics or engineering team.</li></ul></div>

Senior Software Engineer

Cisco

Meet the Team
 Join Cisco Customer Experience (CX) UKI as an executive delivery leader partnering with our most prestigious enterprise customers. Our organisation is entrusted with architecting, delivering, and managing business-critical digital transformations that underpin national and global infrastructure. We combine industry-leading governance frameworks, deep technological mastery, and next-generation Artificial Intelligence (AI) to unlock substantial business value. In this high-visibility, executive leadership role, you will lead a world-class, multidisciplinary matrix organisation, steering a flagship multi-year engagement and setting the benchmark for enterprise services delivery.
 
Your Impact
 As a Programme Director, you will hold ultimate executive accountability for the overarching strategy, delivery governance, and operational excellence of a $100M+ CX Services portfolio (encompassing Professional Services and Support Services) for one of Cisco UKI’s largest strategic accounts. You will act as the principal customer contact and definitive single point of executive escalation across diverse, critical programme streams—commanding the room with C-suite and C-1 stakeholders to translate high-level business vision into flawless technical execution.
 This role demands an innovative, forward-looking executive who actively integrates Artificial Intelligence (AI) and intelligent automation into modern delivery operating models. You will spearhead the adoption of AI-augmented programme intelligence to forecast risk, optimise multi-million-pound commercial performance, accelerate delivery velocity, and orchestrate complex multi-vendor ecosystems.
 
<ul>
<li>Executive Advisory& Strategic Alignment: Serve as the primary, trusted executive advisor to customer C-suite and senior leadership; steer joint steering committees, shape multi-year technology roadmaps, and act as the definitive single point of escalation for complex delivery challenges.</li>
<li>Portfolio& Delivery Governance: Exercise end-to-end executive governance over a $100M+ multi-year services portfolio, directing large-scale, matrixed delivery teams across diverse technical streams to ensure unmatched delivery velocity, quality, and contractual compliance.</li>
<li>AI-Driven Programme Leadership: Champion and embed cutting-edge Artificial Intelligence (AI), predictive analytics, and intelligent automation across the delivery organisation to model risk, automate executive insight synthesis, optimise resource capacity, and drive continuous operational resilience.</li>
<li>Complex Transformation Oversight: Direct strategic technology initiatives across Data Centre and Campus architectures—including regulatory-driven Last Date of Support (LDOS) remediations, Cisco Nexus/ACI environments, Software-Defined Access (SDA), and Catalyst Center rollouts.</li>
<li>Commercial Strategy& P Accountability: Maintain full commercial oversight of multi-year Statements of Work (SOWs), margin realisation, third-party vendor performance, risk provisions, and revenue expansion across Professional and Support Services.</li>
<li>Organisational Leadership& Talent Cultivation: Lead, mentor, and inspire a large, multi-geography team of programme managers, architects, and engineers, instilling a culture of accountability, empathetic leadership, and AI-enabled innovation.</li>
<li>Ecosystem& Vendor Orchestration: Establish robust governance frameworks across multi-vendor consortia and strategic partners, ensuring seamless integration, accountability, and alignment with customer objectives.</li>
</ul>
Minimum Qualifications
 
<ul>
<li>Bachelor’s degree in Computer Science, Engineering, Business Leadership, or a related discipline with 15+ years of experience leading large-scale IT and network transformation programmes; OR 18+ years of equivalent enterprise delivery leadership experience.</li>
<li>Minimum of 10 years of demonstrable experience operating as the primary engagement leader and trusted advisor to C-suite and C-1 executives in multi-million-pound/dollar enterprise environments.</li>
<li>Demonstrated hands-on track record of implementing and utilising Artificial Intelligence (AI) platforms, machine learning models, or intelligent automation tools within programme governance to enhance predictive risk detection, financial reporting, or operational decision-making.</li>
<li>Proven experience exercising end-to-end governance and commercial accountability over large-scale services portfolios (£50M+ / $75M+) spanning complex multi-vendor contracts, statements of work (SOWs), and multi-geography delivery teams.</li>
<li>Demonstrated experience leading enterprise network and infrastructure transformation programmes across modern Campus and Data Centre architectures (e.g., Cisco Nexus, ACI, Catalyst, or Software-Defined Access).</li>
</ul>
Preferred Qualifications
 
<ul>
<li>Formal programme leadership certifications such as Program Management Professional (PgMP), Project Management Professional (PMP), MSP (Managing Successful Programmes), or executive Agile leadership credentials.</li>
<li>Practical experience leading AI transformation initiatives within PMO operations, such as developing agentic workflows, prompt engineering frameworks, or predictive analytics dashboards for enterprise delivery.</li>
<li>Executive background directing regulatory-driven infrastructure migrations and complex hardware/software lifecycle remediation programmes (e.g., LDOS).</li>
<li>Working knowledge of modern network automation, software-defined architectures, and cloud integration concepts.</li>
<li>Exceptional executive presence, high-stakes negotiation skills, and a proven ability to lead large, multidisciplinary matrix teams through complex organisational change.</li>
</ul>
Why Cisco?
 
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 We are Cisco, and our power starts with you.

Customer Program Director

NTT DATA

Make an impact with NTT DATA
 Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
 
Your day at NTT DATA
 
We are seeking a highly skilled Databricks Data Engineer to join our Data AI practice. The successful candidate will have deep expertise in building scalable data pipelines, optimizing Lakehouse architectures and enabling advanced analytics and AI use cases on the Databricks platform. This role is critical in building and optimizing modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients.
 
As a trusted practitioner, you will design and implement robust ETL/ELT workflows, integrate real-time and batch data sources, and enable secure, well-governed data products and pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation and ensuring the seamless delivery of data solutions.
 .
 
Looking ahead to future opportunities. As our business continues to grow, we are building a pipeline of exceptional talent for upcoming positions across the UK. This advertisement is intended to identify and engage candidates in advance of specific vacancies becoming available. We encourage you to apply if you would like to be considered for future opportunities that match your expertise
 
Primary Responsibilities
 <ul>
<li>Client Engagement Delivery</li>
<li>Data Pipeline Development (Batch and Streaming)</li>
<li>Databricks Lakehouse Architectures</li>
<li>Data Modelling Optimisation (Delta Lake, Medallion architecture)</li>
<li>Collaboration Best Practices</li>
<li>Quality, Governance Security</li>
</ul>
Business Relationships
 <ul>
<li>Solution Architects</li>
<li>Data Engineers, Developers, ML Engineers, and Analysts</li>
<li>Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership</li>
</ul>
To thrive in this role, you need to have: 
Key Competencies
 <ul>
<li>Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms.</li>
<li>Strong consulting values with ability to collaborate effectively in client-facing environments.</li>
<li>Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.</li>
<li>Strong problem-solving, analytical, and communication skills.</li>
<li>Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions.</li>
</ul>
Technical Expertise
 <ul>
<li>Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow).</li>
<li>Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.</li>
<li>Strong SQL and Python (or equivalent language) skills for data manipulation and automation.</li>
<li>Hands-on experience with cloud platforms (AWS, Azure, GCP).</li>
<li>Familiarity with Databricks Workflows and other orchestration tools.</li>
<li>Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).</li>
<li>Familiarity with medallion architectures, data lakehouse principles and distributed data processing.</li>
<li>Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.</li>
<li>Understanding of data governance, security, and compliance frameworks.</li>
<li>Exposure to AI/ML workloads desirable.</li>
</ul>
Experience, Qualifications, and Education
 <ul>
<li>Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3 years working with Databricks.</li>
<li>Education: University degree required.</li>
<li>Preferred: BSc/MSc in Computer Science, Data Engineering, or related field</li>
<li>Databricks certifications (Data Engineer Professional) highly desirable.</li>
</ul>
Measures of Success
 <ul>
<li>Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.</li>
<li>High client satisfaction and successful adoption of Databricks-based solutions.</li>
<li>Demonstrated ability to innovate and improve data engineering practices.</li>
<li>Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.</li>
</ul>
Workplace type: 
About NTT DATA
 NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune
 
Global 100. We are committed to accelerating client success and positively impacting society through
 
responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with
 
unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and
 
application services. Our consulting and industry solutions help organizations and society move
 
confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more
 
than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as
 
established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each
 
year in RD.
 
Equal Opportunity Employer
 NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
 
Third parties fraudulently posing as NTT DATA recruiters
 
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Databricks Data Engineer

Make an impact with NTT DATA
 Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
 
Your day at NTT DATA
 
We are seeking an accomplished and detail-oriented Snowflake Data Engineer to join our Data AI practice. The successful candidate will bring deep expertise in data engineering, ETL/ELT pipelines, and cloud-native data platforms, with a strong focus on Snowflake. This role is critical in building and optimizing modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients.
 
As a trusted practitioner, you will collaborate with architects, developers, and analysts to design, implement, and maintain secure and high-performing data pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation, and ensuring the seamless delivery of data solutions.
 
Looking ahead to future opportunities. As our business continues to grow, we are building a pipeline of exceptional talent for upcoming positions across the UK. This advertisement is intended to identify and engage candidates in advance of specific vacancies becoming available. We encourage you to apply if you would like to be considered for future opportunities that match your expertise
 
Primary Responsibilities
 <ul>
<li>Client Engagement Delivery</li>
<li>Data Pipeline Development (Batch and Streaming)</li>
<li>Snowflake Cloud Data Platforms</li>
<li>Data Architecture Modelling</li>
<li>Collaboration Best Practices</li>
<li>Quality, Governance Security</li>
</ul>
Business Relationships
 <ul>
<li>Solution Architects</li>
<li>Data Engineers, Developers, ML Engineers and Analysts</li>
<li>Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership</li>
</ul>
To thrive in this role, you need to have: 
Key Competencies
 <ul>
<li>Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms.</li>
<li>Strong consulting values with ability to collaborate effectively in client-facing environments.</li>
<li>Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.</li>
<li>Strong problem-solving, analytical, and communication skills.</li>
<li>Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions.</li>
</ul>
Technical Expertise
 <ul>
<li>Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).</li>
<li>Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.</li>
<li>Strong SQL and Python (or equivalent language) skills for data manipulation and automation.</li>
<li>Hands-on experience with cloud platforms (AWS, Azure, GCP).</li>
<li>Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).</li>
<li>Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop).</li>
<li>Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.</li>
<li>Understanding of data governance, security, and compliance frameworks.</li>
<li>Exposure to AI/ML workloads desirable.</li>
</ul>
Experience, Qualifications, and Education
 <ul>
<li>Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3 years working with Snowflake.</li>
<li>Education: University degree required.</li>
<li>Preferred: BSc/MSc in Computer Science, Data Engineering, or related field</li>
<li>Snowflake certifications (SnowPro Core, Advanced) highly desirable.</li>
</ul>
Measures of Success
 <ul>
<li>Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.</li>
<li>High client satisfaction and successful adoption of Snowflake-based solutions.</li>
<li>Demonstrated ability to innovate and improve data engineering practices.</li>
<li>Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.</li>
</ul>
Workplace type: 
About NTT DATA
 NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune
 
Global 100. We are committed to accelerating client success and positively impacting society through
 
responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with
 
unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and
 
application services. Our consulting and industry solutions help organizations and society move
 
confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more
 
than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as
 
established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each
 
year in RD.
 
Equal Opportunity Employer
 NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
 
Third parties fraudulently posing as NTT DATA recruiters
 
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Snowflake Data Engineer

DataArt

<ul><li>Position overview: DataArt is seeking a highly motivated and experienced Senior Data &amp; Analytics Consultant to join our dynamic team. In this pivotal role, you will partner with prestigious clients in the Healthcare and Life Sciences industries to tackle complex business challenges and develop impactful, solution-oriented strategies.</li><li>
As a key member of the DataArt Data &amp; Analytics Lab, you will provide strategic consulting services to both clients and internal delivery teams, driving data strategy, data-driven organizational transformation, and other critical data and analytics initiatives. Beyond project delivery, you will also contribute to the growth of the Healthcare and Life Sciences practice and the Data &amp; Analytics Lab through business development and go-to-market activities.</li></ul>
 <ul><li>Responsibilities: Forge strong, trusted advisor relationships with senior client stakeholders and internal account managers, gaining a deep understanding of their business objectives and challenges</li><li>
Lead collaborative, value-driven engagements to define and solve complex data problems, ensuring alignment with client goals and business objectives</li><li>
Collaborate with Practice Leadership and Account Management teams to develop account plans and strategies that identify and capitalize on data-driven opportunities, driving revenue growth within existing workstreams and beyond</li><li>
Serve as the principal consultant, guiding clients through complex data transformation initiatives and ensuring successful outcomes; contribute to key strategic deliverables such as mission statements, assessment results, and roadmaps to support clients' data journeys</li><li>
Actively engage in data-related pre-sales activities, including opportunity assessment, RFP responses, proposal development, and deal closure</li><li>
Support team development by mentoring colleagues and providing expertise across strategic client accounts</li><li>
Drive client value and business growth by achieving revenue targets (e.g., enabled revenue, new account acquisition) and meeting billable utilization goals</li><li>
Contribute to the Healthcare and Life Sciences practice and Data &amp; Analytics Lab by supporting go-to-market strategy, offering development, methodologies, and other strategic initiatives</li></ul>
 <ul><li>Requirements: Proven experience driving data strategy, data governance, data maturity, and data-driven transformation projects for Healthcare and Life Sciences organizations, including Healthcare Providers, Payers, Healthcare Non-profits/Associations, Pharma &amp; Biotech, Medical Devices, and others</li><li>
Extensive experience working within custom IT services, custom IT solutions, and/or IT implementation environments, with a strong understanding of the custom software development services landscape</li><li>
Experience driving change management initiatives in enterprise environments</li><li>
Experience influencing data solution design and technology selection for enterprise data platforms, warehouses, data lakes, lakehouses, and data science platforms</li><li>
Experience implementing data strategies that enable in-house AI platform development</li><li>
Experience in the Healthcare and/or Life Sciences industries in the US and Europe</li><li>
Solid knowledge of Healthcare and/or Life Sciences data regulations, such as HIPAA, GDPR, ISO 27001, and the EU AI Act</li><li>
Extensive knowledge of health data exchange frameworks, data formats, and nomenclatures, including FHIR, HL7, SNOMED, and ICD-10, as well as regulatory frameworks such as TEFCA (US) and EHDS (Europe)</li><li>
Strong understanding of data and technology consulting principles and practices</li><li>
Expertise in leading large data-driven programs and driving revenue growth within client account portfolios</li><li>
Skilled in contributing to business development and sales engineering teams or organizations</li><li>
Proven track record of managing complex technology initiatives while effectively communicating with senior business and IT stakeholders</li><li>
Demonstrated ability to develop and grow client relationships, facilitate strategy definition, and drive adoption</li><li>
Solid understanding of business operations, products, and services</li></ul>

Principal Data & Analytics Strategy and Technology Consultant, Healthcare & Life Sciences

AtkinsRéalis

<div><h2 class="jobSectionHeader">Overview</h2>
Love solutions that make our world a better place?
Our Digital, Data &amp; AI Advisory team synthesises knowledge and information from across AtkinsR&eacute;alis and uses it to guide strategies and roadmaps that achieve the outcomes our clients need. We work alongside organisations to create trusted information foundations that enable digital transformation, advanced analytics, AI adoption and improved business performance across infrastructure, energy and the built environment.
Information Management is increasingly critical to ensuring that clients can trust the insights they derive from their data and do so efficiently. It also underpins effective project delivery, better decision-making, improved reuse of knowledge and the development of future digital services and products.
We are seeking an experienced Senior Information &amp; Data Management Consultant who can combine practical Information Management and BIM delivery expertise with strategic advisory skills. The role will suit someone who can engage clients, shape information and data strategies, improve ways of working and help teams realise measurable value from digital transformation.
<h2 class="jobSectionHeader">Your role</h2>
You will support the delivery of Information Management, data governance and digital transformation services across projects and programmes. Working with experienced consultants, technical specialists, clients and delivery teams, you will help implement standards, processes and digital solutions that improve information quality, governance, collaboration and business outcomes. You will contribute to practical advisory outputs, support the consistent management and reuse of information and data assets, and help prepare trusted information foundations for analytics, automation, digital twins, AI and future digital services. You will also contribute to the continued development of the Digital, Data &amp; AI Advisory team through reusable guidance, templates and lessons learned.<ul><li>
Supporting clients and project teams in the application of Information Management and BIM standards, including BS EN ISO 19650, AtkinsR&eacute;alis procedures and digital delivery best practice.</li><li>
Assisting with the development and implementation of Information Management strategies, delivery plans, governance frameworks, reporting arrangements and Common Data Environment (CDE) approaches.</li><li>
Contributing to client workshops, discovery activities, maturity assessments and stakeholder engagement to understand business needs, challenges and opportunities for improvement.</li><li>
Helping clients improve information governance, data quality, metadata, taxonomy and information architecture to maximise the value of information and data assets.</li><li>
Supporting the identification, structuring and management of information and data assets that enable analytics, automation, digital twins, AI and other digital transformation initiatives.</li><li>
Monitoring Information Management performance, compliance, risks, issues and benefits, preparing reports and recommendations that support effective project delivery.</li><li>
Working collaboratively with multidisciplinary digital, data and technology teams to deliver integrated solutions and support wider transformation objectives.</li><li>
Developing and maintaining reusable templates, guidance, lessons learned and awareness materials that improve consistency and capability across projects and programmes.</li><li>
Supporting client presentations, proposals and work-winning activities by contributing technical knowledge, project experience and practical delivery insights.</li><li>
Continuously developing your knowledge and expertise across Information Management, data governance, BIM, digital transformation, data and AI, while contributing to a positive learning and knowledge-sharing culture.</li></ul><h2 class="jobSectionHeader">
About you</h2><ul><li>
Has experience supporting clients and project teams in applying Information Management and BIM standards, including BS EN ISO 19650, AtkinsR&eacute;alis procedures and relevant digital delivery methods.</li><li>
Can assist with the development and maintenance of Information Management strategies, delivery plans, responsibility matrices, reporting arrangements and Common Data Environment approaches.</li><li>
Can contribute to client workshops, discovery activities and maturity assessments to understand business needs, current practices, challenges and opportunities for improvement.</li><li>
Can help establish practical approaches to information governance, metadata, taxonomy, information architecture and data quality that improve the value and usability of information assets.</li><li>
Can support the identification, structuring and governance of information and data assets for analytics, automation, digital twins and AI use cases.</li><li>
Can monitor Information Management progress, compliance, risks, issues and benefits, and prepare clear reports and recommendations for project stakeholders.</li><li>
Can work collaboratively with multidisciplinary digital, data and technology teams to support integrated solutions and wider digital transformation outcomes.</li><li>
Can contribute to reusable methods, templates, guidance, lessons learned and awareness materials that improve delivery consistency and team capability.</li><li>
Can support proposals, client presentations and work-winning activities by providing relevant delivery experience and technical input where appropriate.</li><li>
Is committed to developing their professional capability through coaching, knowledge sharing and continuous learning across Information Management, data governance, digital, data and AI disciplines.</li></ul><h2 class="jobSectionHeader">
Rewards &amp; benefits</h2>
Explore the rewards and benefits that help you thrive &ndash; at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life.
Rewards and benefits &ndash; Careers at AtkinsR&eacute;alis<h2 class="jobSectionHeader">
About AtkinsR&eacute;alis</h2>
We're AtkinsR&eacute;alis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.<h2 class="jobSectionHeader"> 
Additional information</h2>
Security clearance
This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance.
We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage.
#LI-ADST | #LI-UK | #SGCampaign</div>

Information Management Consultant

MS AMLIN

<div>Role: Data Governance Lead (12 month FTC)
Location: London
Position: Full time, Fixed Term
We are looking for an experienced Data Governance Lead to own the evolution of the data management capability for our Enterprise Data Platform (EDP).
In 2026, we have successfully delivered a Databricks pilot that established the foundations of our data management capability, including Unity Catalogue, Microsoft Purview integration, metadata management, business glossary, data ownership and data quality. The next phase of the programme is to mature these foundations into a scalable, production-ready capability that supports the long-term growth of the platform.
This role will be responsible for defining the vision, requirements and design for data management across the Enterprise Data Platform. Acting as the bridge between business stakeholders and our delivery partner, you will translate business needs into governance and data management requirements, make key design decisions, and ensure the implemented solution supports trusted reporting, analytics and AI capabilities.
While our delivery partner will configure and implement capabilities such as Unity Catalogue and Microsoft Purview, you will own the functional design, approve solution decisions, ensure alignment with enterprise standards and drive adoption across the business.
As the platform matures, you will also formalise the supporting operating model, standards and governance processes to ensure the capability is sustainable and aligned with the wider MS Amlin data management framework. You will ensure the Enterprise Data Platform's data management framework provides the trusted metadata, governance and business context required to enable responsible, secure and effective AI solutions.
About The Job
What you&rsquo;ll spend your time doing:
Data Management Strategy &amp; Design<ul><li>
Own the vision, roadmap and continuous improvement of the Enterprise Data Platform data management capability.</li><li>
Define the functional design and business requirements for metadata management, business glossary, data lineage, data quality, ownership, stewardship and data products and make key decisions.</li><li>
Own the Enterprise Data Platform data product strategy, including governance, ownership, lifecycle management and standards.</li><li>
Define enterprise naming standards, metadata standards and governance principles for data products and datasets.</li><li>
Develop pragmatic approaches for data privacy, data classification and information management in collaboration with security and privacy teams.</li><li>
Ensure governance capabilities support downstream reporting, analytics and AI use cases, including Databricks Genie.</li></ul>
Solution Design &amp; Delivery<ul><li>
Act as the product owner for the data management capability, defining requirements and priorities for delivery.</li><li>
Work closely with the delivery partner to design the implementation of Unity Catalogue, Microsoft Purview and related governance capabilities.</li><li>
Review governance-related deliverables and support testing and acceptance of implemented capabilities.</li><li>
Capture lessons learned from the pilot and subsequent deliveries, continuously improving governance standards and platform capabilities.</li></ul>
AI Implementation<ul><li>
Ensure metadata, data quality, lineage, ownership, classification and business context are captured and maintained to enable trusted AI use cases and support AI-ready data products (working closely with the Amlin AI function for guidance).</li></ul>
Business Engagement<ul><li>
Act as the primary interface between business stakeholders and the delivery partner for all data management and governance activities.</li><li>
Facilitate workshops with business users (working with an analyst) to define business terminology, critical data elements, ownership, metadata requirements and data quality rules.</li></ul>
Enterprise Data Management<ul><li>
Ensure alignment between the Enterprise Data Platform and the wider MS Amlin data management framework, operating model and governance initiatives.</li><li>
Define roles, responsibilities and processes that support sustainable governance without creating unnecessary overhead.</li></ul>
What you&rsquo;ll need:
Essential<ul><li>
Experience designing and implementing enterprise data management or data governance capabilities for modern cloud-based data platforms.</li><li>
Experience acting as the business or functional lead for governance tooling implementations such as Microsoft Purview, Collibra or equivalent.</li><li>
Strong understanding of metadata management, business glossaries, data catalogues, data lineage, data quality, ownership, stewardship and data products.</li><li>
Experience defining business requirements and translating them into technical solutions delivered by engineering or implementation partners.</li><li>
Experience working with delivery partners or system integrators to design, review and approve governance solutions.</li><li>
Strong stakeholder management and facilitation skills, with experience working across business and technical teams.</li><li>
Experience developing governance standards, naming conventions, metadata models and data quality frameworks.</li><li>
Excellent communication skills with the ability to influence senior stakeholders and build consensus.</li></ul>
Desirable<ul><li>
Experience with Databricks and Unity Catalogue.</li><li>
Experience with Microsoft Purview or Collibra.</li><li>
London Market insurance experience.</li><li>
Previous consulting experience with a leading technology consultancy.</li><li>
Experience working within Azure cloud environments.</li></ul>
We are stronger together because of our common interests and rich differences. You may be the strength we didn&rsquo;t know we needed. Believe in yourself, and click apply today!
What Can You Expect From Us?
As well as a competitive base salary and performance related discretionary bonus, here is a link to our employee benefits - Benefits of working at MS Amlin | MS Amlin
Hybrid Working
At MS Amlin we operate a hybrid working model to empower our people with flexibility to blend where they work. We value collaboration and believe that we work better together, our teams typically do 3 days a week in the office.
About MS Amlin
MS Amlin is a leading (re)insurer and part of the global MS&amp;AD Group, with operations across Lloyd&rsquo;s of London, the Middle East, and Asia Pacific. With over 120 years of experience, we support businesses facing complex and demanding risks, providing continuity in an uncertain world. Our expertise covers Property, Casualty, Marine, Crisis Management, Natural Resources and Reinsurance, backed by strong underwriting capabilities and deep sector knowledge. At the core of our claims service is TRUST - Transparency, Responsiveness, Understanding, Solution-driven thinking, and Technical expertise. This defines how we manage claims and build lasting relationships.
DE&amp;I at MS Amlin
We will build a workplace where all talent is welcomed, and everyone has the opportunity to influence how the business works. We have dedicated employee resource groups that support our Diversity, Equity, and Inclusion (DE&amp;I) goals.
MS Amlin is proud to be one of the founding partners of Lloyd&rsquo;s Inclusive Futures programme which aims to get more Black and ethnically diverse people into the insurance industry - supporting them all the way from the classroom to the boardroom. Visit this link (Inclusive Futures Impact Report) to find out more about the programme and its aims and achievements so far.
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Data Governance Lead (12 month FTC)

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