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Are you passionate about financial systems, data, and delivering meaningful insights? Do you enjoy working at the intersection of finance, technology, and business intelligence to drive better decision-making? If so, consider joining us as a Financial Performance & Systems Analyst at Reed in Partnership. This role plays a key part in supporting the finance function by maintaining and optimising financial planning systems, while delivering high-quality reporting and insights. Reporting to the Head of Financial Analysis, you will bridge finance, data, and technology—ensuring strong system performance, robust data integrity, and valuable business insights. Please note that internal applications close on the 11th June 2026. Who We Are Reed in Partnership delivers public services that positively transform lives. Our Employability Division supports individuals into sustainable work, while our central functions ensure the organisation operates effectively and efficiently. Within Finance, we are committed to providing clear, accurate, and insightful financial information that supports decision-making and drives performance. Our values—Fair, Open & Honest; Take Ownership; Work Together—are at the core of everything we do. Key Responsibilities Taking Ownership (Systems Management & Development) • Act as a key user and administrator for Workday Adaptive Planning, maintaining models, hierarchies, and data structures, • Support data integration between Workday (ERP), Snowflake, and reporting tools, • Take ownership of system performance, proactively identifying and resolving issues, • Support system upgrades, enhancements, and continuous improvement initiatives, • Liaise effectively with IT, data teams, and external vendors, • Drive improvements in reporting and planning processes through automation and better system utilisation, • Ensure strong data governance, controls, and reconciliation across multiple data sources, • Promote transparency and integrity through robust validation and documentation, • Improve efficiency and reduce manual processes through smarter system design, • Leverage data from Snowflake and other platforms to deliver integrated reporting, • Partner with FP&A, finance business partners, and wider stakeholders to understand business needs, • Translate requirements into effective reporting solutions and system enhancements, • Provide training and support to users of Adaptive Planning, Power BI, and reporting tools, • Communicate financial insights clearly, accurately, and with integrityFinancial Reporting & Analysis, • Develop and maintain dashboards and reports using Power BI and Workday Adaptive Planning, • Analyse financial performance, trends, and variances, delivering actionable insights, • Support budgeting, forecasting, and long-range planning processes, • Ensure reporting is consistent, transparent, and trusted across the organisationWhat’s in it for You?, • Competitive salary, • 25 days annual leave plus statutory bank holidays, • Reed Pension Scheme, • Award-winning Management & Leadership training, • Professional & Personal Development Fund, • Bi-annual pay reviews, • Opportunity to work with a modern finance tech stack (Workday, Adaptive Planning, Snowflake, Power BI), • A collaborative environment that values innovation, accountability, and teamwork This is an exciting opportunity to play a key role in enhancing finance systems and reporting capabilities, helping to drive better decision-making across the organisation. About You To succeed in this role, you will have: • Experience in financial reporting, FP&A, or management accounting, • Strong experience with Workday Adaptive Planning (or similar systems), • Experience working with Workday ERP data and structures, • Advanced Excel skills (including modelling and data manipulation), • Experience building dashboards and reports in Power BI, • Experience working with Snowflake or similar data platforms, • Strong analytical skills with a high level of accuracy and attention to detail, • Ability to take ownership and deliver high-quality outputs, • Excellent communication skills, with the ability to present insights clearlyDesirable Skills & Experience, • Knowledge of SQL or data querying tools, • Experience with system integrations and data pipelines, • Involvement in finance transformation or system implementation projects, • Professional qualification (CIMA, ACCA, ACA), or working towardsKey Competencies, • Acts with integrity and promotes fairness, openness, and honesty, • Takes ownership and accountability for systems, reporting, and deliverables, • Works collaboratively, building strong relationships across teams, • Strong analytical and problem-solving mindset, • Proactive, with a focus on continuous improvement, • Ability to manage multiple priorities effectively

Senior Data Engineer (Financial Services), LondonRate: up to £600 per day (Outside IR35)Length: 6 months inital, possibility of extension, starting June 2026. Working Pattern: 2 days on-site (Liverpool St.) per week. Opus are working with a leading financial services firm who're decommissioning their legacy on-prem data warehouse and migrating all critical workloads to Snowflake on AWS. They need a contract Senior Data Engineer to rebuild pipelines, refactor legacy ETL, and ensure a clean cutover for regulatory and analytics teams. You'll be joining an existing team of 3 Data Engineers and one Architect who're working on this project. Responsibilites: • Snowflake migration - Rebuild models, schemas, and ELT pipelines, • AWS data engineering - Glue, Lambda, S3, Step Functions, • Legacy decommissioning - Analyse ETL, lineage, dependencies, • Data reconciliation -Validate parity between old and new platformsRequirments:, • Strong Snowflake and AWS senior engineering experience, • Excellent Python and SQL, • Ideally, a background in financial services, • Experience migrating legacy data warehousesContact:Please reach out to Adam Akhtar at Opus Recruitment Solutions for more information!

If you need support in completing the application or if you require a different format of this document, please get in touch with at UKI.recruitment@tcs.com or call TCS London Office number 02031552100 / +44 204 520 2575 with the subject line: “Application Support Request”. Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. • This role will give exponential career growth as a Data and Analytics Business Development Manager, building strategic partnerships, accelerating revenue, shaping solutions, and leading transformation across manufacturing industries in UK The Role Manufacturing Data & Analytics Lead in UK Your responsibilities: • Serve as a strategic advisor to client stakeholders and technical teams., • Drive business development by identifying and pursuing opportunities to sell data analytics services to Chief Data Officers and other key decision-makers., • Develop and present compelling presentations to senior customer executives and stakeholders., • Work with customer to drive workshops and create data analytics charters and business cases, • Demand Creation: Work with customers to generate data analytics project opportunities, • Customer Advisory: Lead Data & Analytics Assessment, Strategy and Roadmap engagements and drive customer workshops for analytics use cases, • PreSales Leadership: Own stages of the presales cycle, RFI, RFP, and contribute to the development of solutions for presales, • Business Process Consulting: Organize and facilitate meetings for data gathering and data analysis based on understanding processes and outcomes related to business questions., • Business Systems Analysis: Interview clients and conduct research to gain an understanding of current systems and structures., • Technology Application: Determine functionality, design, and requirements for solutions that create value for clients technology preferences. Your Profile Essential skills/knowledge/experience: • Proven experience in a leadership role within data analytics., • Extensive experience with cloud data platforms (e.g., AWS, Azure, GCP, Snowflake, Databricks) and Lakehouse architecture., • Demonstrated ability to connect with customer business stakeholders to articulate business problem and approach for data analytics solutions, • Strong presentation and communication skills, with the ability to engage senior-level audiences., • Experience in the manufacturing industry., • Able to work with various levels of business organization to coordinate between stakeholders on Pre-sales activities, • Analyzing, understanding and documenting the business processes in detail where required to guide use case development, • Experience in manufacturing Industry; Provide functional expertise to projects, • Strong problem solving, quantitative and analytical abilities., • Strong ability to plan and manage multiple initiatives simultaneously. Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network. We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon. Diversity, Inclusion and Wellbeing Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998. We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role. As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role. Please email us at UKI.recruitment@tcs.com if you would like to opt in. If you are an applicant who needs any adjustments to the application process or interview, please contact us at UKI.recruitment@tcs.com with the subject line: “Adjustment Request” or call TCS London Office 02031552100 / +44 204 520 2575 to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process.

SENIOR DATA ENGINEER UK REMOTE £85,000 - £100,000 This is a rare opportunity to join a high growth, product led technology business at a pivotal stage of scale. You will play a hands on role shaping a modern data platform that supports real time decision making, working with large volumes of live data in a highly collaborative engineering environment. THE COMPANY They are a UK based digital business that has grown rapidly over the past decade and recently secured significant investment to accelerate their expansion. Known for a mobile first product and a strong focus on user experience, they have built a highly engaged customer base and strong brand recognition. As the business continues to scale, data sits at the heart of their growth strategy to support its fast user growth. THE ROLE You will join a data function and work closely with engineering leadership to evolve the data platform end to end. The role is highly hands on and focused on building robust, scalable solutions. • Designing and building data pipelines from application layer through to the warehouse, • Working with high volume, near real time data streams, • Developing and maintaining data models to support analytics and product use cases, • Improving engineering standards, testing practices and production readiness, • Contributing to the setup and management of multiple environments, including staging and production SKILLS AND EXPERIENCE Must have: • Strong commercial experience in data engineering with previous experience in software development/DevOps., • Previous experience or understanding of data modelling, • Strong Python, SQL and Terraform skills, • AWS services (GCP considered) Nice to have: • CI/CD, • Snowflake, • Dbt, • Iceberg, • Kimball/Datavault, • Git, • Dagster BENEFITS • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand, • Exposure to complex, real world data challenges at scale, • Salary: up to £100,000, • Remote working Please note you must be UK based, and this role does NOT offer sponsorship.

Senior Data Engineer Remote UK, £90,000 to £100,000 This is an opportunity to join a fast scaling, digital first consumer platform at a pivotal point in its data journey. They are investing heavily in their data infrastructure and are building a high performing, software led data engineering team to support real time, high volume analytics across the business. You will have genuine influence over how data engineering is done, working on modern tooling and best practice from day one. The Company They are a UK based, consumer facing digital platform operating in a highly regulated online environment. Since launching less than a decade ago, the business has grown rapidly, supported by significant recent funding and a strong focus on product, user experience and responsible engagement. Data is central to their growth strategy, and they are building a modern, scalable analytics platform to support this ambition. The team operates fully remotely across the UK and Europe. The Role • Design, build and own end to end data pipelines supporting real time and batch analytics, • Work on high volume, low latency data use cases with a strong focus on reliability and scalability, • Develop production grade data solutions using software engineering best practices such as CI/CD, testing and version control, • Contribute to the design of data models and analytics layers used across the business, • Help implement and mature staging, testing and deployment processes across the data platform, • Collaborate closely with analytics, product and engineering teams to enable better decision making Your Skills and Experience • Strong commercial experience as a data engineer in modern, cloud based environments, • Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks, • Experience building and maintaining data pipelines in AWS using services such as S3, Glue or EKS, • Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg, • Familiarity with orchestration tools such as Dagster or Airflow, • Strong understanding of data modelling concepts and analytics best practice, • A software engineering mindset, including Git, testing and CI/CD workflows What They Offer • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand, • Exposure to complex, real world data challenges at scale How to Apply If you are a Senior Data Engineer looking to make a real impact in a growing, product led business, apply now to learn more about the opportunity.

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: • 21 Google Cloud Partner of the Year awards in the past 10 years, • 3 AWS AI/ML Partner of the Year awards, • 3 NVIDIA Partner of the Year awards, • 3 Snowflake Partner of the Year awards, • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: or Role: Cloud Data Architect (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) What you will do: • We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS., • This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs., • The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning., • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift., • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss., • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems., • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR., • Architect and implement scalable, secure, and highly available data platforms on AWS., • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable)., • Optimize performance of source and target systems pre- and post-migration., • Manage and govern S3-based data lakes and metadata using Glue Data Catalog., • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization., • Implement monitoring, rollback, and failure recovery mechanisms., • Ensure adherence to security, governance, and compliance standards. Basic Qualifications (BQs): • 8+ years of experience in database migration and data engineering., • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud)., • Experience designing and implementing data validation and reconciliation frameworks., • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent)., • Deep proficiency in SQL and data modeling concepts., • Experience working with S3-based data lakes and Glue Data Catalog., • Strong understanding of CDC, transaction consistency, and migration cutover strategies., • Hands-on experience with performance tuning, schema design, and query optimization., • Proficiency in Python/PySpark and scripting (Shell/Python)., • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases., • Strong hands-on expertise with:, • AWS DMS (Database Migration Service)., • AWS SCT (Schema Conversion Tool)., • AWS Glue (ETL & data integration)., • Amazon Redshift (data warehousing). Other Qualifications (OQs): • Exposure to real-time replication tools (e.g., GoldenGate or equivalent)., • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks., • Familiarity with Data Mesh and cross-account data sharing architectures., • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.)., • Knowledge of Infrastructure as Code (Terraform / CloudFormation)., • AWS Certifications (Solutions Architect / Data Engineer)., • Experience in mentoring teams and leading large-scale migration programs. What is in it for you: • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale., • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges., • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents., • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

Senior Data Engineer (Contract) Remote (UK) 10 months £600 - £650 per day OUTSIDE IR35 A leading data consultancy is partnering with a large enterprise organisation to deliver a major cloud data platform programme. As part of this transformation, we are looking to bring in an experienced Snowflake Technical Lead to take full ownership of a key delivery workstream. This is a genuinely hands-on leadership role. It is best suited to an engineer who enjoys designing and building production-grade data solutions, rather than someone who wants to operate purely in architecture review or governance discussions. You will be trusted with real autonomy over implementation decisions while remaining clearly accountable for delivery outcomes Project Context This is a decommissioning and migration project. The organisation is retiring a legacy data setup and rebuilding its pipelines on Snowflake. The work spans the full picture, with a meaningful element of data modelling and design as pipelines are re-architected for the new platform. The legacy environment being dismantled is built on WhereScape RED and SQL Server. A core part of the project involves understanding that existing setup, unpicking how it works, and re-implementing the equivalent logic cleanly within Snowflake and dbt. The Role You will lead the technical delivery of a data pipeline workstream within Snowflake, operating as part of a wider transformation programme that is modernising the organisation's core data capabilities. You will own your workstream end-to-end — from analysing the legacy implementation, through data modelling and design, build, validation, deployment, and operational hardening, while working closely with delivery leads and stakeholders to keep momentum across the programme. Key Responsibilities • Analyse the legacy environment, picking apart the existing WhereScape RED and SQL Server implementation to understand current data flows and logic ahead of migration., • Design and build Snowflake data pipelines end-to-end, rebuilding legacy pipelines and taking source data through to consumable, well-modelled outputs., • Carry out data modelling and design, re-architecting data structures for Snowflake rather than simply lifting and shifting the legacy approach., • Implement transformation logic using dbt, applying sound modelling practices, modular design, and maintainable, well-documented code, • Apply validation rules and data quality controls to ensure the accuracy, completeness, and reliability of data moving through the pipeline, • Design logging, monitoring, and failure-handling approaches so that pipelines are observable, resilient, and straightforward to operate and troubleshoot, • Support deployment and CI/CD across environments, helping to ensure changes are released in a controlled, repeatable, and low-risk manner, • Work closely with delivery leads and stakeholders to communicate progress, surface risks early, and keep the workstream aligned with programme priorities, • Make and own implementation decisions, exercising technical judgement while remaining accountable for the quality and timeliness of deliver Essential Skills and Experience • Strong Snowflake engineering experience, including hands-on design and build of production workloads, • Solid dbt experience and advanced SQL skills, with a focus on clean, maintainable transformation logic., • Solid data modelling and design experience, with the ability to re-architect data structures rather than simply replicate a legacy design., • A proven track record of delivering production data pipelines into live environments., • Comfortable operating as a technical lead while remaining hands-on with the build — owning delivery without stepping away from the code., • Able to work independently and make confident decisions within a fast-moving programme., • Strong communication skills, with the ability to engage effectively with both technical and non-technical stakeholders. Desirable Experience • Experience with WhereScape RED and SQL Server, particularly the ability to pick apart and reverse-engineer an existing legacy ETL setup. This is genuinely a nice-to-have rather than a requirement — a capable engineer can pick up the legacy tooling on the job, so strong core engineering skills matter more., • Experience working within insurance or other regulated environments. This is beneficial but not essential — strong engineering capability is the priority., • Familiarity with cloud data platform programmes and large-scale migration or decommissioning delivery., • Exposure to data governance, security, or compliance considerations within a regulated setting. Engagement Details • IR35 status: Outside IR35, • Working pattern: Predominantly remote with occasional on-site presence as required by the programme, • Contract length: Initial contract with strong extension potential, dependent on programme progress and performance, • Availability: Candidates who can start early July are strongly preferred This opportunity is ideal for a senior data engineer or technical lead who enjoys owning delivery, solving real engineering problems, and seeing a workstream through from design to a robust, operational outcome. If you take pride in building solutions and want the autonomy to do it well within a high-impact programme, this role is for you. To be considered, please click apply now.

Job Title:Snowflake/Dataops Data Engineer Technical Lead Department:Delivery Reporting to:Professional Services Manager About the role We are looking for a Client Technical Lead to join our delivery team ensure the technical standards and project approach are implemented in the best possible way. You will be providing daily supervision and mentoring of one or more the technical project team(s). This includes reviewing, maintaining or creating a System Architecture and maintaining close relationships with the Project Manager and Business Development and Account Manager. You will be contributing to Agile User-Story and Task grooming, estimations and sprint planning, technical delivery and retrospective reviews both commonly with and without direct Customer involvement. You will be drawing upon and contributing to Datalytyx General and Technology specific Delivery Guides to ensure that best practices approaches are maintained and common project dangers are avoided. You will be working within the 2-week sprints to get the best work from yourself and the technical team members and be committed to completing shared multi-client sprint deliverables. You will be proactively working to know your client’s business and technical needs and be looking for potential additional scope and opportunities that can become future opportunities to make Datalytyx and our Customers successful in our shared relationship. You spot potential engagement issues or blockers early on in planning and sprint execution and help our Project Manager(s) define mitigation steps to ensure joint delivery success. You’ll pro-actively work to build up knowledge of the business, including how our commercial and production teams work. Of course to get to know your colleagues and customers well, you’ll occasionally travel between our two offices and to customer sites. Who are we looking for We are looking for someone who is keen to join the team and learn about what we do. Someone comfortable working with technical staff and customer staff and be confident gathering and representing technical requirements and our resulting deliverables. You will be someone who thrives on working as part of a team to continuously improve quality, demonstrate an eye for detail and be a completer-finisher. We are looking for someone who the technical team can rely upon, demonstrates a positive can-do attitude. You might be a technical consultant who can grow within the role on simple client projects and learn demonstrate the above attributes on a daily basis. You will have a keen eye for the technology used and shape of a client engagement. You will be able to spot potential “broken windows” early on in client technical engagements. You enjoy making a difference to the products and integrations our customers are using. You will have a solid grounding in Computer Science, either from a formal education background or through experience in your career. You will have experience of Big Data Cloud technology, cloud and project/issue tracking systems (we use Jira). What you’ll be doing • Working with DataOps.live and Snowflake to deliver amazing analytic data solutions, • Work on agile projects, looking to deliver business value fast, • Reviewing, maintaining or creating a System Architecture, • Evangelise and contribute to Snowflake, Dataops, DBT best practice, • Daily supervision and mentoring of one or more the technical project team(s), • Contribute and participate in 4-eyes code promotion reviews of GIT Merge Requests, • Identifying and tracking Tasks to manage and resolve technical debt in the solution, • Maintaining close relationships with the Project Manager and Business Development and Account Manager, • Contributing to Agile User-Story and Task backlog grooming, • Participate and lead Team estimations, • Sprint planning, • Retrospective reviews Working with the Technical Data Engineers Technical Team deliverables and leading by example: • Creating project from templates and implementing 4-layer modern data architecture ELT data solutions, • Deliver CI/CD data pipelines, implementing a layered ELT data architecture, • Ingesting data from external sources such as Relational Databases, files, Kafka and other sources, • Writing data processing routines with languages such as python, • Collaborate with data source Subject Matter Experts (SME) to discover and understand the data, • Model and transform data using SQL and DBT, • Collaborate with colleagues in peer code reviews and pair programming sessions, • Creating example dashboards using visualisation/BI tools to enable customers to enhance and self-serve further visualisations, • Support and enable Data Science team(s), • Review and resolve data pipeline failures and data test failures, • Optimise and improve data pipelines, • Utilise Snowflake best practices and features to optimise credit usage and performance, • Work with Data Consumers to optimise queries and improve consumption of data Technical skills • A background in SQL and principles of data warehousing, • Snowflake design and engineering experience or certification in Snowpro Core, • Experience in data modelling and ELT, • Analytical and Structured approach to work, • A team player able to perform peer code reviews and provide constructive mentoring, • 5 years’ experience within Data & Analytics and DBT, • Desirable, • Experience of ETL design and dev, including Test-Driven development, • Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling), • Experience of programming languages including Object-Oriented language (.Net. Java, C, Python), • GIT experience, • Good knowledge of DevOps / DataOps principles with working knowledge of Docker and Linux, • Hands on experience with DBT, • Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, • Expertise in deploying Snowflake features such as data sharing, • Experience with data security and data access controls and design, • Experience with AWS or Azure data storage and management technologies such as S3 and ADLS, • A track record of achievement and recognition within the IT industry as evidenced by significant promotion since leaving University, • A strong academic track record including the achievement of a good honours degree or equivalent, • Certification in Snowpro Advanced Architect or Snowpro Advanced Data Engineer

Our client is a fast-growing, venture-backed technology company transforming a large, complex industry through artificial intelligence and modern data infrastructure. We’re building AI-powered products that combine advanced automation with human expertise to improve operational workflows, reduce friction, and create better customer experiences at scale. As an early-stage team, we’re focused on solving meaningful challenges using modern technology and creating a culture where ownership, innovation, and impact matter. We’re looking for a Data Engineer to build and scale the data foundations that power our platform, customer experience, analytics, and AI systems. *Fully Remote - Salary Dependant on Experience (£80,000-£120,000) The Role: As a Data Engineer, you'll design and operate the infrastructure that moves, transforms, and structures data across our systems. You'll work across ingestion pipelines, transformation layers, monitoring, customer onboarding, and analytics while partnering closely with product, engineering, and AI teams. This is a hands-on role with meaningful ownership and the opportunity to influence how data architecture evolves as the business scales. Responsibilities: • Design and build reliable end-to-end data pipelines connecting customer systems, internal platforms, and AI-generated outputs, • Create and maintain transformation layers that convert raw data into trusted, documented datasets, • Develop dashboards and analytics solutions for both internal teams and customer-facing insights, • Implement monitoring, alerting, and data quality checks to proactively identify issues, • Lead customer data onboarding by mapping datasets and building scalable integration processes, • Improve performance and optimize warehouse costs as data volumes grow, • Collaborate with backend, AI, and product teams to align operational and analytical systems, • Establish best practices for data modeling, testing, documentation, schema management, and code review, • Support and improve AI-driven workflows and data capabilitie Requirements: • 5+ years of experience in data engineering within production environments, • Strong Python and SQL skills, • Experience with workflow orchestration tools such as Airflow, Dagster, Prefect, or similar, • Hands-on experience with transformation frameworks such as dbt or Spark, • Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks, • Strong understanding of data modeling principles across analytical and operational systems, • Experience with monitoring and data quality tooling, • Familiarity with CI/CD practices and testing for data workflows, • Comfortable working with emerging technologies, including AI-assisted development tools What We Offer: • Flexible working arrangements, • Competitive compensation and potential equity participation, • Modern tools and equipment, • Opportunities for rapid growth and meaningful impact, • Collaborative and highly talented team environment

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters. We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: • 21 Google Cloud Partner of the Year awards in the past 10 years, • 3 AWS AI/ML Partner of the Year awards, • 3 NVIDIA Partner of the Year awards, • 3 Snowflake Partner of the Year awards, • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: or Role: MLOps Architect - AWS Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) What you will do: • We are seeking an experienced MLOps/AIOps Architect who can drive end-to-end implementation of MLOps strategy and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows., • The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, monitoring, automation and production-grade scalability patterns. Key Responsibilities: • Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap., • Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation., • Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.)., • Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems., • Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks., • Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems., • Define and implement standards for model deployment, monitoring, governance, and automation to ensure production-grade reliability and scalability., • Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions., • Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools., • Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms., • Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. Basic Qualifications (BQs): • Expierence working in ML/AI engineering or MLOps roles with strong architecture exposure., • Strong experience in leading enterprise grade MLOps strategy and its execution., • Proven experience in implementing the adoption of enterprise-grade MLOps platforms with client data science teams., • Proven leadership in defining and executing enterprise MLOps strategy., • Demonstrated success in driving the adoption of enterprise-grade MLOps platforms with client data science teams., • Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)., • Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon., • Deep understanding of model lifecycle management (feature engineering->training → registry → deployment → monitoring)., • Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks., • Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance., • Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor)., • Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment., • Experience working on Infrastructure as Code (IaC) tools and CI/CD pipelines., • Experience with Kubernetes based development., • Experience with feature engineering pipelines and Feature Store management., • Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility., • Hands-on experience with AWS Bedrock and Agentcore service., • Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana., • Strong foundation in Python and cloud-native development patterns., • Solid understanding of security best practices, IAM, secrets management, and artifact governance. Other Qualifications (OQs): • Experience with vector databases, RAG pipelines, or multi-agent AI systems., • Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK)., • Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments., • Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry)., • SQL and data transformation experience using Snowflake, Databricks, Spark., • Ability to translate business goals into scalable AI/ML platform designs., • Strong communication and cross-team collaboration skills., • Ability to guide engineering teams through technical uncertainty and design choices. What is in it for you: • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale., • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges., • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents., • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: • 21 Google Cloud Partner of the Year awards in the past 10 years, • 3 AWS AI/ML Partner of the Year awards, • 3 NVIDIA Partner of the Year awards, • 3 Snowflake Partner of the Year awards, • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: or Role: Senior Cloud Migration Engineer Experience Level: 7+ years Employment type: Full Time Location: Remote (UK) What you will do: As a Senior Cloud Migration Engineer at Quantiphi, you will be instrumental in our Platform Engineering team, leading the delivery of advanced solutions in Application Development, Platform Engineering, Data Engineering, Analytics, and Machine Learning for our clients. This role requires experience in workload migration from on-premise datacenter environments to AWS, enabling clients to leverage the full potential of cloud capabilities. Basic Qualifications (BQs): Cloud Migration Expertise: • Understanding of different Migration approaches (Rs) with recent experience., • Experience with on-prem VMware/other platform based Virtual Machine Lift and Shift (REHOST) migration to AWS EC2 instance based architectures., • Previous work experience with tools like Cloud Endure, Double-Take, AWS Migration Hub, AWS Application Migration Service (MGN), AWS Server Migration Service (SMS), and AWS Database Migration Service (DMS). Good to have understanding of Database servers., • Expertise in AWS services, including EC2, S3, auto-scaling, Landing Zone, and Control Tower., • Proficiency in using AWS Migration Evaluator and Portfolio Assessment tools to analyze migration strategies., • Well-versed in service-oriented architecture and cloud-based web services architecture, design patterns, and frameworks., • Good understanding of Windows or Linux OS. Experience with troubleshooting Linux/Windows OS issues while migrating. Good to have handled Database server migrations also., • Strong knowledge of cloud-related services such as compute, storage, network, and messaging (e.g., SNS, SQS). Networking Skills: • Proficiency in setting up and managing hybrid cloud networks, including VPN and AWS Direct Connect., • Experience with configuring Application Load Balancers (ALB) for effective traffic management. Automation and Deployment: • Proficient in scripting languages such as Python and Bash for automating migration tasks and processes., • Familiarity with Infrastructure as Code (IaC) tools, including AWS CloudFormation and Terraform., • Strong understanding of IaC practices using tools like Terraform, CDK, and CloudFormation Templates., • Experience in automating development and testing processes through CI/CD pipelines using tools like Git, Jenkins, SonarQube, Artifactory, and Docker containers. Security and Compliance: • Strong understanding of AWS security best practices, including setting up IAM roles and policies for secure access., • Knowledge of compliance requirements relevant to data handling and migration processes. Configuration Management / Scripting and Programming: • Hands-on experience with scripting and programming languages such as Bash, Python, Core Java, and Scala., • Previous work experience on Configuration management and using tools like Ansible, Chef, Puppet, AWS SSM, etc. Other Qualifications (OQs): • Familiarity on-prem VMware ecosystem such as vSphere, vCenter, ESX, NSX., • Familiarity with vMotion, VM Export/Import and integrating with AWS., • Skills in monitoring cloud infrastructure and application performance using tools like Amazon CloudWatch., • Experience in optimizing database queries and application performance following migration., • Relevant certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer)., • Experience with relational SQL, NoSQL databases (e.g., PostgreSQL, MongoDB, Redis)., • Ability to build and manage container hosting platforms using Docker, Kubernetes, AWS EKS., • Familiarity with systems management and automation tools like Puppet, Chef, and Ansible., • Experience working in an Agile and DevOps environment. What is in it for you: • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale., • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges., • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents., • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

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