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About Quantiphi Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We’ve been recognized with • 17x Google Cloud Partner of the Year awards in the last 8 years., • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • 2x Snowflake Partner of the Year awards., • We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit:______ or___. Role: Cloud Data Architect Experience Level: 8-10+ years Work Location: United Kingdom (Remote) Job Overview: 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 Required Skills: • 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), • Strong hands-on expertise with: AWS DMS (Database Migration Service), AWS SCT (Schema Conversion Tool), AWS Glue (ETL & data integration), Amazon Redshift (data warehousing), • 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 Nice to Have: • 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’s in it for YOU at Quantiphi: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Data Engineer UK, Fully Remote, £65,000 to £70,000 This is an opportunity to join a fast-growing digital marketplace at a pivotal stage in its data journey. The business is investing heavily in its data platform and is looking for a Data Engineer to take ownership of a modern stack, bridge technical and commercial needs, and play a key role in shaping how data is used across the organisation. The Company They are a VC-backed technology business operating a two-sided online marketplace within the education sector. With strong growth and an expanding customer base, data has become central to improving acquisition, understanding user journeys, and delivering clearer commercial insight. The data function is still maturing, offering a rare chance to influence foundations, standards, and ways of working from an early stage. The Role You will be the first key Data Engineer hired in a new phase of the data team, taking ownership of an existing cloud-based data platform following a consultant handover. Working closely with analytics and senior stakeholders, you will help turn fragmented data into reliable, actionable insight. Responsibilities include: • Owning and developing the data platform on GCP, ensuring reliability and scalability, • Building and maintaining robust ingestion pipelines using modern ELT tools, • Designing and maintaining high-quality data models to support analytics and self-serve BI, • Partnering with BI and commercial teams to translate business needs into technical solutions, • Supporting data governance, testing, and documentation across the warehouse, • Strong data engineering fundamentals within a modern cloud data stack, • Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar, • Solid data modelling capability for analytics and reporting use cases, • Hands-on experience with infrastructure as code, particularly Terraform, • Comfortable working in scaling environments with evolving data maturity, • Able to communicate clearly with both technical and non-technical stakeholders, • High autonomy and the chance to shape a growing data platform, • Clear scope for progression as the data function expands If you are a Data Engineer looking to own a modern data stack and make a tangible impact in a growing tech business, apply now to learn more.

WARNING: for this role candidates who require company support to legally live and work in the UK cannot be considered. Must be eligible for Baseline Personnel Security Standard (BPSS) Are you passionate about driving digital transformation and delivering impactful ServiceNow solutions? We’re looking for a ServiceNow Sales Lead / Senior Consultant to join our growing Digital Customer Experience team. This is a fantastic opportunity to combine sales, consulting, and technical expertise to shape innovative solutions for leading organisations. 🔹 What You’ll Be Doing • Drive sales and business development for ServiceNow solutions, identifying and converting new opportunities, • Lead the end-to-end sales process, from pre-sales through to contract negotiation and signing, • Collaborate with cross-functional teams to design and present tailored ServiceNow solutions, • Build strong relationships with C-level executives and senior stakeholders, • Act as a trusted advisor, aligning client needs with innovative, value-driven solutions, • Stay ahead of market trends to help shape Capgemini’s ServiceNow strategy and offerings, • Partner with ServiceNow leadership and ecosystem partners to strengthen collaboration 🔹 What We’re Looking For ✅ ServiceNow Expertise Strong knowledge of the ServiceNow platform, including: • ITSM, ITOM, CSM, • Experience with HRSD applications is essential, • Employee Service Centre, • Case & Knowledge Management, • Performance Analytics ✅ Business & Industry Knowledge • Understanding of employee experience and HR processes, • Experience in customer experience (CX) transformation ✅ Technical & Solution Skills • Integration, data migration, and platform customisation, • Workflow automation and scripting, • Ability to translate business requirements into scalable solutions ✅ Consulting & Sales Capability • Experience supporting or leading pre-sales, demos, and proposals, • Strong problem-solving and analytical thinking, • Ability to articulate technical solutions to non-technical stakeholders ✅ Stakeholder & Change Management • Confidence engaging with senior executives and cross-functional teams, • Experience driving adoption and managing organisational change Permanent (B2B contract is not available) UK-wide role (open to travel within the UK if requested only) There will be 2 stages hiring process Salary: up to £100,000 Gross/a DOE Apply here if you would like to join a professional community of experts, who have got your back and will support you, every step of the way.

Analytics Engineer UK, Fully Remote, £65,000 to £70,000 This is an opportunity to join a fast-growing digital marketplace at a pivotal stage in its data journey. The business is investing heavily in its data platform and is looking for an Analytics Engineer to take ownership of a modern stack, bridge technical and commercial needs, and play a key role in shaping how data is used across the organisation. The Company They are a VC-backed technology business operating a two-sided online marketplace within the education sector. With strong growth and an expanding customer base, data has become central to improving acquisition, understanding user journeys, and delivering clearer commercial insight. The data function is still maturing, offering a rare chance to influence foundations, standards, and ways of working from an early stage. The Role You will be the first key Data Analytics Engineer hired in a new phase of the data team, taking ownership of an existing cloud-based data platform following a consultant handover. Working closely with analytics and senior stakeholders, you will help turn fragmented data into reliable, actionable insight. Responsibilities include: • Owning and developing the data platform on GCP, ensuring reliability and scalability, • Building and maintaining robust ingestion pipelines using modern ELT tools, • Designing and maintaining high-quality data models to support analytics and self-serve BI, • Partnering with BI and commercial teams to translate business needs into technical solutions, • Supporting data governance, testing, and documentation across the warehouse, • Strong data and analytics engineering fundamentals within a modern cloud data stack, • Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar, • Solid data modelling capability for analytics and reporting use cases, • Hands-on experience with infrastructure as code, particularly Terraform, • Comfortable working in scaling environments with evolving data maturity, • Able to communicate clearly with both technical and non-technical stakeholders, • High autonomy and the chance to shape a growing data platform, • Clear scope for progression as the data function expands If you are an Analytics Engineer looking to own a modern data stack and make a tangible impact in a growing tech business, apply now to learn more.

Purview Data Governance Consultant Our Data & AI team is made up of curious, client-focused professionals who help organisations build trusted, governed, high-quality data solutions. We’re looking for a Purview Data Governance Consultant with strong data governance and data management experience (including data quality and MDM) and hands-on technical skills from a data analyst or data engineer background, with an appreciation of broader cloud architecture and networking. If you’re passionate about helping organisations understand, trust, and govern their data—and you enjoy working at the intersection of governance, platforms, and delivery—we’d love to talk. Come join us As a member of Avanade’s Data & AI practice, you’ll work with clients to design, implement, and embed modern data governance capabilities across Microsoft Purview, cloud data platforms, and analytics ecosystems. You’ll play a hands-on role in helping organisations establish clear data ownership, classification, lineage, and policy enforcement — turning governance from theory into something that genuinely enables analytics and AI. This role is ideal for consultants who are both governance-minded and technically capable, able to work credibly with data engineers, platform teams, and business stakeholders alike. Together we do what matters. What you’ll do • Design and implement data governance solutions using Microsoft Purview Data Governance, including cataloguing, classification, lineage, and domain-based governance models, • Use governance to enable data value creation, discoverability, secure access, and responsible data use, • Work with clients to define data ownership, stewardship, policies, and operating models aligned to business and regulatory needs, • Configure and integrate Purview with Azure data platforms, Microsoft Fabric, Power BI, Databricks, other data sources, and MDM tools, ensuring governance is embedded within delivery pipelines, • Support the implementation and governance of Databricks Unity Catalog, aligning technical controls with organisational data governance objectives, • Analyse data platforms and pipelines to assess metadata coverage, lineage, data quality signals, and policy enforcement, • Collaborate closely with business and technical stakeholders to ensure governance and data quality are practical, usable, and automated wherever possible, • Translate governance concepts into clear, actionable guidance for both technical and non-technical stakeholders, • Help clients move from ad hoc or tool-led governance to sustainable, product-oriented, domain-aligned models, • Contribute to the development of Avanade accelerators, patterns, and thought leadership in data governance and trust Skills and experience • Proven experience as a Data Governance Consultant, Data Analyst, Data Engineer, or similar role within data or analytics programmes, • Hands-on experience with Microsoft Purview Data Governance, including cataloguing, classification, lineage, and policy concepts, • Experience working with or implementing Databricks Unity Catalog, • Strong understanding of modern data platforms and architectures, ideally within Microsoft and Databricks ecosystems, • Practical technical skills in SQL, Python, and data engineering / analytics tooling, enabling effective collaboration with delivery teams, • Experience in a consulting or client-facing environment, engaging stakeholders with differing priorities, • Ability to explain governance concepts clearly and pragmatically, focusing on enablement rather than control, • Experience with technologies such as Azure, Databricks, Microsoft Fabric, Power BI, and data integration tools is advantageous About you Characteristics that set you up for success in this role include: • Pragmatic and outcome-focused, with a desire to make data governance genuinely useful, • Comfortable working across governance, data engineering, and analytics communities, • Curious about how organisations use (and misuse) data, and how better governance can unlock value, • Confident working in uncertain or evolving data landscapes, • Collaborative, supportive, and able to influence without authority, • Keen to learn and stay current with emerging approaches to data trust, governance, and AI readiness Enjoy your career Some of the best things about working at Avanade: • Opportunity to work for Microsoft’s Global Alliance Partner of the Year (20 times), • A minimum of 80 hours per year dedicated to learning, certifications, and professional development, • Access to global Data & AI communities, accelerators, and subject-matter experts, • The chance to work on complex, high-impact initiatives across data governance, analytics, and AI, • Clear and supported career progression across Consultant and Senior Consultant levels Find out more about some of our benefits ___. A great place to work As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You’ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It’s all here, so take a closer look! We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our ___ page

As an AI Engineer at Avanade, you will design, build, and deliver advanced agentic AI solutions using the latest Microsoft technologies. Working directly with clients, you will help solve complex business problems by applying strong engineering practices, deep Microsoft platform expertise, and a pragmatic approach to delivering measurable outcomes. This is a hands-on, client-facing engineering role, combining AI engineering, solution design, and delivery excellence. You will work as part of multi-disciplinary teams to translate ambiguity into secure, scalable, and production-ready AI solutions. Role Responsibilities • Collaborate with clients to understand business challenges and identify opportunities where agentic AI can drive meaningful value., • Design, develop, and deploy AI agents using the latest Microsoft technologies (including Microsoft Copilot Studio, Azure AI Foundry, and supporting Azure AI and Power Platform services)., • Integrate AI solutions with enterprise systems, data sources, and workflows using Microsoft Power Platform and Azure services., • Contribute to solution and technical design, ensuring alignment with security, governance, scalability, and operational standards., • Participate in client workshops, technical discussions, and solution shaping sessions., • Support pre-sales activities when required through technical input, solution design, and proof-of-concept development., • Develop reusable assets, patterns, and accelerators that strengthen Avanade’s AI and automation capabilities., • Stay current with emerging Microsoft AI technologies and contribute to internal AI & Data communities of practice. Required Skills and Experience • Hands-on experience delivering solutions using Microsoft Copilot Studio., • Microsoft certifications in AI, Power Platform, or Azure (desirable)., • Awareness of governance, security, and responsible AI considerations in enterprise environments., • Experience working in consulting or professional services organisations., • Familiarity with Azure services commonly used in AI solutions, such as Azure OpenAI, Functions, Logic Apps, and API Management., • Experience with Microsoft Power Platform (Power Automate, Power Apps, Dataverse)., • Experience working with Azure AI Foundry or equivalent AI development capabilities on Azure. Preferred Skills and Experience • Ability to clearly communicate technical concepts to both technical and non-technical stakeholders., • Strong engineering mindset with the ability to build, test, deploy, and support production-grade solutions., • Understanding of agentic AI concepts, orchestration patterns, and multi-agent solutions., • Experience designing and delivering AI-driven or automation solutions in a client-facing environment., • Strong expertise in prompt engineering, including optimisation, testing, evaluation, and guardrail design. Enjoy your career Some of the best things about working at Avanade • Opportunity to work for Microsoft’s Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications), • Access to global Data & AI communities, accelerators, and subject‑matter experts, • The chance to work on complex, high‑impact initiatives across data governance, analytics, and AI, • Clear and supported career progression across Consultant and Senior Consultant levels Find out more about some of our benefits ___. A great place to work As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You’ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It’s all here, so take a closer look! We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our ___ page. Create a future for our people that focuses on • Expanding your thinking • Experimenting courageously • Learning and pivoting Inspire greatness in our people by • Empowering every voice • Encouraging boldness • Celebrating progress Accelerate the impact of our people by • Amazing the client • Prioritizing what matters • Acting as one Learn more To learn more about the types of projects our Data Engineering team works on check out these case studies: Interested in knowing what’s going on inside Avanade? Check out our blogs:

About Valcon We are a European powerhouse in data and Al-driven business transformation. We combine deep expertise in data and Al with our heritage in operational excellence, failsafe delivery and organisational change. We don’t just advise – we implement and deliver sustainable business transformation as a trusted partner to Europe’s leading organisations. Backed by private equity, Valcon has brought together leading firms to form one of Europe’s fastest-growing consultancies. In the UK, we’re scaling quickly, while maintaining a collaborative, hands-on, and down-to-earth culture. Purpose of the Role The Data Strategy & Advisory consultant works as a leader in the Data practice. They evaluate and advise clients on data and AI strategies, translating these into practical delivery with tangible results. They develop strong client relationships, becoming the trusted data and AI advisor to C-level stakeholders. As a thought leader, they develop the Data Strategy & Advisory practice creating and promoting innovative service offerings to attract new business, mentoring and inspire Valconeers to achieve their potential. Key Responsibilities • Stakeholder Collaboration & Change Management: engage and influence stakeholders from C-suite to frontline to achieve buy-in to approaches and drive cultural change., • Capability Assessment & Roadmap: assess client data and AI capabilities, identify gaps, and develop a practical improvement roadmap., • Strategy Development: formulate innovative and transformative data and AI strategies, aligned to business objectives, that excite and energise clients., • Operating Model Design: design and implement effective data and AI operating models, with clear reporting structures, governance processes, capabilities, roles and responsibilities and the necessary skills for data and AI teams to thrive., • Value Realisation & Performance Metrics: create the business case, define collective goals and Key Performance Indicators (KPIs) that measure success of data and AI initiatives, ensuring value for money and sustainable investment., • Architecture & Technology Guidance: guide architectural design to utilise data and AI effectively, including overseeing appropriate selection of data and AI technology., • Practice Development: develop new go to market opportunities and innovative data and AI offerings as a thought leader, mentor and inspire Valconeers. Experience • Experience: 10+ years proven experience in data and AI, 5+ in leadership positions, comprising of strategy development and execution, operating model design and implementation., • Communication & Leadership: good presentation and influencing skills to engage with diverse stakeholders and lead cross-functional teams effectively., • Strategic & Analytical Thinking: able to analyse and process complex information quickly, solve problems, and align data and AI initiatives with overarching business strategies., • Adaptability: adapts and responds to the changing needs of the client and the evolving data, AI and technology landscape., • Technical Knowledge: Strong understanding of technical data and AI capabilities and concepts, including, data platforms, data architecture, data engineering, business intelligence, data science and analytics., • Education: A bachelor's or master's degree in a relevant field such as data science, computer science, statistics, or business administration., • Knowledge of regulations and standards affecting data & AI Desirable Experience • Knowledge or experience of implementing data management and architectural frameworks, • Active security clearance or eligible to be security cleared Keywords Data & AI Strategy, Data & AI Advisory, Operating Model Design, Stakeholder Engagement, Capability Assessment Location • United Kingdom

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, • 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