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Job Description This is an exciting opportunity to join a dynamic and experienced Data Engineering team at AJ Bell, contributing significantly to the development of our state-of-the-art data platform using cutting-edge technology. As a Data Engineer, you will play a pivotal role in designing, building, maintaining, and evolving our data infrastructure, ensuring it meets the growing needs of our business. You'll engage in end-to-end development, collaborate closely with key stakeholders and internal customers, and empower the organisation by enabling informed, data-driven decision-making. What does the job involve? The key responsibilities of the role are as follows: • Collaborating with stakeholders to identify and refine data requirements, ensuring data is accessibility and alignment with business needs., • Developing Data Warehousing solutions., • Automating extract, load and transform (ELT) pipelines that follow modern CI/CD practices., • Data Integration Design – Ensure development is scalable, efficient and future-proof., • Data Modelling – Producing clear data models where necessary., • Maintaining and continuously enhancing the data platform., • Provisioning data from various sources., • Create automated tests to ensure quality and integrity of data., • Ensure data is compliant with AJ Bell’s Data Governance and Data Classification policies., • Maintain data dictionary., • Maintain business level data model., • Recommending and introducing new technology where needed. Core: • Cloud data platforms (e.g. Snowflake, BigQuery, Redshift), • Data transformation technology such as DBT, • Visual Studio Code, • Python, • CI automation systems such as Jenkins, • A git-based source control system such as BitBucket, • Data Warehouse/Kimball methodology, • Data replication technology such as Fivetran HVR., • Excellent problem-solving skills., • Good communication skills and comfortable working with both technical and non-technical teams Other: • Good knowledge of IT products and systems, • Good analytical skills, • Excellent communication skills verbal and written, • Able to communicate with people at all levels confidently and effectively, • Able to prioritise work effectively, • Customer focussed, • Flexible approach to work - team player, • Adaptable to changing environment, • Self-motivated, • Embraces continuous learning, • Previous experience working in an e-commerce and/or financial services business, • Ability to use Docker and container orchestration tools, • AWS cloud infrastructure including AWS CDK, • MS SQL, • No SQL database such as Mongo, • AI Tools such as CoPilot, Snowflake Cortex About AJ Bell AJ Bell is one of the UK’s fastest-growing investment platform businesses, providing award-winning solutions for everyone, from professional financial advisers to first-time investors. Today, over 723,000 customers trust us to manage more than £108.7 billion of assets. By continually striving to make investing simpler and more accessible, we’re helping more people take control of their financial futures. We’re proud to be recognised as one of the UK’s Best 100 Companies to Work For for six consecutive years, and a Great Place to Work in 2025 and 2026 a reflection of our supportive and collaborative culture. What we offer • 25 days holiday, increasing with service + buy/sell scheme + bank holidays, • 6% Pension with matched contributions, • Discretionary bonus scheme, • Share schemes (including free shares and BAYE), • Health Cash Plan and discounted private healthcare, • Free onsite gym, • Enhanced family leave (subject to qualifying criteria), • Travel and bike loan schemes, • Employee Assistance Programme Life at AJ Bell • Regular social events including summer and Christmas parties, • Learning and development opportunities tailored to you, • Casual dress code, • Friendly, supportive team environment Our ways of working We offer hybrid working, with a minimum of 50% of your working time per month spent in the office. For new starters, there’s an initial period of full-time office working to help you settle in and build relationships. Inclusion & diversity We’re committed to creating an inclusive environment where everyone feels respected and able to be themselves at work. We welcome applications from all backgrounds and make hiring decisions based on skills, experience and potential.

Company Description We’re looking for a Head of Integration, Data & GenAI Engineering to lead a critical engineering capability within Technology Services at AJ Bell. This role brings together leadership across three important parts of our technology landscape: integration engineering, data engineering and Generative AI engineering. Reporting to the Director of IT Strategy & Architecture, you will lead through three senior technical leaders: Senior Engineering Manager (EA), Senior Data Engineering Manager, and Software Engineering Team Lead (GenAI). You will help shape the platforms, capabilities and engineering practices that support AJ Bell’s long-term strategy. This is a senior leadership role for someone who combines strategic thinking with strong technical credibility and a clear delivery focus. You will be responsible for building high-performing teams, setting clear direction, and ensuring AJ Bell has secure, scalable and well-governed engineering foundations across integration, data and AI. What does the role involve? • Leading and developing AJ Bell’s engineering capability across enterprise integration, data engineering and GenAI, with overall responsibility for three direct reports and their teams., • Setting the strategic direction for integration, data and GenAI engineering in line with AJ Bell’s technology strategy, business priorities and regulatory obligations., • Providing strong leadership to senior managers and technical leads, creating clarity of purpose, clear accountability and a collaborative, high-performing culture, while supporting recruitment, succession planning, capability development and retention across the teams., • Leading the development of event-driven and data streaming solutions, with a strong focus on integration architecture, API and messaging patterns, reusable engineering standards and modern delivery practices., • Overseeing the development and operation of AJ Bell’s data engineering capabilities, including data ingestion, transformation, provisioning, governance, security, privacy and access to trusted data., • Driving the design and adoption of GenAI engineering capabilities, including development of a core platform and integration of GenAI solutions into products, services and internal processes where they create clear business value, with appropriate guardrails around security, risk and responsible use., • Ensuring engineering solutions are secure, scalable, resilient and supportable, with appropriate governance, standards, observability and controls built in from the outset., • Working closely with product-aligned engineering teams, infrastructure, information security, architecture and business stakeholders to deliver joined-up solutions, support data-driven decision-making and create long-term value. What skills and experience you’ll bring • Strong leadership experience in senior engineering roles, with a track record of leading technical teams across multiple specialist disciplines., • Broad technical credibility across software engineering, integration architecture, event-driven systems, data engineering and modern platform architecture., • Experience leading engineering teams responsible for APIs, backend services, event-driven integration, data platforms and AI-enabled products and services within a complex enterprise environment., • Strong understanding of modern data engineering practices, including data pipelines, ETL/ELT, data modelling, data governance, security, privacy and access management., • Experience working with data platforms and technologies such as Snowflake, SQL-based data environments and a range of operational data sources., • Good understanding of Generative AI and LLM-related engineering patterns, with the ability to lead teams in applying these capabilities pragmatically, securely and responsibly in an enterprise setting., • Strong strategic thinking and planning skills, with the ability to translate business goals into clear engineering roadmaps and delivery priorities., • A strong delivery mindset, with experience balancing long-term platform improvement with short-term business outcomes., • Excellent stakeholder management and communication skills, including the ability to work effectively with senior leadership, technical teams and non-technical stakeholders, and to translate complex technical concepts into clear business direction., • Strong people leadership skills, including coaching senior leaders, developing talent, managing performance and building engaged, high-performing teams., • A collaborative, pragmatic and outcome-focused approach, with the confidence to challenge, influence and lead through change in a regulated environment with a strong focus on customer outcomes., • Experience of working in a regulated environment, ideally within financial services, with a clear understanding of risk, control and customer outcomes. About AJ Bell AJ Bell is one of the UK’s fastest-growing investment platform businesses, providing award-winning solutions for everyone, from professional financial advisers to first-time investors. Today, over 723,000 customers trust us to manage more than £108.7 billion of assets. By continually striving to make investing simpler and more accessible, we’re helping more people take control of their financial futures. We’re proud to be recognised as one of the UK’s Best 100 Companies to Work For for six consecutive years, and a Great Place to Work in 2025 and 2026 a reflection of our supportive and collaborative culture. What we offer • 28 days holiday, increasing with service + buy/sell scheme + bank holidays, • 8% Pension with matched contributions, • Discretionary bonus scheme, • Share schemes (including free shares and BAYE), • Health Cash Plan and discounted private healthcare, • Free onsite gym, • Enhanced family leave (subject to qualifying criteria), • Travel and bike loan schemes, • Employee Assistance Programme Life at AJ Bell • Regular social events including summer and Christmas parties, • Learning and development opportunities tailored to you, • Casual dress code, • Friendly, supportive team environment Our ways of working We offer hybrid working, with a minimum of 60% of your working time per month spent in the office. For new starters, there’s an initial period of full-time office working to help you settle in and build relationships. Inclusion & diversity We’re committed to creating an inclusive environment where everyone feels respected and able to be themselves at work. We welcome applications from all backgrounds and make hiring decisions based on skills, experience and potential.

Senior Data Analyst £80,000 - £90,000 Remote (UK-Based Only) As a Senior Data Analyst, you will have genuine influence across multiple teams, shaping how data is used to drive customer growth, retention, and product performance in a highly collaborative environment. THE COMPANY They are a high-growth online gambling and sports betting platform backed by significant recent investment and focused on delivering an intuitive, mobile-first user experience. THE ROLE As a Senior Data Analyst, you will partner with stakeholders across the organisation to turn complex questions into actionable insights. Specifically, you can expect to be involved in the following: • Analysing customer behaviour, retention, churn, and lifecycle performance., • Partnering with Product, Growth, CRM, Commercial, and Trading team., • Translating ambiguous business challenges into structured analytical approaches., • Building dashboards, reports, and decision-support tools., • Supporting CRM and customer engagement strategies with data-driven insights., • Identifying trends, risks, and commercial opportunities through analysis., • Communicating insights clearly to both technical and non-technical audiences. SKILLS AND EXPERIENCE The successful Senior Data Analyst will have the following skills and experience: • Strong SQL and core analytical capability., • Experience across customer, commercial, CRM, or product analytics., • Proven ability to analyse customer behaviour, retention, or lifecycle metrics., • Strong stakeholder management and communication skills., • Strong BI and reporting experience., • Comfortable working in fast-paced and ambiguous environments., • Familiarity with modern data tools such as Snowflake, dbt, or similar platforms is advantageous. BENEFITS The successful Senior Data Analyst will receive the following benefits: • Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

I'm hiring a Senior BI Data Architect to join a global SaaS organisation and take ownership of a large-scale data platform transformation. This is a hands-on architecture role sitting at the intersection of data engineering and BI - where your work will directly shape how the business uses data to make decisions. The company A global technology business operating in the data and insights / research space, serving major clients worldwide and processing hundreds of millions of data points annually. They are investing heavily in modernising their data platform and analytics capabilities, with a strong focus on performance, scalability, and self-serve analytics. The role You'll take full ownership of the Databricks Lakehouse and BI architecture, leading the migration away from legacy systems while building a clean, governed and scalable platform. This is not just a design role - you'll be deep in the detail, refactoring SQL, building pipelines, and optimising performance. What you'll be doing • Design and implement a governed Databricks Lakehouse architecture (Unity Catalog, schemas, volumes), • Lead migration of complex legacy SQL logic into modular, scalable pipelines, • Build and optimise data transformation frameworks using Spark / Python / SQL pipelines, • Act as the go-to expert for query performance optimisation (Spark execution plans, data skew, joins), • Design and implement dimensional data models (star / snowflake schemas), • Architect the semantic layer for BI (Omni or similar tools like Looker), • Build CI/CD pipelines to automate testing and deployment, • Work with stakeholders across Product, Finance, and Commercial teams to deliver scalable solutionsWhat you bringMust-haves, • 8+ years in data engineering / data architecture, • Deep experience with Databricks (Lakehouse, Delta Lake, Unity Catalog), • Expert SQL and distributed computing knowledge, • Strong experience with data modelling (star / snowflake schemas), • Proven experience migrating legacy data platforms, • Ability to optimise performance across large datasets, • Experience with modern BI semantic layers (e.g. Looker, Omni, Superset), • Experience with CI/CD and version control (Git)Nice to have, • Experience with dbt or similar transformation frameworks, • Exposure to AI/BI or natural language querying tools, • Experience in multi-tenant or embedded analytics environmentsWhy this role, • Own and shape a modern data platform at scale, • High-impact project with visible business outcomes, • Combination of architecture + hands-on engineering, • Work on performance, scalability, and governance challenges, • Flexible, remote-friendly workingWhat success looks like, • A clean, governed Lakehouse architecture, • Improved performance and reduced cost across the platform, • Scalable, reusable data pipelines, • A robust semantic layer enabling self-serve analytics across the business

Join this fast-growing B-Corp Financial services company and help shape the future of data, reporting and financial inclusivity. We’re looking for an experienced Senior Data Business Analyst (Data & Reporting), but this role will also suit candidates from Data Business Analyst, BI Business Analyst, Data Warehouse Business Analyst or Data Solutions Analyst backgrounds, who have worked as the intersection of business stakeholders, SMEs and technical delivery teams. In this role, you’ll translate complex business requirements into clear, testable technical specifications for data engineers, BI developers and QA teams. You’ll lead workshops across Finance, Credit Risk, Compliance, Operations and Product, defining reporting requirements, KPI logic, data lineage, source-to-target mappings, reconciliations and data warehouse structures to ensure reporting is accurate, compliant and audit-ready. You’ll play a key role in Agile delivery, managing backlogs, writing user stories, supporting UAT and partnering with engineers on semantic models, facts, dimensions, grain and reporting solutions. Role: Senior Data Business Analyst / Senior Technical Business Analyst (Data & Reporting) Location: Manchester city centre – Hybrid working (3 days a week in the office) Salary: £55k-£60k base salary plus a fantastic employee benefits package Benefits: 25 days’ holiday plus bank holidays, your birthday off every year, healthcare cash plan, matched pension contributions up to 5%, life assurance, cycle to work scheme and long service awards. We’re looking for someone with strong stakeholder management skills, excellent documentation standards and solid experience with SQL, Power BI, JIRA and Confluence. Exposure to Tableau, Snowflake, Databricks, Azure Synapse or ADF would be highly beneficial. we’re building a collaborative, inclusive and innovative culture where everyone is welcome and empowered to succeed. Fancy jumping on board? CLICK APPLY and send through a CV.

Head of Data Engineering | Permanent | £100,000-£125,000 | Manchester (Hybrid) A major UK retailer is transforming how it uses data and they need an experienced Head of Data Engineering to lead the charge. This is a senior, hands-on leadership role at the heart of a cloud-native data platform build. You'll be setting the technical direction for data engineering, leading a growing team, and owning the modernised platform long after the initial build is complete. What you'll be doing • Leading and growing a data engineering team through a major platform transformation, • Setting the technical direction for data pipelines, architecture, and tooling across a Snowflake Medallion environment, • Overseeing the migration of legacy SQL Server, SSRS, and Business Objects onto the modern platform, • Owning the data engineering function through delivery and into the steady-state — you build it, you run it, • Working closely with integrations, reporting, and BA teams to ensure end-to-end delivery, • Acting as the senior escalation point for data engineering decisions across a fast-paced, agile programme, • Driving adoption of dbt and modern engineering best practices across the team What we're looking for • Proven leadership experience — real people management, not just a senior engineer with a title, • Deep hands-on experience with Snowflake, ideally including Medallion architecture, • Strong dbt and SQL/Python skills — this role requires someone who can still get into the detail, • Azure data infrastructure experience, • A track record of delivering at pace in agile, high-velocity environments, • Experience migrating off legacy data estates, • UK right to work — no sponsorship available The stack: Snowflake · dbt · Azure One Lake · Power BI · Datadog · Python · SQL

Data & AI Delivery Senior Manager/Associate Director | Capital Markets\n\nLocation: Manchester\nWorking pattern: Hybrid\nSalary: Compensation aligned to experience and seniority\nRef: J13122\n\nSenior Data & AI Delivery professionals are required to lead the delivery of complex data transformation and AI programmes within financial services and capital markets environments.\n\nYou will bring experience delivering large scale data and AI initiatives within complex environments and play a key role in shaping delivery strategy, leading teams and driving transformational change, helping organisations solve complex operational, technical and business challenges through data and AI adoption.\n\nYou will work across multidisciplinary teams, collaborating with Data Engineers, AI Engineers, Architects, Data Scientists and senior stakeholders to drive programme delivery, shape solutions and support organisations through complex transformation initiatives.\n\nKey responsibilities:\n·Leading the delivery of complex data and AI transformation programmes across multiple workstreams\n·Managing multidisciplinary teams to deliver business critical technology outcomes\n·Collaborating directly with clients to understand challenges and shape tailored solutions\n·Translating technical requirements into business outcomes and delivery plans\n·Managing programme risks, dependencies, timelines and stakeholder expectations\n·Supporting the implementation of modern data platforms and AI driven solutions\n·Providing technical guidance and oversight across delivery teams\n·Building and maintaining strong relationships with client and business stakeholders\n·Supporting programme governance, reporting and communication across large initiatives\n·Applying market and industry knowledge to help shape client strategies and solutions\n·Supporting pre sales activity, technical proposals and client presentations\n·Coaching and mentoring team members across multidisciplinary environments\n\nExperience Required:\n·Experience delivering large scale data, AI or technology transformation programmes\n·Background within consulting, programme delivery, implementation or transformation environments\n·Experience leading teams across complex projects and multiple workstreams\n·Strong communication and stakeholder management skills with the ability to bridge technical and business audiences\n·Experience gathering requirements and shaping solutions aligned to business objectives\n·Understanding of AI technologies, modern data platforms and data management principles\n·Knowledge of data governance, data quality and data strategy concepts\n·Familiarity with delivery methodologies including Agile, Waterfall or SAFe\n·Experience with tooling such as Jira, Confluence or similar platforms\n·Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python\n·Financial services experience within capital markets or broader banking environments\n\nThis is a strong opportunity for a delivery leader who wants to work on high impact data and AI transformation programmes within complex financial services environments.\n\nFor more information make an application today!\n\nAlternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.\nDatatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed) <(url removed)

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.

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.

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.

Data Engineer | Large Retailer | £68,000 | Manchester (Hybrid) We're hiring a hands-on Data Engineer to join a high-profile data modernisation programme at one of the UK's most recognisable retail brands. This is a genuinely exciting opportunity to help build a modern data platform from the ground up, working with best-in-class tooling at pace and scale. The Programme You'll be joining a data modernisation initiative — replatforming a legacy data and reporting estate onto a modern cloud stack (Snowflake, dbt, Fivetran, Azure), retiring legacy MSSQL warehouses, and delivering across multiple international markets. Fast-paced, high-visibility, and high-impact. The Role Working as part of a collaborative engineering team and reporting to a Senior Data Engineer, you'll be hands-on in the day-to-day build of pipelines and data products that power analytics and reporting across the business. You'll be: • Building and maintaining pipelines in Snowflake, dbt and Fivetran, ingesting from SaaS source systems including Workday, Oracle Symphony and NetSuite, • Writing clean, well-tested SQL, Python and dbt code, • Building dbt tests and data quality checks, • Contributing to CI/CD pipelines and peer code reviews, • Participating in Agile ceremonies and on-call rota once onboarded, • Documenting pipelines, datasets and design decisions clearly What We're Looking For Essential: • 2+ years' commercial experience as a Data Engineer or Analytics Engineer, • Strong SQL — able to write, debug and optimise non-trivial queries, • Hands-on experience with a modern cloud data warehouse (Snowflake strongly preferred), • Hands-on dbt experience (Core or Cloud) — not just exposure, • Proficient in Python for data transformation and scripting, • Comfortable with Git and Agile delivery, • Right to work in the UK without sponsorship Nice to Have: • Fivetran or another managed ELT tool, • Azure (Function Apps, Logic Apps, Data Factory), • MSSQL / T-SQL experience, particularly migrating legacy stored procedures, • CI/CD tooling (GitHub Actions, Azure DevOps), • Power BI familiarity, • Knowledge of dimensional, semantic or medallion architecture What's on Offer • 💰 Up to £68,000 base salary, • 📍 Hybrid — 3 days per week in Manchester (Piccadilly), • 🏥 Private medical insurance, • 🏦 Pension & life assurance, • 🎁 Retail perks and bonus scheme, • 🚀 Genuine career-shaping experience on a high-profile programme with senior mentorship

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.

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

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.

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.

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.

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

Role: Analytics Engineer REMOTE Salary: £60,000 - £75,000 (dependent on experience) Insight into the Company: This organisation is a large telecoms organisation that is looking to change the industry through their flexible approach! As an Analytics Engineer on their team, you will work to build the customer data platform. The ideal candidate will be a team-player, working in a team of 10, working with and supporting different data workstreams. You will have strong communication skills to work within the team and also with stakeholders. The role will involve improving existing models to ensure they are efficient and scaled. Role and Responsibilities: • You will ingest and transform data in snowflake using DBT, • You will support the building of the data warehouse in Snowflake, • You will work to sustain and implement existing ELT pipelines Skills and Experience: • Essential to have 3+ years experience in:, • SQL, • Python, • DBT, • Cloud techs such as Snowflake, BigQuery or Databricks, • Dimensional Modelling such as Kimball, • Desirable to have experience with:, • CI/CD pipelines, • Kafka; real-time streaming, • Snowflake as a data warehouse Interview Process: There are 4 stages to the process: • A 30 minute discussion about experience, • An hour take home exercise, • A technical interview with the Data Director and Analytics Engineer

Data & AI Delivery Consultant Manchester Hybrid We're supporting a major consulting and technology organisation delivering large-scale Data and AI transformation programmes across Financial Services. The focus is leading complex delivery programmes across data, AI, governance, transformation and enterprise change within banking environments. Hiring across multiple levels, from Delivery Managers through to senior leadership. What you'll be doing Leading large-scale data and AI transformation programmes Managing cross-functional delivery teams across business and technology Supporting implementation, remediation and advisory projects Working closely with senior stakeholders and client leadership Translating technical requirements into business outcomes Driving programme delivery across modern data environments Environment Azure, AWS, GCP Databricks, Snowflake, Power BI Python, SQL Jira, Confluence, Agile/SaFe Modern data architecture and governance environments Requirements Experience delivering large-scale data or AI programmes Strong stakeholder and programme leadership capability Experience across Banking or regulated Financial Services Understanding of modern data platforms and AI transformation Strong communication, delivery and consulting skills

🚀 Senior Software Engineer (Scala / Distributed Systems) 📍 Manchester (Hybrid / 3-4 Days On-Site) 💼 Global Mobility & AI Tech Pionee r The physical world is the next frontier for artificial intelligence. I am currently partnering with a hyper-growth technology pioneer that is completely redefining how we interact with physical infrastructure—blending advanced intelligence with real-world assets to unlock seamless, frictionless experiences for millions of users worldwid e.Following massive expansion, they are scaling their core application development team in Manchester. This isn't a role for maintaining the status quo; it’s a greenfield opportunity to design, build, and scale a global, high-volume mobility and e-commerce platform from the ground u p.If you have a product-oriented mindset and a passion for engineering excellence, this is your chance to build systems that directly impact everyday travel experiences on a global scal e.🛠️ What You’ll Be Doi ngAs a senior member of the engineering team, you will take true ownership of the backend services powering a global platfor • m.Architect & Scale: Design and implement highly available, scalable backend services for a high-volume, global e-commerce and mobility platfor, • m.End-to-End Ownership: Lead the complete lifecycle of new features, from initial technical specification through to automated deploymen, • t.System Design: Build distributed systems capable of handling massive consumer traffic across global transport hub, • s.Collaborate: Partner with global stakeholders to design and integrate seamless APIs that expand the company's ecosyste, • m.Engineering Culture: Champion best practices in TDD/BDD, automation testing, robust CI/CD pipelines, and collaborative blameless post-mortem s.?? What We’re Looking F orWe need a senior engineer who thrives in fast-paced, collaborative spaces and values clear, transparent communicatio n.Essential Capabilitie • s:Distributed Systems Expertise: Proven ability to deliver large-scale distributed systems and microservices for high-volume, consumer-facing application, • s.Backend Mastery: Advanced proficiency with Scala (their principal backend tool), Java, or similar robust language, • s.Modern Architecture: Strong experience with event-driven architectures and modern software design paradigm, • s.Data Fluency: Hands-on experience working with relational and modern database technologies like MySQL and PostgreSQ, • L.CI/CD & Agile: Deep understanding of automated build, test, and deploy workflow s.Nice to Hav • e:Familiarity with container technologies and Infrastructure as Code (IaC, • ).A background in e-commerce platforms or complex third-party API integration, • s.Exposure to TypeScript, React, Snowflake, AWS, Datadog, or GitHub Copilo, • t.A proactive interest in leveraging emerging AI technologies to enhance engineering productivit y.

A fast-growing digital business in Manchester is seeking a Data Analyst to convert data into actionable insights that influence product vision and evolution. This role involves analyzing user behavior and product performance, conducting data migration to Snowflake, and building visualizations to sup

This position promotes continuous improvement and champions data governance across the organization. Insight Investment is seeking a Platform Architect to join their Data Platform team in Manchester. In this role, you will define the architectural vision for their data strategies, ensuring scalabili

AJ Bell Management Limited is seeking a data professional to support the migration of reporting assets from SSRS to Snowflake.The role requires strong SQL expertise and experience in data modelling and transformation.Responsibilities include overseeing the end-to-end migration process, delivering hi

Owning the performance and quality of data processes, with a focus on data modelling and performance tuning. Hands‑on experience with data warehousing, data modelling, and building for scale. Are you ready to stop maintaining and start building? We're looking for a Snowflake Data Engineer for a pe

Data & AI Delivery Consultant Manchester Hybrid We're supporting a major consulting and technology organisation delivering large-scale Data and AI transformation programmes across Financial Services. The focus is leading complex delivery programmes across data, AI, governance, transformation and enterprise change within banking environments. Hiring across multiple levels, from Delivery Managers through to senior leadership. What you'll be doing • Leading large-scale data and AI transformation programmes • Managing cross-functional delivery teams across business and technology • Supporting implementation, remediation and advisory projects • Working closely with senior stakeholders and client leadership • Translating technical requirements into business outcomes • Driving programme delivery across modern data environments Environment Azure, AWS, GCP Databricks, Snowflake, Power BI Python, SQL Jira, Confluence, Agile/SaFe Modern data architecture and governance environments Requirements • Experience delivering large-scale data or AI programmes • Strong stakeholder and programme leadership capability • Experience across Banking or regulated Financial Services • Understanding of modern data platforms and AI transformation • Strong communication, delivery and consulting skills Open to candidates from Manager through to Associate Director level. If you're open to a confidential conversation about the Data & AI delivery market, please message me directly. #Data #AI #DataTransformation #AIDelivery #ProgrammeManagement #DataGovernance #Banking #FinancialServices #Databricks #Snowflake #Cloud #LondonTech #ManchesterTech #ScotlandTech

Join this fast-growing B-Corp Financial services company and help shape the future of data, reporting and financial inclusivity. We’re looking for an experienced Senior Data Business Analyst (Data & Reporting), but this role will also suit candidates from Data Business Analyst, BI Business Analyst, Data Warehouse Business Analyst or Data Solutions Analyst backgrounds, who have worked as the intersection of business stakeholders, SMEs and technical delivery teams. In this role, you’ll translate complex business requirements into clear, testable technical specifications for data engineers, BI developers and QA teams. You’ll lead workshops across Finance, Credit Risk, Compliance, Operations and Product, defining reporting requirements, KPI logic, data lineage, source-to-target mappings, reconciliations and data warehouse structures to ensure reporting is accurate, compliant and audit-ready. You’ll play a key role in Agile delivery, managing backlogs, writing user stories, supporting UAT and partnering with engineers on semantic models, facts, dimensions, grain and reporting solutions. Role: Senior Data Business Analyst / Senior Technical Business Analyst (Data & Reporting) Location: Manchester city centre – Hybrid working (3 days a week in the office) Salary: £55k-£60k base salary plus a fantastic employee benefits package Benefits: 25 days’ holiday plus bank holidays, your birthday off every year, healthcare cash plan, matched pension contributions up to 5%, life assurance, cycle to work scheme and long service awards. We’re looking for someone with strong stakeholder management skills, excellent documentation standards and solid experience with SQL, Power BI, JIRA and Confluence. Exposure to Tableau, Snowflake, Databricks, Azure Synapse or ADF would be highly beneficial. we’re building a collaborative, inclusive and innovative culture where everyone is welcome and empowered to succeed. Fancy jumping on board? CLICK APPLY and send through a CV

This is a hands-on Snowflake Data Engineering contract where you’ll be working across different client environments, helping design, build and optimise cloud-based data platforms. Design and implement scalable data models within Snowflake. Support migration and modernisation of legacy data platfor

As a Data Engineer, you will maintain and enhance the organisation's data infrastructure, ensuring reliable, timely data is available for reporting and analysis.You will work with data warehouses, ETL pipelines, and reporting tools such as Tableau and SSRS to transform data into structured, accessib

JOIN EVRI PREMIUM – SUMMER INTO A NEW DRIVING OPPORTUNITY.Self-employed Multi-Drop Van Drivers wanted.This summer, hit the road and take control of your earnings.Evri Premium is building a next-generation delivery network and we’re looking for motivated drivers ready to make the most of

Lead Data Engineer - Outside £600p/d | 3-6 month | Lead a Data Engineering function | HealthTech | Python, Spark, Data Bricks, AWS, Azure | Remote UK based.Digital have exclusively partnered with an exciting HealthTech business looking to hire a Lead Data Engineer to help kick off a build of a bran

URGENT REQUIREMENT — SC ELIGIBLE DATA ENGINEER CONTRACTS.Multiple roles · Mid-level, Senior & Lead · Hybrid (UK).Inside IR35, dependent on experience).Initial 12-month SOW with a long-term programme roadmap (2–3 years).Primarily remote with occasional travel to the Midlands (up to 2 days/month

Cooling Engineer, Datacentre / Server / HPC.Our client is a global technology leader that designs, develops, and manufactures IT hardware and software.Last year they posted revenue at nearly $70 billion!.This is to work as part of an EMEA Power and cooling team but focusing on the fast growing AI re

Remote UK or Republic of Ireland | £55,000 to £75,000.This Senior Data Engineer role stands out for its focus on greenfield data projects, genuine ownership, and the opportunity to work end to end on modern cloud data platforms.You will join a growing data function where engineers are trusted to m

RealityMine has been a pioneer in delivering data driven insights to the world's largest brands for over a decade.Our platform provides unique data solutions to our clients enabling them to make strategic, informed decisions powered by data from real people, collected in a privacy safe way.As we con

Palantir Data Consultant – Defence & Security.An exciting opportunity to join a growing Technology & Transformation capability supporting high-impact Defence & Security programmes.This role sits at the intersection of data engineering, architecture, and business transformation, delivering mission-

We are currently supporting the search for several experienced Lead Electrical Systems Engineers to join a growing engineering environment delivering complex electrification, power conversion, automation, and control solutions across critical infrastructure and industrial sectors.These positions are

Oxford | Hybrid | Build the Future of Data & Knowledge Graphs.Looking for a Senior Data Engineering role that’s genuinely different?.Our client is building cutting-edge data and knowledge systems that help organisations navigate complexity, make smarter decisions, and create meaningful change.They

Oxfordshire | Hybrid | Competitive Salary) Build Something That Matters.Want to shape a modern enterprise data platform instead of just maintaining one?.Our client is growing their data capability and looking for a Senior Data Engineer to help drive the next phase of their data strategy.You’ll wor

Founded in 2014, Oxa is a global leader in autonomous vehicle (AV) technology, dedicated to accelerating Industrial Mobile Autonomy (IMA).We develop advanced physical AI and robotics technology, anchored around our configurable and explainable self-driving software, Oxa Driver; development toolchain

Lead Data Platfrom Engineer - £110k | Lead a Data Engineering function | HealthTech | Python, Spark, Data Bricks, AWS, Azure | Manchester / hybrid working.Digital have exclusively partnered with an exciting HealthTech business looking to hire a Lead Data Engineer to build and shape a brand-new Data