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LEAD DATA PLATFORM ENGINEER £85,000 + BENEFITS PRIMARILY REMOTE This is a standout opportunity to take ownership of a modern data platform and drive the evolution of a Databricks-centric environment at scale. THE COMPANY: This client are a well-established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible-by-choice working, a positive work-life balance and a commitment to technical excellence, this is an environment where you can make a visible impact while continuing to grow your expertise THE ROLE: You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. You will work closely with engineers and stakeholders across the business, providing technical leadership and taking ownership of key data platform initiatives. Key responsibilities include: • Developing and deploying the Lakehouse platform in Azure., • Owning Databricks engineering, administration and platform optimisation., • Designing end-to-end data platform solutions, • Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory., • Creating and...

Design and own analytics data models, transforming data from enriched layers into curated, analytics ready datasets. As an Analytics Engineer you will own the design and delivery of analytics-ready data within a modern Lakehouse environment, shaping how data is modelled, curated and consumed across

Senior Data Platform Engineer (Snowflake).Manchester / London / Staines (Hybrid).This is a senior-level position where you’ll take ownership of platform engineering capabilities- driving automation, governance, and performance optimisation, while enabling data teams to deliver advanced analytics a

Design, build and maintain analytics ready data models used across the organization. Strong commercial experience writing complex SQL for analytics and data modelling. You will be central to rebuilding and strengthening a core data capability, shaping how analytics supports product and customer deci

An exciting opportunity has arisen for a Data Science Engineer to support a growing Data Science function within a major public sector programme. You'll be working on the design and development of robust data processing systems that underpin analytics, data science and machine learning use cases. Su

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 2+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Advantageous Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

Data Engineer • Salary up to £60,000 + discretionary bonus, • Hybrid working model with collaborative office environment, • Work with Databricks, Spark Structured Streaming, Kafka (MSK), and AWS ABOUT THE CLIENT Due to continued growth, we’re seeking a skilled Data Engineer to join an established organisation at the forefront of building modern, data-driven platforms. The business is investing heavily in its data ecosystem and is focused on delivering real-time insights and trusted analytics that support teams across product, finance, marketing, and compliance. This is an excellent opportunity to work with modern cloud data technologies and play a key role in shaping a scalable, secure, and high-performance data platform. WHAT WILL YOU BE DOING? As a Data Engineer, you will design, build, and optimise scalable data pipelines within a Databricks Lakehouse environment. You’ll work with both streaming and batch data pipelines using technologies such as Apache Spark Structured Streaming, Delta Live Tables, and Kafka, ensuring data flows efficiently and reliably across the organisation. Working closely with BI, product, and engineering teams, you will help deliver high-quality, governed data that supports analytics, reporting, and operational decision-making. You’ll also play a key role in enabling business intelligence through high-performance data models and integrations with reporting tools. You’ll monitor and optimise pipeline performance, implement CI/CD processes for data workflows, and maintain strong governance and security standards across the data platform. Documentation, observability, and cost optimisation will also form part of your responsibilities as you contribute to the ongoing development of the organisation’s data ecosystem. OUR BENEFITS: • Competitive basic salary, • Discretionary bonus scheme, • Company shares option plan, • Contributory pension scheme, • Life insurance (4x basic salary), • Health cash plan, • Generous holiday allowance including bank holidays, • Study support and clear progression opportunities, • Employee assistance programme available 24/7, • Collaborative office environment with regular social and charity events, • And Much More!!! DATA ENGINEER – ESSTENTIAL SKILLS • Strong experience with Databricks and Apache Spark (PySpark or Scala), • Experience building streaming and batch pipelines using Spark Structured Streaming, • Hands-on experience with Kafka (MSK) and real-time data ingestion, • Strong understanding of Delta Lake, Delta Live Tables, and Medallion Architecture, • Proficiency in Python and SQL for data engineering and analytics TO BE CONSIDERED… Please either apply by clicking online or emailing me directly . By applying to this role you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Data Engineering, Databricks, Apache Spark, PySpark, SQL, Python, Kafka, AWS, Delta Lake, ETL, Data Pipelines, CI/CD, Big Data

Hybrid - 3 days a week in the office.This position sits at the heart of a high-performing Mar-Tech and analytics function, taking ownership of tagging infrastructure, measurement frameworks, and campaign data management across a diverse portfolio of client accounts.The successful candidate will be s

Reporting to the Head of AI & Innovation, and working with a small team of Data Engineers, you will play a key role in building a greenfield hybrid data platform to support firm-wide analytics and client-facing AI products (which the Senior Data Engineer will help to build). Our client, a leading UK

Senior Data & Insights Analyst £40,000 - £47,000 Manchester | Hybrid (2 days per week) This role offers the chance to sit at the centre of commercial decision-making, using data to influence real-time performance and senior stakeholder thinking. You will have clear ownership, strong visibility, and the opportunity to shape how insight is used across a fast-paced, operational environment. The Company They are a large, consumer-focused organisation where data plays a critical role in driving performance and improving outcomes. Analytics is well embedded in the business, with strong senior buy-in and a clear appetite for insight-led decision-making. The culture is collaborative, commercially minded, and supportive of flexible working and development. The Role • Lead day-to-day performance reporting and insight, delivering clear recommendations that influence operational and strategic decisions., • Partner closely with senior stakeholders across sales, digital, and operational teams to understand priorities and shape analytics outputs., • Build, own, and evolve dashboards that track performance and highlight opportunities for optimisation., • Translate complex data into concise, impactful stories that drive action., • Act as a trusted analytics partner, supporting leadership te...

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, • 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, • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand 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.

GCP Data Engineer - Dataflow 6 Month Contract Inside IR35 Up to £650 per day Remote We’re hiring a Senior Data Engineer to design, build, and optimise scalable data pipelines on Google Cloud Platform. This is a hands-on role for someone with a self-starter mindset who enjoys working with modern data architectures and open-source frameworks. What you’ll be doing: • Designing and building ETL/ELT pipelines, • Developing scalable data workflows on GCP, with a strong focus on Google Cloud Dataflow, • Implementing robust data ingestion frameworks using batch and streaming approaches, • Working with structured and semi-structured data, • Collaborating with Data Modelling & Analytics teams, • Driving data reliability, monitoring, and observability, • Automating deployments and workflows, • Contributing to tooling and framework decisions What we’re looking for: • Strong ETL/ELT pipeline experience, • Proven GCP data services expertise, including hands-on experience with Google Cloud Dataflow (essential), • Strong SQL and data transformation skills, • Experience with orchestration and pipeline automation, • Background in modern data architectures (lakehouse/warehouse), • Proactive, ownership-driven mindset Nice to have: • Data Vault 2.0 exposure, • BigQuery optimisation experience, • Open-source data framework experience, • CI/CD for data pipelines

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 have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • 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 (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • 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. 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)., • 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). 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 is in it for you: • 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.

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

Data Architect Manchester Up to £85,000 + Bonus S/C Clearable We’re hiring an experienced Data & Machine Learning Architect to lead the design of modern, scalable data and AI platforms. This role is ideal for someone who enjoys setting technical direction, shaping strategy, and guiding teams to deliver intelligent, enterprise‑grade solutions. What you’ll have the opportunity to do as a Data Architect • Defining and owning data and machine learning architecture across complex programmes, • Designing scalable cloud‑based data platforms and AI solutions that align to business goals, • Providing technical leadership across data engineering, ML and analytics delivery, • Establishing architectural standards around data modelling, governance, quality and security, • Working closely with senior stakeholders to translate business needs into technical roadmaps, • Mentoring engineers and architects while promoting best practice and innovation About the Candidate The right Data Architect should have: • Strong experience in data architecture, ML architecture or advanced data engineering roles, • Deep understanding of cloud platforms and modern data architectures, • Proven ability to design and govern large‑scale data and AI solutions, • Experience with CI/CD, MLOps and infrastructure‑as‑code approaches, • Confident communicator able to work with both technical and non‑technical audiences, • Eligible for SC clearance (5+ years continuous UK residency) What’s in it for you? • Salary from £65,000 to £85,000 + Bonus, • Hybrid working based in Manchester, • 25 Days holiday per annum, • Extensive benefits package, • Continuous training provided for career progression To hear more about the Data & Machine Learning Architect role contact Daire McIlhatton at

The business is backed by a global financial services group and continues to operate at scale; they’re investing heavily in data, analytics, and customer insight, and doubling down on personalisation and customer-centricity, with insight at the core. Reporting into the Director of Customer Insight

Read on for more details Skills and experience required: A strong professional network across the United Kingdom and a demonstrable track record of originating, shaping and converting consulting opportunities for Data, Analytics and Artificial Intelligence projects Ideally Big 4 Experience, which wo

An exciting opportunity has arisen in the Data and Analytics Team at Northern Care Alliance for a Senior Data Engineer to help migrate the current on-premises solution to a cloud-based solution in Azure.The Data and Analytics Team has recently undergone a period of natural growth and progression whi

Provide technical leadership and mentoring to junior data scientists, contributing to team capability building and best practice. Solid understanding of data modelling, data quality, and analytical best practices. Conduct exploratory data analysis, feature engineering, model development, validation,

As part of AECOM’s commitment to delivering sustainable and innovative solutions, the Senior Data Scientist will play a critical role in advancing analytics, AI/ML strategies, and IoT-driven insights to unlock measurable business value across infrastructure, environmental, and urban development se

CTI Digital Limited is seeking a Data & Analytics Manager in Manchester to lead efforts in tracking user behavior and measuring campaign performance. The ideal candidate will have extensive experience with Google Tag Manager, Google Analytics 4, and reporting tools such as Looker Studio and Power BI

This role requires a professional qualification and strong problem-solving skills in data analytics. A leading audit and advisory service provider in Manchester is seeking an Assistant Manager to enhance the audit practice through the implementation of digital solutions.

Data Engineers (National Security Open Day). We’re partnering with a leading National Security engineering organisation to host a small, invite-only open day at their Manchester site, focused on data and analytics engineering capability. Ensuring data quality, integration and security across compl

A cybersecurity firm is looking for a skilled Data Engineer to join their Engineering team in the United Kingdom.The role involves designing, building, and optimising scalable data pipelines that enhance analytics and machine learning solutions.Candidates should have strong experience with AWS techn

The Data Analyst I will be responsible for analyzing and reporting on our Paid Search marketing channel & activities, leveraging the data from various proprietary models and experiments. The successful candidate will join the Data Science & Analytics team in PCC (Pay-per-click), where we develop str

A global law firm in Manchester is seeking a Head of HR Operations to lead the HR operational infrastructure and enhance service delivery. This role focuses on ensuring compliance across HR processes, overseeing payroll, and improving data analytics for strategic decision-making. Candidates should h

Use people data and analytics to generate insights and support a high-performing culture. Identify opportunities to enhance culture, including diversity, equity and inclusion initiatives.

London, Bristol, Manchester, Birmingham# SAP Datasphere and Business Data Cloud ConsultantYou will join the You will join a growing team of SAP Data & Analytics specialists in our Enterprise Data Management team in Capgemini’s Insights and Data (I&D) business unit. The focus of your role**As a con

All members of the Verisk Analytics family of companies are equal opportunity employers. Join a global team of problem-solvers and innovators doing meaningful work that's shaping the future of industries. We are a leading strategic data, analytics, and technology partner to the global insurance indu

Candidates should have experience with Azure Data Factory, Databricks, and a background in financial data. Arrow is seeking a skilled Data Engineer in Manchester to join their IT & Change department. The role focuses on building resilient and reusable Data Pipelines for complex datasets within finan

The NMGH New Hospital Project Data Strategy & Analytics Lead will develop and execute a hospital-wide data strategy that enables evidence-based decision-making, improves operational efficiency, and enhances patient outcomes. Ensure alignment to the overarching MFT Data Strategy and report directly t

A data services company is seeking a Snowflake Data Engineer for a 12-month FTC in Manchester.This role involves designing and implementing data models, building production-grade data workflows, and optimizing Snowflake for performance.The ideal candidate will have strong experience with Snowflake a

Use people data and analytics to generate insights and support a high‑performing culture. Identify opportunities to enhance culture, including diversity, equity and inclusion initiatives.

A global financial services firm in Manchester is seeking a Specialist, Data Analyst & BI to analyze complex datasets, design automated data pipelines and collaborate with a team in an agile environment. The ideal candidate holds a Bachelor’s degree in a quantitative field and has experience with

Cyber Security training courses is seeking a Lead Data Engineer to design and deliver data solutions. The role demands extensive experience with Azure data services and SQL, and offers a competitive salary, fully remote work from anywhere in the UK, and a performance-related bonus scheme. Join us in

Recent graduate (Computer Science / Data Engineering / Software Engineering). This role sits at the intersection of data engineering and analytics engineering — transforming raw datasets into structured, production-ready intelligence assets.

Proven experience (around 5 years) in market research, data insights, or analytics, with a background in an agency environment considered an asset. Connect Marketing insights to a broader organizational goal, strategically influencing and shaping thinking. Using the Human8 canvas in combination with

The role involves connecting finance, data engineering, and actuarial analytics to deliver robust data solutions. Key responsibilities include designing data pipelines, collaborating with finance professionals, and ensuring data model integrity.

Workplace: White City, London/ Media City, Manchester/ Leeds – Hybrid.We are looking for a Data Engineer to join our team and play a key role in building and maintaining the data pipelines that fuel our analytics and machine learning initiatives.This isn’t just about processing data; it’s abou

A dynamic clean energy company located in Manchester seeks a passionate software developer to tackle real-world energy issues.You'll work on innovative projects that utilize Python, SQL, and Typescript, documenting and sharing insights effectively.The role offers significant career growth opportunit

Agoda is seeking a data-driven individual to join our team in Manchester.In this role, you will experiment with advertising campaigns across various platforms and analyze data to provide insights.The ideal candidate has a Bachelor's degree in a quantitative subject and is proficient in data analysis

OysterLink is looking for a Marketing Specialist in the United Kingdom. The role involves enhancing digital platforms through data-driven experimentation and optimizing product performance using various analytics tools.

A leading analytics firm seeks a Data Scientist to develop innovative data science solutions for fuel pricing.

Made Tech is seeking a Data Analyst in Greater Manchester to enhance public sector services through data-driven insights. The role involves in-depth data analysis, creating BI dashboards using tools like Power BI and Tableau, and collaborating with clients to translate their needs into actionable so

IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. You will get the chance to deliver effective solutions, driving meaningful business change for our clients, using some of the latest technology

A major consulting firm is seeking a SAP Business Data Cloud Architect to join their team.This role involves advising clients on data architecture strategies, leading the modernization of BW landscapes, and delivering BDC solutions.Candidates should have significant experience with SAP BW, Analytics

Cyber Services and Capabilities.GBR Manchester Hardman Boulevard.Manchester, Cheltenham or London.We are seeking a skilled Data Engineer to join our Engineering team, responsible for designing, building, and optimising scalable data pipelines that power advanced analytics and machine learning soluti

Cyber Services and Capabilities.GBR Manchester Hardman Boulevard.Manchester, Cheltenham or London.We are seeking a skilled Data Engineer to join our Engineering team, responsible for designing, building, and optimising scalable data pipelines that power advanced analytics and machine learning soluti