32 jobs found

Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

Data Engineer - Databricks Salary: 50K - 60K Location: Manchester (3 days per week) Role Overview: Our client is looking for a Data Engineer to take ownership of a Databricks platform and help push it into its next stage of maturity. This is a great opportunity for someone who enjoys more than just building pipelines. The role is focused on improving data quality, strengthening platform reliability, developing clearer Bronze, Silver and Gold data layers, and creating trusted datasets that can support reporting, analytics and wider business decision-making. You'll be joining a business where data is becoming increasingly important, with the opportunity to shape how data is structured, governed and used across the organisation. Key Responsibilities: Maintain, improve and optimise an existing Databricks data platform. Build and enhance scalable data pipelines using Spark, SQL and Python or Scala. Develop and mature Bronze, Silver and Gold layers to support analytics, reporting and downstream data use. Ingest and integrate data from APIs, databases and other source systems. Design data quality rules, validation checks and exception reporting to improve trust in business data. Investigate data issues, identify root causes and implement fixes that prevent recurring problems. Work with analysts, BI developers and business stakeholders to understand data requirements and turn them into practical engineering solutions. Support the design of curated data models for reporting and analytical consumption. Monitor workflow performance, troubleshoot failures and improve the reliability of data processes. Contribute to better documentation, governance, naming standards, lineage and data access practices. Identify opportunities to automate, simplify and standardise data engineering workflows. What We're Looking For: Proven experience as a Data Engineer within a cloud-based data environment. Strong hands-on experience with Databricks and Apache Spark. Experience building or improving medallion architecture, including Bronze, Silver and Gold data layers. Strong SQL skills for transformation, validation and data analysis. Python or Scala experience for data engineering, automation or scripting. Experience extracting, ingesting and integrating data from APIs. Good understanding of data quality, data controls and reliability within production data environments. Experience working with cloud data services, ideally Azure, although AWS or GCP experience would also be relevant. Exposure to Delta Lake, Databricks Workflows, scheduling tools or lakehouse environments would be beneficial. An understanding of Power BI, reporting data models, governance, cataloguing or lineage would be useful. Strong communication skills, with the ability to work with technical and non-technical stakeholders. Why Consider This Role? This is a strong opportunity for a Data Engineer who wants more ownership, more influence and more impact than a standard pipeline-focused role. You'll be working on a business-critical Databricks platform where data quality, structure and reliability genuinely matter. The business is investing in better data practices, so this role offers the chance to improve how data is ingested, transformed, monitored and made available to the wider organisation. It would suit someone who enjoys solving messy data problems, building robust engineering patterns and helping create a platform that people across the business can trust. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Platform Engineer 12 months Swindon - hybrid Inside IR35 - umbrella only Primary skills Data Engineering & Pipeline Development (ETL/ELT design and implementation) Strong SQL & Data Modeling (query optimization, schema design) Programming Skills (Python / Scala for data processing) Big Data Processing (Spark / Databricks) Cloud Data Platforms (Azure / AWS / GCP - especially data services) Secondary skills API-based Data Integration & Microservices exposure Banking / Financial Services Domain Experience If you're passionate about data engineering and eager to contribute to a forward-thinking organisation, we want to hear from you! If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Senior Software Engineer Location: London, UK Working Environment: Hybrid (2 days on-site per week) The company is a leading financial data and analytics company and looking to hire a Senior Software Engineer with experience of working on the development of cloud databases. The business processes large-scale market data and delivers historical datasets and analytics products to institutional clients globally. This role focuses on building and maintaining systems that efficiently distribute data to customers across multiple delivery methods. You will contribute to the design, development, automation, and reliability of data infrastructure and workflows, whilst working in close collaboration with product and operations teams. Key Responsibilities Design, analysis and implementation of features in the data distribution platform. Ensure system reliability by implementing company and industry best practices. Implement workflow management software to automate operational tasks and optimize the utilisation of infrastructure and applications. Design and implement CI/CD workflows to maintain software quality via continuous and automated deployment and testing. Evaluate and adopt relevant technologies and tools Key Requirements Degree in computer science or other STEM degree plus relevant programming experience. 6+ years of experience in software engineering, with proficiency programming in Python on Linux. Experience working with AWS and Docker. Experience with Databricks and/or Snowflake Desired, but not essential: Experience with C/C++ or Java Knowledge of database optimisation and administration

Software Engineer Location: London, UK Working Environment: Hybrid (2 days on-site per week) The company is a leading financial data and analytics company and they are looking to hire a Software Engineer into one of their data distribution engineering teams. This role focuses on building and maintaining systems that efficiently distribute data to customers across multiple delivery methods. You will contribute to the design, development, automation, and reliability of data infrastructure and workflows, whilst working in close collaboration with product and operations teams. Key Responsibilities Design, analysis and implementation of features in the data distribution platform. Ensure system reliability by implementing company and industry best practices. Implement workflow management software to automate operational tasks and optimize the utilisation of infrastructure and applications. Design and implement CI/CD workflows to maintain software quality via continuous and automated deployment and testing. Evaluate and adopt relevant technologies and tools Key Requirements Degree in computer science or other STEM degree plus relevant programming experience. 2+ years of experience in software engineering, with proficiency programming in Python on Linux. Exposure to / experience working with cloud and containerisation technologies (AWS & Docker preferred) Desired, but not essential: Exposure to / experience working with Databricks and/or Snowflake

We're hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in real-world environments. You'll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture. This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform securely, reliably and at scale ensuring performance, cost control and operational maturity as adoption grows. You'll work closely with AI engineers, security teams, and product stakeholders to transform experimental models into hardened, production-ready services while shaping a reusable AI platform capable of supporting multiple products. What You'll Be Doing Design and optimise scalable RAG pipelines and vector search systems Orchestrate multi-model AI services with a focus on latency, resilience and performance Productionise GenAI workflows and ensure they operate reliably under real usage Build and run AI services across AWS and Databricks Develop ingestion, embedding and retrieval pipelines Deploy containerised workloads via Kubernetes and Helm Implement Infrastructure-as-Code using Terraform Introduce end-to-end monitoring, tracing and alerting for AI workloads Improve inference and retrieval performance while reducing operational cost Establish fault-tolerant, scalable infrastructure patterns Embed security, evaluation and governance into the AI lifecycle Build CI/CD pipelines and automation to support continuous model deployment Create reusable platform components to accelerate future AI initiatives Strong experience in: Cloud infrastructure engineering (AWS-focused environments) Kubernetes, containerisation, and distributed systems Terraform / Infrastructure-as-Code CI/CD, automation, and platform reliability Running production workloads with high availability requirements Plus, experience with one or more of the following: MLOps or ML platform engineering RAG architectures, embeddings, or vector search Model serving, observability or performance optimisation Data / AI workflow orchestration in Databricks or similar ecosystems Why Join? Work on real-world AI systems operating at scale Own platform design decisions and influence long-term architecture Blend modern DevOps practices with cutting-edge Generative AI use cases Be part of a growing, innovation-driven engineering environment Opportunity to define how AI is operationalised across multiple products If you're excited by building the infrastructure that makes AI usable, scalable and reliable in production, we'd love to hear from you. 49914MSR3 INDLON The Portfolio Group are acting on behalf of our client in recruiting for this position.

Senior Data Engineer (Contract) Duration: 6 Months (Possibility for extension) Location: London/Hybrid (3 days per week on site) Rate: A highly competitive Umbrella Day Rate is available for suitable candidates Role Profile We are seeking a highly skilled Senior Data Engineer with strong expertise in Python and Databricks to design, build, and optimise scalable data pipelines and platforms. You will play a key role in enabling data-driven decision-making by delivering reliable, efficient, and high-quality data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines using Python and Databricks Build and optimise ETL/ELT workflows leveraging Databricks (Spark, Delta Lake) Develop robust data models and data architectures on Lakehouse platforms Implement and manage data workflows within the Databricks ecosystem Ensure high data quality, governance, and reliability across pipelines Optimise performance of large-scale distributed data processing Collaborate with data scientists and analysts to support analytics and ML Implement monitoring, logging, and alerting for data systems Mentor junior engineers and drive engineering best practices Skills & Experience Extensive experience in data engineering Strong programming expertise in Python Hands-on experience with Databricks (workflows, notebooks, jobs, Delta Lake) Strong experience with Apache Spark / PySpark Experience building scalable ETL pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS / Azure / GCP) Experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows) Strong understanding of data modelling and lakehouse architecture Databricks certifications (e.g., Databricks Certified Data Engineer) Experience with streaming data pipelines (Kafka, Structured Streaming) Experience with CI/CD and DevOps practices Knowledge of Delta Lake features (time travel, CDC, optimisation) Experience with containerisation (Docker, Kubernetes) Exposure to ML pipelines on Databricks Candidates will need to show evidence of the above in their CV in order to be considered. If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team. We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Overview We are seeking a Senior Data Architect to join one of our client and lead the design and delivery of modern data platforms and analytics architectures within a fast-paced, client-facing environment. You will act as the Databricks champion within the business, shaping best practice, guiding delivery teams, and supporting stakeholders through pre-sales and solution definition. Key Responsibilities Own end-to-end data architecture across lakehouse, warehouse, and streaming patterns, ensuring scalability, security, and governance. Act as Databricks champion: define standards, reference architectures, accelerators, and reusable assets. Lead architectural design for Databricks (workspaces, clusters, jobs, Delta Lake, Unity Catalogue, MLflow) and integrations with cloud services. Partner with pre-sales teams to shape propositions, run discovery, produce high-quality proposals, and present solutions to senior client audiences (pre-sales experience is essential). Translate business requirements into target-state data models, ingestion patterns, and semantic layers. Guide engineers on implementation, performance optimisation, cost control, CI/CD, and operational readiness. Ensure compliance with data governance, privacy, and security controls (RBAC, encryption, auditing, lineage). Essential Requirements Significant Databricks experience required, including production-scale deployments and optimisation. Strong hands-on capability with Spark/SQL, Delta Lake, orchestration, and data engineering patterns. Extensive experience designing cloud data platforms (AWS, Azure, or GCP) and integrating with enterprise systems. Proven stakeholder management and ability to communicate architecture to both technical and non-technical audiences. Experience with data modelling (dimensional, Data Vault, and/or domain-oriented approaches) and metadata management. Working knowledge of DevOps practices, infrastructure as code, and automated testing for data pipelines. Desirable Databricks Certifications highly desired (eg, Data Engineer, Data Analyst, Machine Learning, or Architect). Experience delivering governance frameworks, catalogue implementations, and operating models. Exposure to MLOps and analytics enablement.

We are partnering with an established organisation currently investing significantly in its AI and generative search capabilities. They are looking to appoint a Senior AI Engineer to play a key role in designing and delivering production-grade AI systems focused on accuracy, scalability, and real-world impact. This position sits within a growing AI function and will focus heavily on Retrieval-Augmented Generation (RAG), agentic workflows, evaluation frameworks, and LLM optimisation. Key Responsibilities: Design and develop scalable RAG pipelines and generative AI workflows Build solutions using LangChain, LangGraph, and LlamaIndex Implement retrieval strategies including reranking, chunking, and retrieval fusion Develop agentic workflows with a focus on robustness and maintainability Contribute to experimentation, evaluation, and AI quality frameworks Support fine-tuning, instruction tuning, and model optimisation initiatives Mentor junior engineers and contribute to technical best practices Key Requirements: Strong Python engineering experience Commercial experience building production-grade AI/ML systems Hands-on experience with RAG architectures and LLM workflows Experience with LangChain, LangGraph, and/or Llama Index Understanding of evaluation methodologies for generative AI Experience working within scalable cloud environments (AWS preferred) Ability to operate in a senior or technical leadership capacity Desirable: Graph-RAG experience Databricks exposure Experience deploying customer-facing AI systems This is an excellent opportunity to join a forward-thinking organisation where AI is a genuine strategic priority and engineering quality is highly valued. 51752MS INDLON The Portfolio Group are acting on behalf of our client in recruiting for this position.

Join an award-winning B2B consultancy at the forefront of enterprise AI, building and owning the cloud-native platform infrastructure that powers production-grade conversational and generative AI products at scale. The role This is a platform and infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines, LLM orchestration, vector search, and evaluation workflows run on, across AWS and Databricks. The focus is on building scalable, observable, secure, and cost-efficient platform infrastructure that enables AI engineering teams to ship and operate AI products reliably in production. What you'll do Design, build, and operate cloud-native AI platform infrastructure across AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch) and Databricks Deploy and operate containerised services on Kubernetes using Terraform for infrastructure-as-code Own and scale vector search infrastructure (OpenSearch, Algolia, AWS Bedrock Knowledge Bases) and embedding pipelines Build and maintain CI/CD pipelines for inference services, retrievers, ingestion workflows, and RAG components Implement observability across AI workloads using CloudWatch, MLflow, and OpenTelemetry - covering latency, throughput, cost, and system health Apply secure-by-design principles including IAM, encryption, network controls, and audit logging Work closely with AI engineers to translate prototypes and proof-of-concepts into production-ready, well-architected platform components What we're looking for Proven experience in platform, infrastructure, or software engineering roles delivering production-grade systems on AWS Strong hands-on Kubernetes experience, specifically with EKS (Elastic Kubernetes Service) and ECS (Elastic Container Service) in production environments Strong Terraform experience for infrastructure-as-code, provisioning and managing cloud infrastructure at scale Experience operating containerised services, managing CI/CD pipelines, and owning observability and reliability Familiarity with vector databases or search infrastructure (OpenSearch, Algolia) is a strong advantage Python proficiency for scripting, automation, and deploying production services Solid grasp of distributed systems, cloud-native architecture, microservices, and API design Ownership mindset - comfortable operating autonomously across reliability, performance, cost, and security Why join? You'll own the foundational platform infrastructure behind a growing suite of generative AI products, working directly with senior AI and engineering leaders. This is a deep technical ownership role with long-term architectural impact, within an organisation investing heavily in AI at scale. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.

Role: Informatica IDMC Developer Type: PERM Location: London, UK Working Model: Hybrid (2-3 days per week in office) Salary: 50K - 60K GBP/Annum We are seeking a highly skilled Senior IDMC Developer to design and implement robust cloud data integration solutions using Informatica IDMC (CDI and CAI). Key Requirements: 6-8 years of ETL/Data Integration experience. 2-3 years of hands-on experience with Informatica IDMC/IICS (Mandatory skill). Proven experience integrating with cloud platforms (AWS, Azure, GCP) and data warehouses like Snowflake or Databricks. Bachelor's degree in Computer Science, IT, or a related discipline. This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. Com Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

Senior Data Engineer Location: Wakefield or Manchester - Flexible hybrid working Salary: £70,000-£80,000 + benefits Elevation Tech & Transformation are exclusively working with a growing, PE-backed business that is building out its internal data capability and investing heavily in a modern cloud data platform. This is a brilliant opportunity for a Senior Data Engineer who wants more than just another pipeline-building role. You'll be joining at a key stage of the journey, helping bring data engineering capability in-house, shape standards, improve governance and build a platform that genuinely supports better reporting, insight and decision-making across a complex group. The business is made up of multiple operating companies, each with its own systems, processes and ways of working. The challenge is pulling that data together into a common platform and turning it into something useful, trusted and commercially valuable. You'll need to be technically strong, but this role is just as much about mindset. The right person will be comfortable working with stakeholders who may not fully understand their systems or data, asking the right questions, digging into problems and translating messy business requirements into practical engineering solutions. What you'll be doing Building and improving cloud-based data pipelines and data models Supporting the development of a modern data platform using Google Cloud Platform and BigQuery Working with stakeholders across the business to understand data sources, reporting needs and commercial priorities Helping bring outsourced data engineering capability in-house Creating better structure around change control, deployment, CI/CD and engineering standards Supporting data governance, security and quality as new sources are onboarded Identifying quick wins while also protecting the long-term quality of the platform Working closely with BI, reporting, integration and technology teams What we're looking for Strong data engineering experience in a cloud environment Experience with GCP, AWS or Azure Strong SQL and ideally Python Good understanding of data warehousing, data modelling and reporting/insight platforms Experience working with CI/CD, Git and structured deployment processes An understanding of modern cloud data platforms and warehousing technologies such as BigQuery, Snowflake, Redshift, Synapse or Databricks Ability to work autonomously and prioritise your own workload Confidence working with non-technical stakeholders A pragmatic approach - able to balance best practice with commercial delivery GCP and BigQuery experience would be highly beneficial, but strong cloud data engineers from AWS or Azure backgrounds will also be considered if you're interested in moving into GCP. Why this role? This is a chance to join a business where data is genuinely on the board agenda. The programme is highly visible, CEO-sponsored and seen as a key part of the company's future growth. You'll have the opportunity to shape how the platform develops, influence standards, work across a varied group of businesses and see the impact of your work quickly. It would suit someone who enjoys building, problem-solving and improving things - not someone who wants a heavily governed corporate environment where every decision has already been made. Benefits £70,000-£80,000 salary Hybrid working across either Manchester or Wakefield 25 days holiday plus bank holidays Salary sacrifice pension scheme Life assurance Employee discounts across retail, tech, travel, gyms and more Supportive team culture with plenty of scope to learn and develop Interested? Apply today or contact Helenna Bell for further information and to apply.

Hays are now looking for a Databricks Consultant / SME for one of our local clients: Flexible rate - Outside IR35 1 day a week in Swindon, the rest is WFH Initial 6 month contract (extensions likely) We're seeking a highly experienced Databricks specialist who can confidently navigate the platform end-to-end, including leading migrations from legacy setups using DBFS-mounted tables and Hive Metastore. You'll bring strong AWS knowledge, hands-on experience working with S3 via Python, a solid understanding of data storage formats, and practical Python development expertise. What you'll be doing Lead the migration of Databricks assets (notebooks, jobs, clusters) from DBFS to Unity Catalog Define and implement a scalable, standardised migration approach across teams Support teams with ad-hoc Databricks issues related to migration and platform usage Optimise the Databricks environment for structure, access, and governance Automate infrastructure and deployments using Terraform and/or CloudFormation Build and maintain data pipelines using Python, SQL and Databricks APIs Monitor platform performance using tools such as CloudWatch, Grafana, and Kibana Collaborate with engineering teams, stakeholders, and platform users What we're looking for Strong hands-on experience with Databricks in an AWS environment Proven experience with Unity Catalog and Databricks migrations Strong Python skills and experience working with Databricks APIs Solid understanding of data pipelines, SQL, and data platform architecture Experience with Infrastructure as Code (Terraform or CloudFormation) Knowledge of monitoring and observability tools (e.g. CloudWatch, Grafana, Kibana) Strong problem-solving skills and ability to work independently Excellent communication and stakeholder engagement skills Exposure to Databricks Apps or AI/ML workloads (nice to have) If you have previously led migrations to Unity Catalogue and you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or please send a copy of your CV to Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

PRINCIPAL AI CONSULTANT Remote role with travel to client sites as required Lead the delivery of enterprise-scale AI solutions for a growing consultancy Highly client-facing role with influence across strategy, architecture, and delivery Work with Azure AI Foundry, Databricks, MLOps, and cutting-edge agentic AI technologies ABOUT THE CLIENT We're partnering with a growing consultancy at the forefront of AI and data innovation, helping organisations unlock greater value through modern engineering and intelligent solutions. Due to continued growth, they are looking for a Principal AI Consultant to join the business and play a key role in shaping both client solutions and the wider AI capability. This is a highly consultative position suited to someone who is confident operating in client-facing environments and able to build trust quickly with senior stakeholders. THE BENEFITS Remote working with travel to client sites as required Opportunity to lead and grow a high-performing AI engineering team Exposure to cutting-edge AI technologies, including LLMs and agentic frameworks Work across a broad range of industries and enterprise-scale projects Strong focus on learning, innovation, and career progression Collaborative, people-first culture THE PRINCIPAL AI CONSULTANT ROLE You will act as both a technical leader and trusted advisor, helping clients navigate complex AI initiatives with confidence. This role requires someone who can simplify highly technical concepts, guide conversations with clarity, and create confidence amongst both technical and non-technical stakeholders. You will lead workshops, shape AI strategies, influence delivery decisions, and ensure solutions are scalable, secure, and commercially valuable. Alongside hands-on engineering leadership, you will mentor teams, define best practices, and help grow the wider AI capability. The successful candidate will be someone who naturally puts stakeholders at ease, commands credibility in the room, and thrives in environments where communication and relationship-building are just as important as technical expertise. PRINCIPAL AI CONSULTANT - ESSENTIAL SKILLS Previous experience working within a consultancy or client-facing environment Exceptional communication and stakeholder engagement skills Ability to influence and build trust with senior business and technical stakeholders Proven experience delivering AI solutions into production Strong Python/software engineering background Experience with Azure AI Foundry, Azure ML, Databricks, AWS SageMaker, Bedrock, or similar platforms Strong understanding of MLOps, CI/CD, observability, and production AI delivery Experience leading engineering teams and mentoring technical professionals Ability to lead workshops, shape solutions, and support decision-making in complex environments TO BE CONSIDERED Please either apply through this advert or email me directly via By applying for 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 AI Consulting, AI Engineering, Stakeholder Management, Python, Azure AI Foundry, Databricks, MLOps, AWS SageMaker, Bedrock, Machine Learning, Cloud, AI Strategy, Technical Leadership

Data Solution Architect - Databricks Location: UK Wide (Hybrid) Salary: Up to 110,000 + Bonus + Excellent Benefits Security Clearance: Must be eligible for SC Clearance The Opportunity We're recruiting for an experienced Data Solution Architect with strong Databricks expertise to join a leading technology consultancy delivering large-scale data, analytics, AI and cloud transformation programmes. This role will see you designing and delivering modern data platforms, working closely with clients and technical teams to build scalable, secure and high-performing solutions using Databricks, Apache Spark and cloud technologies. You'll also play a key role in pre-sales activities, solution design, and helping to drive strategic Databricks initiatives across the business. Key Responsibilities Design and architect Databricks-based data platforms and solutions. Build scalable data lakehouse and data warehouse architectures. Design data integration, transformation and analytics solutions. Support AI and Machine Learning use cases through modern data architectures. Collaborate with architects, engineers, data scientists and business stakeholders. Lead technical workshops and contribute to solution design activities. Support pre-sales engagements, proposals and client presentations. Drive best practice across Databricks and modern data platform delivery. Skills & Experience Required 7+ years' experience in Data Architecture or Solution Architecture. Strong commercial experience with Databricks and Apache Spark . Experience delivering enterprise data platforms on AWS, Azure or GCP. Strong understanding of data warehousing, data lakes and lakehouse architectures. Experience designing secure, scalable and governed data solutions. Excellent stakeholder management and communication skills. Experience supporting pre-sales, bids or solution shaping activities is highly desirable. Nice to Have Public sector experience. Databricks certifications. Cloud certifications (AWS, Azure or GCP). Experience with AI, Machine Learning or GenAI projects. What's on Offer? Up to 110,000 base salary Performance bonus Private healthcare Pension scheme Flexible hybrid working Ongoing training and certification support Exposure to enterprise-scale cloud, data and AI projects Clear progression opportunities Security Clearance Candidates must be eligible for SC Clearance , which typically requires continuous UK residency for the past 5 years. Apply If you're an experienced Data Solution Architect with strong Databricks expertise and are looking to work on large-scale cloud and data transformation programmes, we'd love to hear from you.

Data Engineer SQL London Location London, Hybrid, 3 days in the office each week (Monday, Tuesday and Wednesday) Salary 45,000 to 50,000 dependent on experience Ref J13133 We are looking for a Data Engineer to join an AI-first SaaS business developing next-generation analytics and decision intelligence products. Working alongside Product Managers, AI Engineers and Analysts, you will help build the data platforms, pipelines and models that power production AI solutions used by organisations across multiple sectors. What You'll Be Doing Building and maintaining data pipelines using SQL and Python Developing data models for analytics and AI applications Working with cloud platforms including Azure, AWS or GCP Supporting CI/CD processes and automated deployments Implementing data quality, monitoring and validation processes Collaborating with Product, Engineering and AI teams on new product development What We're Looking For Commercial Data Engineering experience Strong SQL skills Python experience Exposure to Azure, AWS or GCP Understanding of data modelling and data warehousing principles Experience working with Git and CI/CD processes Strong communication skills and a collaborative mindset Nice to Have SaaS or product development experience Exposure to AI or machine learning environments Experience with Databricks, Fabric or modern cloud data platforms The Opportunity Work on AI-powered products rather than internal reporting Join a collaborative product engineering team Exposure to modern cloud and AI technologies Opportunity to influence products used by real customers Excellent environment for learning and development For more information make an application today! Alternatively, 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. Datatech 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)

Databricks Data Engineer Salary: £40K - £50K Location: Manchester Role Overview: Our client is seeking a Data Engineer to support the development, optimisation and ongoing improvement of a modern cloud-based data platform. This role would suit someone with strong hands-on Databricks experience who enjoys building reliable data pipelines, improving how data flows through the business, and creating trusted datasets for reporting and analytics. You will work across technical and non-technical teams, helping turn data requirements into scalable solutions that are accurate, maintainable and easy for the business to use. Key Responsibilities: Build, enhance and maintain data pipelines within a Databricks environment. Use Spark, SQL and Python or Scala to support data transformation and automation. Develop structured data layers to support reporting, analytics and wider business use. Extract, ingest and integrate data from APIs, databases and other source systems. Build controls that help identify, investigate and resolve data issues before they affect reporting. Monitor data workflows and troubleshoot failures, performance issues and reliability problems. Work with BI and reporting teams to create clean, usable datasets for business consumption. Maintain clear technical documentation and support good practice around data structure, ownership and access. Support secure and appropriate use of data across the platform. Identify opportunities to simplify, automate and improve data engineering processes. What We're Looking For: Experience working as a Data Engineer within a modern cloud data environment. Strong hands-on experience with Databricks and Apache Spark. Experience building structured data layers, ideally within a Bronze, Silver and Gold architecture. Strong SQL skills for transformation, validation and analysis. Python or Scala experience for data engineering, automation or scripting. Experience ingesting and integrating data from APIs and source systems. Good understanding of data reliability, controls and issue resolution. Experience working with cloud data services such as Azure, AWS or GCP. Exposure to lakehouse technologies, workflow scheduling or reporting platforms would be beneficial. Strong communication skills, with the ability to work across technical teams and business users. Why Consider This Role? This is a strong opportunity for a Data Engineer who wants to take ownership of a business-critical data platform and play a key role in improving data quality, structure and reporting capability. You'll be joining an environment where data is central to decision-making, with the chance to improve pipelines, strengthen controls and help shape scalable data solutions that support long-term business growth. The role offers exposure to Databricks, cloud data engineering, structured data architecture, data improvement work and analytics-focused transformation within a hybrid Manchester-based environment. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Cyber Analytics Data Engineer £500-£560p/day (Inside IR35) 6 months initially Manchester (Hybrid) Our client is looking for a Cyber Analytics Data Engineer to join a specialist team delivering advanced analytics solutions within a cybersecurity environment. This role is ideal for someone who combines strong engineering capability with a solid understanding of the cyber domain. Key skills required: Strong Python development experience Databricks and PySpark expertise Experience with cloud-based data platforms (AWS, Azure and/or GCP) Data Engineering and analytics at scale Apache Spark ecosystems Cyber Security or Security Analytics experience CI/CD and automated deployment practices Strong stakeholder engagement and communication skills You will play a key role in supproting junior team members too, whilst collaborating with a range of cyber functions. If this sounds of interest, apply now! Cyber Analytics Data Engineer £500-£560p/day (Inside IR35) 6 months initially Manchester (Hybrid) Oscar Associates (UK) Limited is acting as an Employment Business in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Data Engineer (Streaming) - Requirements Strong coding in Java (preferred) or Python Experience with Kafka, Flink, or Spark (Flink/Kafka ideal) Solid understanding of stream processing (event time, state, backpressure) Experience building ETL/ELT or real-time data pipelines Knowledge of microservices and distributed systems Tech & Cloud Experience with AWS, Azure, or GCP (AWS preferred) Familiarity with Databricks, Snowflake, or BigQuery Engineering Practices Strong in testing, CI/CD, Git Experience with Terraform, Docker, Kubernetes Experience 3+ years in data engineering Agile experience and strong communication skills Nice to Have Consulting/client-facing experience Real-time/low-latency systems Certifications or mentoring experience Details 12 month FTC, very likely to convert to perm Upto 3 days per week in Newcastle Pay dependant on experience SC Clearance Essential