87 jobs found

Python Developer / Backend Software Engineer (FastAPI SQL Databricks) London to £95k Are you a data centric Python Developer with strong SQL and FastAPI skills? You could be progressing your career in a senior, hands-on role at a fast growing, global Insurance Underwriting technology provider that focusses on developing a complex SaaS calculation platform for rapidly growing Cyber Security insurance click apply for full job details

Senior Data Engineer - up to 58,000 - Hybrid (Newport 1 day a week) The Opportunity Yolk Recruitment Public Sector & Not-for-Profit team has partnered with a specialised Civil Service Organisation who are presently undergoing an interesting transformation into the cloud space. We are supporting them to recruit a Senior Data Engineer. This role is ideal for any data engineer who has extensive experience with Azure Data Factory and Python. What the Senior Data Engineer will be doing You will be supporting the Data Engineering Lead and working closely with the Data Management and Business Intelligence teams in order to build solutions, pipelines and plans using the current frameworks and toolkits. Help develop world class data engineering capabilities Own data engineering artefacts for data pipelines you will build Prioritise data enhancements and plans alongside the IPO teams Ensure the ease of data movement internally and externally What the successful Senior Data Engineer will bring to the team You will have actively used Azure Data Factory (ADF) and DataBricks as well as being proficient in Python. Evidence of designing coding testing and correcting simple programs and scripts. Ability to design solutions that are scalable and future-proof data services. Experience cleansing data sets then formatting and preparing them Experience of Data Modelling and Data Governance Here's What You'll Get in Return Pension scheme up to 27.9% Salary of up to 58,000 Full Flexi-Time - Work your 37.5 hours on any schedule between 5am and 10pm Accrued Time - If you work 37.5 hours in 4 days, you can have the fifth day off Unlimited Pluralsight learning videos 25 Days annual leave PLUS Bank Holidays (Increasing to 30 days) Think this one's for you If you think this Senior Data Engineer opportunity is for you then please apply online. Yolk Public Sector & Not-for-Profit team works with organisations across the UK to fulfil their recruitment needs and to achieve their D&I objectives. We recruit temporary, contract and permanent hires for 1 off specialist needs or for volume campaigns. We support our applicants to navigate the public sector recruitment processes and secure their dream jobs. Yolk Recruitment is an equal opportunities employer and embraces diversity in our workforce. We employ the best people for the job at hand and actively encourage applications from all qualified candidates, regardless of gender, age, race, religion, sexual orientation, disability, educational background, parental status, gender identity or any other protected characteristic. We champion and celebrate diversity at Yolk allowing our team to bring their whole selves to work.

Platform Engineer (AWS / Databricks) London (Hybrid) 6 Month Contract £600/day (Inside IR35) Platform Engineer needed with strong AWS, Databricks and Unity Catalog experience. Start ASAP in May/June 2026. 6 Month Rolling Contract based in London (Hybrid), with occasional travel to the Leeds office. Hybrid Working - 3-4 days/week remote (WFH) + 1-2 days/week working from the office in London . A chance to work with a leading global IT transformation business specialising in large-scale Government projects: Supporting secure integration between AWS hosted data sources, Databricks workspaces and downstream enterprise data platforms. Design and support secure integration across AWS S3, Databricks and downstream data platforms. Strong hands-on experience with AWS IAM, S3, KMS and secure cloud access patterns. Hands-on Databricks on AWS experience, including Hive Metastore, Delta tables, SQL Warehouse and workspace access controls. Practical Unity Catalog experience, including grants, external locations, storage credentials and governed data access. Scope includes data held in S3, registered through Databricks Hive Metastore, governed or exposed through Unity Catalog, and consumed through approved connector-based patterns. Configure least-privilege access to S3 using IAM roles, bucket policies, KMS permissions and approved access controls. Support Databricks access patterns where S3-backed data is registered through Hive Metastore and exposed or migrated into Unity Catalog. Configure and validate Unity Catalog objects, including catalogs, schemas, tables, views, grants, storage credentials and external locations. Support downstream connectivity to Databricks using SQL Warehouse, tables, views or connector-based integration patterns. Develop Terraform/IaC for AWS IAM, S3, KMS and Databricks-related configuration. Troubleshoot access, metadata, schema, query and connectivity issues across AWS, Databricks and downstream integrations. Technical Environment: AWS, Databricks, Unity Catalog, Palantir Foundry, Terraform, IaC, Delta, Parquet, CSV, JSON, Python, PySpark, SQL, CI/CD, GitLab, GitHub Actions.

Finance Data Design Lead - Insurance Transformation Contract Outside IR35 London (Hybrid) We are supporting a large-scale insurance transformation programme entering a critical delivery phase and are looking to engage an experienced Finance Data Design Lead. This role sits at the centre of delivery, bridging architecture and engineering, and will play a key part in shaping and implementing complex finance and actuarial data solutions. The Role You will be responsible for translating high-level architecture into detailed, implementable designs across finance, actuarial and regulatory reporting data domains. Key responsibilities include: Designing finance data models (including IFRS17, actuarial and sub-ledger structures) Defining data pipelines and processing logic within cloud data platforms Establishing reconciliation and control frameworks across reporting outputs Working closely with architecture, engineering and platform teams to ensure alignment Embedding data quality, governance and auditability across solutions Experience Required Strong experience in insurance data environments (essential) Proven track record delivering finance or actuarial data solutions Experience with IFRS17, regulatory or statutory reporting Hands-on exposure to Databricks, Spark and Python-based pipelines Ability to operate effectively within large-scale, complex programmes Engagement Details Contract: Outside IR35 Day Rate: 900 - 1,100 (flexible depending on experience) Duration: 6-12 months Location: London (3 days per week onsite) This opportunity would suit someone who is comfortable operating in a fast-paced delivery environment, taking ownership of detailed design and driving outcomes. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Platform Engineer (Palantir Foundry) London (Hybrid) 6 Month Contract £600/day (Inside IR35) Platform Engineer needed with strong Palantir Foundry and Databricks on AWS. Start ASAP in May/June 2026. 6 Month Rolling Contract based in London (Hybrid), with occasional travel to the Leeds office. Hybrid Working - 3-4 days/week remote (WFH) + 1-2 days/week working from the office in London . A chance to work with a leading global IT transformation business specialising in large-scale Government projects: Configure + support secure integration between Palantir Foundry and Databricks on AWS. Scope includes data held in S3, registered through Databricks Hive Metastore, governed or exposed through Unity Catalog, and consumed by Foundry using the Databricks connector or approved ingestion patterns. Hands-on Palantir Foundry experience, including connectors, Data Connection, datasets, syncs, projects and permissions. Experience configuring or supporting the Palantir Foundry Databricks connectors. Strong Databricks on AWS experience, including SQL Warehouse, clusters, tables, views and access controls. Good understanding of Hive Metastore and Unity Catalog, including catalogs, schemas, grants, storage credentials and external locations. Strong AWS IAM, S3, KMS, bucket policy and cross-account access experience. Set up and validate the Foundry Databricks connector for approved SQL Warehouses, tables, views and Unity Catalog-governed objects. Support end-to-end access from AWS S3 sources through Hive Metastore and Unity Catalog into Foundry datasets or products. Configure Foundry Data Connection, datasets, syncs, projects, permissions and lineage as required. Work with AWS teams to define IAM roles, S3 bucket policies, KMS permissions and approved cross account access patterns. Troubleshoot Foundry connector failures, Databricks authentication issues, Unity Catalog grants, schema mismatches and query failures. Technical Environment : Palantir Foundry, Foundry Virtual Tables, Ontology, Workshop, Pipeline Builder, Code Repositories, AWS, Databricks, Terraform, IaC, Delta Lake, Parquet, Iceberg, CSV, JSON, Python, PySpark, SQL, CI/CD, GitLab, GitHub Actions.

Finance Data Engineering Lead - Insurance Programme Contract Outside IR35 London (Hybrid) We are working with a leading insurance organisation seeking a Finance Data Engineering Lead to join a major programme at a critical stage of delivery. This is a hands-on role focused on building and delivering data solutions within an established cloud data environment. The Role You will play a key role in developing and deploying finance and actuarial data pipelines, supporting reporting, analytics and reconciliation capabilities. Key responsibilities include: Developing Python / PySpark data pipelines within cloud platforms Building datasets and models for finance, actuarial and risk reporting Integrating with existing data ingestion and orchestration frameworks Supporting reconciliation, validation and data quality processes Collaborating with design and architecture teams to deliver aligned solutions Experience Required Strong experience as a Data Engineer within insurance (essential) Proficiency in Python, PySpark and Spark-based processing Experience working with Databricks or similar cloud data platforms Exposure to finance, actuarial or regulatory reporting data Ability to operate within live programme environments and deliver at pace Engagement Details Contract: Outside IR35 Day Rate: 750 - 950 (flexible for strong profiles) Duration: 6-12 months Location: London (3 days per week onsite) This role is ideal for someone who enjoys hands-on delivery, working within established environments, and contributing to high-impact programmes. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

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.

Data Solutions Architect Salary: 90K - 100K London (Hybrid) At Data Idols, we are working with a large-scale, data-driven organisation investing heavily in its data platform, analytics and AI capabilities. They are now looking for a Data Solutions Architect to provide design and architecture guidance across a broad portfolio of data initiatives. The Opportunity This is a senior architecture role focused on shaping how data solutions are designed and delivered across a complex enterprise data estate. You will work closely with product owners, engineering leads, data teams and senior stakeholders to understand business requirements and translate them into clear, robust high-level designs for engineering teams to build. The role is not focused on hands-on delivery. Instead, you will be responsible for articulating solution designs, documenting key decisions, defining reusable patterns and ensuring consistency across a shared data platform. You will support a modern cloud data platform, with exposure to areas such as analytics, reporting, data science, AI use cases and increasingly real-time data capabilities. Skills and experience Strong experience designing secure, scalable data solutions in complex environments Experience working with Azure-based data platforms Experience with Databricks or similar modern data platforms Good understanding of data warehouse, data lake or lakehouse architectures If you are looking for a new challenge and want to help shape data solutions across a large-scale cloud data platform, please submit your CV for initial screening and further details. Data Solutions Architect

An exciting technology-led organisation in London is looking for a Lead Data Engineer to join their growing platform team as they continue to build out their data and analytics capability. Based in: London Hybrid working: 1-2 days a week in the office Permanent role Start date: ASAP Salary: Up to £75k per annum The Job As the Lead Data Engineer , your responsibilities will include: Leading the design and delivery of a modern cloud data platform supporting analytics, AI and client-facing data products Owning data pipeline architecture across ingestion, transformation and data product layers Setting and maintaining data engineering standards, patterns and best practices across squads Mentoring and leading a small team of Data Engineers and working closely with Analytics Engineers and Data Scientists Remaining hands-on with complex technical delivery, architecture decisions and code reviews Defining CI/CD, testing, observability and infrastructure-as-code standards for data pipelines Ensuring strong data governance, security controls and compliance across all datasets Partnering with Product and commercial teams on data initiatives and client data onboarding Supporting analytics, BI and AI/ML use cases with well-structured, documented and reliable data models You 5+ years' experience in data engineering or data platform roles Strong hands-on experience with SQL, Python and distributed data processing Proven experience building and operating modern cloud data platforms Experience with technologies such as Snowflake, Databricks and Power BI Strong understanding of CI/CD, infrastructure-as-code and data quality practices Solid knowledge of data security, access controls and governance Comfortable operating as a hands-on technical leader , mentoring others and influencing standards Strong stakeholder communication skills Apply Now You can apply for the Lead Data Engineer position now by sending us your CV or by calling us today. Don't forget to register as a candidate too. Amy Brown Principal Managing Consultant Sphere Digital Recruitment currently has a variety of job opportunities across digital, so feel free to get in touch to find out how we can help you. Please take a look at our website. Sphere is an equal opportunities employer. We encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law. Sphere Digital Recruitment currently have a variety of job opportunities across digital so feel free to get in touch with us to find out how we can help you. Please take a look at our website. Sphere is an equal opportunities employer. We encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law. If you require any adjustments or additional support during the recruitment process for any reason whatsoever, please let us know.

Role: Data Solutions Architect (SC Cleared) Contract: 3-6 months initial Day rate: 500pd- 550pd (Inside IR35) Location: London (Hybrid working) We are working with a large-scale consultancy who require a Data Solutions Architect to work on an Azure Data project. The role will require someone who is SC Cleared and will be hybrid working, based in London. Responsibilities: Design secure, scalable data solutions across application, data, integration, infrastructure and security domains. Architect cloud data platforms and analytics stacks (e.g. Azure Databricks, Microsoft Fabric) including distributed processing (Spark). Translate functional and non-functional requirements (security, performance, availability, resilience) into resilient target architectures. Define current-state, target-state and transition architectures, including phased roadmaps and dependency-aware migration plans. Apply platform engineering practices (IaC, CI/CD, DevOps) aligned to landing-zone/enterprise-scale guardrails (e.g. Azure CAF). Design modern enterprise integration patterns (APIs, event-driven and service-based approaches). Produce clear, auditable artefacts for governance and assurance (HLD/LLD, ADRs, options appraisals). Act as design authority lead design reviews/ARBs, communicate trade-offs, and support build-phase conformance. Support delivery reporting/RAID, knowledge transfer, capability uplift, and exit/transition planning with complete handover documentation. Essential requirements Active SC clearance and experience working in regulated environments. Strong solution architecture background across data, cloud, security and integration. Hands-on knowledge of Azure data services, Databricks/Fabric, and modern analytics patterns. Ability to create and defend architecture artefacts and influence senior technical stakeholders. Please note, to be successful for the role and due to time frames, you must hold active SC Clearance. If you are interested in the role provide an up to date CV for consideration and apply now!

Data Platform Manager UK / Remote Circa 70k per annum + 15% bonus & benefits Are you ready to take ownership of a data platform and shape how data drives business decisions? This is a rare opportunity to step into a leadership role where you'll combine hands-on data engineering with strategic product management, all while building and mentoring a high-performing team. You'll play a pivotal role in evolving a modern data platform (Microsoft Fabric / Azure Synapse), ensuring it delivers real business value, scalability, and innovation. If you're passionate about data, leadership, and building robust data solutions-this is one you don't want to miss. What you'll be doing Own the end-to-end lifecycle of a core data platform, from design and build through to release, optimisation, and retirement Collaborate closely with product owners and data scientists to align platform capabilities with business needs Lead datalake migration initiatives, including consolidation of legacy data, medallion architecture design, schema evolution, and cutover planning Provide hands-on data engineering expertise, building and optimising PySpark pipelines Ensure data is secure, high-quality, accessible, and structured for maximum business value Drive best practice in data governance, cataloguing, lineage, and standards across the organisation Promote data re-use and reduce duplication across systems Oversee ETL processes, data integration, and BI architecture Manage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiatives Work closely with stakeholders across operations, analytics, and reporting teams Ensure compliance with data protection regulations and internal policies What you'll bring Strong hands-on experience in data engineering, including PySpark and production data pipelines Experience with Microsoft Fabric, Azure Synapse, or similar platforms (e.g. Databricks, AWS) Proven ability to design and manage scalable data pipelines, models, and schemas Solid SQL and relational database expertise Experience with datalake migration concepts (medallion architecture, incremental loads, backfill, cutover) Strong understanding of data governance, quality, and lifecycle management Experience with BI tools such as Power BI or Tableau Knowledge of DevOps practices (Git, Azure DevOps, CI/CD pipelines) Strong Python skills and experience with APIs/data integration tools Understanding of data protection regulations Leadership experience with the ability to mentor and develop teams Excellent communication, problem-solving, and stakeholder management skills Desirable: Experience with project management methodologies, SDLC tools, and awareness of emerging data trends If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Product Manager, Data Engineering Lead, Lead Data Engineer, Azure Data Engineer, Data Platform Manager, Analytics Engineering Manager, Cloud Data Engineer, BI & Data Lead, PySpark Engineer, Databricks Engineer, Head of Data Engineering. 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.

Delivery Lead Enterprise Data Platform London Hybrid £90,000 £100,000 + Benefits VIQU is working with a leading financial services organisation to recruit a Delivery Lead to own the end-to-end delivery of complex data engineering and platform initiatives on their Azure-based Enterprise Data Platform. This role will focus on delivering platform enhancements, automation, and data governance , ensuring alignment with the business and regulatory requirements, and driving measurable business outcomes. Key Responsibilities: • Lead delivery of Azure cloud platform enhancements and automation, including integration with RDM/MDM and data quality tooling • Implement and operationalize data governance and data cataloguing using Microsoft Purview and Ataccama, including RBAC/ABAC, PII/DLP, metadata standards, business glossaries, and schema evolution • Define scope and objectives for platform and data engineering initiatives, and deliver structured, risk-managed, and Agile delivery plans • Oversee incremental release of platform features, ensuring alignment with timelines, scope, and budgets • Identify, manage, and mitigate risks, interdependencies, and issues across multiple workstreams • Act as the primary point of contact for stakeholders, ensuring alignment between business and technical teams • Support change management processes for new feature releases • Apply insurance domain knowledge to guide delivery of compliant and reliable data solutions Key Requirements: • Proven experience delivering data governance and data cataloguing initiatives end-to-end • Hands-on experience with Microsoft Purview • Strong Azure Data Platform experience: ADLS Gen2, Azure Databricks, Data Factory • Hands-on data engineering experience (Spark / PySpark, Delta Lake) • Knowledge of security and compliance controls, GDPR, PII/DLP, RBAC/ABAC • Experience leading Agile teams and managing risks, dependencies, and senior stakeholders • Strong communication skills and ability to collaborate across cross-functional teams To apply: Please reach out via LinkedIn to Phoebe Rees or apply via the VIQU website. Know someone suitable? You could earn up to £1,000 if your referral is successful (T&Cs apply).

We are seeking a Data & AI Technical Lead to drive the Discovery & Design phase of a large-scale M&A program for a Retail & CPG client. This role will lead the technical direction across a complex, multi-cloud data landscape spanning Azure, AWS, GCP, Databricks, and Snowflake. You will oversee and guide senior Data Architects, ensuring architectural alignment, technical quality, and business relevance. The role sits at the intersection of business strategy, data architecture, and platform engineering, acting as a key liaison between client stakeholders, IT teams, and the Chief Data Office. Required Skills & Experience Core Technical Expertise 15+ years in Data & Analytics, with 5+ years in leadership roles Strong hands-on experience across: Azure cloud, ADF, DevOps, Power BI, Fabric workspaces AWS cloud, S3, cross-cloud connectivity, API Gateways GCP (BigQuery, GCS, Dataflow) Deep expertise in: Databricks (Lakehouse architecture, Delta Lake, Unity Catalog, Delta Sharing, Pyspark, Spark SQL etc.) Snowflake (data warehousing & data sharing, Iceberg, ) Strong understanding of: Data architecture patterns, industry benchmarking, Data integration patterns (ETL/ELT, streaming, CDC, APIs) Data governance & metadata management Architecture & M&A Experience Proven experience in M&A data integration, platform consolidation, or carve-outs Experience designing multi-cloud or hybrid data architectures Familiarity with enterprise architecture frameworks (TOGAF or equivalent) Leadership & Stakeholder Skills Experience managing or leading senior architects or technical teams Strong communication skills with the ability to influence C-level stakeholders Ability to bridge business strategy and technical execution Experience working in consulting or client-facing roles

Lead Data Platform Specialist - Up to 85k + c.15% Bonus Fully Remote - Condensed & flexible hours available (4 day working week available - 9 out of 10, etc.) My client, a nation-wide organisation with a reputation for excellence and a supportive, inclusive culture, is seeking a Lead Data Platform Engineer to join their Data Engineering and Machine Learning team. This is a high-impact, senior role, ideal for someone with deep experience in modern cloud data platforms, looking to shape and deliver a scalable, secure, and innovative data platform. You need to have strong experience working with Databricks You'll play a pivotal role in designing, building, and optimising their Azure-based Data Lakehouse, with a focus on Databricks, PySpark, Spark SQL, and Azure Data Factory. This isn't just about coding - you'll also provide architectural guidance, mentor engineers, and ensure solutions are scalable, secure, and aligned with business needs. Hands-on experience with CI/CD, automation, and infrastructure-as-code (Terraform, ARM templates) is essential. Experience in machine learning platforms or ML engineering is a bonus. Key Responsibilities: Build and maintain the Data Lakehouse platform in a secure Azure environment Develop automation for cluster management, integration runtimes, and networking Lead architectural design and ensure platform scalability, reliability, and governance Write efficient, maintainable code in PySpark, Python, and SQL Implement CI/CD pipelines and cloud infrastructure via Terraform/ARM Collaborate with data engineers, architects, and business stakeholders Mentor and coach engineers, fostering a culture of learning and excellence Essential Skills: Deep experience in Databricks, Azure Data Factory, and Lakehouse architecture Strong solution architecture and data platform engineering skills DevOps and automation expertise, including CI/CD, monitoring, and code quality Infrastructure-as-code (Terraform or ARM templates) for cloud resource provisioning Excellent communication and mentoring skills It's not often a role comes along in a team like this, where you get the chance to flex or condense hours, receive a strong salary with a bonus, potential for growth, independence and autonomy, and a clear pathway of progression. You'll get Private medical options, 25 days holiday, plus bank holiday, and the chance to buy/sell holiday. This is a rare opportunity to join a forward-thinking team at a leading organisation, working fully remotely with flexibility and excellent benefits. You'll be shaping the future of their data platform while collaborating with a talented and diverse team. To apply, please submit your CV as we are looking to move quickly on this role. 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.

ETL Data Engineer/Data Architect - Azure Stack We are looking for an experienced ETL Data Engineer / Data Architect to deliver projects in collaboration with our IT partners and internal stakeholders that will transform our product landscape. This role is hands-on so you would be expected to contribute to ETL development as well data architecture. You will be taking business requirements from stuctured data sets from the research teams and and transforming into technical documents. Essential Skills Educated to degree level in a relevant IT subject. Expertise in designing and implementing data pipelines using Azure services (Azure Data Factory, Data storage), Spark and Databricks. Expertise in data modelling, database design and designing enterprise data architecture . Azure Data Stack SQL server, NoSQL, Nanobricks, ADT, Spark, Data Tables. API, PostgreSQL Knowledge of ETL/ELT frameworks and data integration patterns with programming experience with Python or PySpark. Data modelling Used to working with product teams Ability to collaborate and communicate with stakeholders and product manager Desirable Skills Experience of the life sciences sector Experience working with structured and semi-structured data, preferably having worked previously with a variety of life science data (e.g. omics, health records) . Key Duties Deliver data pipelines or products that support our business operations and research, providing clear documentation on specifications and having a deep understanding of each solution at the data, technical and business process levels. Implement data engineering best practices to standardise the development process. Design and maintain data integration frameworks for multiple data sources (e.g. practice management systems, lab systems, registries). Be responsible for ensuring that high quality data is presented from the products to our researchers, and data dictionaries are maintained in the data catalogue. The role offers hybrid working with only one day a week required on site near Nottingham. This is a great opportunity to secure a long term contract working for a global brand. So don't delay and apply ASAP as I have interview slots ready to be filled. Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Salesforce Data 360 Architect 6 Months Mostly remote- 3-4 days per month in London Market rate (Inside IR35) Due to the nature of the client and the role, the selected candidate will have ACTIVE SC Clearance My client, a government body are seeking a Salesforce Data Cloud Architect to join their Salesforce Practice in UK&I. This role will play a key part in driving data driven innovations, providing data-driven insights and enabling data-driven decision-making for our enterprise customers. Key Responsibilities Lead Salesforce Data Cloud solution design and implementation Act as the SME for Salesforce Data Cloud/Data 360 Design scalable data models, integrations, and customer data strategies Work with stakeholders to translate business requirements into technical solutions Support pre-sales, solution estimation, and best practice guidance Provide technical leadership across full project lifecycles Mentor teams and drive knowledge sharing Required Experience Strong hands-on Salesforce Data Cloud experience Data Streams Identity Resolution Segmentation & Activations Unified Data Model Transformations & Insights Experience delivering end-to-end Salesforce Data Cloud implementations Strong integration experience (REST APIs, ETL, third-party platforms) Solid SQL and data architecture knowledge Experience integrating with platforms such as Snowflake, Databricks, AWS, BigQuery, or Tableau Salesforce Data Cloud Consultant certification Nice to Have Experience with Sales Cloud, Service Cloud, Marketing Cloud, Commerce Cloud, or Loyalty Management Additional Salesforce certifications Cloud platform knowledge (AWS, Azure, GCP) Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

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. 49914MSR2 INDLON The Portfolio Group are acting on behalf of our client in recruiting for this position.

Senior AI Engineer Location: UK Remote (UK-based candidates only) Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior AI Engineer to help design, build, and scale production-grade AI systems and data platforms used across enterprise environments. This is an opportunity to join a collaborative engineering function focused on building robust AI pipelines, transformation APIs, and scalable backend services that support advanced analytics and machine learning products. The Role As a Senior AI Engineer, you will work closely with Data Scientists and cross-functional technical teams to productionise machine learning models and develop high-performance AI services. You'll contribute across the full engineering lifecycle-from system design and integration through to deployment, monitoring, and optimisation within cloud-native environments. Key Responsibilities Design and maintain scalable AI pipelines and processing workflows Develop and optimise RESTful APIs and microservices for AI services Build cloud-native backend systems aligned with best engineering practices Collaborate with Data Scientists to productionise ML models Improve system performance, observability, reliability, and security Contribute to CI/CD pipelines, automated testing, and infrastructure automation Support integration and interoperability across enterprise platforms Translate technical requirements into scalable, maintainable solutions Required Skills & Experience Strong experience in backend, data, or ML engineering Advanced Python skills and experience with FastAPI, Flask, or Django Experience building scalable APIs and microservices Strong SQL and relational database knowledge (PostgreSQL preferred) Experience with AWS and/or Azure cloud environments Understanding of distributed systems and scalable architectures Exposure to machine learning, NLP, or AI-driven systems Experience with CI/CD pipelines, testing, and containerisation Strong problem-solving and communication skills Technology Stack Python, SQL, FastAPI, PyTorch, Transformers/LLMs, Terraform, Databricks, Kubernetes, AWS, Azure, PostgreSQL, Kafka, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote working within the UK Opportunity to work on cutting-edge AI and machine learning systems Collaborative engineering environment Exposure to modern cloud and AI technologies Strong career growth opportunities within a growing AI function