The Team & Focus of the Role

This opportunity has arisen to support the development and growth of systems within Fisher German’s growing utilities department. The role will work closely with our land referencing and Geospatial teams to support the development and on boarding of clients and teams to our new project management system. Supporting future growth opportunities that align with our road map for systems in the division, the exciting role will be pivotal in our decision-making process.

Fisher German hold and maintain datasets from across the division for projects we are working on for clients large and small. We have been developing a central project management system to migrate all of our historic systems and databases into, which incorporates GIS mapping. The new system is still undergoing development whilst we begin to migrate projects over to it. With this the need has arisen for someone to support both the development but also migration process for this alongside providing user support and training. This role will be quite varied and will require strong data and technical skills alongside being driven and proactive in helping to make this transition period run smoothly.

The role will be internal facing but will include involvement with all client teams across the division to ensure data consistency and accuracy. Some involvement with our developer teams and external providers will also be required to ensure the system meets the ever-growing requirements of our clients.

This exciting role will be a great opportunity to help evolve our systems as a whole and help to steer the direction of our roadmap.

Duties will include:

· Managing user feedback and queries /troubleshooting issues

· Being responsible for and helping to deliver training which is system specific.

· Managing and assisting with data manipulation and cleansing to support project migration.

· Support with development and enterprise future plans for systems.

· Providing an interface between system users, the developers and product owner to support requirement gathering.

· Carrying out robust system testing for both new and old systems and also supporting our Senior Integrated Systems Analyst where needed

The successful candidate will have…

Essential

· Strong database or systems experience and skills.

· Able to manage workloads effectively.

· Strong communication skills and able to communicate with both internal users and internal and external developers.

· Strong excel knowledge and experience.

· FME experience in writing routines and using them.

Desirable

· Understanding of some programming languages ie. Javascript/ python

· Experience working on different platform ie. azure / power platforms

Why Fisher German?

We’ve been around for a while, but it doesn’t mean we are behind the times! Across our office network we offer a hybrid working approach to help our colleagues design their working day to suit their diaries. Some days you might be in the office enjoying a collaborative team day, and other days might see you focussing on project work at home. Wherever you choose to work, you’ll be part of a social and digitally connected workforce with the chance to get involved in a variety of activities, like sports events, pop-up bars, BBQs, CPD days, live leadership updates on Zoom, picnics in the park and lots more.

What’s not to love? We work hard but we also have lots of fun! If that sounds like something you would enjoy, then please get in touch.

We have a history going back as far as 1830 but have been Fisher German since 2000. We operate UK wide advising and managing a range of client portfolios with national visibility across all the 6-property market sectors; rural, commercial, development, residential, infrastructure services and sustainable energy.

Bring Yourself to Work

It’s simple really, we are passionate about what we do, and we want you to be driven to succeed with us. For this to happen, you need to feel supported and included which is why we’re proud to be an Equal Opportunities Employer

Automation Data Tester (Data QA Engineer)

Fully Remote

£260 per day

Outside IR35

6-month contract

Must have UK Citizenship or ILR (no Tier 2 dependent visas)

Harvey Nash’s client is looking for an experienced Data QA Engineer .

You’ll join a collaborative Data Engineering team, working closely with developers and architects to deliver high-quality, accurate, and reliable data solutions.

Role duties:

Designing and executing test cases across SQL databases and tables

Performing data validation, verification, and integrity checks

Ensuring data accuracy (types, columns, duplicates, field issues, etc.)

Implementing automated data testing processes

Producing clear test plans, reports, and documentation

Working closely with data engineers and software teams to resolve issues quickly

Understanding data structures and proposing improvements

Essential:

Strong SQL experience (including Stored Procedures)

Experience with Microsoft Azure (especially Azure Data Factory )

Experience working with configuration/parameter files (JSON, YAML)

Desirable:

Knowledge of Git (GitHub, GitLab, Bitbucket)

Python skills

Person Specification:

Detail-orientated and diligent

A clear and confident communicator

A self-starter comfortable working independently

Passionate about delivering genuine value to clients

Able to collaborate effectively within cross-functional teams

TPBN1_UKTJ

We are seeking an experienced Implementation Consultant who has built pensions calculators and has credible system programming and implementation skills. Who can confidently code complex pension scheme rules into accurate calculation logic while ensuring compliance with UK pensions legislation. Who also has strong analytical capability and prioritisation to work across multiple parallel workstreams and deliver on time.

You will design and deliver automated pensions calculation frameworks using T-SQL, SQL, XML and supporting scripting tools. You will collaborate with project teams and clients to develop and implement pension calculators that offer automation to support users, reduce risks and improve overall pension member servicing. You will produce technical specifications, configure system functionality, run tests and ensure all automated outcomes are accurate, compliant and aligned to client requirements.

What youll be doing as an Implementation Consultant:

• Configuring, implementing and maintaining pensions benefit calculator systems (DB, DC, GMP equalisation, valuations).
• Coding calculator logic using SQL, T-SQL, XML and related scripting tools.
• Configuring workflows, data dashboards, interfaces, payroll components, data migration and reports.
• Hosting workshops with clients to understand requirements, create structured specifications and set out clear implementation schedules.
• Providing regular updates to clients on implementation progress, actions and providing flexibility to developing requirements.
• Taking ownership of multiple workstreams and collaborating with internal project teams to ensure delivery expectations are met.
• Customising the administration system to be user friendly and meet unique requirements.
• Supporting software releases, upgrades and testing cycles and training workshops.
• Producing documentation and maintaining strong client and team relationships.

What were looking for in an Implementation Consultant:

• Experience developing pensions calculators for DB and DC pension schemes.
• Proven ability to code or develop system tools for pensions and financial processes.
• Proficiency with T-SQL, SQL Server Management Studio, XML and Microsoft tools.
• High degree of numeracy and analytical skill.
• Excellent communication, organisation and stakeholder engagement skills.
• Experience working with pensions administration systems.
• Programming or scripting experience (macros or equivalent).

Core hours: Monday to Friday. 37.5 hours per week.
Location: Remote, with occasional UK travel.
Day rate: Competitive via umbrella contract dependant on experience.
Duration: 6 months with opportunity to extend.

To apply for this role as Implementation Consultant, click apply now!

Please note any offer is subject to satisfactory pre-employment screening checks. These consist of employment, activity & GAP verification, DBS or Access NI, Credit, Sanctions & CIFAS checks.

We are committed to equality of opportunity for all hires and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.

To help you stay safe in your job search we will never ask for your bank details at the application stage.

Candidate Source Ltd is an advertising agency. Once you have submitted your application it will be passed to the third party Recruiter who is responsible for processing your application. This will include holding and sharing your personal data, our legal basis for this is legitimate interest subject to your declared interest in a job. Our privacy policy can be found on our website and we can be contacted to confirm who your application has been forwarded to.

Farringdon hybrid working available

Were looking for a driven Data & Information Architect to help evolve our data and information architecture and support the delivery of our data-driven transformation. Reporting to the Head of Business Intelligence & Analytics, youll play a vital role in reviewing and improving our data flows, shaping our future-state architecture, and unlocking the value of our data assets

In this role, youll work in close collaboration with our Technology and Transformation teams and represent the Data & BI team across key forums, acting as a bridge between technical and business stakeholders.

If youre motivated by enhancing data practices, collaborating across cross-functional teams, and helping shape a robust and scalable data architecture, this role offers the opportunity to make a meaningful impact!

Location: Hybrid 2 days a week at our Farringdon office

What youll do

• Develop and implement the organization’s data and information architecture maturity plan, in alignment with the Technology and Transformation Strategy
• Evolve the as-is Data flow diagrams to a more comprehensive data & information architecture.
• Identify and align data types (Master, Transactional, Reference etc), systems/applications, Sub domains
• Define data standards, naming conventions, and data classification policies to ensure consistent and accurate data management practices.
• Collaborate with Data Engineers, Data Quality Engineers and Data Warehouse Engineer to design and optimize database structures, data warehouses, and data lakes for efficient and scalable data storage, computing and retrieval.
• Coach, develop, line manage Junior data architect.

What you’ll need

• Experience with data modelling and data governance (including use of tools)
• Experience with cloud-based data platforms (e.g. Azure, AWS, GCP), and relational databases (e.g. Oracle, SQL Server)
• Demonstrable experience with Microsoft Fabric Clear understanding of data security, privacy, and compliance requirements
• Demonstration of an ability to manage multiple projects (and prioritise them)
• Excellent stakeholder management skills, strong communication and an ability to translate business requirements into data solutions
• An ability to collaborate effectively with cross-functional teams.

In your supporting statement, it is important that you address how you meet each of the abovecriteriaproviding real examples.

Closing date: 20th March 2026 at 23:59pm. Please note, we reserve the right to close the advert early if we receive a high volume of applications.

About us

At Southern Housing, our residents are at theheartof everything we do. As one of the largest housing providers in the UK with over 77,000 homes across London, the Southeast, the Isle of Wight, and the Midlands, we give over 167,000 people somewhere affordable to call their own!We also understand the difference that safe, secure, and affordable homes can make to peoples lives.

A career at Southern Housing will allow you to make a difference every day you come to work. Working in the housing sector with us will bring fresh challenges and give you the opportunity to grow and develop, too.

What’s in it for you

• Pension
• Life assurance
• Healthcare cash plan
• Eyecare & dental
• Birthday leave
• Retailers discounts
• Cycle to work
• Buy & sell annual leave
• Season ticket loan
• In-house academy & career development
• Flexible working

Inclusion and DiversityWe work hard to create a diverse and inclusive culture and environment where people are respected for who they are. Encouraging inclusion is not just about protected characteristics, its about celebrating differences of thought, opinion, experience and perspective of each individual. Were all different in our own way and we want our colleagues to feel comfortable, that they belong, and are safe to be themselves at work, without fear of being judged or excluded, but valued for their contribution to our One Team approach.

Package Description:

At Agincare, we believe technology should enable exceptional care.As we continue our exciting journey of growth and digital transformation, were investing in our systems, data, and infrastructure to support our expanding services across the UK.

Were now looking for a Data & Integration Solution Specialist to play a pivotal role in shaping our evolving digital landscape.

This is a newly created role within our IT team a rare opportunity to build, influence, and future-proof our data and integration ecosystem from the ground up. With scope to lead a small team in the future, this role offers real impact, visibility, and progression.

Why join us?

As Agincares data and integration specialist, youll be at the heart of our digital transformation.Youll design and deploy integration solutions, build robust data pipelines, and support the development of Power BI reporting that helps our teams make smarter, faster decisions.

Youll work closely with stakeholders across the business, influence technical direction, and help create a future-proof architecture that supports our ambition.And as the role grows, theres potential to lead a small team giving you the chance to shape not just our systems, but our capability.

What Youll Be Doing

Integration Solutions
Design and implement robust integration solutions (APIs, ETL, microservices, ESBs), developing reusable patterns and frameworks to ensure secure, reliable, and scalable data exchange across enterprise systems.

Middleware & Platforms
Select, configure, and manage middleware/iPaaS platforms, optimising performance, availability, and security with strong monitoring and error-handling practices.

Data Architecture & Governance
Define data architectures, schemas, and ETL pipelines, embedding governance, quality, security, and lifecycle management to support both operational and analytical needs.

Power BI & Analytics
Collaborate with business teams to deliver high-quality Power BI dashboards and reports, designing optimised datasets that enable accurate, timely, data-driven decisions.

Stakeholder Engagement & Standards
Work with internal teams and vendors to align integration strategy with business goals, clearly communicating technical solutions. Produce robust documentation and establish best-practice standards for integration and data management.

Future Leadership
Mentor junior colleagues, with scope to line manage and grow a small team as the function develops.

What Were Looking For

• Proven experience designing and implementing integration solutions (APIs, ETL, microservices, ESBs) in complex enterprise environments.
• Hands-on expertise with middleware or iPaaS platforms.
• Strong programming skills (Java, C#, Python or similar), with solid understanding of JSON, XML, REST, and SOAP.
• Experience architecting and maintaining data pipelines, ETL processes, and data warehouse/schema design.
• Skilled in Power BI (dataset design, modelling, report/dashboard delivery).
• Strong understanding of data governance, security, compliance, and performance tuning.
• Excellent communication skills able to engage confidently with both technical and business stakeholders.

This role can be based at any of our office locations in Portland, Poole, or Grantham.

About Agincare

Were a family run business thats been caring and supporting people since 1986. With over 4,500 team members, were one of the UKs largest care providers and are continuing to grow.We have over 100 locations across England including care& nursing homes, home care branches, extra care schemes, supported living properties and live-in offices.

Agincare are signatories of the Care Leaver Covenant and are committed to supporting care leavers to live independently.We are proud to be able to offer a guaranteed interview to care leavers, or an informal conversation about our career opportunities.

All of our care services are regulated by the Care Quality Commission (CQC).

Equal opportunities are important to us at Agincare and we welcome applications from all.

#LI-KD1

MCS Group is working with an AI enabled software house who is seeking an experienced Contract Data Engineer to support a key automation initiative. This role will focus on building scalable automation across their data platform while supporting migration and modernisation of existing data infrastructure. This is an excellent contract/project for someone who has previously worked on data migration, cloud transformation, or platform modernisation projects, and enjoys building robust, automated data solutions in a cloud-first environment. The Role Design, build, and maintain scalable data pipelines and automation for data ingestion, transformation, and delivery. Develop and optimise SQL-based data models across large relational databases. Build and manage AWS-based data infrastructure using services such as Redshift, Glue, Lambda, S3, and Athena. Implement and maintain ETL/ELT pipelines to integrate data from multiple systems. Support data platform migration and modernisation initiatives. Ensure high standards of data quality, performance optimisation, and governance. Contribute to DevOps and automation practices, including infrastructure-as-code and CI/CD where appropriate. The Person Extensive proven experience as a Data Engineer is essential. Strong hands-on expertise with large relational databases and advanced SQL optimisation. Experience working with AWS data services is essential (including Redshift, Glue, Lambda, S3, and Athena.) Strong experience building ETL/ELT pipelines and data integration workflows. Experience with Python, Spark, or other data processing technologies. Familiarity with Terraform, CI/CD pipelines, and infrastructure-as-code practices. IR35: Outside Duration: 6 months Rate: £410 per day Location: Belfast or London - Please note, in-office working is required in either location. To speak in absolute confidence about this opportunity please send an up-to-date CV via the link provided or contact Jill Johnston, Head of IT Contracts, at MCS Group Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current jobs MCS Group is committed to Equality, Diversity, and Inclusion for all, being the first recruitment agency in NI to achieve Bronze Diversity Mark accreditation, if you have a disability which means you require a reasonable adjustment to be considered at any stage of the recruitment process, please contact us and we will endeavour to facilitate the request. Not all agencies are the same MCS Group are passionate about providing a first-class service to all our customers and have an independent review rating of 4.9 stars on Google. Skills: data engineer AWS SQL Database developer automation

Take the next step in your data career & work with cutting-edge AI driven data migration projects!

Small, but mighty data transformation company, operating in the financial services & banking arena are looking for a Data Analyst / Data Engineer to work on a freshly built AI data migration & pipeline application platform.

A most excellent opportunity for an ambitious “junior” to move on in their career & work with agentic AI at the forefront of data manipulation.

Job title: Data Engineer / Data Analyst.

Location: We have a London office (Liverpool Street) but operate remotely across the UK. However, for this role, we’d like someone “commutable” to London (London or home counties, maybe?) V flexible on office / home-based work though.

Salary: £40K - £45K + Bens

What you’ll be doing:

• Working with our newly built, in-house agentic AI data migration, transformation & schema building platform!

• SQL / Python scripting: Prompt > test > validate > deliver.

• Working closely with our Senior Data Engineer & Data Project delivery manager on client projects

• Learning a great deal about complex financial data sets, migration, schemas & AI data platforms!

What you’ll need to bring:

• SQL & Python coding knowledge. Working with complex financial data (migration, ETL, Schemas, etc) would be great, but any sphere is totally fine.

• Data related, STEM, Computer science, etc type degree, or equivalent experience.

• Inquisitive, questioning nature with oodles of critical thinking!

That’s it.

We’d love to hear form you, so please do hit the apply now button, or get in touch to be considered

Principal Data Engineer - Leeds (Hybrid)

Are you a data leader who wants to shape the future of a modern cloud data platform?
We’re looking for a Principal Data Engineer to drive technical direction, uplift engineering standards, and deliver high-quality Azure data solutions that make a real impact.

The Role

• Build and deliver secure, scalable data pipelines using Azure (ADF, Databricks, Lakehouse).
• Lead engineering standards and mentor senior engineers.
• Turn complex requirements into automated, efficient data solutions.
• Influence platform strategy, remove blockers, and ensure strong governance.
• Optimise cloud costs through FinOps practices.
• Identify opportunities to integrate AI/ML into data workflows.

What You’ll Bring

• Extensive experience building data engineering solutions on Azure.
• Strong hands-on skills in ADF, Databricks, Python, T-SQL and PySpark.
• Proven leadership and mentoring experience.
• Solid understanding of data governance and security tooling (Purview / Unity Catalog).
• Bonus: experience with CI/CD, automation, containerisation or Azure certifications.

Why Apply?

This is an exciting opportunity to shape a strategic cloud data platform, influence engineering direction, and work with modern technologies in a forward-thinking environment that encourages innovation and continuous improvement, all with the support of a hybrid working model and great benefits.

Salary: up to £82,000

Interested? Get in touch to learn more.

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Up to £475/day Outside IR35 London 2 days per week in Office We are seeking a highly skilled AI Engineer with deep expertise in Agentic AI, Large Language Models, NLP, GenAI pipelines, cloud ML platforms, and vector-based retrieval systems . This is an opportunity to join an advanced AI team building next-generation intelligent systems, multi-agent applications, and high-scale GenAI microservices. You will design, deploy, and optimise production-grade AI/ML systems powering millions of customer interactions. You will work across Python, cloud-native architectures, vector search, RAG frameworks, orchestration engines, and multi-agent systems , shaping AI capabilities that transform how organisations interact, automate, and understand their customers. Key Responsibilities AI / LLM / Agentic Engineering Design, build, and optimise agentic AI systems using frameworks such as LangChain, LangGraph, Vertex AI Agent Builder, Bedrock Agents, AgentKit, CrewAI , and custom orchestration. Build LLM-powered applications using models including GPT-4o/5, Llama3, Claude, Gemini 2.5 Pro, Bard , and enterprise-grade LLM deployments. Implement RAG and CAG architectures using Pinecone, OpenSearch, Google GenAI Search , and custom vector stores. Engineer domain-tuned embeddings using ADA-002, Gecko, Word2Vec, BERT, Sentence Encoder, and topic modelling. AI/ML Pipelines & MLOps Develop scalable AI/ML microservices using Docker, Kubernetes (EKS/GKE), and CI/CD-driven automation. Build and enhance pipelines for model evaluation, bias/drift detection, real-time inference, and monitoring . Optimise inference latency for high-volume, near-real-time applications such as transcript and behavioural analysis. NLP & Applied Machine Learning Apply text clustering, N-gram analytics, sentiment modelling, intent classification, and summarisation for insight extraction. Refine conversational intent taxonomies and behavioural models for more accurate AI assistant interactions. Data Engineering & Cloud Integration Use cloud services including SageMaker, Azure ML Studio, Vertex AI for training, deployment, and monitoring. Manage datasets using GCP Cloud Storage and implement secure, compliant data workflows. AI Governance & Quality Assurance Establish guardrails, safety layers, automated evaluation frameworks, and prompt governance patterns. Ensure all AI systems meet stringent data governance, privacy, and financial-sector compliance requirements. Technical Skills Languages & Development Python, Java, SQL, Shell Scripting, Node.js, Streamlit IDE experience: PyCharm, VS Code, JupyterLab, Eclipse, Notepad++, Sagemaker Studio, Azure ML Studio, Vertex AI Workbench Python Libraries NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Keras, PyTorch, PySpark, SpaCy, SciPy, NLTK, Statsmodels, Boto3, AzureSDK NLP & LLMs BERT, Word2Vec, Universal Sentence Encoder, NLTK, embeddings, fuzzy matching, topic modelling LLM experience: GPT-3.5/4o/5, Llama2/3, Claude, Gemini, Bedrock models, SQuAD fine-tuning, custom RAG agents AI Search & Vector Innovations Pinecone, OpenSearch, LangChain/LangGraph, LangIndex, Vertex AI Search, Vector DBs, RAG pipelines What We're Looking For Proven experience developing production-grade LLM, GenAI, NLP, or agent-based AI systems . Strong engineering foundation across Python, cloud platforms, APIs, and vector search. Experience with complex multi-agent AI orchestration. Ability to deliver high-scale, low-latency AI solutions in demanding environments. Strong collaboration, architectural thinking, and a passion for cutting-edge AI innovation. TPBN1\_UKTJ

I am partnering with a highly respected financial services organisation to hire an Applied AI / Automation Engineer on a 12-month fixed-term contract. The organisation has a strong track record of innovation, operational excellence, and a culture that values collaboration, flexibility, and diversity. This opportunity sits within a modern Data Science team and will play a pivotal role in designing and building an AI-enabled reporting and reconciliation platform that will transform the client's Fund Administration processes. Role Overview The successful candidate will report into the Head of Data Science and work closely with a dedicated Product Manager in the Fund Administration team. This is a hands-on engineering role where you will architect, build, and deliver production-grade automation solutions in a real-world financial environment. Key Responsibilities Lead the design and delivery of an automated reporting and reconciliation platform. Build intelligent workflows covering data ingestion, validation, reconciliation, and NAV calculation. Establish exception-handling and human-in-the-loop processes where required. Ensure accuracy, auditability, operational resilience, and clear observability across the platform. Work closely with operations and product stakeholders to translate complex workflows into technical solutions. Evolve the solution into a robust internal product with clear maintainability and scalability. Deliver a production-ready automation platform within 12 months, reducing manual effort and increasing transparency. Qualifications & Experience Proven experience in automation engineering and applying AI in operational settings. Strong hands-on capability in Python and SQL . Experience building data pipelines, automation systems, and integrating APIs. Familiarity with production engineering best practices (testing, CI/CD, monitoring). Ability to work cross-functionally with non-technical teams. Experience in reconciliation, accounting, or controlled financial workflows (advantage). Experience working in regulated or audit-sensitive environments. Exposure to workflow orchestration tools. Experience productising internal tools (TypeScript, React, Next.js or similar). TPBN1\_UKTJ

AI Data Architect (AI Data Foundations)

Location - Erskine, London, Farnborough or Newcastle

Candidates are required to be eligible for clearance

We are seeking an AI Data Architect to design and implement AI-ready data foundations. You will define data models, storage patterns, pipelines, and governance frameworks that support machine learning and analytics. Working closely with data engineers and ML engineers, you will ensure data is well-structured, accessible, secure, and scalable for AI use cases.

Key Responsibilities

• Design and maintain data models and schemas (relational, graph, time-series) aligned to AI and business needs.
• Define scalable data storage architectures across databases, data lakes, and warehouses in cloud environments.
• Build and oversee ETL/ELT pipelines to integrate batch and streaming data from multiple sources.
• Establish data governance, quality, security, privacy, and compliance standards.
• Implement metadata management and data lineage for transparency and traceability.
• Collaborate with data, ML, and analytics teams to deliver AI-ready datasets and features.
• Monitor, optimise, and scale data platforms for performance, cost efficiency, and growth.

Required Qualifications

• Bachelors degree in Computer Science, Information Systems, or related field (or equivalent experience).
• Previous experience in data architecture, data engineering, or similar roles.
• Strong data modelling and database design skills (SQL, relational, and NoSQL databases).
• Hands-on experience building and managing data pipelines (ETL/ELT) using Python, SQL, or related tools.
• Experience with cloud-based data platforms and modern data architectures.
• Solid understanding of data governance, quality management, security, and privacy.
• Strong communication skills and ability to collaborate across technical teams.

Preferred Experience

• Experience supporting AI/ML or advanced analytics projects.
• Familiarity with data catalogues, governance, and lineage tools (e.g. Collibra, Alation, Atlas).
• Exposure to ontologies, semantic modelling, or knowledge graphs.
• Experience with modern architectures (lakehouse, data mesh, streaming/event-driven systems).
• Relevant cloud or data architecture certifications.

Position: ML & AI Engineer
Location: London, UK (Hybrid-3 days a week from office)
long term contract position

Program Scope:

• Developing and provisioning of infrastructure that support agentic workflows across both Azure and GCP
• Data science expertise to help shape the agentic solution design of Coach AI as well as target state AI Assistant
• Creation of agent integration patterns to fulfil and action on behalf of customers by leveraging Bank systems
• Development of new AI products for the Conversational Banking Lab, including but not limited to:
• Agent summarisation - bespoke features to summarise nuanced conversations
• App search evolution - transforming the existing vector search functionality into a fully generative experience and transition to single experience point
• Evaluation methods - continued automation of both deterministic and generative conversations in a scaled and simulated way

Key Skills/Knowledge:

ML & AI Engineer

Must haves

1. Python literacy - min 2years+ working on production grade LLM based applications
2. Software Engineering - strong understanding of microservices architecture, CI/CD pipelines, event driven architecture
3. AI Engineering - RAG pipelines, prompt engineering, VertexAI experience, LLMOps and runtime evaluation/monitoring
4. Data engineering - scaled data pipelines using python/spark. GCP native services: BQ, Spanner, Dataflow, Firestore

Nice to haves

1. AgenticAI - Langgraph, ADK, CrewAI, multi-agent architectures - experience in building deployable solutions, not jupyter notebooks
2. Data ontologies - graphical approaches to data storage + retrieval

• Exposure to Agile/Scrum methodologies

Cheltenham (Hybrid - 2-3 days onsite) £32,000 - £38,000 + Bonus + 35 Days Holiday + Hybrid Working + Share Plan + Up to 10 % Pension + Training + Progression This is an excellent opportunity for someone with early experience in data engineering to build a long-term career supporting engineering systems and enterprise data platforms within a globally operating organisation. You will join a collaborative data and engineering systems team where you will gain exposure to large-scale product and manufacturing datasets while contributing to key data improvement initiatives across the business. The organisation is part of the FTSE 100 and operates within a highly technical engineering environment and is committed to improving the quality, consistency, and governance of its product and manufacturing data. As part of a wider digital transformation programme, the business is investing in improving how data is structured, managed, and used across its global platforms. In this role, you will support the management, transformation, and quality improvement of engineering and product data across a range of enterprise systems, including PLM platforms. Working closely with engineers, data specialists, and global stakeholders, you will help extract, analyse, validate, and standardise datasets while contributing to projects that enhance data standards and workflows. The Role: \* Supporting the maintenance and improvement of product and manufacturing data across engineering systems and PLM platforms \* Extracting, analysing, and transforming datasets using tools such as SQL and Excel \* Identifying anomalies and validating data to ensure accuracy and consistency \* Preparing and loading standardised data into enterprise databases and applications \* Supporting data improvement initiatives and small-scale projects across the business The Person: \* Hands on experience in a data-focused role such as data analyst, data coordinator, or similar \* Experience using data tools such as SQL, Excel, Power BI, Python \* A strong analytical approach with the ability to work with large datasets \* Good communication skills and the ability to work with a range of stakeholders Reference Number: BBBH(phone number removed) Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates

Data Scientist - Optimisation & Operations Research

North West London (Hybrid, 3 days on-site) | £550 - £750/day

The Opportunity

We’re recruiting on behalf of a globally recognised organisation undergoing a major transformation in how it uses data to drive operational decisions. This is a rare chance to work on genuinely complex, high-impact decision-support software - embedding cutting-edge optimisation and machine learning directly into live operations.

You’ll join a high-performing, Agile product squad as a full-stack Data Scientist, sitting at the intersection of data engineering, ML, and operations research.

What You’ll Be Doing

• Designing and delivering optimisation and ML models (linear/mixed-integer programming, heuristics, supervised/unsupervised learning) in Python, from prototype to production
• Building robust, automated data pipelines and integrating models into cloud-based deployment pipelines with CI/CD
• Owning features end-to-end - from stakeholder requirements through to algorithm hardening, edge-case handling, and value measurement
• Working with orchestration frameworks (Dagster/Airflow), experiment tracking (MLflow), and containerised infrastructure (Docker/ECS)
• Collaborating closely with business stakeholders and contributing to roadmap and feature prioritisation

What We’re Looking For

• Strong operational research and optimisation background - this is a must
• Fluent Python, with hands-on experience of scikit-learn, pandas, numpy, Gurobi or similar OR packages
• Production ML/optimisation software experience - you’ve shipped models that run at scale
• Cloud platform experience (AWS preferred); familiarity with SageMaker, DVC, GitHub Actions a bonus
• Strong SQL and data engineering fundamentals
• Experience in airline, aviation, transport, or engineering/maintenance environments is highly desirable
• Master’s degree (or equivalent) in Data Science, ML, or Operational Research - or strong demonstrable industry experience

Data Scientist - Optimisation & Operations Research North West London (Hybrid, 3 days on-site) | £550 - £750 /day The Opportunity We're recruiting on behalf of a globally recognised organisation undergoing a major transformation in how it uses data to drive operational decisions. This is a rare chance to work on genuinely complex, high-impact decision-support software - embedding cutting-edge optimisation and machine learning directly into live operations. You'll join a high-performing, Agile product squad as a full-stack Data Scientist, sitting at the intersection of data engineering, ML, and operations research. What You'll Be Doing Designing and delivering optimisation and ML models (linear/mixed-integer programming, heuristics, supervised/unsupervised learning) in Python, from prototype to production Building robust, automated data pipelines and integrating models into cloud-based deployment pipelines with CI/CD Owning features end-to-end - from stakeholder requirements through to algorithm hardening, edge-case handling, and value measurement Working with orchestration frameworks (Dagster/Airflow), experiment tracking (MLflow), and containerised infrastructure (Docker/ECS) Collaborating closely with business stakeholders and contributing to roadmap and feature prioritisation What We're Looking For Strong operational research and optimisation background - this is a must Fluent Python, with hands-on experience of scikit-learn, pandas, numpy, Gurobi or similar OR packages Production ML/optimisation software experience - you've shipped models that run at scale Cloud platform experience (AWS preferred); familiarity with SageMaker, DVC, GitHub Actions a bonus Strong SQL and data engineering fundamentals Experience in airline, aviation, transport, or engineering/maintenance environments is highly desirable Master's degree (or equivalent) in Data Science, ML, or Operational Research - or strong demonstrable industry experience

Position: ML & AI Engineer

Location: London, UK (Hybrid-3 days a week from office)

long term contract position

Program Scope:

* Developing and provisioning of infrastructure that support agentic workflows across both Azure and GCP

* Data science expertise to help shape the agentic solution design of Coach AI as well as target state AI Assistant

* Creation of agent integration patterns to fulfil and action on behalf of customers by leveraging Bank systems

* Development of new AI products for the Conversational Banking Lab, including but not limited to:

* Agent summarisation - bespoke features to summarise nuanced conversations

* App search evolution - transforming the existing vector search functionality into a fully generative experience and transition to single experience point

* Evaluation methods - continued automation of both deterministic and generative conversations in a scaled and simulated way

Key Skills/Knowledge:

ML & AI Engineer

Must haves

1. Python literacy - min 2years+ working on production grade LLM based applications

2. Software Engineering - strong understanding of microservices architecture, CI/CD pipelines, event driven architecture

3. AI Engineering - RAG pipelines, prompt engineering, VertexAI experience, LLMOps and runtime evaluation/monitoring

4. Data engineering - scaled data pipelines using python/spark. GCP native services: BQ, Spanner, Dataflow, Firestore

Nice to haves

1. AgenticAI - Langgraph, ADK, CrewAI, multi-agent architectures - experience in building deployable solutions, not jupyter notebooks

2. Data ontologies - graphical approaches to data storage + retrieval

* Exposure to Agile/Scrum methodologies

Your new company An established and fast‑growing technology organisation is on a mission to transform digital connectivity across the UK. With a focus on building and operating high‑speed fibre networks, the business is committed to delivering world‑class broadband services to communities and supporting a data‑driven future. You'll be joining a forward‑thinking environment that values innovation, collaboration, and continuous improvement. Your new role As a Senior Data Engineer, you will play a pivotal role in shaping and enhancing the organisation's enterprise data platform. Working within a specialist Data Analytics & AI team, you'll be responsible for designing, building, and maintaining scalable data pipelines and models within Snowflake to support analytics, reporting, and data‑led decision‑making across the business.You will translate data architecture strategies into high‑quality technical solutions, optimise performance and cost, and ensure the data platform is reliable, secure, and well‑structured. This includes developing ELT/ETL pipelines using tools such as dbt and Argo Workflows, implementing data quality and governance practices, and leveraging advanced Snowflake features to drive automation and efficiency.Collaboration is key-you'll work closely with analysts, data consumers, and business stakeholders, enabling them through well‑designed data models and providing technical support where needed. You'll also contribute to monitoring, CI/CD processes, and ongoing improvements to engineering standards across the team. What you'll need to succeed Proven experience delivering cloud‑based data engineering solutions, ideally centred around Snowflake Strong skills in SQL, Python, and dbt for data modelling and transformation Experience with Snowflake RBAC and performance optimisation Familiarity with ingestion/replication tools such as Airbyte, Fivetran, Hevo, or similar Understanding of cloud technologies (AWS preferred) Knowledge of data modelling, governance principles, and best‑practice engineering standards Experience supporting BI/reporting tools such as Power BI Solid grounding in version‑controlled development and CI/CD practices (git)Desirable: Exposure to enterprise systems like Salesforce, BSS/OSS, telephony, or call‑centre data Experience in data platform migrations, data validation, and quality assurance Background in enabling business teams through training, documentation, or adoption support Familiarity with Terraform or Infrastructure‑as‑Code A mindset for continuous learning and staying up to date with modern data stack tooling What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. 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)

SENIOR DATA SCIENTIST

LONDON- HYBRID

UP TO £75,000

I’m currently working with a leading UK fintech that is looking to bring in a Senior Data Scientist to join their growing decision science team.

You’ll be responsible for developing and deploying models that support underwriting decisions, pricing strategies, and fraud detection, working closely with product, engineering, and risk teams to ensure models are robust, scalable, and delivering commercial value.

THE ROLE

• Develop and enhance credit risk models, including scorecards and machine learning models for underwriting and portfolio management
• Build pricing models and optimisation strategies to support customer acquisition and portfolio profitability
• Design and improve fraud detection models to identify suspicious activity and reduce financial losses
• Work closely with product, risk, and engineering teams to deploy models into production
• Analyse large datasets to uncover insights that inform decisioning strategies
• Monitor model performance and drive continuous model improvements

REQUIREMENTS

• Strong experience developing credit risk, fraud, or pricing models within financial services or fintech
• Strong programming experience in Python (pandas, scikit-learn, XGBoost etc.)
• Solid SQL skills and experience working with large datasets
• Good understanding of machine learning and statistical modelling techniques

HOW TO APPLY

Please send your application below or reach

Enterprise Data Manager/Head of Data
Hybrid: 2-3 days per week in the office (London)
Permanent
Paying up to 115k + Bonus

Experis are delighted to be partnering with a well-established organisation as they continue to evolve and mature their enterprise data capability during a significant phase of data platform transformation.

We are supporting them in the search for an Enterprise Data Manager to take ownership of the organisation’s enterprise-wide data agenda. This is a senior, strategic role focused on data leadership, governance, stakeholder alignment and platform direction, sitting above the existing Data Engineering Manager and working across multiple business functions. This role provides enterprise-level oversight and cohesion across a complex, federated data landscape. The organisation is midway through modernising its data platform and needs an experienced data leader who can bring clarity, alignment and strategic direction across teams.

This is a highly visible role operating across technology and business leadership, treating data as a strategic asset and ensuring the organisation is positioned to scale its data and AI capabilities responsibly.

What You’ll Be Doing
Leading and evolving the enterprise data strategy, turning high-level intent into a clear, actionable roadmap.
Providing enterprise leadership across the data ecosystem, bringing alignment between data engineering, architecture, governance and reporting functions.
Acting as the senior authority on data across the organisation, influencing senior stakeholders and shaping data-driven decision making.
Providing strategic oversight of the organisation’s modern data platform including Azure, Databricks, Lakehouse architecture and early exploration of Microsoft Fabric.
Guiding key decisions around sources of truth, data product lifecycle management and platform operating models.
Managing the strategic delivery partnership with Telef nica Tech, ensuring strong collaboration, knowledge transfer and service delivery.
Overseeing vendor-delivered workstreams and shaping the future sourcing strategy as the internal capability evolves.
Supporting the organisation’s data governance and AI governance foundations, ensuring strong controls before AI capability is scaled further.
Operating across a federated data landscape, aligning multiple teams and reducing duplication while strengthening the organisation’s overall data ecosystem.

Experience Required
Proven experience operating at Head of Data / Enterprise Data Manager / senior data leadership level.
Strong track record working within large, complex or regulated organisations.
Deep understanding of modern data platforms, data governance and enterprise data operating models.
Experience managing external vendors, managed services and strategic delivery partners.
Comfortable leading through organisational change, transformation and ambiguity.
Experience working with Databricks, Lakehouse architectures or Microsoft Fabric.
Background in regulated or data-rich industries such as finance, insurance, legal or media.

If you’d like to learn more, please contact Jacob Ferdinand at

Are you ready to take your career to the next level in a role that combines data analytics, CRM development, and continuous improvement? This is an exciting opportunity to join a company with over a century of excellence in designing and supplying high-quality products. This role offers a fantastic chance to grow professionally while being part of a forward-thinking organisation.

What You Will Do:

• Run, update, and assist in developing and maintaining business intelligence dashboards and reports.

• Support data extraction, transformation, and loading (ETL) processes to ensure data accuracy and quality.

• Assist with day-to-day maintenance of the CRM system, including user accounts, permissions, and data updates.

• Provide support for user queries, deliver training, and enhance user adoption of the CRM platform.

• Contribute to small-scale enhancements and improvements to BI and CRM solutions, ensuring efficiency and innovation.

• Collaborate with the IT team to provide technical support across departments and assist with system upgrades and testing.

What You Will Bring:

• A strong interest in data analytics and CRM systems, with a basic knowledge of SQL and data manipulation.

• Excellent problem-solving and communication skills, with the ability to work collaboratively in a team environment.

• Familiarity with reporting or business intelligence tools and previous exposure to a CRM platform.

• Attention to detail, process-oriented thinking, and a willingness to learn and adapt to new technologies.

• Proficiency in Microsoft Office products and a proactive approach to continuous improvement.

Joining this company means being part of a legacy of innovation and quality that spans over a century. The company is driven by a commitment to excellence and a strategic focus on growth, investment, and outstanding customer service. In this role, you will play a key part in supporting the organisation’s goals and contributing to its ongoing success in the UK construction industry and beyond.

Location:

This role is based at the company’s headquarters in Kingswinford.

Interested?:

If you’re ready to make your mark as a BI Analyst and thrive in a dynamic and supportive environment, don’t wait! Apply now and take the first step towards an exciting new chapter in your career.

Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.
In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.

Data Architect Hybrid RCT (South Wales)

IntaPeople are proud and excited to be appointed to recruit an experienced Data Architect for a Welsh-based not-for-profit sector client on an exclusive growth project.

This is a very exciting opportunity to join their fast-growing Data function in this newly created position. You will be joining the data team as one of the first handful of team members in this area of the business which will work with external partners to build out the organisations data capability offering. As a Data Architect, you will be responsible for designing, building, and maintaining robust, scalable, and secure data pipelines and platform that enable them to make data -driven decisions at a enterprise level.

Working closely with the Head of Data Engineering you will help grow out this data function with the recruitment of further data engineering resources whilst working closely with solutions architects and Software Engineers. You will also get the opportunity to progress into a leadership role if this suited the individuals desires and capabilities.

You will shape, govern and assure the organisation s data architecture, defining, designing and maintaining strategic data models, standards, flows and governance structures that support organisational goals, ensure compliance, foster collaboration across business areas, and enable the organisation to make data-driven decisions

Essential Skills

• Proven experience as a Senior Data Engineer or Data Architect (or similar/related role).
• Experience with Enterprise level Data sets.
• Expertise and practical experience in designing and aligning data models across multiple subject areas, applying recognised patterns and industry standards.
• Familiarity with structured architectural approaches found in TOGAF (data architecture) or equivalent.
• Proven experience defining and evolving data governance, including data quality, metadata, lineage, and policy assurance across services.
• Strong capability in data profiling, source system analysis and identifying links across problem domains to define common, reusable solutions.
• Experience of communicating technical information and data to a non technical audience and working collaboratively with analysts, architects, and product owners to deliver data solutions that meet user and organisational needs.
• Ability to lead and mentor other team members.
• Demonstrable knowledge of data modelling and data warehousing within platforms such as Azure or AWS.
• Practical experience with Microsoft Azure services, including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures.
• Robust understanding of data governance, data quality, and metadata management.

Desirable skills

• Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles.
• Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/CD, and collaborative data delivery.
• Experience with Big Data.
• Certification in data architecture or governance frameworks (e.g., TOGAF, DAMA, DCAM, EDMC).
• Experience of using programming languages such as Python, Scala and SQL
• Welsh language skills.

Key Responsibilities (at a glance):

• Establish Data strategies and data modelling internally within the data estate
• Lead the design and oversight of enterprise aligned data models and supporting data architecture, ensuring that all modelling approaches follow organisational standards, recognised patterns, and enable scalable, high quality data flows across services.
• Provide expert architectural guidance to technical teams delivering cloud based data platforms, ensuring that data integration, modelling, metadata and design decisions align with organisational and enterprise-wide standards
• Work closely with other business leaders to maintain governance and compliance within their data estate.
• Work closely with data analysts,data engineering, Enterprise and solution architects, DevOps, and business stakeholders through regular communication and collaborative planning to ensure data solutions are closely aligned with business objectives and effectively meet user needs.
• Contribute to the development and execution of the Data Strategy by maintaining thorough documentation of data processes, architectures, and workflows to ensure all technical and process information is systematically recorded, updated and data initiatives deliver business value and are aligned with broader technology and organisational goals
• Research into emerging technologies and upcoming trends
• Provide oversight to teams building data processing pipelines and integration patterns, ensuring their artefacts are consistent with data architecture principles and metadata strategies.
• Lead on the introduction of foundational data management capabilities to improve trust, accessibility, and efficiency in an organisation that has limited data management capability, lacks data management practices, including governance, metadata standards, and quality controls.
• Design, implement, and optimise physical data models that align with pipeline architecture, by using the approach that ensures efficient query performance, scalable storage, and robust integration and delivers adaptable and resource -efficient data processing, meeting the organisation s evolving analytical and operational demands.
• Managing the aspirations of a variety of stakeholders to enable successful project delivery can be challenging, especially when their priorities may differ or even conflict and require reconciliation to meet business and project needs.

What you ll get in return (at a glance)

• A salary of circa £62,500 - £67,500 (depending on experience)
• 28 days annual leave + public bank holidays
• Hybrid working - To be based in their brand new, modern offices 1-2 days per week
• A flexible working environment
• Competitive Legal and General pension Scheme (8% employer contribution)
• 4 x Death in service
• The opportunity to work on modern and industry changing projects
• Progression and development opportunities
• Free Rail travel throughout Wales and discounted throughout the UK
• Salary sacrifice scheme such as cycle to work, electric vehicle
• A chance to truly contribute to large scale digitalisation projects within Wales

For more information click APPLY now or for a confidential chat call Nathan Handley on (phone number removed).

This role is commutable from Swansea, Bridgend, Pontypridd, Cardiff and Newport or surrounding areas.