About Scrumconnect Consulting: Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. With a strong commitment to user-centred design and agile delivery, and more to deliver innovative digital services that matter.

Role Description
As a Senior Big Data Engineer, you will lead the engineering of complex data solutions across Google Cloud Platform environment. You will architect and implement high-performance data pipelines integrating multiple internal and external data sources. You will apply strong data modelling and warehousing principles using BigQuery and Cloud SQL, embed governance through Dataplex and ensure automated orchestration via Airflow. You will provide technical leadership to ensure resilience, scalability and compliance across data services that underpin critical national infrastructure programmes.

Preferred Tech Stack Expertise
Google Cloud Platform including BigQuery, Cloud SQL and Cloud Composer, Apache Airflow, Dataplex, Dataform, Great Expectations or similar data quality tools, Terraform, Python and SQL

Responsibilities

• Lead design and delivery of enterprise-scale data pipelines
• Define data modelling standards and warehouse optimisation strategies
• Embed governance, metadata management and security controls
• Oversee automated orchestration and monitoring of data workflows
• Provide assurance for performance, scalability and compliance requirements
• Collaborate with DevOps teams to ensure reliable deployments
• Mentor data engineers and contribute to structured upskilling initiative

Diversity & Inclusion
At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, under-represented communities, and those seeking flexible working arrangements.

6 month contract – Hybrid – SC Cleared – London – Inside IR35

Please note - SC Clearance is REQUIRED for this role

Job Description:
Our client is seeking a senior Data Engineer to join our Data Engineering team and play a pivotal role in shaping the strategic cloud-first data platform.
As a member of the team, you will play a key role in designing and delivering robust, scalable data solutions that support our clients core responsibilities around monetary policy, financial stability, and regulatory supervision. With contribution to technical design decisions, mentor engineers, and collaborate across teams to ensure our data infrastructure continues to evolve and meet future demands.

Role Responsibilitiesb

• SC Clearance - required
• Lead the design, development, and deployment of scalable, secure, and cost-effective distributed data solutions [MA2.1]using Azure services (e.g., Azure Databricks, Azure Data Lake Storage, Azure Data Factory).
• Architect and implement advanced data pipelines using Databricks, Delta Lake, Python and Spark, ensuring performance, reliability, and maintainability across cloud and on-prem environments.
• Champion data quality, governance, and observability, ensuring data is accurate, timely, and fit-for-purpose for analytics, BI, and operational use cases.
• Drive the modernization of legacy systems, leading the migration of data infrastructure to Azure with minimal disruption and long-term scalability.
• Act as a technical authority on Azure-native data engineering, guiding best practices and setting standards across the team.
• Collaborate with architects, analysts, and stake holders to align data engineering efforts with strategic business goals and enterprise data strategy.
• Own the end-to-end delivery of complex data solutions, from requirements gathering to production deployment and support.
• Contribute to the development of reusable frameworks, templates, and patterns to accelerate delivery and ensure consistency across projects.
• Mentor and coach junior and mid-level engineers, fostering a culture of continuous learning, innovation, and technical excellence.

Experience needed:

• Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory.
• Advanced proficiency in SQL, Python, and Spark (PySpark), with a strong focus on performance optimization and distributed processing.
• Proven experience in CI/CD practices using industry-standard tools (e.g., GitHub Actions, Azure DevOps).
• Strong understanding of data architecture principles and cloud-native design patterns.
• Demonstrated ability to lead technical delivery, mentor engineering teams and collaborate with stakeholders to ensure alignment between data solutions and business strategy.
• Proficiency in Linux/Unix environments and shell scripting.
• Deep understanding of source control, testing strategies, and agile development practices.
• Self-motivated with a strategic mindset and a passion for driving innovation in data engineering.

Apply now to the Security Cleared Business Analyst and speak with VIQU IT in confidence. Or reach out to Louise Davies on via the VIQU IT website.

Do you know someone great? We’ll thank you with up to £1,000 if your referral is successful (terms apply).

For more exciting roles and opportunities like this, please follow us on LinkedIn @VIQU IT Recruitment.

Analytics Engineer (GCP / dbt)

Sector: Telecoms
Location: London or Reading (2 days in office)
Pay Rate: £467.50 - £552.50 (Inside IR35)
Tech Stack: Google Cloud Platform (BigQuery), dbt (Cloud/Core), SQL

The Role: The Bridge Between Data & Decisions

In the world of Telecoms, the data is vast, but the insights need to be surgical. We are looking for an Analytics Engineer who lives exactly where Data Engineering meets Data Analysis.
You won’t just be moving data; you’ll be the architect of the ‘Single Source of Truth.’ Your mission is to take raw, complex telecoms data and transform it into clean, scalable, high-quality models that power our Finance, Planning, and Commercial teams. If you’re tired of ‘black box’ engineering and want to see the direct business impact of your code, this is the seat for you.

What You’ll Be Doing

• Architecting the Truth: Design and implement scalable business-layer models, marts, and OBTs. You’ll decide whether a dimensional model or a flat OBT is the right tool for the specific business problem.
• Owning the Lifecycle: You take business requirements and turn them into technical reality. You’ll develop, test, document, and deploy via CI/CD, treating analytics code with the same rigour as software engineering.
• Enforcing Excellence: You’ll be the gatekeeper for SQL and dbt standards. You’ll lead code reviews that focus on logic, consistency, and future maintainability.
• Security & Integrity: Data quality isn’t an afterthought-it’s a critical defect. You’ll implement generic and custom tests while ensuring PII is handled safely (masking, hashing, and access control).
• Deep-Dive Problem Solving: When a pipeline breaks or a number looks ‘off,’ you’ll trace the lineage from source to BI layer, debugging failures independently until they’re resolved.
• Performance & Cost Ops: You’ll hunt for refactoring opportunities in older models and use BigQuery tools to optimize query performance and cloud costs.
• Stakeholder Storytelling: You’ll explain technical ‘why’ in simple ‘business.’ You make sure downstream teams know exactly how a model change will affect their dashboards before you hit deploy.

Your Profile

The Must-Haves:

• Expert SQL: You write complex, performant queries and understand the ‘under the hood’ mechanics of cloud data warehouses (specifically GCP BigQuery).
• dbt Specialist: Strong hands-on experience with dbt Cloud or Core is essential.
• Modelling Pro: You understand dimensional modelling and how to structure data for varied business use cases.
• CI/CD Native: You’re comfortable with branching, merging, rebasing, and resolving conflicts in a professional development environment.
• Analytical Detective: You have the ‘lineage mindset’-the ability to trace data flows backward to find and fix the root cause of an issue.

The Nice-to-Haves:

• Experience in Agile environments and a deep understanding of the data development lifecycle.
• Familiarity with BI tools (like Tableau) so you can see the data through the eyes of the end-user.
• A background in Performance Tuning and cost optimization within GCP.
• A ‘Community’ mindset-whether that’s mentoring others or contributing to internal forums and meetups.

Spatial Transcriptomics is a rapidly emerging field that combines the “what” of genomics with the “where” of imaging. To support this, the Functional Genomics team is partnering with the BioImage Archive to create a unified resource for this data.

You will join a unique, interdisciplinary project bridging these two world-leading teams. We are looking for a talented developer to build the “Spatial Transcriptomics Portal,” a greenfield resource that will support scientists worldwide to submit, find, explore, and reuse this complex multi-modal data.

Your role

The role will work across the full technical stack to architect and build a new platform from the ground up. You will act as the technical bridge between the genomic and imaging domains, designing systems that allow these distinct data types to be harmonised, validated, and visualised together.

Specific Responsibilities:

• Portal Development:Design and implement the new Spatial Transcriptomics portal, including backend API services, frontend user interfaces, and supporting infrastructure.
• Search & Discovery: Develop a shared and powerful search interface that allows researchers to discover datasets based on the rich biological metadata facets that accompany these experiments.
• Data Flow & Validation: Design automated pipelines to validate incoming data against agreed standards (FAIR principles) and route submissions to the correct archival resources.
• Data Conversion: Support the development of conversion pipelines to transform raw data files into cloud-native formats (e.g., OME-Zarr) optimized for visualization in the portal.
• Visualisation Integration: Embed and integrate advanced spatial visualisation tools into the portal, ensuring users can seamlessly interact with high-resolution images and gene expression overlays.
• System Integration: Act as the technical liaison between the BioImage Archive and Functional Genomics, as well as with central EMBL-EBI storage and search infrastructure teams, ensuring that the new portal integrates seamlessly with our existing high-performance systems.

You have

You should have a university degree in computer science, life sciences, or a related discipline and experience in a software development capacity.

Specific Experience:

• Substantial experience developing full-stack web applications.
• Solid experience with Java or Python for backend development.
• Extensive hands-on experience with JavaScript and modern frontend frameworks (e.g., React).
• Experience with Containerisation (Docker) and deploying applications to Kubernetes environments.
• Experience configuring CI/CD pipelines (e.g., GitLab CI, Jenkins) for automated testing and deployment.
• Experience working with databases (Relational or NoSQL) and designing data models.

Personal Attributes:

• A strong affinity with the goal of EMBL-EBI to provide open data to the global scientific community.
• Excellent communication skills, with the ability to bridge the gap between technical and scientific requirements.
• A self-starter attitude, comfortable working on a greenfield project with evolving requirements.

You may also have

• Experience designing data systems that operate at scale.
• Experience working with biological data, particularly BioImaging or Genomics formats.
• Experience with search infrastructure (e.g., Solr, Elasticsearch).
• Familiarity with data standards or validation frameworks (e.g., JSON Schema, RO-Crate).

Apply now! Benefits and Contract Information

• Financial incentives: depending on circumstances, monthly family/marriage allowance of £278 monthly child allowance of £336 per child. Non resident allowance up to £569per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances

• Hybrid working arrangements

• Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover)

• Generous time off: 30 days annual leave per year, in addition to eight bank holidays

• Relocation package including installation grant (as applicable)

• Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely)

• Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances

• Contract duration: This position is a 1 year project based contract

• Salary: Monthly salary startingfrom £3,303 or 3,695 after taxbut excl. pension & insurances) + benefits (Total package will be dependent on family circumstances)

• International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants.

• Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities.

• Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you.

To apply, please submit a covering letter and CV via our online system. Applications will close on 18/03/2026.

£60,000 - £70,000

Remote (UK-based)

Are you a highly experienced Web Scraper who can scrape from heavily defended sites for a leading platform in AI-driven Search Intelligence? If so, this may the next exciting step in your career.

THE COMPANY

This leading company is at the forefront of using AI to power its Search Intelligence Platform.

THE ROLE

As a Python Web Scraping Engineer, you will scrape data from heavily defended sites using Python.

Specifically, you can expect to be involved in the following:

• Using browser automation tools (Playwright, Selenium, Puppeteer or similar)
• HTML parsing and data extraction
• Handling bot detection systems
• Cloud-based scraping at scale

SKILLS AND EXPERIENCE

The successful Python Web Scraping Engineer will have the following skills and experience:

• Anti-bot detection and evasion
• Browser fingerprinting techniques
• CAPTCHA solving and handling
• Proxy management and IP rotation

BENEFITS

The successful Python Web Scraping Engineer will receive the following:

• Salary between £60,000 - £70,000 - depending on experience
• Competitive benefits

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Your role

This is an exciting opportunity to make a significant contribution to several world leading projects including:

• Functional Annotation of Animal Genomes project
• European Reference Genome Atlas
• TREC
• AEGIS

You will be responsible for support and development of software to handle data curation, coordination, validation, distribution and visualisation of agriculture, aquaculture and biodiversity data. You will work with large scientific communities to define and implement metadata standards, develop software to validate and improve data descriptions and develop, build new project specific portals, and extend, existing web data portalsto meet the specific needs of each consortium.

The data portals will include Application Programming Interfaces (APIs) and bespoke data visualisation and presentation solutions. You will also support efforts for the development of standardised containerised workflows and cloud platform integration.

As part of this team, you will have many opportunities to engage with data generators, project users, and collaborators, to which you will provide guidance and support on utilisation of the team’s software and support users to provide rich metadata descriptions.

You will work with a range of data archives at EMBL-EBI, including the ENA and BioSamples, to support each project and community in sharing and gaining access to well described, high quality sample and genomic data.

You have

• A BSc or MSc in computer science or related fields
• Expertise in Python, including popular Python libraries: NumPy, Pandas, PySpark and frameworks: Django, Django Rest Framework, FastAPI
• Hands-on experience with both relational (e.g. PostgreSQL) and non-relational databases (e.g. Elasticsearch, Redis)
• Extensive experience in data warehousing architecture, big data processing and ETL
• Demonstrable expertise in Unix/Linux environments
• Experience with GIT and working in collaborative software environments
• Willingness to learn new skills as required by the project
• A self-motivated work ethic and be capable of working both independently and as part of a team
• Excellent communication, interpersonal and English language skills

You may also have

• Experience developing or maintaining web-based applications (html, css, Javascript frameworks such as Angular, React)
• Cloud (GCP or AWS) and popular cloud Big Data tools - BigQuery, Dataflow, Looker
• Hands on containerisation experience (Docker or similar) and orchestration (e.g. with kubernetes)
• Experience processing of biological archive data
• Tests and CI/CD

Apply now! Benefits and Contract Information

• Financial incentives: depending on circumstances, monthly family/marriage allowance of £278 monthly child allowance of £336 per child. Non resident allowance up to £569per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances

• Hybrid working arrangements

• Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover)

• Generous time off: 30 days annual leave per year, in addition to eight bank holidays

• Relocation package including installation grant (as applicable)

• Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely)

• Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances

• Contract duration: This position is a 2 year grant funded contract

• Salary: Monthly salary starting at£3,695.61after tax but excl. pension & insurances) + benefits (Total package will be dependent on family circumstances)

• International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants.

• Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities.

• Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you.

To apply, please submit a covering letter and CV via our online system. Applications will close on 17/03/2026.

We are looking for a strong Data Engineering Architect with 1216 years of experience in building and architecting modern data platforms on Microsoft Azure. The ideal candidate will have deep hands-on expertise in Azure Data Factory (ADF) pipeline engineering, SQL performance tuning, and end-to-end data integration architecture, along with a strong analytical mindset to troubleshoot complex data issues. You will lead solution architecture, define best practices, and mentor teams to build scalable, secure, and reliable data solutions.

Key Responsibilities

Azure Data Engineering & Architecture

• Architect and design end-to-end Azure data engineering solutions (batch + near real-time) aligned to enterprise standards.
• Define target state architecture for data ingestion, transformation, orchestration, and serving layers.
• Lead architectural decisions around scalability, resiliency, performance, security, governance, and cost optimization.

Azure Data Factory (ADF) Pipeline Engineering (Core)

• Design, develop, test, and deploy Azure Data Factory pipelines following best practices (modular design, parameterization, reusability, CI/CD readiness).

• Build robust ingestion and orchestration workflows using:

• Linked Services, Datasets, Pipelines, Triggers

• Mapping Data Flows / Wrangling Data Flows (where applicable)

• Integration Runtime strategies (Self-hosted / Azure IR)

Implement operational excellence: logging, alerting, retry patterns, failure handling, and idempotent design.

SQL Development & Optimization

• Develop and optimize SQL queries and stored procedures to support ADF pipeline operations and downstream transformations.
• Conduct query plan analysis and performance tuning (indexes, partitioning strategies, statistics, query rewrites).
• Establish SQL coding standards and reusable patterns for transformation logic.

Troubleshooting & Analytical Problem Solving

• Apply a strong analytical mindset to diagnose and resolve complex data integration issues across ingestion, transformation, orchestration, and storage layers.
• Perform root cause analysis (RCA) for pipeline failures, performance degradation, data quality issues, and environment instability.
• Design proactive monitoring dashboards and alerts for pipeline SLAs and data freshness.

Engineering Standards, DevOps & Governance

• Define and enforce best practices for:

• CI/CD for ADF (Azure DevOps / Git-based workflows)

• Infrastructure-as-Code (ARM/Bicep/Terraformpreferred)

• Version control, code review, release management

Implement data governance patterns: metadata management, lineage, auditing, encryption, RBAC, key management, PII controls.Collaborate with security/compliance teams to ensure enterprise adherence.

Leadership & Stakeholder Management

• Act as a technical leader for data engineering squads; mentor and guide engineers on design patterns and implementation.
• Translate business requirements into technical architecture and delivery plans.
• Work closely with Product Owners, Data Analysts, Data Scientists, and Platform teams to ensure alignment.

Required Skills & Qualifications

Must-Have (Strong)

• 1216 years of overall IT experience with significant data engineering & architecture exposure.

• Strong Azure Cloud Data Engineering and associated services architecture knowledge

• Deep hands-on experience with:

• Azure Data Factory (ADF) pipeline design, orchestration, integration runtime strategy

• SQL advanced querying, stored procedures, performance tuning

Strong troubleshooting skills for complex multi-system data issues.Strong understanding of data architecture concepts:

• Data lakes/lakehouse/warehouse, dimensional modeling, ELT/ETL patterns
• Batch orchestration, dependency management, SCD handling, incremental loads

Azure Ecosystem (Preferred / Good to Have)

• Azure data services experience in one or more:

• Azure Synapse Analytics / Dedicated SQL Pools

• Azure Databricks / Spark

• ADLS Gen2, Azure SQL DB, Managed Instance

• Event Hub / Kafka, Stream Analytics (if real-time involved)

Monitoring & observability:

• Azure Monitor, Log Analytics, Application Insights

Security & identity:

• Azure AD, Managed Identity, Key Vault, RBAC

Engineering Practices

• CI/CD practices for data pipelines; Git branching strategies and release governance.
• Strong documentation skills: architecture diagrams, solution designs, operational runbooks.

Behavioral / Soft Skills

• Excellent analytical thinking and structured problem-solving.
• Strong communication and stakeholder management skills.
• Ownership mindset, ability to drive standards and influence cross-team adoption.
• Proven mentoring/coaching ability.

Education

• Bachelors/Masters degree in Computer Science, Information Systems, or related field (or equivalent experience).

Nice-to-Have Certifications

• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Certified: Azure Solutions Architect Expert
• DP-203 / AZ-305 (or equivalent)

AI Engineer - Greenfield AI Project - Leeds (Hybrid) Up to £35,000 My client is seeking Graduates with 18 months+ commercial software experience with an interest in AI, ideally some exposure through personal projects or commercial exposure.

ABOUT THE CLIENT

Due to continued growth, we’re recruiting on behalf of an established Leeds-based software house embarking on a greenfield AI project. This is an opportunity to join at the very start of a new AI function, working closely with senior engineers to shape intelligent products from the ground up.

The organisation has a strong engineering culture, modern tech stack, and a track record of delivering scalable software solutions across multiple sectors.

THE BENEFITS

* Hybrid working from their Leeds office * Dedicated learning and development budget * Mentoring from experienced AI and Software Engineers * Clear progression pathway as the AI capability grows * Exposure to real-world AI deployment in production environments

THE AI ENGINEER ROLE

As an AI Engineer, you’ll join a collaborative engineering team working on the design and development of AI-driven features within a brand-new platform. This is a hands-on role where you’ll contribute to model development, data processing pipelines, and integration of AI services into production systems.

You’ll work closely with software engineers, product teams, and stakeholders to help translate business requirements into scalable AI solutions. Given the greenfield nature of the project, you’ll have genuine influence on tooling, frameworks, and best practice from day one.

AI ENGINEER - ESSENTIAL SKILLS

* Degree in Computer Science, Data Science, AI, or similar * Around 18 months’ commercial experience in a software or AI-focused role * Ideally strong Python development skills * Experience working with data processing and APIs * Understanding of machine learning fundamentals * Familiarity with version control (Git) and Agile environments

TO BE CONSIDERED:

Please either apply through this advert or email me directly via . For further information please call me on 0113 887 8355 / 07441 348 209. By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.

KEY SKILLS

AI, Python, Machine Learning, Software Engineering, Data, APIs, Cloud, Agile, Python, TensorFlow, PyTorch, Scikit-learn, XGBoost, NLTK, OpenAI, LangChain, Pandas, NumPy, MLflow, Kubeflow, Docker, Kubernetes, Azure Machine Learning, Google Vertex AI

TPBN1_UKTJ

Job Title: AI Engineer / Machine Learning Engineer Location: UK (Hybrid/Flexible) Salary: £80,000£120,000 Experience: 38 Years A fast-growing technology consultancy is looking for a talented AI Engineer / Machine Learning Engineer to join their expanding AI practice. This is a high-impact role working on real client projects across generative AI, machine learning and cloud-based solutions. Key Responsibilities: Design, build and deploy machine learning and AI solutions for enterprise clients Develop models using Python, PyTorch and modern ML frameworks Work with large datasets to train, evaluate and optimise models Implement and scale solutions on AWS (SageMaker, Bedrock, Lambda, etc.) Contribute to generative AI initiatives using Hugging Face and open-source models Collaborate with data engineers, architects and stakeholders to deliver production systems Required Skills & Experience: 38 years experience in AI, Machine Learning or Data Science roles Strong Python programming skills Hands-on experience with PyTorch Experience with Hugging Face transformers or similar frameworks Solid experience deploying ML solutions on AWS Understanding of MLOps, model deployment and performance optimisation Ability to work in a consultancy environment with multiple clients Desirable: Experience with LLMs, RAG pipelines or generative AI applications Knowledge of Docker, Kubernetes or CI/CD for ML Exposure to other cloud platforms (Azure/GCP) Whats on Offer: £80,000£120,000 base salary Work on cutting-edge AI and generative AI projects Rapid career progression within a growing consultancy Collaborative, innovation-focused culture Flexible/hybrid working If youre looking to build advanced AI solutions and want to be part of a consultancy scaling its AI capability, apply now with your CV. TPBN1\_UKTJ

AleadingFinancialServicesorganisationundergoingalargescaledatatransformationislookingtohireanexperiencedDataQualityManageronapermanentbasis.Theroleoffersasalaryof£95,000plusastrongbenefitspackageandflexibleworking.

ThisrolewillsuitatechnicallycredibleDataQualityleaderwithagenuinepassionfordataquality,accuracyandtrust.Youwillworkcloselywithdataengineersandplatformteamstoembedpragmaticgovernanceandqualitycontrolsintodelivery,whileinfluencingstakeholdersacrossthebusinessandpossessacommercialmindset.

Thisisahandsontechnicalleadershiprole,combiningdataqualityandgovernanceownershipwithpracticalengineeringinput.YouwillleadasmallteamandpartnerwithdataengineersandoperationalSMEstoembedbestpracticeacrossdataquality,governanceanddatamanagement.

Roleremit

• Ownandevolvethedatagovernanceframeworkwithinanengineering-ledenvironment
• Definegovernancestandards,guardrails,datacontractsandSLAs
• PartnerwithRisk,Audit,DataProtectionandLegaltomeetcompliancerequirements
• Workwithdataengineeringteamstoembeddataqualityintopipelinesandworkflows
• Providehands-onguidanceondatamodelling,reconciliation,metadataandbestpractice

Experiencerequired

• StrongbackgroundinDataQuality,DataGovernanceandDataManagementwithinamoderndataengineeringenvironment
• Hands-onexperiencewithclouddataplatforms,Azure,SQL,Pythonandorchestrationtools
• ProvenexperienceembeddingdataqualitycontrolsacrossdatapipelinesandETLtransformationworkflows
• Goodunderstandingofmoderndataarchitecturesandqualitycontrolpatterns
• Experiencewithdataprofiling,lineageanalysis,reconciliationandmetadatamanagement
• Strongstakeholdercommunicationskillswiththeabilitytoinfluenceengineeringteams

IfyouareanexperiencedDataQualityManagerwiththerequiredbackground,pleaserespondwithanup-to-dateCVforreview.

Data Quality Manager - LondonWe're looking for a Data Quality Manager to play a key role in driving data governance and ensuring the integrity of critical business information.This is an exciting opportunity to lead data quality operations, engage with stakeholders across the business, and embed best-practice processes in a collaborative, inclusive environment. The RoleYou will be responsible for operationalising the Data Quality and Governance Framework, leading day-to-day data quality monitoring, issue management, and stewardship engagement. You'll own the data quality rulesets, workflow systems, and performance reporting, helping the business make better decisions, meet regulatory requirements, and achieve a higher level of data maturity. Key Responsibilities \* Lead the operation and continual enhancement of data quality workflow tools, including ruleset development and lifecycle management. \* Conduct data profiling, monitoring, and quality assessments for priority datasets. \* Manage the end-to-end data quality issue lifecycle, from identification to remediation and closure. \* Produce dashboards, KRIs/KPIs, and management information to support governance forums. \* Work closely with business stakeholders, Data Stewards, and Data Owners, providing guidance, training, and operational support. \* Collaborate with BI, Data Architecture, and IT teams to embed monitoring within data pipelines and ensure data completeness, consistency, and availability. \* Identify opportunities to automate and improve data quality processes, contributing to the long-term operating model. About You \* Experienced in data quality, data governance, or a related operational risk function. \* Strong understanding of data profiling, quality metrics, and issue management. \* Skilled in stakeholder engagement and able to translate complex requirements into practical, actionable solutions. \* Familiarity with data workflow tools, BI platforms (e.g., Qlik), and reporting frameworks. \* Collaborative, proactive, and committed to promoting a culture of accountability and transparency. Location & Type \* Location: London/Hybrid \* Type: Permanent, Full-time This is a fantastic opportunity for a hands-on leader to shape the way an organisation manages and governs its data.

Key Responsibilities

• Application Lifecycle: Design, develop, and maintain automated reporting jobs and dynamic dashboards based on stakeholder specifications.* Data Connectivity & Accuracy: Manage data connections to ensure seamless synchronization. Perform rigorous data validation to guarantee accuracy in all reports.* Performance & Resiliency: Build resilient, high-availability solutions. Optimize refresh patterns and resource usage to support Green IT and FinOps goals, ensuring dashboards remain stable under load.* Platform & Governance: Support the health of the Power BI ecosystem by managing workspace security, monitoring capacity performance, and enforcing governance standards.* Collaboration: Maintain strong communication with key business stakeholders and technical teams (often in a distributed/spread environment) to review operational performance and refine solutions.

Technical Stack

• Core Visualization: Microsoft Power BI, Power Query, DAX.* Infrastructure: Power BI Service (Security/Monitoring), Azure Managed Services.* Nice-to-Haves (Plus): + Experience developing Custom Visuals.+ Knowledge of Microsoft Fabric.+ Background in Database Design, Data Mining, or Data Analysis.+ Certification: Microsoft Certified: Power BI Data Analyst Associate (PL-300).

Core Competencies

• Visual Storytelling: Ability to choose the right visualizations to make data accessible to non-technical users.* Technical Growth: A strong desire to learn advanced optimization techniques and cloud architecture.* Attention to Detail: Dedication to delivering error-free data and polished user interfaces.* Communication: Ability to work effectively within an agile, distributed engineering squad.

Bristol (Hybrid)

£35-40k + Bonus + EMI Equity + Private Healthcare

Method Resourcing are working with an established corporate finance advisory firm in Bristol who are investing heavily in AI and automation across the business.

They’ve already implemented Microsoft 365 and Dynamics and are now building internal AI agents to automate research, meeting preparation, document drafting and CRM enrichment.

They’re looking for someone with hands-on experience across:

• Microsoft Dynamics 365
• Microsoft Power Automate
• Microsoft Power Apps

You’ll improve CRM workflows, build new automations, and support the development of AI agents using Microsoft Copilot Studio.

This is not a ticket-based support role, it’s an opportunity to sit at the centre of an AI-enabled transformation inside a high-performing professional services firm.

Ideal for someone early in their Power Platform/AI career who:

* Enjoys breaking down processes into logical steps

* Has built automation workflows end-to-end

* Is curious about AI and operational efficiency

* Wants ownership and exposure, not just admin

Hybrid working (2 days WFH), bonus participation, EMI equity scheme and private healthcare included.

RSG Plc is acting as an Employment Agency in relation to this vacancy.

Data & MIS Manager (Integration & Project Manager)
Wandsworth, London
40,000 to 42,500 + 30 days holiday + Bank Holidays + Pension + Life Insurance

Excellent opportunity for a Data Manager with MIS experience looking for a role offering autonomy and the opportunity to stamp your mark on an organisation, taking ownership of and modernising their data and MIS systems.

This organisation are in the education sector and have a brilliant reputation within their industry. They are well-established, stable, and pride themselves on their culture and being a great place to work.

This role is the first of its kind within the organisation, meaning that it is a great opportunity for you to come in, bring your ideas to the table and truly make your mark. On a day-to-day you will be responsible for data migration, integration, data integrity and quality, reporting and management information, as well as dealing with leadership, governors and stakeholders.

The ideal candidate will come from a Data Manager role (or similar background), ideally within education or broader public sector, and will have experience with an MIS system. You will have good data quality expertise and will be comfortable communicating and dealing with stakeholders in a school environment.

This is a fantastic opportunity to take full ownership of a core system, influence how data is managed across the organisation and contribute to a long term digital strategy, while retaining a strong work life balance in a supportive setting.

The Role:
MIS & Data Manager, acting as system owner and project lead for data migration
Responsible for data cleansing, mapping, validation, User Acceptance Testing and configuration of workflows
Day to day administration of the MIS
Produce reporting for SLT, Governors and compliance requirements, developing dashboards and reducing reliance on manual spreadsheets
Ensure data integrity across admissions, onboarding, year transitions and leavers
Onsite role in Wandsworth

The Person:
Experience in a Data Management role, ideally from education or the broader public sector
Experience with an MIS system
Data Quality expertise
Comfortable communicating with and dealing with stakeholders
Based within a commutable distance of Wandsworth and happy to work onsite

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.

The CompanyNW Tech are delighted to be working with a financial services company in their search for a Business Intelligence Developer. The RoleJoining a newly formed team, you will take ownership of transforming ingested data from the staging layer into governed, high performance star schema models within the reporting layer using Azure Databricks and Azure SQL. Other key responsibilities include:

• Data Modelling - Design and maintain star schema models, ensuring fact and dimension structures are aligned to business definitions and scalable for future growth.
• Reporting Development and Delivery - Contribute directly to the development and enhancement of Tableau dashboards and certified data sources.
• Data Governance - Play a critical role in centralising KPI logic and improving consistency across the reporting estate.
• Platform Management - You will support management and optimisation of Tableau data sources including performance tuning and refresh reliability
• Collaboration - Strong stakeholder engagement will be required, including the ability to explain modelling decisions to non-technical audiences

The RequirementsThis is a brilliant opportunity to work in a fast paced environment which also provides clear pathways for future progression. The role provides a unique opportunity to shape the direction, foundations and long term success of the BI function. Key requirements include:

• Proven experience working in a Business Intelligence, Analytics Engineering or data focused roles
• Strong proficiency in SQL
• Hands-on experience working with Python and Spark, ideally within Azure Databricks
• Understanding of data warehouse principles
• Experience within a regulated environment would be desirable

About the opportunity

Are you ready to launch a career in Data Analytics and Business Intelligence?

Netcom Training s fully-funded Data course (NCFE Certificate in Data, Level 3) equips you with the technical skills employers are actively seeking. From data sourcing, cleansing, and analysis to visualization and reporting, you ll gain hands-on experience that prepares you for today s fast-growing data-driven roles.

Our learners have successfully moved into roles such as Junior Data Analyst, Operations Analyst, Business Intelligence Assistant, and Database Administrator, working across tech, finance, healthcare, and the public sector.

Complete the course and gain a guaranteed interview with a leading employer, helping you kickstart your career

Course Details

• Start Date: 23/02/2026, 16/03/2026
• Duration: 11 weeks
• Days: Monday Thursday
• Times: 6:00 PM 9:00 PM
• Format: Online, practical workshops

What you ll learn

• Data Management: Understand how to source, gather, and store data securely.
• Data Cleansing: Learn to collate and format raw data for accurate processing.
• Analysis & Insight: Analyse datasets to support key business decisions and outcomes.
• Visualization: Present and communicate insights clearly to stakeholders.
• Tools & Tech: Gain exposure to professional tools commonly used in the industry (e.g., Excel concepts, Reporting tools).
• Compliance: Understand secure data handling and GDPR principles.
• Collaboration: Practice continuous professional development in a team setting.

Career Pathway

Successful participants are guaranteed an interview with our network of UK-wide partners working with leading brands.

Potential Roles:

• Junior Data Analyst
• Reporting Assistant
• Data Administrator
• Business Analyst

Eligibility

This is a government-funded opportunity. To apply, you must:

• Live in South Yorkshire.
• Be aged 19 or over.
• Earn below the gross annual wage cap of £34,194.
• Not currently be undertaking other government-funded training.
• Right to Work: You must have lived in the UK/EU for the last 3 years and have the right to work in the UK (Student/Graduate visas are not eligible).

Cost

This is a fully-funded course with no fees complete the training, gain essential data skills, and secure your guaranteed interview.

provided you meet the learner obligations outlined in our employablility terms and conditions, which can be found on our website.

This is an exciting opportunity for a Senior Data Engineer to own the Azure/Databricks data & AI platform end-to-end from architecture and pipelines to governance, data quality, observability, ML enablement so the business gets trusted, timely, and cost-efficient data and models.

Client Details

Senior Data Engineer

The organisation is a well established entity within the financial services industry. It operates as a medium-sized firm and focuses on providing reliable and innovative solutions to its clients.

Description

Senior Data Engineer

• Develop and oversee Azure-based solutions to support analytics functions.
• Design and evolve the Azure/Databricks modern data platform architecture.
• Build, optimise and maintain scalable ETL/ELT pipelines and data models.
• Implement data governance, lineage and cataloguing using Purview/Unity Catalog.
• Establish data quality frameworks, monitoring and observability across pipelines.
• Manage orchestration, platform operations and ITIL-aligned incident/change processes.
• Ensure strong data security, access controls and regulatory compliance.
• Support and enable machine learning and AI solutions within Databricks.
• Monitor and optimise cloud and compute costs using Azure FinOps tooling.
• Provide guidance and mentorship to the analytics team on Azure best practices.

Profile

Senior Data Engineer

A successful senior data engineer will have deep, hands-on experience with Databricks and Azure, with the ability to own platform architecture, delivery and operations end-to-end (including DevOps, monitoring, reliability and cost control). They will be fluent across data engineering, governance, ML enablement and ITIL-aligned change and incident management.

• Proven expertise in delivering Azure and Databricks data platform solutions.
• Strong background in designing and optimising complex ETL/ELT pipelines.
• Hands-on experience with data governance, lineage and cataloguing tools.
• Proven ability to implement data quality, monitoring and observability practices.
• Experience leading platform operations, including incident and change management.
• Demonstrated capability in mentoring others and collaborating with diverse stakeholders.
• Strong leadership skills with the ability to guide and develop teams.
• Excellent analytical and problem-solving abilities.

Job Offer

Senior Data Engineer

• Competitive salary up to £70,000 + Bonus & Benefits.
• Standard benefits package provided.
• Permanent position within a reputable organisation.
• Chance to develop and lead innovative Azure-driven projects.

Take the next step in your career by applying for this Senior Data Engineer position in Basingstoke today. Join a trusted organisation and make a significant impact.

My client is a fast-growing UK FinTech business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment.

This is a hands-on leadership role combining technical ownership, team development, and production-grade model deployment.

The Role

As Lead Data Scientist, you will:

• Lead and develop a growing Data Science team, setting standards and delivery cadence
• Own end-to-end ML solutions - from problem framing and feature engineering to deployment, monitoring, and governance
• Translate business objectives into modelling strategies aligned to risk appetite and operational constraints
• Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent)
• Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions
• Establish monitoring frameworks for performance, drift, and retraining
• Drive clear documentation, traceability, and governance appropriate for a regulated environment

This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance.

Essential Experience

• Proven commercial ML/Data Science delivery with measurable impact
• Experience taking models into production and managing performance over time
• Prior experience leading or mentoring Data Scientists
• Strong Python (pandas, numpy, scikit-learn or similar)
• Strong SQL (complex joins, aggregations, analytical functions)
• Solid grounding in applied statistics, evaluation design, calibration, bias/fairness
• Experience working closely with Engineering/Data teams in production-first environments
• Comfortable operating within regulated industries

Desirable

• AWS experience (S3, Athena/Glue, IAM, Lambda)
• SageMaker or equivalent ML platform experience
• Financial services domain knowledge (risk, fraud, affordability, payments)
• Experience with model explainability and governance documentation

Package & Benefits

• Hybrid working model
• Competitive pension
• Additional paid leave (birthday, charity, wellbeing, life events)
• Employee assistance programme & Virtual GP
• Modern collaborative office environment

Interested? Please Click Apply Now! Lead Data Scientist

This is a great time for a junior-to-mid-level Python Developer, to consider joining an established Oxfordshire-based scale-up in the Medtech sector. The Python Developer will be joining a dedicated R&D team that leverage machine and deep learning for the computer vision and signal processing algorithms that underpin an innovative patient-monitoring platform, deployed in 100s of hospitals across the UK and US.

Using existing Python skills to support the research, development, deployment and monitoring of deep-learning enabled products into hospitals, the Python Developer will work with a variety of technologies including the Python scientific stack (NumPy, Pandas, SciPy, etc.), frameworks such as OpenCV, PyTorch, TensorFlow and JAX, data pipeline tools such as Airflow or Prefect and data processing tools such as Spark or Databricks.

The Company

The Python Developer will be joining a company whose platform has been scientifically proven to deliver safer, high-quality and efficient patient care, at an exciting time of growth and expansion into new markets. As a well-funded scale-up, they offer an entrepreneurial team spirit, where you’ll be contributing directly to the team’s success. Working predominantly remotely, you’d ideally be onsite a couple of times each month, although there will be other opportunities for meeting up as a team off-site.

Benefits

• Predominantly remote working
• 25 days’ holiday, with the ability to purchase more
• Private health insurance
• Personal Learning & Development budget
• Wellbeing days

What’s required to be successful in this role?

• Demonstrable programming ability in Python, preferably within a data context
• A STEM-related degree
• Some experience with the Python scientific stack (NumPy, Pandas, SciPy, etc.) is preferred
• Experience with Docker, GIT and Linux

So What’s Next?

If you are an experienced Python Developer looking for your next technical challenge and the opportunity to further develop your skills; apply now for immediate consideration!

Software Developer, Python Developer, Software Engineer, Python

Corriculo Ltd acts as an employment agency and an employment business.

High Growth B2B SaaS AI & Machine Learning Platform

£90,000 - £100,000 + Significant Equity

I am working with a scaling London based technology business where Machine Learning and AI sit at the core of the product.

The platform is built around a large-scale dataset created by crawling the web and collecting millions of listings from multiple external sources. That raw data is then structured, matched and analysed to power a suite of SaaS tools used across the market.

One of the core technical challenges is that the same entity can appear multiple times across different sources, often with slightly different attributes or descriptions. The platform uses a combination of neural networks and rule based systems to match records and build a reliable dataset over time. They are now hiring a Head of Data to take ownership of their data and AI platform.

The Opportunity

This is a hands-on leadership role where you will lead a team of 5-6 across Data Science and Data Engineering while remaining technically involved in modelling, machine learning deployment and architectural decisions.

The platform runs on AWS and includes large-scale crawlers ingesting significant volumes of external data. However, the architecture has evolved over time and data currently sits across multiple siloed systems.

They need someone who understands what good looks like in a modern data platform and can bring structure, coherence and technical direction.

You will take ownership of improving the data architecture, strengthening the matching systems and defining a clear data and AI roadmap for the business.

Key Areas of Focus

• Designing and improving a scalable AWS based data platform
• Rationalising fragmented data across multiple systems
• Leading the full machine learning lifecycle from ingestion and feature engineering through to deployment
• Improving neural network and rule based matching systems used to identify the same entities across different sources
• Embedding robust MLOps and model monitoring
• Building a coherent data architecture that supports future AI development
• Leading and developing a team of Data Scientists and Data Engineers

The Background That Works Well

Relevant experience in environments that deal with messy data from multiple external sources might include:

• Web crawling or large-scale web data ingestion
• Marketplace or data aggregation platforms
• Entity resolution, record linkage or deduplication systems
• Matching systems or recommendation engines
• Geospatial or address based data platforms
• ML systems deployed into production

You do not need sector experience, but you should be comfortable working with complex datasets where the same entity appears across multiple sources.

What They Are Looking For

• Strong Data Science background with hands on machine learning experience
• Experience deploying ML models into production environments
• Understanding of data engineering concepts and modern cloud data platforms
• Architectural thinking around data platforms and ML systems
• Experience working with messy, multi source datasets
• Leadership experience managing small, high impact teams
• Someone proactive who can define standards and shape the data roadmap

Package

Salary: £90,000 - £100,000

Equity: Meaningful equity with real upside (3 year vesting)

Location: London - Hybrid working, typically 2-3 days in the office with a pragmatic approach to flexibility

This is a high ownership role where you will be shaping the foundations of a data and AI platform inside a scaling technology business.

If you enjoy solving complex data problems, building scalable machine learning systems and leading a small but impactful team, I would be keen to speak.

My client is a fast-growing UK FinTech business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment.

This is a hands-on leadership role combining technical ownership, team development, and production-grade model deployment.

The Role

As Lead Data Scientist, you will:

• Lead and develop a growing Data Science team, setting standards and delivery cadence
• Own end-to-end ML solutions - from problem framing and feature engineering to deployment, monitoring, and governance
• Translate business objectives into modelling strategies aligned to risk appetite and operational constraints
• Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent)
• Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions
• Establish monitoring frameworks for performance, drift, and retraining
• Drive clear documentation, traceability, and governance appropriate for a regulated environment

This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance.

Essential Experience

• Proven commercial ML/Data Science delivery with measurable impact
• Experience taking models into production and managing performance over time
• Prior experience leading or mentoring Data Scientists
• Strong Python (pandas, numpy, scikit-learn or similar)
• Strong SQL (complex joins, aggregations, analytical functions)
• Solid grounding in applied statistics, evaluation design, calibration, bias/fairness
• Experience working closely with Engineering/Data teams in production-first environments
• Comfortable operating within regulated industries

Desirable

• AWS experience (S3, Athena/Glue, IAM, Lambda)
• SageMaker or equivalent ML platform experience
• Financial services domain knowledge (risk, fraud, affordability, payments)
• Experience with model explainability and governance documentation

Package & Benefits

• Hybrid working model
• Competitive pension
• Additional paid leave (birthday, charity, wellbeing, life events)
• Employee assistance programme & Virtual GP
• Modern collaborative office environment

Interested? Please Click Apply Now! Lead Data Scientist