SC Cleared Data Engineer

We’re looking for a Data Engineer to join a collaborative team delivering high-quality data solutions across modern cloud platforms. This role is ideal for someone who enjoys designing, building, and optimising data pipelines while working closely with architects, engineers, and stakeholders to deliver practical business outcomes.

You’ll act as a technical contributor within the team, helping shape data system designs such as data meshes, warehouses, and event-driven architectures. You’ll also build and refine data flows that connect operational systems with analytics and BI platforms, ensuring performance, scalability, and reliability.

Alongside delivery, you’ll contribute to best practice across the engineering community, support the onboarding and development of other engineers, and help maintain strong technical standards. There will also be opportunities to work on internal knowledge sharing through blogs, workshops, seminars, and conferences.

Salary: £55,000-£65,000
Locations: Bristol and London

Skills and experience

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  Strong Python experience.

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  Hands-on experience with Snowflake, dbt, AWS, and Terraform.

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  Experience with data system design, including data lakes, data meshes, and data warehouses.

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  Strong understanding of SQL and other data sources such as NoSQL and graph databases.

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  Experience delivering infrastructure across data platforms such as Snowflake, Elastic, Redshift, Databricks, or Splunk.

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  Strong data modelling and normalisation knowledge.

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  Experience working with large datasets.

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  Good understanding of security best practices.

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  Strong teamwork, communication, and presentation skills.

• p]:pt-0 [&>p]:mb-2 [&>p]:my-0’>Active SC clearance

Summary

The Maintenance Analyst Team provides analytical support and guidance to all levels of the Organisation, delivering accurate data, clear analysis, and reliable reporting to enhance understanding and improve results. In addition, the Team also is responsible for setting the Maintenance Department up for success by facilitating business processes and having technical oversight of the systems

The Team operates in a dynamic environment and is frequently required to deliver analysis within tight deadlines, against competing priorities. The Team is the go-to for Site support in facilitating the Organisations operation, so manages a high and diverse workload

Function of Role

Data Analysis

• Stewardship and analysis of Maintenance Costs
• Identifying areas of poor performance and develop suggestions for improvement
• Development and enhancements to the Team’s Power BI’s and scorecards
• Ad-hoc requests from across the Organisation

Facilitation Business Processes

• Preparation of the Financial Accruals of the Maintenance Department’s outstanding costs, integrating feedback from multiple sources
• Oversight of the Maintenance Department’s costs, particularly supporting with transfers
• Execution and document retention of internal Controls tests to ensure Audit compliance
• Collaborating with the Reliability teams to develop the Annual Maintenance Plan, both from the Financial and Worklist perspective
• Technical System Administrator for the Maintenance LAN / SharePoint / SAP

Metric Reporting

• Production of Maintenance Cost Reports
• Production of Corporate Reliability Metrics
• Commercial Reporting on outstanding costs
• ProductionofKPI Scorecard for the 10 Business Segments, e.g.
  • Backlogs
  • Plan Completion
  • Jobs per FTE
  • Unit Rate vs Time & Materials of the major Site Contractors
  • Open Work Orders & Purchase Orders
• Support of local Management’s stewardship presentation to Senior Leadership
• Oversight of the Team’s automated Power BI reports

Behavioural Requirements

Self-motivated and proactive approach to problem-solving
A data driven mindset
Innate curiosity to understand systems, data structures, and business processes
Clear communication skills, with the ability to tailor to the audience using different presentation styles, e.g. verbal, email, PowerPoint
A collaborative attitude and willingness to support for the General Interest of the Site
Resilient and adaptability to changing priorities

Must to have requirements

• Microsoft Office experience including Excel, Powerpoint, Outlook, Word, Power BI, Sharepoint
• Full site attendance for all days (no working from home)
• Analytical and data experience and skills
• Well organised and structured.
• Can do and driven attitude.
• Team player who can communicate well.

Additional requirements that would be beneficial

• SAP experience
• Snowflake
• Maintenance/ Oil gas experience.

DV Cleared Data Architect

Location: UK (On-site)
Security Clearance: Developed Vetting (DV) - Active & Transferable
Sector: Defence / National Security
Employment Type: Contract
Rate: 650 - 700/ Day (Outside IR35)
Duration: 6 Months

We are working with a high-profile defence client on a mission-critical programme and are seeking an experienced DV Cleared Data Architect to play a key role in shaping and delivering secure, scalable data solutions within a highly regulated environment.

This is an opportunity to work on complex, nationally significant systems, collaborating with senior technical and stakeholder teams to design robust data architectures that directly support operational outcomes.

Key Responsibilities

• Lead the design and ownership of enterprise-level data architectures in a secure defence setting
• Define data models, integration patterns, and data governance standards
• Work closely with solution architects, engineers, security teams, and delivery leads
• Ensure architectures align with security, compliance, and accreditation requirements
• Support cloud and hybrid data platforms, including modern analytics and data engineering stacks
• Provide technical leadership and architectural assurance across programmes

Essential Skills & Experience

• Active DV clearance (mandatory)
• Proven experience as a Data Architect in complex, large-scale environments
• Strong background in data modelling, data integration, and data lifecycle management
• Experience designing architectures for secure, high-assurance systems
• Knowledge of modern data platforms (e.g. cloud-based data lakes / warehouses)
• Ability to engage confidently with senior stakeholders and technical teams

Desirable Experience

• Experience within defence, national security, or central government
• Exposure to platforms such as Databricks, Snowflake, Azure, or AWS
• Familiarity with architectural frameworks and standards
• Understanding of DevSecOps and secure-by-design principles

A leading Financial Services organisation in London is seeking an experienced Data Engineering Manager to join on a permanent basis. This role offers a base salary of up to £90,000, alongside a strong benefits package and flexible working arrangements.

This is a hands-on leadership role where you will be responsible for building, scaling, and optimising data engineering capability. You will lead a team of engineers while remaining closely involved in the design, development, and ongoing improvement of robust, cloud based data platforms and pipelines.

Key responsibilities include:

• Leading and mentoring a team of Data Engineers, driving high engineering standards and delivery quality
• Designing, building, and maintaining scalable and reliable data pipelines and data architecture
• Driving continuous improvement across tooling, processes, and engineering best practice
• Supporting cloud platform development and optimisation within Azure environments

Key skills and experience required:

• Proven experience in a Data Engineering Manager or Lead Data Engineer role
• Strong SQL development skills, with experience using Snowflake highly desirable
• Strong hands-on experience working within Microsoft Azure environments, including Azure Data Factory and Azure DevOps
• Experience leading and developing engineering teams
• Strong experience working within Agile delivery environments
• A problem-solving mindset with a strong interest in innovation and continuous improvement

If you are an experienced Data Engineering Manager looking to join a growing Financial Services organisation, please apply with an up-to-date CV for review.

Senior Data Engineer

As a Senior Data Engineer, you will be responsible for building and maintaining the core data foundations that power analytics, machine learning, and CRM activation across our US and UK markets.

You will own the design and evolution of our data models and pipelines in platforms such as Snowflake, using tools like dbt and AWS to standardise schemas, improve data quality, and support advanced use cases including personalisation, experimentation, and automation. Your work will form the backbone for downstream capabilities such as propensity modelling, recommendation systems, and real‑time customer engagement.

Working closely with Data Science and Marketing teams, you will translate analytical and product requirements into dependable data products. This is a senior, hands‑on role with a strong emphasis on engineering quality, documentation, and long‑term maintainability, helping ensure our data platform scales as our automation and personalisation ambitions grow.

Key responsibilities

• Build and evolve shared data assets (e.g. feature tables or a feature store) that support consistent training, inference, and experimentation for data science models.
• Own the structure and quality of core datasets in Snowflake, including standardising schemas and ensuring data is accurate, well‑documented, and easy to use.
• Partner closely with Data Scientists and ML Engineers to translate modelling and serving requirements into dependable, scalable data products.
• Support CRM and activation use cases by enabling clean, timely data feeds to downstream platforms, including data models to facilitate BI development (Power BI)
• Directly manage and develop an Analytics Engineer

Your skills, qualities, and experience

• A proven track record as a data engineer building reliable data pipelines and datasets used by analytics, machine learning, or customer‑facing platforms.
• Degree in a technical or quantitative field (e.g. Computer Science, Engineering, Mathematics) or equivalent professional experience.
• Very strong SQL and data modelling skills
• Strong experience with AWS and cloud computing, designing and operating data workloads using services such as S3, Lambda, IAM, CloudWatch, and other serverless or managed compute services.
• Experience building and maintaining data pipelines via APIs, integrating external systems and downstream platforms into the data stack.
• Experience developing transformation pipelines using tools like dbt, with solid engineering practices (testing, documentation, version control).
• Experience administering cloud data platforms, including managing roles and permissions, applying role‑based access control, and monitoring usage and cost across AWS and Snowflake.
• Comfortable collaborating with Data Scientists, ML Engineers, and CRM teams to translate requirements into dependable, scalable data products.
• Experience supporting customer or CRM data and feeding downstream activation platforms.
• Familiarity with orchestration tools (e.g. Airflow) and operating data pipelines at scale.
• Exposure to feature engineering concepts for machine learning

About Us - Our values

ATG Entertainment’s values set the tone for how we work, how we treat one another, and the culture we continue to build across the UK and the wider organisation.

• THRIVE doing what we love (with passion and dynamism)
• CONNECT through every act (with collaboration and kindness)
• DARE to do different (with curiosity and courage)
• PERFORM at our best (with customer focus and ownership)

Our Corporate Social Responsibility pillars

Everyone at ATG Entertainment is expected to play their part in achieving our goals and upholding our Corporate Social Responsibility priorities:

• Inclusion:  Committing to creating and upholding a positive, inclusive culture that nurtures potential and supports well-being.
• Sustainability:  Playing your part in reducing our environmental impact and finding more sustainable ways of working.
• Next Generations:  Encouraging the next generation in live entertainment by contributing to our outreach and training programmes, including mentoring students and trainees, and supporting our Creative Learning and Community Partnerships work.

Our culture

You’ll help us uphold a positive culture around meeting our obligations, by having a positive attitude to health and safety, legal and insurance requirements and take care to understand our policies and procedures.

We are all expected to participate actively in the life of the company, and opportunities will arise for you to collaborate with others across the business. Everyone at ATG Entertainment is expected to be flexible and adapt as the needs of the business change, taking on new or different responsibilities as the need arises.

Our Inclusion, Diversity, Equity and Access Mission Statement - A Stage for Everyone  
 
Our stages are a platform for compelling stories – stories that are for all, by all, and of all. We shine our spotlight on our differences and believe that understanding and celebrating these differences makes us better global citizens. We are passionate about the pursuit of true diversity and equality. We strive to make our venues beacons of these ideals in our communities. Onstage and off, we hold ourselves accountable for nurturing an inclusive culture, one in which everyone can bring their authentic selves. At ATG entertainment, we provide a stage for everyone.

We recognise that we do not have all the answers; but we strive to listen, to learn and to change in order to ensure ATG Entertainment becomes a truly inclusive organisation. We therefore welcome and encourage applications from individuals from the widest possible range of backgrounds and particularly welcome applications from those currently underrepresented in our workforce.

We are a Disability Confident Committed Employer, which means that we are taking action to ensure that people with disabilities and long-term health conditions feel supported, engaged, and able to fulfil their potential in the workplace. We will offer an interview or recruitment event to disabled candidates who tell us they wish to participate in the scheme and who demonstrate in their application that they best meet the essential criteria for the role. Where we receive more applications than we are reasonably able to interview for any given role, we will retain applications for the next available interview opportunity wherever possible.

If you’d like to discuss accessibility prior to applying, please email   for a confidential discussion.

Salary: 70-80kClosing Date:

Job Title: Technical Lead - Collibra
Location: Norwich, Norfolk
Job Type: Contract (Inside IR35)
Duration: 6 MonthsJob Summary:
We are looking for a Senior Technical Lead with in-depth expertise in data governance, data quality, metadata management, and a strong background in delivering solutions using the Collibra platform. You will play a pivotal role in defining solution architectures, leading Collibra configuration and integration, implementing governance workflows, and collaborating closely with enterprise architects, data stewards, and platform teams. Key Responsibilities:

• Solution Architecture & Design

  • Lead the design and implementation of Collibra-based data governance solutions, including:
    • Data Catalog
    • Business Glossary
    • Policy & Standards
    • Data Quality Integration
    • Operating Models (roles, responsibilities, stewardships)
  • Define Collibra architecture, metadata models, custom domains, and asset types.
  • Create reusable frameworks for metadata ingestion, lineage, and governance workflows.

• Collibra Configuration & Development

  • Configure Collibra components:
    • Custom asset models
    • Attribute definitions
    • Relations and hierarchies
    • Workflows (BPMN-based)
    • Data quality dashboards & certification workflows
  • Develop and maintain Collibra REST APIs, Connect integrations, and catalog crawlers.
  • Implement metadata onboarding processes and automated connectors to cloud/on-prem data platforms.

• Data Governance & Data Quality Leadership

  • Collaborate with data governance councils, data stewards, and business SMEs to define:
    • Data standards
    • Business glossary terms
    • Data ownership & stewardship models
    • Data quality rules, SLAs, and issue management workflows
  • Ensure alignment with enterprise data governance frameworks and compliance requirements.

• Integration & Metadata Lineage

  • Implement automated metadata ingestion from:
    • Data lakes
    • ETL tools (Glue, Informatica, Talend, IICS)
    • Data warehouses (Redshift, Snowflake, BigQuery)
    • BI tools (Power BI, Tableau)
    • Streaming sources (Kafka)
  • Build lineage diagrams across ETL pipelines, APIs, datasets, and downstream consumption layers.
  • Ensure metadata completeness, accuracy, and operational SLAs.

Essential Skills & Experience:

• Expertise with Collibra platform (configuration, integration, and workflow implementation)
• Experience with:
  • Data lakes
  • ETL tools (Glue, Informatica, Talend, IICS)
  • Data warehouses (Redshift, Snowflake, BigQuery)
  • BI tools (Power BI, Tableau)
  • Streaming sources (Kafka)
• Ability to build lineage diagrams across ETL pipelines, APIs, datasets, and consumption layers
• Strong knowledge of metadata management, data quality, and data governance frameworks
• Excellent stakeholder management and collaboration skills

Job description. Staff Data Engineer (Data Specialist / Backend Focus) Location: Belfast (Hybrid) Eligibility: UK work authorisation required (no sponsorship available) We're looking for a high calibre Staff Data Engineer who brings deep expertise in data engineering, but can also operate comfortably across the backend engineering landscape. This is not a typical data role. It's aimed at someone who can go deep on data pipelines, modelling, and performance, while also contributing more broadly to system design and backend services when needed. If you enjoy working across both worlds, this is where you'll stand out. Why join? \* High-impact, senior role with real architectural influence \* Work across both data engineering and backend systems \* Modern, scalable platform with complex technical challenges \* Collaborative engineering culture with strong technical ownership \* Clear opportunity to shape standards and direction What you'll be doing: \* Design and evolve scalable data pipelines and platforms \* Contribute to backend services and system architecture beyond the data layer \* Ensure data systems are reliable, performant, and production-ready \* Work closely with engineering, product, and analytics teams \* Set and drive best practices across data and backend engineering \* Mentor engineers and support technical decision-making \* Troubleshoot complex system and data issues What you'll bring: \* Deep experience building production grade data systems \* Strong SQL and hands-on experience with modern data tooling and cloud platforms \* Ability to work beyond data into backend engineering (APIs, services, system design) \* Experience with distributed systems and event driven architectures \* Strong software engineering fundamentals (testing, CI/CD, version control) \* Clear communication skills and ability to influence technical direction Interested? If you're someone who combines deep data expertise with broader engineering capability, get in touch with Justin Donaldson for a confidential chat. Skills: dbt spark sql snowflake apache airflow cloud

Tech Lead - Cloud & Data Platform

Bristol (Hybrid - must be commutable)

Up to £85,000

The Opportunity

We’re working with a fast-growing, award-winning Data & AI consultancy expanding across the UK and globally.

With a strong track record in delivering data transformation programmes, they help organisations unlock value through cloud, analytics, and AI.

Due to continued growth, they are looking for a Tech Lead to bring technical oversight, leadership, and structure across client delivery and internal platforms.

The Role

You will act as the technical authority, ensuring high-quality delivery across all projects while shaping architecture and best practices.

Key Responsibilities

• Own technical delivery quality across data & AI projects
• Design cloud-first architectures and data platforms
• Lead and optimise Azure environments
• Mentor engineers and promote best practice
• Support hiring and team growth
• Influence technical strategy and tooling
• Ensure solutions are scalable, secure, and delivered on time

About You

• Background as a Tech Lead, Data Architect, or Senior Data Engineer
• Strong cloud + data platform expertise
• Comfortable in a strategic, less hands-on role
• Thrives in a fast-paced, scaling environment.

Technical Environment

Cloud (Essential)

• Strong Azure experience
• AWS exposure beneficial
• Focus on scalable, secure, cost-efficient design

Data Platforms

Databricks | Snowflake | Microsoft Fabric

Engineering & Tooling

• CI/CD: GitHub, Azure DevOps
• Infrastructure as Code: Terraform
• Programming: SQL, Python

Data Architecture

• Translating business needs into data models
• Dimensional modelling (e.g. Kimball)

Why Join?

Work on cutting-edge data & AI projects, join a high-growth consultancy, shape the technical direction of the business, and benefit from a flexible, innovation-driven environment.

You will join one of the UK’s leading financial services companies, who have built their success by putting people at the heart of their organisation by identifying and delivering products and services that are right for their customers. My client is looking for a Data Modeller to play a key role in designing, developing, and maintaining the conceptual, logical, and physical data models that support our enterprise data strategy. You’ll collaborate closely with Architecture, Data Product, and Engineering teams to build scalable, high-performing data solutions within our modern data platform.

Key Responsibilities

• Designing and modelling data structures aligned to strategic data products and long-term business outcomes
• Developing conceptual, logical, and physical data models using industry best practice
• Ensuring alignment with enterprise reference architecture and governance standards
• Analysing data integration challenges and recommending effective solutions
• Identifying reuse opportunities across existing models and improving modelling consistency

Essential Skills

• Strong experience designing conceptual, logical, and physical data models
• Knowledge of normalisation, denormalisation, and best-practice modelling techniques
• Understanding of metadata management, data governance, and data quality frameworks
• Proficiency with SQL and ideally one or more programming languages (eg, Python, PySpark)
• Experience with database technologies and data warehousing principles (star schema, snowflake, data vault)
• Experience working with cloud data services specifically with AWS (including Redshift and S3)
• Banking industry background

Benefits

• Salary up to £59,000 + up to 20% bonus
• Hybrid working: Once a fortnight/month
• 28 days holiday plus bank holidays (option to buy and sell)
• Life assurance (6x annual salary)
• Personal pension with matched contributions
• Ongoing training and opportunities for development

If you are interested in the role, please apply now for immediate review!

Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

About the Role

We have a new opportunity for a proactive and technical Senior BI Engineer to join our highly skilled Data team.

You will lead stakeholder engagement and deliver cloud-based BI solutions by transforming raw data into actionable insights to enable more effective strategic and operational decision-making.

This role is offered on a permanent basis with a requirement for regular presence in our Bournemouth office.

Key Responsibilities

•Lead the BI workstream for change portfolios, providing technical expertise and design guidance to ensure solutions align with the data strategy and comply with design standards.

•Utilise cloud technologies and programming languages to develop and maintain centralised data platforms that support the business’s operational and strategic needs.

•Ensure all BI processes and reports are accurately and appropriately documented and that all data governance and quality processes are followed and continuously improved.

•Collaborate with stakeholders to translate data requirements into actionable requests or build solutions.

•Plan and coordinate the prioritisation of data requests to meet business needs in the most appropriate and controlled manner.

•Manage and review the work of developers, mentoring and sharing best practices.

•Contribute to the development and improvement of technical data standards and ensure the development of data products are compliant.

About You

•Extensive experience in BI development and business intelligence and proficient in SQL, Python, DAX, Power Query (M Language)

•Demonstrated understanding of data warehousing, data modeling (Star Schema, Snowflake), and ETL/ELT processes

•Strong business-facing skills with expertise in business modeling and translating processes into data models, combined with advanced performance tuning for large datasets

•Demonstrated ability to apply tools and processes for data security, quality, and accuracy, while implementing best-practice data management, governance, and quality standards

•Proven experience of taking a development lead on work streams within a data centric or technical project

•Exceptional communication skills with the ability to manage stakeholders and translate technical data to a non-technical audience

•Ability to work in an agile, fast-paced environment whilst prioritising tasks to stay responsive to business needs

•Experience of proactively building and maintaining relationships both externally and internally

•Collaborate with end users to review testing outcomes, provide recommendations, and address data quality feedback

Desirable

•Previous experience of working in the insurance/financial services sector

Rewards & Benefits

This role is a Band C in the LV= Structure.

At LV= Life and Pensions, you’ll go above and beyond to do the right thing for our customers. We’ll reward your hard work with an attractive, competitive salary and benefits package, which includes:

•30 days’ holiday.

•The opportunity to buy or sell up to five days of holiday.

•An annual bonus scheme based on company and personal performance.

•Single-cover private medical insurance (with the option for you to upgrade to family cover).

•Flexible benefits, including a cycle to work scheme, personal accident insurance, critical illness cover and dental insurance.

•Competitive pension scheme - LV= Life and Pensions will double-match the amount you pay, up to 14% (subject to National Minimum Wage requirements).

•Group Life Assurance of four times your basic pay to your dependents (you’ll have the option to increase this to 8 x cover).

•Group Income Protection, if you enrol into the pension scheme and reach 5 years of service.

•Employee Assistance Programme (EAP) service for support when you need it.

•Virtual GP service.

•Shared parental leave.

•Up to 20% discount on our life products for you and your immediate family.

Please note all salary sacrifice benefits are subject to National Minimum Wage requirements i.e. you are unable to select any benefits that would reduce your base pay below the minimum wage threshold.

Please note that we are unable to offer Skilled Worker Visa Sponsorship for this role. Therefore, you must ensure that you are eligible to work in the UK without our sponsorship for your application to be considered.

We’re proud of our inclusive culture at LV= and, as an equal-opportunity employer, we continually work to remove unconscious bias from our recruitment process. We value our colleagues for what they bring to our team regardless of any protected status or characteristics they may have. Talk to us about flexible working as part of your application; if it’s right for you, our members and customers, and our business, then we’ll do everything we can to make it happen.

Lead Analytics Engineer / Senior Data Contractor

London / Hybrid Contract SaaS / Product-Led Environment

I am currently supporting a fast-growing SaaS business with an urgent requirement for an experienced Lead Analytics Engineer / Senior Data Contractor to help drive and stabilise their analytics capability.

This is a highly hands-on role, ideal for someone who enjoys working across data engineering, analytics, and commercial insight, with strong exposure to modern cloud data stacks and stakeholder-facing delivery.

You will be joining a fast-paced environment where data is central to product, commercial, finance, and leadership decision-making.

The Role

You will take ownership of analytics delivery across the business, helping to ensure data is trusted, accessible, and directly supports strategic decisions.

• Designing and maintaining scalable data pipelines and analytical datasets
• Building and refining SQL / dbt transformation logic
• Developing robust semantic models and business metrics frameworks
• Delivering high-quality Power BI dashboards and reporting
• Supporting cloud data warehouse environments such as Redshift, Snowflake, Databricks, or similar
• Driving data quality, validation, and testing best practise
• Collaborating closely with product, commercial, finance, and leadership teams
• Translating complex data into clear, decision-ready insight

Required Experience

We are seeking candidates with strong hands-on expertise in the following areas:

• Advanced SQL
• dbt
• Python
• Power BI
• Cloud warehouse experience (Redshift / Snowflake / Databricks / Fabric / AWS)
• Strong data modelling and semantic layer design
• KPI and metrics ownership
• Experience in SaaS, product-led, fintech, or scale-up environments

Ideal Background

This position would suit someone currently working as a:

• Lead Analytics Engineer
• Senior Analytics Engineer
• Senior Data Engineer
• Data & Analytics Lead
• BI / Analytics Contractor

Location

London / Hybrid working.

If this opportunity aligns with your experience and aspirations, please apply or contact us directly for further information.

Your new role
As part of the Data Analytics & AI team, you’ll help build and evolve a Snowflake-based data platform. You will design and maintain robust data pipelines and models that transform data from operational systems into trusted, analytics-ready assets. Your work will enable high-quality reporting, insight generation, and future AI/ML initiatives across the business.
What You’ll Do

Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools.

Work with Snowflake: Design and optimise data models, manage performance, and adopt advanced Snowflake features.
Ensure Data Quality: Apply governance, security, and compliance standards.
Collaborate: Support analysts and business teams with clean, structured data for reporting and analytics.
Monitor & Improve: Implement monitoring, alerting, and cost controls for Snowflake and pipelines.
Contribute to Best Practices: Help define standards for naming, schema design, and development processes.

What you’ll need to succeed

• Strong hands-on experience with Snowflake, SQL, Python, and Dbt
• Solid understanding of data modelling, data governance, and cloud platforms (AWS preferred)
• Experience supporting analytics using BI tools such as Power BI
• Familiarity with data ingestion tools (e.g. Airbyte, Fivetran)
• Working knowledge of Git, CI/CD, and modern data engineering practices

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)

Your new role As part of the Data Analytics & AI team, you'll help build and evolve a Snowflake-based data platform. You will design and maintain robust data pipelines and models that transform data from operational systems into trusted, analytics-ready assets. Your work will enable high-quality reporting, insight generation, and future AI/ML initiatives across the business. What You'll Do \* Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools. \* Work with Snowflake: Design and optimise data models, manage performance, and adopt advanced Snowflake features. \* Ensure Data Quality: Apply governance, security, and compliance standards. \* Collaborate: Support analysts and business teams with clean, structured data for reporting and analytics. \* Monitor & Improve: Implement monitoring, alerting, and cost controls for Snowflake and pipelines. \* Contribute to Best Practices: Help define standards for naming, schema design, and development processes. What you'll need to succeed Strong hands-on experience with Snowflake, SQL, Python, and Dbt Solid understanding of data modelling, data governance, and cloud platforms (AWS preferred) Experience supporting analytics using BI tools such as Power BI Familiarity with data ingestion tools (e.g. Airbyte, Fivetran) Working knowledge of Git, CI/CD, and modern data engineering practices 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)

Tech Lead - Cloud & Data Platform

Bristol (Hybrid - must be commutable)

Up to £85,000

The Opportunity

We’re working with a fast-growing, award-winning Data & AI consultancy expanding across the UK and globally.

With a strong track record in delivering data transformation programmes, they help organisations unlock value through cloud, analytics, and AI.

Due to continued growth, they are looking for a Tech Lead to bring technical oversight, leadership, and structure across client delivery and internal platforms.

The Role

You will act as the technical authority, ensuring high-quality delivery across all projects while shaping architecture and best practices.

Key Responsibilities

Own technical delivery quality across data & AI projects

Design cloud-first architectures and data platforms

Lead and optimise Azure environments

Mentor engineers and promote best practice

Support hiring and team growth

Influence technical strategy and tooling

Ensure solutions are scalable, secure, and delivered on time

About You

Background as a Tech Lead, Data Architect, or Senior Data Engineer

Strong cloud + data platform expertise

Comfortable in a strategic, less hands-on role

Thrives in a fast-paced, scaling environment.

Technical Environment

Cloud (Essential)

Strong Azure experience

AWS exposure beneficial

Focus on scalable, secure, cost-efficient design

Data Platforms

Databricks | Snowflake | Microsoft Fabric

Engineering & Tooling

CI/CD: GitHub, Azure DevOps

Infrastructure as Code: Terraform

Programming: SQL, Python

Data Architecture

Translating business needs into data models

Dimensional modelling (e.g. Kimball)

Why Join?

Work on cutting-edge data & AI projects, join a high-growth consultancy, shape the technical direction of the business, and benefit from a flexible, innovation-driven environment.

TPBN1_UKTJ

Senior Data Platform Engineer (Snowflake) Locations: Manchester / London / Staines (Hybrid)
Type: Permanent, Full-Time (37.5 hours)
Salary: £70,% Bonus Excellent Benefits

Overview We’re hiring a Senior Data Platform Engineer to play a key role in designing, building, and operating a secure, scalable enterprise data platform with a strong focus on Snowflake.

This is a senior-level position where you’ll take ownership of platform engineering capabilities- driving automation, governance, and performance optimisation, while enabling data teams to deliver advanced analytics at scale.

You’ll operate with a high level of autonomy, contributing to platform standards, improving reliability, and ensuring cost-effective, compliant data operations.

Key Responsibilities

• Design, build, and manage Snowflake platform capabilities within an enterprise data environment
• Automate infrastructure and resource provisioning using Terraform (IaC)
• Develop and maintain CI/CD pipelines (GitHub Actions / Azure DevOps)
• Implement monitoring, alerting, and observability frameworks
• Lead cost optimisation initiatives across Snowflake workloads
• Define and enforce security best practices (RBAC, data masking, identity integration)
• Establish governance and compliance frameworks (audit logging, access reviews)
• Design and implement disaster recovery and business continuity strategies
• Create reusable modules, templates, and platform standards
• Produce high-quality documentation, runbooks, and onboarding materials

Required Skills & Experience

• Strong experience in platform or cloud engineering within enterprise environments
• Deep expertise in Snowflake (warehousing, RBAC, data sharing, performance tuning)
• Hands-on experience with Terraform and Infrastructure as Code
• Proven experience building CI/CD pipelines (GitHub Actions or Azure DevOps)
• Strong scripting skills (SQL, Python, or Bash)
• Solid understanding of Snowflake security features (masking, encryption, identity federation)
• Experience with monitoring, query profiling, and usage tracking
• Demonstrated ability to optimise performance and manage costs in large-scale environments
• Strong communication skills with the ability to work across engineering, data, and compliance teams
• Proactive approach to documentation and platform standards

What’s on Offer

• 25 days holiday (with option to buy/sell)
• Annual performance-based bonus
• Private healthcare
• Enhanced pension and life insurance
• Flexible working arrangements
• Wellbeing support and lifestyle benefits
• Access to discounts and additional perks

We are looking for a Data Analyst to improve data quality, governance, and availability across the business. You will help create gold datasets, establish lightweight governance, and automate quality checks to support accurate, trusted reporting.

Key Responsibilities

• Inventory and profile existing data sources (apps, databases, files, SaaS).
• Design and implement data cleansing and standardisation pipelines.
• Maintain data dictionaries, lineage diagrams, and semantic layers.
• Establish pragmatic governance: data ownership, KPIs, thresholds, and access controls.
• Implement automated data quality checks, dashboards, and root-cause remediation.
• Ensure trust, consistency, and timeliness of critical business datasets.

Success Measures

• Governance charter agreed with stakeholders and data owners appointed.
• Cleansing pipelines operational with automated checks for key datasets.
• Gold datasets live for priority business use cases.
• Data quality metrics: 98% validity, 99% referential integrity, duplicates* 90% of reporting sourced from curated datasets; issues resolved at source.

Key Traits

• Quality-focused and data-driven; fixes at the source.
• Pragmatic, enforceable governance mindset.
• Analytical with strong problem-solving skills.
• Clear communicator bridging business and technical teams.
• Ownership-driven and system-aware.

Skills & Experience

• 2+ years in data analysis/engineering, hands-on profiling, cleansing, and modelling.
• Experience building repeatable data pipelines in cloud/data warehouse platforms (e.g., Azure/Synapse/Fabric, Snowflake, BigQuery, Redshift).
• Proficient with data prep and QA automation; strong understanding of master/reference data practices.
• Knowledge of access controls, PII handling, retention, and audit requirements.

Preferred: Governance framework experience, streaming ingestion/schema evolution, ML-assisted entity resolution, retail/wholesale domain knowledge, familiarity with BI tools (Power BI, Looker, Tableau).

Interested? Please Click Apply Now! Data Analyst

Senior Platform Engineer (Azure)
Manchester or London (Hybrid)
£90,% Bonus Excellent Benefits

Build the Platform That Powers DataWe’re hiring a Senior Data Platform Engineer to help design and operate a secure, scalable enterprise data platform supporting advanced analytics and business intelligence.

Important: This is fundamentally a Platform Engineering role.

You’ll focus on infrastructure, automation, and platform reliability, rather than building data pipelines.

We do welcome candidates from data engineering backgrounds-provided you bring strong platform engineering experience, particularly with Infrastructure as Code (e.g. Terraform), CI/CD, and cloud platform design.

What You’ll Be Doing

• Designing and delivering robust, automated Azure & Snowflake platform components
• Building and maintaining Infrastructure as Code (Terraform) across environments
• Creating and optimising CI/CD pipelines (Azure DevOps, GitHub Actions)
• Implementing observability practices (logging, monitoring, alerting)
• Ensuring platform security, scalability, and performance
• Collaborating with architects and senior engineers on platform standards
• Mentoring engineers and promoting engineering best practices

What We’re Looking For

• Strong experience in Platform Engineering (not just data pipeline development)
• Expertise in Azure-based environments and/or Snowflake
• Hands-on experience with Terraform or similar IaC tooling
• Proven ability to build and manage CI/CD pipelines
• Solid understanding of cloud security and observability
• Scripting skills (PowerShell, Bash, Python)
• Strong communicator with experience working across teams

Ideal Backgrounds

• Platform Engineers working in data environments
• DevOps/Platform Engineers with exposure to data platforms
• Data Engineers who have moved into platform, IaC, or DevOps-focused roles

Why Join?

• £90,% bonus
• Hybrid working (Manchester or London)
• High-impact role in a mission-driven setting
• Opportunity to shape and influence a modern data platform
• Strong engineering culture with a focus on automation and best practice

Key Responsibilities

Programme Delivery

• Lead delivery across multiple workstreams including platform, data ingestion, modelling, and reporting
• Manage an outsourced delivery partner across scope, timelines, budget, and quality
• Track KPIs, milestones, and governance forums (e.g. SteerCo, Design Authority)
• Proactively manage risks, issues, and interdependencies

Data Architecture

• Define, implement, and govern the target data architecture (platforms, data models, integrations)
• Ensure alignment with enterprise architecture and strategic objectives
• Review and challenge vendor designs to ensure quality and scalability
• Drive best practices across:
  • Data modelling
  • Data pipelines
  • Storage (lakehouse/warehouse)
  • Metadata, lineage, and data quality

Operating Model

• Align with and enhance data governance frameworks, ownership, and stewardship
• Establish sustainable operating models and run-state processes
• Support data lifecycle management and continuous improvement

Stakeholder Management

• Act as the primary interface between client leadership and delivery partners
• Engage with business functions including Underwriting, Claims, and Finance
• Translate complex business requirements into effective data solutions
• Provide clear, concise updates to senior stakeholders

Vendor Management

• Hold vendors accountable for delivery performance and outcomes
• Assess capability, resourcing, and collaboration effectiveness
• Drive continuous improvement in delivery and partnership

Business Outcomes

• Deliver measurable value including:
  • Enhanced underwriting insights
  • Improved reporting and regulatory compliance
  • Reduction in manual processes
• Track business case progress and benefits realisation

Skills & Experience

Essential

• 15+ years’ experience in data and analytics, including leadership roles
• Strong expertise in data architecture and large-scale platform delivery
• Proven experience managing third-party vendors
• Experience within London Market or specialty insurance
• Deep knowledge of modern data platforms (e.g. Azure, AWS, Snowflake, Databricks)
• Strong understanding of data modelling, integration, governance, and data quality
• Demonstrated programme delivery and governance experience

Desirable

• Experience with underwriting, claims, or delegated authority data
• Knowledge of insurance regulatory and reporting requirements

We are seeking a motivated Data Engineer for an excellent client in Basingstoke. You will be responsible for the maintenance and growth of the Data Warehouse and Data Pipelines. You will work closely with the Senior Data Engineer, Data Analysts, and Finance Team to integrate new data sources, model processes, deliver enhancements, and expand functionality.

This is a hybrid role with the expectation to be on-site 3 days per week.

Skills required:

• Strong SQL skills (PostgreSQL or Snowflake preferred)

• Experience modelling business processes using SQL

• Familiarity with Git/version control

• Understanding of Cloud Data Warehouse concepts

• Knowledge of SOAP/REST APIs, JSON, YAML

• Basic Python for API data retrieval and ETL tasks

• Logical problem-solving skills

• Ability to work independently and collaboratively

• Experience with dbt, Snowflake, Fivetran, AWS S3/Lambda, or CI/CD pipelines

• Attention to detail and desire to learn

This is an excellent opportunity to grow your data engineering skills while contributing to a dynamic team. If you feel you have the skills and experience required, please contact (url removed)

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone’s chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

Job Title: Senior Data Engineer Location: Warwick (Hybrid Working) Contract: 6 Months

Role Overview

Our client is seeking a skilled Senior Data Engineer to lead the design, development, and maintenance of data integration solutions and data warehouse environments. This role will focus on building and optimising ETL/ELT pipelines, supporting data warehousing initiatives, and ensuring the quality, performance, and reliability of large-scale data systems. The successful candidate will collaborate closely with data architects, analysts, and developers to drive data integration and analytics across the organisation.

Key Responsibilities

• Lead the design, development, and maintenance of large-scale data systems, including data warehouses, data lakes, and pipelines.
• Design, develop, and maintain ETL/ELT processes utilising tools such as Matillion.
• Create and maintain optimal data flows and data pipeline architectures.
• Develop and manage data warehouse objects, including tables, views, and security roles in Snowflake.
• Extract data from diverse sources, including databases, flat files, and APIs.
• Transform and cleanse data to ensure quality and integrity.
• Load data into the data warehouse while ensuring consistency and accuracy.
• optimise ETL processes for performance, scalability, and reliability.
• Implement data validation, quality checks, and security measures.
• Troubleshoot and resolve data issues, performance bottlenecks, and ETL failures.
• Implement best practises for data warehousing, data modelling, and ETL development.
• Document ETL processes, data mappings, and configurations.
• Collaborate closely with data architects, analysts, and developers to support data integration initiatives.

Requirements

• Experience with relational databases, ETL/ELT, and data warehousing.
• Expertise in ETL/ELT tools such as Informatica, ODI, Matillion, or SSIS.
• Experience with cloud-based data platforms like Snowflake.
• Proven experience in designing and developing complex near real-time and/or batch data integration solutions.
• Familiarity with both traditional and non-traditional analytical data design methodologies (e.g., Kimball, Inmon).
• Strong SQL programming skills and a solid understanding of relational database concepts.
• Experience in loading and maintaining enterprise data warehouse environments.

Nice to Have

• Experience working with finance data or within financial services environments.
• Familiarity with SAP systems and databases.
• Knowledge of data visualisation tools such as Power BI or Tableau.

If you’re passionate about data engineering and meet the above criteria, we would love to hear from you. Join our client and play a pivotal role in enhancing their data infrastructure and analytics capabilities. Apply today!

Please be advised: if you haven’t heard from us within 48 hours, then unfortunately your application has not been successful on this occasion. We may, however, keep your details on file for any suitable future vacancies and contact you accordingly.

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Data Architect - 70-90K base (DOE) - West London (hybrid)

We are recruiting a Data Architect for one of our clients based in West London on a permanent basis. The Data Architect is responsible for leading the definition, standardization, and governance of data architecture across platforms and products. This role balances technical leadership, data architecture, and collaboration with engineering, product, and security teams to ensure scalable, reliable, and secure systems.

Key responsibilities:

• Enforce data architectural guidelines and consistency across development teams and services
• Support established Data Governance and Data Quality frameworks, including tooling, policy enforcement, and stewardship models
• Ensure robust metadata management, lineage tracking, and data cataloguing using business glossaries and modern catalog tools
• Review and approve data architecture for major features, platforms, and technical initiatives
• Collaborate with technical leads and DevOps on system scalability, performance, and reliability
• Ensure data platforms are AI/ML-ready, with scalable infrastructure and clean, well-structured data pipelines
• Collaborate with data science and analytics teams to enable model deployment, automation, and MLOps best practices
• Promote innovation in generative AI, predictive analytics, and real-time decision support
• Align data architecture with security, compliance, and data governance requirements
• Lead the evolution of technical architecture documentation, models, and decision records
• Conduct architecture and design reviews with cross-functional teams
• Guide teams in the adoption of best practices in API design, modularity, cloud-native patterns, and event-driven systems
• Recommend data management best practices, covering data flows, architecture patterns, retention, archival, and purging strategies
• Coach and mentor engineers on data design, refactoring, and architectural reasoning

Essential skills and experience:

• Proven experience designing and scaling enterprise-grade cloud data platforms (AWS preferred)
• Deep experience with AWS, Databricks, Power Platform, and Redshift (Snowflake a plus)
• Proficiency in AWS Glue, Qlik Talend, DBT, Airflow, and modern data integration tools.
• Excellent knowledge of Python, SQL, PowerQuery (M), and preferably Scala or PySpark
• Working knowledge with enterprise architecture frameworks (e.g., TOGAF), MLOps, and BI tools like Power BI and QuickSight
• Experience of generative AI platforms (e.g., Amazon Bedrock, Anthropic)
• Familiarity with infrastructure as code (Terraform), CI/CD practices (Jenkins, GitHub Actions), and observability (Grafana, Kibana)
• Proficiency in scripting and automation using Bash, Groovy, or equivalent
• Ability to balance long-term architectural vision with immediate delivery constraints

Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this permanent job, you accept our Data Protection Policy which can be found on our website.

Please note that no terminology in this advert is intended to discriminate on the grounds of a person’s gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job.

Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.

The advertised salary range is dependent on experience and the required qualifications.

Damia Group 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 our Data Protection Policy which can be found on our website.

Please note that no terminology in this advert is intended to discriminate on the grounds of a person’s gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job.

Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.