Farringdon hybrid working available

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

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

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

Location: Hybrid 2 days a week at our Farringdon office

What youll do

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

What you’ll need

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

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

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

About us

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

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

What’s in it for you

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

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

Remote UKSalary up to £55,000
Love data? Obsessed with getting the details right?
I am currently recruiting for a fast-growing global geospatial data company helping some of the worlds biggest tech organisations see the world differently
As we continue to grow, were looking for a Data Quality Manager who thrives on turning messy, complex datasets into reliable, high-quality information that teams can trust.
The RoleThis is a chance to play a key role in shaping the quality of the data that powers our products and supports decision-making across the business.You will lead the way in defining what great data quality looks like, embedding strong governance practices and collaborating with teams across the organisation to make sure our data is accurate, consistent and ready for action. You will also work alongside major international tech companies while helping drive improvements to our data products during an exciting period of growth.
What Youll Be Doing

• Leading the management and improvement of geospatial data quality
• Defining data quality objectives within the broader data governance strategy
• Working collaboratively with data owners to embed new data quality practices
• Establishing and monitoring data quality standards across our information assets
• Evaluating and implementing tools and frameworks for data quality management
• Sharing insights and recommendations with product and development teams to support agile improvements

What Youll Bring

• Strong experience with data quality tools or frameworks (e.g. Collibra, DAMA-DMBOK)
• A solid understanding of data governance
• Knowledge of regulatory environments (especially Government, Infrastructure or Utilities)
• Excellent analytical and problem-solving skills
• Clear communication skills you can translate technical topics for any audience
• Strong organisation, prioritisation and delivery focus

Bonus Points If You Have

• Experience sourcing and maintaining data assets
• Wider data management experience
• A talent for making technical topics easy to understand
• An interest or passion for the geospatial industry

What Youll GetWe believe great work deserves great perks:

• 33 days holiday to recharge
• Flexible working hours to suit your day
• Your birthday off always ??
• Health cash plan fully paid for
• Family-friendly benefits
• Regular social events, team shindigs and celebrations

Most importantly, youll be joining a friendly, collaborative and genuinely supportive team that loves solving interesting problems together.
Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.

Principal Architect – Data Platforms / Data Lakes / Cloud / Python – 12 Month Contract – £700 p/d Inside IR35 – London

A global digital media organisation are looking for a Principal Architect to join their Data Foundation & Product Analytics team on an initial 12-month contract. This role sits at the forefront of enterprise data strategy, engineering, and platform governance — and will be instrumental in shaping the next generation of data infrastructure within the business. This is a hybrid role (London-based) with flexibility in a fast-paced, multi-cloud, multiplatform environment.

You will partner with the Enterprise Data Lake and Governance teams, architecting robust data pipelines and platforms across cloud and on-prem ecosystems, whilst establishing and enforcing standards for data modelling, ensuring consistency in data quality.

Key Responsibilities:

Architect and lead the development of large-scale, secure, and resilient data lakes and pipelines using Data Lakes and Data Mesh concepts.

Extensive experience using Python, SQL and AWS

Define and enforce data architecture across mesh and domain-driven data products.

Implement and govern real-time/batch processing (Kafka, Spark, Glue).

Ensure strong metadata, cataloguing, and lineage practices across the enterprise.

Lead teams of engineers across global hubs, mentoring and supporting high standards.

Knowledge on data governance & security practices such as IAM, RBAC, Collibra, OpenMetadata, GDPR compliance

TPBN1_UKTJ

Location - Erskine, Newcastle, Farnborough or London

Candidates are required to be eligible for clearance

What Youll Do

• Design Ontologies: Develop and maintain ontologies using OWL/RDF to model enterprise data domains and relationships.
• Build Knowledge Graphs: Create and manage enterprise knowledge graphs that unify diverse data sources.
• Semantic Querying: Develop and optimise SPARQL queries for advanced data retrieval and analytics.
• Ensure Data Quality: Implement semantic validation rules (e.g., SHACL, OWL constraints) for data integrity and interoperability.
• Integrate with Enterprise Systems: Embed semantic models into data pipelines, APIs, and enterprise workflows.
• Collaborate with AI Teams: Enable AI agents and LLMs to leverage ontologies and knowledge graphs for context-aware reasoning.
• Adopt Best Practices: Stay current with semantic web standards and contribute to internal guidelines for semantic data management.

What Were Looking For

• Education: Bachelors degree in Computer Science, Information Science, or related field.
• Semantic Web Expertise: Hands-on experience with OWL, RDF, and SPARQL.
• Knowledge Graph Experience: Practical experience with graph databases (Neo4j, GraphDB, Apache Jena, etc.).
• Data Modelling & Integration: Strong understanding of data architecture and integration techniques.
• Programming Skills: Proficiency in Python, Java, or similar for semantic data processes.
• Analytical Skills: Ability to troubleshoot ontology logic and query performance.

Desired Experience

• Familiarity with metadata standards (Dublin Core, schema.org).
• Experience integrating semantic technologies with AI/LLM workflows.
• Proven track record of embedding semantic layers into enterprise systems.
• Hands-on with tools like Protégé, semantic reasoners, or cloud-based graph services (AWS Neptune, Azure Cosmos DB).

Why DXC Technology?
At DXC Technology, we help global enterprises run mission-critical systems and operations while modernising IT and driving innovation. Join us to work on impactful projects that shape the future of enterprise data and intelligent systems.

We are Data Services, our mission is to unlock the value of data by delivering high-quality, reliable, and secure data services that are accessible, understandable, and actionable. We continuously evolve our offerings, leveraging modern cloud-based technologies, and fostering strong partnerships to help our colleagues in the Bank navigate the complexities of a data-driven world and achieve their strategic objectives.

Active SC Clearance

Job Description:

The world of data in Central Banking is evolving rapidly. With the rise of detailed data collection in financial regulation and the swift advancements in cloud-native data technologies, the demand for visionary data engineers is growing. Were seeking a senior Data Engineer to join our Data Engineering team and play a pivotal role in shaping the Banks strategic cloud-first data platform.

As a senior member of the team, you will play a key role in designing and delivering robust, scalable data solutions that support the Banks core responsibilities around monetary policy, financial stability, and regulatory supervision. Youll contribute to technical design decisions, mentor engineers, and collaborate across teams to ensure our data infrastructure continues to evolve and meet future demands.

Role Responsibilities

• Lead the design, development, and deployment of scalable, secure, and cost-effective distributed data solutions 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.
• Mentor and coach junior and mid-level engineers, fostering a culture of continuous learning, innovation, and technical excellence.
• Collaborate with architects, analysts, and stake holders to align data engineering efforts with strategic business goals and enterprise data strategy.
• Evaluate and introduce emerging technologies, tools, and methodologies to enhance the Banks data capabilities.
• 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.

Minimum Criteria

• 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.

Essential Criteria

• 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.

Desirable Criteria

• Experience delivering data pipelines on Hortonworks/Cloudera on-prem and leading cloud migration initiatives.
• Familiarity with: Apache Airflow
• Data modelling and metadata management
• Experience influencing enterprise data strategy and contributing to architectural governance.

Changed this now. I was confusing this with PDE role as I am working on that in parallel. Hope this makes sense now.

data solutions rather than architectures?

Should add Python here as a key tech we use

Have mentioned Python in ‘Minimum Criteria’ section below, but will add here too

this could be added to Essential Criteria ?

stakeholder and project management ?

Have updated #1 in essential criteria below. But I have now used the previous version to create requisition in OBS. Will see if it can be changed.

What is the difference between “minimum” and “essential” criteria. Both imply that they are mandatory and so could be one list?

This is a bit confusing. I used to have just one, but this is the standard format of JD that the Bank wants us to follow. Here is the difference:

Min Criteria:

This must list the minimum technical skills/experience/qualifications required to do the job and should be measurable/scoreable. The screening questions you select must link to these, in order to allow candidates to best demonstrate their suitability for the role.

Essential:

This lists other important technical skills/experience/qualifications, and also more behavioural competencies. These are ones that are better assessed at interview rather than on screening questions on the application form

Ok, I think we could go back and ask HR about this as it does seem confusing and to me doesn’t give a good impression of the Bank to applicants at it looks like 2 lists for the same thing.

I had checked this earlier, but seems they want us to follow this format. When I advertised last time, I just mentioned Minimum Criteria, but they said it has to be split into Minimum and Essential.

Don’t think we need to mention Atlas or Cloudera Manager as we hardly ever use those. Airflow could be useful so would leave that in.

Your new company

An established and fast-growing technology organisation is on a mission to transform digital connectivity across the UK. With a focus on building and operating high-speed fibre networks, the business is committed to delivering world-class broadband services to communities and supporting a data-driven future. You’ll be joining a forward-thinking environment that values innovation, collaboration, and continuous improvement.

Your new role

As a Senior Data Engineer, you will play a pivotal role in shaping and enhancing the organisation’s enterprise data platform. Working within a specialist Data Analytics & AI team, you’ll be responsible for designing, building, and maintaining scalable data pipelines and models within Snowflake to support analytics, reporting, and data-led decision-making across the business.You will translate data architecture strategies into high-quality technical solutions, optimise performance and cost, and ensure the data platform is reliable, secure, and well-structured. This includes developing ELT/ETL pipelines using tools such as dbt and Argo Workflows, implementing data quality and governance practices, and leveraging advanced Snowflake features to drive automation and efficiency.Collaboration is key-you’ll work closely with analysts, data consumers, and business stakeholders, enabling them through well-designed data models and providing technical support where needed. You’ll also contribute to monitoring, CI/CD processes, and ongoing improvements to engineering standards across the team.

What you’ll need to succeed

• Proven experience delivering cloud-based data engineering solutions, ideally centred around Snowflake
• Strong skills in SQL, Python, and dbt for data modelling and transformation
• Experience with Snowflake RBAC and performance optimisation
• Familiarity with ingestion/replication tools such as Airbyte, Fivetran, Hevo, or similar
• Understanding of cloud technologies (AWS preferred)
• Knowledge of data modelling, governance principles, and best-practice engineering standards
• Experience supporting BI/reporting tools such as Power BI
• Solid grounding in version-controlled development and CI/CD practices (git)

Desirable:

• Exposure to enterprise systems like Salesforce, BSS/OSS, telephony, or call-centre data
• Experience in data platform migrations, data validation, and quality assurance
• Background in enabling business teams through training, documentation, or adoption support
• Familiarity with Terraform or Infrastructure-as-Code
• A mindset for continuous learning and staying up to date with modern data stack tooling

What you need to do now

If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now.
If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found at hays.co.uk

Head of Data required to lead and evolve enterprise-wide data platforms within a global organisation in Glasgow. This is a senior role responsible for building scalable platforms, maintaining high standards of data governance and quality, leading a high-performing team, and shaping the organisation’s long-term data strategy.

The Organisation

This is a large, global organisation where data underpins critical business functions. Over the past five years, the organisation has been developing its data capabilities and recently launched its first enterprise data platform. The next phase is to replicate these platforms across multiple business domains while enhancing governance, reliability, and value from the data estate.

The firm continues to invest in cloud-based platforms, analytics, and AI, with a focus on secure, scalable, and high-quality data solutions. Senior technology leaders are trusted to guide strategy as well as deliver results operationally.

The Role

You will take end-to-end ownership of the enterprise data platforms, ensuring they are robust, reliable, and scalable, while driving improvements in data quality and governance. You’ll manage a team of data engineers and act as the central coordinator across data architects, governance, and reporting teams, ensuring alignment and successful delivery across the business.

In addition, you will contribute to developing and executing the firm’s data strategy, supporting innovation and longer-term ambitions including AI and advanced analytics initiatives.

What You’ll Be Doing

** Leading the design, implementation, and optimisation of enterprise data platforms
** Ensuring data governance, master data management, and quality standards are embedded across all platforms
** Managing, mentoring, and developing a team of data engineers, while coordinating cross-functional teams of architects, governance, and reporting specialists
** Building and maintaining scalable, reliable, and reusable data pipelines across multiple sources
** Collaborating with senior stakeholders to translate business priorities into actionable data initiatives
** Driving the adoption of cloud services, analytics, and AI to enhance the data estate
** Managing vendors and third-party partners to ensure delivery, performance, and value

What They’re Looking For

** Proven experience leading enterprise data platform initiatives
** Strong technical expertise in data engineering, data management, and cloud platforms (e.g., Azure, MS Fabric, Databricks)
** Track record of delivering complex, high-value data solutions with strong governance and quality controls
** Experienced people leader capable of managing teams and coordinating cross-functional stakeholders
** Skilled at shaping and delivering data strategy, with a vision for AI and advanced analytics
** Excellent stakeholder management and communication skills at senior and executive levels
** Understanding of business functions such as finance, HR, compliance, and operational processes

The Offer

A competitive salary and benefits package is on offer, alongside hybrid working (typically 2-3 days per week in their city centre office).

This is a senior, high-profile leadership role with the opportunity to shape the enterprise data landscape, build a high-performing team, and drive strategic innovation across the organisation.

If this sounds of interest, please apply or reach out to Murray Simpson.

Cathcart Technology is acting as an Employment Agency in relation to this vacancy.

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)

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

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

Location: Hybrid Shropshire or Sussex
Salary: Competitive salary plus benefits

We are currently supporting a leading technology business that delivers large-scale data solutions across complex and highly secure environments. Due to ongoing project growth, they are seeking to appoint a Data Engineer to join their expanding data engineering team.

This role will focus on designing and delivering robust data integration solutions, building scalable pipelines, and collaborating closely with client stakeholders to support data-driven decision-making across critical systems.

The Role

As a Data Engineer, you will be responsible for building and maintaining data pipelines and integration solutions within enterprise environments. The role covers the full delivery lifecycle, from gathering requirements through to deployment and operational support.

Key Responsibilities:

• Design and implement robust data integration solutions (batch and near real-time)
• Build and maintain scalable data pipelines for ingestion, transformation, and curation
• Work with large and complex datasets across enterprise platforms
• Collaborate with product teams and client stakeholders to translate requirements into technical solutions
• Support live systems, troubleshoot issues, and ensure service continuity
• Work within Agile delivery teams alongside engineers, analysts, and business stakeholders
• Contribute to best practises and continuous improvement across the data engineering capability

Experience Required

We are looking for engineers with strong fundamentals in data engineering and proven experience delivering solutions within complex environments.

Essential Skills and Experience:

• Strong SQL and data modelling skills
• Experience with ETL/ELT tools such as Informatica, Talend, Pentaho, AWS Glue, or similar
• Familiarity with data platforms such as Oracle, Cloudera, or enterprise data warehouses
• Proficiency in programming or scripting languages such as Python or Bash
• Designing and maintaining data pipelines and integration processes
• Experience working within Agile delivery environments

Desirable Experience:

• Experience with cloud platforms such as AWS
• Familiarity with job scheduling or orchestration tools (e.g. Airflow or similar)
• Knowledge of reporting and visualisation tools such as Power BI, Business Objects, or Pentaho
• Experience with CI/CD and version control tooling

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

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

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

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

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

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

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

Data Architect Hybrid RCT (South Wales)

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

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

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

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

Essential Skills

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

Desirable skills

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

Key Responsibilities (at a glance):

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

What you ll get in return (at a glance)

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

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

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

I am searching for a talented Database Developer / SQL Developer to join our client on a full-time and permanent basis.

The role requires you in the office 2-days per week so you will need to live within a commutable distance of Exeter to be considered for the role or you will be in a position to relocate to the area.

As a Database Developer / SQL Developer you will design, develop and test high-quality database applications that support both internal systems and external business solutions.

You will be responsible for improving processes, solving complex problems whilst working collaboratively and supporting other team members.

Working in an agile environment, you will follow SCRUM and SOLID principles - you will take part in testing, including TDD, design reviews, code walkthroughs and inspections, and you will contribute to continuous improvement.

You will work with internal and external customers to capture requirements, and you will be communicating technical concepts to non-technical audiences.

You will be supporting a 24/7 production environment ensuring systems continue to meet the needs of new and existing platforms.

Additionally, you will:

• Mentor colleagues in database design and coding.

• Utilise AI agentic tools within software development to enhance productivity and efficiency

About You

To be a success in this role you will need experience in the following key areas: -

• Relational database analysis and design experience
• Experience with performance tuning
• Data experience, including warehousing analytics and visualisation platform development e.g. Power BI/Tableau
• Evidence of high-level participation in database-orientated commercial projects
• Proficient T-SQL development skills in Microsoft SQL Server from version 2016
• Proficient in SSIS, SSRS and SSAS Development
• Experience in using agentic AI environments i.e. Cline, Copilot or Gemini (or similar)
• Effective communication skills, both verbal and written, both external and internal, for example, during agile ceremonies, writing updates for internal and external users

I am looking to speak with good communicators who like to work collaboratively with a diverse range of technical experts within a highly effective technology team.

The role comes with a competitive salary and an outstanding benefits package which includes an enhanced pension, medical and healthcare, a bonus, good holiday allowance and much, much more!

Please note, to be considered for this role you will MUST have the Right to Work in the UK long-term without company sponsorship. Our customer is not able to sponsor candidates for this opportunity.

Please note that due to a high level of applications, we can only respond to applicants whose skills and qualifications are suitable for this position.

No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010.

Bowerford Associates Ltd is acting as an Employment Agency in relation to this vacancy.

Job Title: SC Cleared Data Integration Architect (Primary Care Data)
Location: Hybrid/ 2-3 days near Bath
Duration: 6 months with possible extension
Rate: Up to £704 per day via an approved umbrella company
Must be willing and eligible to go through the SC Clearance process

Our client, a leading organisation in healthcare technology, is hiring for a reputable company to support their mission of modernising healthcare data platforms. We are seeking a skilled Data Integration Architect with strong primary care data domain expertise to lead the design and delivery of scalable, secure, and interoperable data solutions.

What you’ll be doing:

Define end-to-end data integration architectures across primary, community, and secondary care systems.
Design API-led, event-driven, and batch integration patterns supporting clinical, operational, and analytical needs.
Develop logical and physical data flow diagrams, interface specifications, and establish standards and reusable patterns.
Lead integration involving GP systems (appointments, prescribing, demographics), ensuring NHS standards (FHIR, HL7, SNOMED CT, dm+d).
Support population health, quality reporting, and analytics pipelines.
Act as technical authority across multiple projects, guiding implementation and ensuring architectural alignment.
Collaborate with stakeholders to ensure solutions meet clinical safety, security, and governance standards (GDPR, NHS IG, DSPT).
What you’ll bring:

Proven experience as a Data Integration Architect or Lead Integration Engineer, with a focus on primary care systems.
Hands-on expertise with API platforms, message brokers, ETL/ELT pipelines, and FHIR-based integrations.
Strong data modelling skills and experience designing cloud-native data platforms (AWS, Azure, GCP).
Deep understanding of UK primary care data flows, NHS interoperability standards, and patient identity management.
Knowledge of population health and analytics use cases.
Familiarity with healthcare security standards and clinical safety processes.

Desirable skills:

Experience modernising legacy healthcare platforms.
Exposure to population health management or integrated care systems.
Knowledge of Infrastructure as Code, CI/CD pipelines, and agile delivery frameworks.
Certification in TOGAF or similar architecture frameworks.
Join a forward-thinking team committed to transforming healthcare data. Apply now to be part of this impactful journey

Contract
Daily Rate: £500 - £600
Contract Length: 12 months

Worthing - Hybrid working - 2/3 days onsite per week

About Us:
Our client is a leading organisation in the data management space, seeking an experienced Data Migration Project Manager to lead critical migration projects. If you’re a results-driven professional with a passion for data and migration strategies, we want to hear from you!

Key Responsibilities:

1. End-to-End Migration Delivery:

Lead the delivery of QlikView, QlikSense, and SAP BW migrations.
Own the entire migration lifecycle, encompassing discovery, planning, design, building, validation, business acceptance, and decommissioning.
Ensure all migrations align with the strategic Data Platform and Power BI architecture.
Drive phased data product releases to mitigate risks associated with “big bang” migrations.

2. Migration Strategy, Rationalisation & Prioritisation:

Conduct a comprehensive discovery of the existing reporting estate, focusing on usage, dependencies, complexity, and business value.
Facilitate prioritisation based on business criticality, regulatory impact, data quality risk, and platform readiness.
Rationalise duplicate, low-value, or unused reports, preventing the transfer of technical debt into the Data Analytics Platform (DAP).

3. Governance & Stage Gates:

Operate within the agreed project governance model, including Gate Reviews and Project Review Boards.
Maintain RAID logs, financial tracking, dependency management, and milestone reporting.
Manage vendor and tender processes, ensuring transparency in reporting to Programme and Steering Groups.

4. Stakeholder & Business Engagement:

Engage with report owners and business SMEs for requirement validation, UAT coordination, and acceptance sign-off.
Manage change impact and adoption, ensuring clear communication regarding decommission timelines and functionality changes.

5. Vendor & Delivery Management:

Manage external partners throughout the discovery, design, and delivery phases.
Ensure adherence to technical standards and data governance processes, holding vendors accountable for delivery milestones.

6. Platform & Foundations Alignment:

Collaborate closely with the Data Foundations workstream to ensure DAP readiness and operational governance controls.
Sequence migration waves based on platform maturity and readiness.

7. Financial & Value Management:

Track budgets and forecasts for Qlik and SAP migrations.
Demonstrate measurable value through platform consolidation, reduced duplication, and improved data quality and governance.

Required Experience:

Proven experience in delivering large-scale BI/reporting migrations.
Expertise in migrating from Qlik and/or SAP BW into Azure/Power BI environments.
Strong understanding of Azure Data platforms, Power BI, and data warehouse principles.
Experience leading rationalisation and decommission programmes, and operating within formal governance structures.
Proven track record in managing vendor procurements and delivery partners.

Desirable:

Experience in utilities or regulated industries.
Knowledge of SAP BW data structures and dependencies.
Familiarity with Azure DevOps / Jira for hybrid Agile delivery.
Exposure to data governance, data quality, or catalogue implementations.

How to Apply:
If you’re ready to take on this exciting opportunity, please submit your CV and a brief cover letter outlining your relevant experience. Join us in transforming data management for our clients!

Our client is an equal opportunity employer and encourages applications from all qualified individuals.

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you

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.

Role: Senior SQL Server DBA/Developer

Location: Norwich (onsite)

Salary: Up to 55k DOE

I’m working on behalf of a well-established UK organisation specialising in financial data and technology solutions, seeking an experienced SQL Server Database Administrator to join its internal IT team. The business provides critical financial product data used by major banks, regulators and government bodies across the UK and has been a leader in financial data services for more than 30 years.

Reporting to the Software Development Manager, this role will focus on maintaining and developing database infrastructure, ensuring reliability, security and performance across key systems while supporting new product development.

Key Responsibilities

• Maintain and support existing SQL Server databases and infrastructure
• Develop database modules and software components to meet client requirements
• Design and propose database architecture and infrastructure improvements
• Produce and maintain technical documentation including standards and procedures
• Ensure development best practices including code reviews, testing and standards
• Mentor and support other members of the technical team

Experience & Skills Required

• Strong experience in a SQL Server DBA or similar role
• Proven experience with SQL Server (2014/2017) database development and management
• Solid understanding of database design and query optimisation
• Experience with C# .NET desktop development
• Strong analytical and problem-solving skills
• Excellent attention to detail and ability to work under pressure
• Strong communication skills and ability to work independently or within a team

Desirable Experience

• Knowledge of VB6, VBA or web technologies
• Experience with reporting tools, data warehousing or data mining
• Experience working within Agile development environments
• Exposure to financial services or financial products

Salary & Benefits

• Competitive salary depending on experience
• 25 days holiday + bank holidays (with additional long service entitlement)
• Birthday day off
• Enhanced workplace pension
• Employee Assistance Programme and 24/7 GP access
• Group life insurance
• Ongoing training and development opportunities
• Free onsite parking and electric vehicle charging points
• Locker rooms with showers
• Fully air-conditioned offices
• Staff perks including Monday treats and discounted local bus travel

ERP Systems Administrator

Salary: £40,000 £45,000
Location: Coventry (Hybrid)
Type: Permanent

The Role
We re recruiting an ERP Systems Administrator for a growing organisation that relies heavily on its core business systems.

This is a hands-on role focused on the day-to-day support, configuration, and improvement of the ERP environment, ensuring systems remain stable, reliable and well-supported across the business.

You ll work closely with internal teams to resolve system issues, investigate root causes, and support ongoing improvements to workflows, integrations and reporting across the organisation s systems landscape.

Key Responsibilities
Administration and configuration of the organisation s ERP platform
Managing users, access, workflows and system configuration
Supporting business-critical systems and resolving system issues
Writing and maintaining SQL queries for reporting and troubleshooting
Monitoring and supporting automated integrations and data imports
Investigating recurring issues and performing root cause analysis
Acting as an escalation point for a junior systems administrator
Improving system documentation, controls and support processes

Supporting integrated business systems such as:
ERP platforms
CRM systems (e.g. Salesforce)
Reporting and planning tools

About You
Experience working as a Systems Administrator, ERP Administrator, or Application Support Analyst
Experience supporting ERP or business-critical systems
Strong troubleshooting and problem-solving skills
Experience with SQL, reporting or data queries
Comfortable working in a hands-on systems support environment
Strong communication skills when working with internal users
Experience with ERP platforms such as Unit4, SAP, Dynamics, Oracle, NetSuite or similar would be beneficial.

Why Apply?
Ownership of a business-critical ERP environment
Hybrid working with a Coventry-based team
Exposure to complex integrations and data workflows
Opportunity to help improve systems and service delivery as the team grows

If you’re interested in learning more, please apply or get in touch with SF Technology to discuss the opportunity further.

This is an exciting opportunity for a Data Architect to play a pivotal role in shaping data strategies The Data Architect is responsible for designing, developing, and maintaining the organisation’s data architecture to support business objectives, analytics, and operational systems.

Client Details

We are a global healthcare company committed to Life. The company’s products, technologies, and services are used for the therapy and care of critically and chronically ill patients. With over 41,000 employees and present in over 100 countries, our expansive product portfolio focuses on providing access to high-quality and lifesaving medicines and technologies.

Reporting to the head of IT, the Data Architect will sit within the data & analytics team, this is a hands on role, helping ensure that the data is fit for use by the business.

Description

The successful Data Architect will be responsible for but not limited to:

• Contribute to our data architecture strategies aligned with business objectives.
• Collaborate with stakeholders to understand data requirements and ensure efficient data integration.
• Develop and maintain data models to support analytics and reporting needs.
• Ensure data quality, security, and compliance with industry standards and regulations.
• Optimise data storage and retrieval processes for improved performance.
• Work closely with the analytics team to deliver actionable insights.
• Oversee the migration and consolidation of data systems.
• Provide technical guidance and support to the team on data-related projects.

Profile

The successful Data Architect will be able to demonstrate:

• Strong exposure to cloud Azure cloud platform and data visualisation platforms (Power BI)
• Knowledge of Azure Data Factory or similar tools
• Proficient with implementing Medallion Architecture.
• Excellent problem-solving and analytical skills.
• The ability to work collaboratively with cross-functional teams.

Job Offer

This is a great opportunity for a Data Architect / Senior Data Engineer looking to take the next step in their career. We are based in Runcorn and easily commutable from the surrounding area however we also offer flexible / hybrid working. In addition to these great benefits, we also offer:

• Competitive salary ranging from 80,000 - 85,000
• Discretionary bonus 5k per annum.
• Opportunities for professional growth and development.
• Supportive and structured work environment in Runcorn.
• Comprehensive benefits package (details to be confirmed).

This is a fantastic opportunity for a Data Architect / Senior Data Engineer looking for the next step in their career. If this sounds like the role for you, apply now.

Business Systems Consultant (NetSuite & Monday)Derbyshire Hybridc£75,000 Fixed Term Contract for 6 months3 days a week - Part time

Elevation Recruitment Group are working with a growing, tech-forward business on an exciting fixed-term engagement to support the optimisation and rollout of two core platforms Oracle NetSuite and Monday.

This is a hands-on consultancy role sitting at the intersection of IT and business operations, working closely with Finance, Sales, Operations and Account Management to make sure these systems are configured, stable, and embedded for the long term.

The Business Systems Consultant will be brought in at a critical phase of the implementation programme to:

• Administer and optimise NetSuite across modules including SA, GL, AR, AP, FAM, CRM, WMS, Projects and more
• Conduct structured process reviews with business teams and translate requirements into system design and configuration
• Build and maintain dashboards, saved searches, and reports that drive genuine business insight
• Support ETL activities and oversee integrations with internal and third-party platforms
• Deliver targeted training and documentation to upskill internal teams for long-term ownership
• Act as escalation point for complex system queries throughout the implementation waves

Key Skills & Experience required:

• Minimum 3 years’ hands-on Oracle NetSuite experience
• NetSuite Administration Certification preferred
• Solid grounding in SQL, JSON, REST APIs, ETL processes and relational databases
• Experience in business systems analysis and process improvement
• Someone who can work at pace across multiple workstreams while keeping internal stakeholders aligned
• Degree in Computer Science or related discipline

This is a fantastic opportunity to join a collaborative, cross-functional environment with genuine scope to shape how systems are run.

If you’re interested in hearing more, apply today or get in touch with Emma Noble at Elevation Recruitment Group for further information.