30 jobs found

Technical Data Lead Central London Up to 150,000+ Benefits My client is seeking a Technical Data Lead to spearhead the architecture, implementation, and evolution of a modern data platform for a leading insurance firm in London. This role requires a strong technical background in integration and data architectures, as well as leadership experience managing both technical teams and client relationships. Key Skills & Experience: Proven experience as a Platform Technical Lead, Data Architect, or similar role, leading enterprise data platforms at scale. Strong technical expertise in Azure, AWS, Snowflake, Databricks, Data Lakes, and Kafka. Deep understanding of modern data platform architectures, including Lakehouse, Kappa, and Lambda. Experience designing and managing secure, scalable, and governed data platforms. Strong knowledge of Data Governance frameworks, access control, and compliance in enterprise environments. Experience with end-to-end data integration patterns and enterprise-grade data modeling. Knowledge of Data Fabric and Data Mesh concepts, with practical experience in their implementation. Strong understanding of Software Development Lifecycle (SDLC) principles in a data platform context. Expertise in observability, monitoring, and security for data platforms. Strong experience in DevOps, automation, CI/CD, and Infrastructure-as-Code (IaC). Proven track record of leading large technical teams and driving complex data platform initiatives. Excellent stakeholder management skills, with the ability to translate technical solutions into business value. Ideal Candidate Profile: 10+ years in data with experience in a senior architecture or technical leadership role. Strong, practical experience with modern software engineering and DevOps Exceptional communication and senior stakeholder management skills. Industry experience in the Financial Services or Insurance sector is essential A strong leader who inspires excellence and innovation within the team. Ideally experience working at a Consultancy. To be considered please send your cv to Peter Bibby on the email address below

Role: Data Engineer (DBT lean) - Permanent hires consideredSalary: £45,000 - up to £69,000 (dependant on experience) - Consultant or Senior experience considered. For our Team lead requirements at Principal Consultant please see our job page and apply for the Data Engineering Lead role: ? Location: ALL locations considered: We have offices in Liverpool or Newbury office UK for Hybrid working and Sibenik (Croatia)Let us introduce ourselves We're Intuita, a new kind of data partner. We're a collective of data-driven people ready to cut through complexity to solve business problems in a human-centric and sustainable way. We provide pragmatic end-to-end services, products and technologies combined with straight-talking strategic direction to unlock the true value of data and drive transformational change. The roleWe are looking for a Data Engineer ideally on a permanent contract basis, to join our talented Data Engineering team. In this key role, you will work closely with our Engineering team in support of the development of our high-performing team, applying your engineering expertise to drive business growth and support consultancy-driven projects. This position calls for a strong combination of hands-on technical excellence and exceptional consultative skills to steer our teams toward achieving both quality and strategic objectives. Key Responsibilities: Technical Project Ownership: Responsible for the technical direction and execution within your remits and experience against critical business transformations, ensuring both sustainability and quality. Working closely with Business Analysts to ensure the technical solution meets 100% of the business needs. Client Engagement: Act as the technical liaison between the engineering teams and clients, ensuring client satisfaction through well thought out solutions with longevity in mind. Quality Assurance & Best Practice: Establish and enforce data engineering standards, best practice, reusable frameworks. Quality assurance management through data engineering pipelines, ensuring both quality and performance of solutions. Continuous Improvement: Stay up to date with the latest developments in technology changes within respective field/and or specialism, and proactively engage with wider engineering team on learning opportunities. On-Site Engagement: Periodically visit client sites to foster and strengthen relationships, ensuring our commitment to partnership and collaborative success is clearly demonstrated. A bit about youBeing a consultant at Intuita means something a little different to being a consultant elsewhere, we like to hire driven characters who share our passion and approach, bringing their style and flare. We see ourselves as trusted partners to our clients and believe in transparency, quality and integrity above all else, always pushing the boundaries to deliver the best outcomes for our clients. We also really value collaboration and teamwork, making sure we work together to solve problems and share learnings as a team.As a key role within our Data Engineering discipline, you'll share these values but also bring your own personality and approach to the role. We're looking for someone with the following experience and qualities, but if you don't fit these exactly and are interested in working for us, get in touch anyway - we hire people, not job specs.Hands-on experience in a business transformation setting, either at enterprise level or in large-scale delivery.Proven experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologiesAnalytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial, with deep DBT experience being highly beneficialDepth of knowledge and understanding across core orchestration tools and CI/CD pipelines to enhance development efficiency and deployment effectiveness, including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs.Experience with infrastructure as code, proficiency using tools such as Terraform to automate and manage cloud infrastructure, ensuring both consistency and scalability across environments Certifications in relevant technologies and methodologies, such as certified solutions architect or data engineer credentials from Microsoft Azure, GCP, AWS or Databricks. Ability to be a key team member of a diverse team of data engineers, fostering an environment that promotes professional growth and high performance through shared ideas and mentorship.Experience working withing an Agile delivery team and effectively collaborating with cross functional teamsNice to Have: Prior experience in a consultancy setting, demonstrating the ability to navigate the unique challenges and dynamics of consulting with various clients and industries. Knowledge or specialisation in specific industries such as financial services, telecoms, ecommerce or retail, which can help tailor data solutions more effectively to client needs. Experience in building PowerBI semantic models for downstream visualisation consumption Knowledge and or experience in data management tools such as Azure Purview or Collibra, with exposure to data cataloguing, lineage, and data quality standards.If you require any support with your application, please contact

Base Location: Reading / Havant / Perth Salary: 600 per day Working Pattern: 40 hours per week / Full time Embark on a transformative career journey with SSE energy company, where innovation meets impact in the heart of the IT sector. As a pivotal player in our forward-thinking team, you'll harness cutting-edge technology to drive change and propel the UK towards its ambitious net-zero targets. Your expertise will not only shape the future of energy but also carve a sustainable world for generations to come. Join us and be at the forefront of the green revolution, where every line of code contributes to a cleaner, brighter future. Key Responsibilities: Provide technical leadership and oversight to the group Data & Analytics platform team. Responsible for ensuring the reliability, security and scalability of analytics platform services. Deliver full automation of the deployment of Data & Analytics platform services via Infrastructure as code. Help to set development standards, configure operational support processes and provide technical assurance. Provide support to Data & Analytics platform users and internal development teams interacting with the Data & Analytics platform services. What do you need? Extensive experience of deploying Azure and ideally AWS cloud resources and be fully conversant with agile and DevOps development methodology. Extensive experience in using Terraform to deploy cloud resources as infrastructure as code. Excellent understanding of CI/CD principles and experience with related tools (e.g. Azure DevOps, GitHub Actions). Strong knowledge of scripting languages such as PowerShell, Python and Azure CLI and proven experience with automation runbooks, VM maintenance scripts and SQL. Strong understanding of cloud access control and governance such as RBAC and IAM. Strong knowledge on Cloud Networking (Azure) such as private endpoints, Firewalls, NSGs, NAT gateways and route tables. Good knowledge in Microsoft Entra ID such as managing App registrations, Enterprise Apps, AD groups, managed identities and Privileged Identity Management. Proven experience in IaaS such as virtual machines - both Windows and Linux. Familiarity with server patching and maintenance. Strong understanding of security best practices within Azure and ideally AWS. Experience of configuring cloud data services (preferably Databricks) in Azure and ideally AWS. Excellent communication and collaboration skills, with the ability to work across multiple technical and non-technical teams. What happens now? After submitting your application for the Data and Analytics Senior Development Operations Engineer role, we understand you're eager to hear back. We value your time and interest, and if your application is successful, you will be contacted directly by the team within 2 working days. We appreciate your patience and look forward to the possibility of welcoming you aboard.

Senior Data Engineer, Insurance London/Hybrid To £85K + Bonus and Benefits SQL, ETL, Azure Senior Data Engineer is required to join a forward-thinking data team within a thriving City based insurance group. This role will see you playing a critical role in delivering reliable, scalable and business-focused data solutions. With a strong focus on Microsoft technologies and cloud-based tools, you'll work directly with key business stakeholders, MI teams and technical teams to drive performance and decision-making through data. The ideal candidate here will have a strong background in insurance MI or reporting-experience within an MGA or insurance carrier is essential. Key Responsibilities Deliver data solutions and changes that support evolving business requirements. Build and maintain robust, scalable data pipelines using SQL and ETL best practices. Collaborate with stakeholders to analyse, define and implement solutions to complex data challenges. Proactively assess the impact of changes on the broader data model and ensure integrity is maintained. Work alongside the MI/reporting team to ensure data is accurately reflected in dashboards and reporting tools. Consult with business analysts, system owners and architects to align technical delivery with strategic objectives. Build deep knowledge of internal systems and promote collaboration across teams. Key Skills & Experience: Significant experience with SQL and ETL development. Strong experience with MS SQL Server, T-SQL, Azure Data Factory, Azure Databricks, Python, Data Lake. Strong background in insurance MI or reporting-experience within an MGA or insurance carrier is essential. A sharp analytical mind with the ability to work quickly, efficiently and methodically. Strong communication skills with excellent stakeholder management and influencing skills. Solid understanding of Insurance Operations, Credit Control, and Finance functions. A team player who thrives in an agile, fast-moving, and highly collaborative environment. For a full consultation on this pivotal role, send your CV to ARC IT Recruitment today.

Are you a skilled Data Engineer looking to step into the world of architecture? An exciting opportunity has opened for an experienced Data Engineer to join our national Data & Analytics function at a time of significant technical modernisation. The team is about to embark on a greenfield project to build a futureproof data warehousing platform using Azure Data Factory and Databricks, with a clear focus on scalability, quality, and best practice. Working within a specialist Data Platform & Engineering team, you ll join as the expert within Azure Databricks. You'll help to upskill our teams knowledge of Databricks, get involved in data modelling and ETL pipeline development, integrations, and performance tuning. This is an ever evolving project as the business becomes more and more data driven and your knowledge of Databricks will be pivitol in shaping the architecture. This is an ideal role for a Senior Data Engineer ready to step into an architectural role, or an established architect keen to take ownership of a highly visible and strategic data platform project. What you ll be doing: Leading the design and implementation of a new Databricks-based data warehousing solution Designing and developing data models, ETL pipelines, and data integration processes Monitoring, tuning, and optimising data platforms for reliability and performance Upskilling the wider team in Databricks best practices, including modern architecture patterns Location: Atherstone (Hybrid 3 days office / 2 days remote) Salary: £60 000 to £80 000 depending on experience If you're passionate about shaping modern data platforms and have the technical expertise to make a measurable impact, we d love to hear from you. Apply now as we have interview slots available! Please note: Visa sponsorship is not provided for this role and we are only considering applications of candidates who have permanent residency in the UK. We are an equal opportunity recruitment company. This means we welcome applications from all suitably qualified people regardless of race, sex, disability, religion, sexual orientation or age. We are particularly invested in Neurodiversity inclusion and offer reasonable adjustments in the interview process. Reasonable adjustments are changes that we can make in the interview process if your disability puts you at a disadvantage compared with others who are not disabled. If you would benefit from a reasonable adjustment in your interview process, please call or email one of our recruiters.

Head of Data Science Salary: 110K - 120K + bonus Location: Manchester 2-4 days a month The Opportunity We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head of Data Science, you'll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details. Head of Data Science

Senior Data Architect Location: London (Hybrid - 2 days/week onsite) Salary: Flexible, depending on experience Employment Type: Permanent Overview Our client, is seeking a highly experienced Senior Data Architect to lead the design and evolution of their enterprise data architecture. This is a strategic role focused on building scalable, secure, and future-proof data solutions that support business growth and innovation. The ideal candidate will bring deep expertise in data modelling , Databricks , and Azure-based architecture , with a strong ability to translate complex requirements into robust technical solutions. Key Responsibilities Design and implement conceptual, logical, and physical data models (3NF, Kimball, Data Vault) Architect and optimise data platforms including data lakes , lakehouses , and data warehouses Lead the development of metadata-driven ingestion and transformation pipelines Ensure compliance with GDPR and internal data governance policies Collaborate with engineering and delivery teams to define and align technical direction Oversee the full data lifecycle-from strategy and design through to delivery and maintenance Provide architectural oversight across projects, ensuring consistency and scalability Drive best practices in Master Data Management , data lineage , and cataloguing Influence stakeholders and guide teams through complex solution decisions Skills & Experience Extensive experience in data architecture , modelling , and platform design Strong proficiency with Databricks , Azure Data Factory , Azure SQL , CosmosDB , and Microsoft SQL Server Proven ability to work with both structured and unstructured data Experience designing secure, scalable, and high-performance data solutions Familiarity with agile delivery methodologies (SCRUM, PRINCE2, Lean) Excellent communication skills, with the ability to engage both technical and non-technical stakeholders Strong problem-solving skills and a proactive, improvement-focused mindset The Offer Join a forward-thinking organisation committed to data excellence Work in a flexible hybrid model (2 days/week in central London) Competitive and flexible salary package Opportunity to shape the future of data architecture in a high-impact role

FDM is a global business and technology consultancy seeking a Senior Data Engineer to work for our client within the transport sector. This is initially a 6-month contract with the potential to extend and will be a hybrid role based in Manchester. Our client is looking for an experienced Senior Data Engineer with a strong background in Azure Data Services and Data Fabric to support the design, build, and optimisation of enterprise-grade data solutions. The role requires hands-on expertise in developing advanced data pipelines, architecting data lake structures, aligning governance frameworks, and enabling robust reporting capabilities. The ideal candidate will be someone who can take end-to-end ownership of data engineering initiatives and deliver solutions aligned with enterprise data architecture as well as governance principles. Responsibilities Build complex ETL/ELT pipelines from scratch, integrating multiple data sources while implementing advanced transformations using mapping data flows Optimise performance and manage dependencies, ensuring robust monitoring/debugging of pipelines Architect and implement hierarchical data storage structures with partitioning as well as lifecycle policies Define and apply advanced RBAC as well as ACL-based security models while enabling integration with Synapse, Databricks, and serverless SQL pools for analytics Deliver end-to-end reporting solutions, including data modelling in Power Query and DAX using Power BI to build interactive dashboards and implement row-level security (RLS) Develop reusable, scalable data transformation scripts and pipelines and optimise Spark jobs for large-scale distributed data processing Implement and transfer CI/CD pipelines for data workflows using Azure DevOps while enforcing Git based version control best practices and automating the testing as well as deployment of data engineering solutions Apply Data Fabric principles to ensure seamless integration, discoverability, and governance across diverse data sources while managing as well as optimising reports in the Power BI service Contribute to the enterprise-wide data fabric strategy by maintaining the implementation and adoption of a unified data platform for analytics, AI, and regulatory requirements Requirements Minimum of 5 years' experience as a Senior Data Engineer in Azure cloud environments Strong hands-on skills with ADF, Data Lake, Power BI, and Azure DevOps Demonstrated ability to architect scalable, secure, and governed data platforms Solid understanding of data governance and Data Fabric principles Experience working with data modelling, transformations, and performance optimisation Strong problem-solving skills Solid communication and stakeholder engagement skills Project Management and analytical thinking skills Why join us Career coaching, mentoring and access to upskilling throughout your entire FDM career Assignments with global companies and opportunities to work abroad Opportunity to re-skill and up-skill into new areas, develop non-linear career paths and build a skillset within your field Annual leave and work-place pension About FDM We are a business and technology consultancy and one of the UK's leading employers, recruiting the brightest talent to become the innovators of tomorrow. We have centres across Europe, North America and Asia-Pacific, and a global workforce of over 2,500 Employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer and is listed on the FTSE4Good Index. Diversity and Inclusion FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.

Job Title: Data Engineer Apprentice Location: Crawley, UK Contract: Apprenticeship Are you passionate about data and looking to launch your career in data engineering? This apprenticeship offers the opportunity to gain hands-on experience with leading cloud technologies while being mentored by experienced professionals in a global technology environment. The Role As a Data Engineer Apprentice, you'll play a key role in designing and maintaining data pipelines that make business insights possible. You'll work with a range of Microsoft Azure tools including Data Factory, Databricks, and SQL Server, as well as develop dashboards and KPIs using Power BI. Day-to-day, you'll: Support the design, build, and maintenance of data pipelines. Assist with data ingestion, transformation, and storage in Azure SQL Database and other cloud solutions. Collaborate with senior team members to translate business needs into technical solutions. Document workflows, processes, and best practices. Troubleshoot issues and suggest improvements. Take ownership of your learning journey while contributing to real projects. What We're Looking For We're looking for someone with a genuine interest in data engineering and a proactive approach to learning. Requirements (one of the following): 720+ hours of technology-related work experience (IT, Software, or Engineering), or An A-Level in Computer Science (or equivalent) plus 3+ months in a technical role, or Completion of a Level 3 or 4 Data/Computing/Engineering apprenticeship. Skills & Experience (preferred, but not essential): Experience in a technical IT role. Basic understanding of databases and SQL. Exposure to Python or another programming language. Familiarity with Azure Data Factory, Databricks, or other data tools. Personal qualities: Strong written and verbal communication skills. A collaborative team player with good interpersonal skills. Analytical, detail-oriented, and proactive in problem solving. Adaptable and able to manage multiple tasks in a dynamic environment. Benefits 25 days holiday plus bank holidays. Stakeholder Pension Scheme (auto-enrolled). Private Medical Insurance (optional). Permanent Health Insurance. Life Assurance (4x basic annual salary). Free on-site parking. Standard office hours: 08:30-17:00. This is a fantastic opportunity to kick-start your data engineering career while earning and learning within a supportive and innovative environment. How to Apply If you're eager to develop your skills in data engineering and start a rewarding career, we'd love to hear from you. Apply today!

Platform Engineer - 3 Month Contract Location: Remote (UK-based only) with occasional travel to client and team sites Rate: Competitive day rate A fast-growing data consultancy is seeking a skilled Platform Engineer to support the rollout and maintenance of a federated, multi-service Data & AI platform. This short-term contract offers the opportunity to work on cutting-edge cloud infrastructure projects, with a strong focus on scalability, governance, and cost optimisation. Interview Process: Two stages - an informal introductory chat followed by a technical interview with senior team members. Role Overview: You'll be responsible for designing and implementing secure, scalable cloud infrastructure on Azure, enabling advanced data services and ensuring compliance across environments. The role requires hands-on experience with infrastructure-as-code, CI/CD, and cloud-native security practices. Key Skills & Experience: Terraform for Azure infrastructure automation GitHub Actions and CI/CD pipeline design Azure Private Link and Private Link Service configuration Databricks and Unity Catalog for data governance Azure Policy and compliance enforcement Identity and access management (OAuth, federated credentials) Azure security best practices including BCDR and high availability Cost management and optimisation strategies within Azure Please send me a copy of your CV if you meet all of the requirement

Senior Data Engineer - Shape the Future of Data in Financial Services Locations: Hybrid - office presence 2-3 days per week across the Midlands & North West (commutable from areas such as Milton Keynes, Northampton, Banbury, Bedford, and Manchester) Salary: Up to 80,000 + Car Allowance + Bonus + Benefits About the Role Imagine joining a business right at the turning point of its data journey. A new Head of Data starts next week. A Data Architect is arriving soon after. The vision is clear: build a modern, scalable data platform that can handle messy, complex client data and turn it into trusted insights the business can rely on. That's where you come in. As their Senior Data Engineer , you won't just inherit a platform - you'll help shape it. The team has made great progress already, moving from traditional warehouses into Databricks and medallion architecture . But there are challenges to solve: transforming unstructured external data into business-ready models, shifting from batch to streaming pipelines, and embedding Unity Catalog governance so the right people can trust and use the right data. You'll be the hands-on expert who makes this possible, while also mentoring two Data Engineers and setting the tone for how the team grows. With new data leadership joining, this is a genuine chance to influence the platform, the processes, and the people. Why You'll Love It Here A genuine opportunity to shape a platform from the ground up , not just maintain what's already there. A role that blends hands-on engineering with mentoring and leadership . A tech stack built around Databricks, Unity Catalog, Azure, SQL, and Python - with freedom to introduce modern approaches. A package designed to reward you: up to 80k base + car allowance + bonus . Hybrid working with offices across the Midlands & North West (commutable from Milton Keynes, Northampton, Banbury, Bedford, and Manchester). This isn't just another Data Engineer role. It's a chance to step into a team at the exact moment where your ideas, skills, and leadership will shape the future. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Data Engineering Technical Lead Global Investment Bank London - Hybrid Permanent - Excellent Package + Benefits We are working with one of the world's leading banking groups, who we have partnered with for 15 years. We are seeking an experienced Data Architect / EDM Developer / Data Engineering Lead to join their International Technology team in London. You will be a key part of the Architecture, Middleware, Data & Enterprise Services (AMD) division, driving data engineering, integration and automation initiatives across MUFG's EMEA banking and securities entities. This is a hands-on leadership role, combining technical expertise with mentoring and team leadership. Key Responsibilities Architect, design and deliver enterprise-wide EDM and data solutions. Lead and mentor EDM developers, ensuring high-quality, cost-effective delivery. Drive data innovation, automation and best practices across EMEA. Translate business requirements into functional and technical designs. Ensure compliance with SDLC, governance, and risk policies. Skills & Experience - Essential Strong SQL Server or Snowflake skills. Advanced knowledge of low-code/no-code data engineering / ETL tools - ideally Markit EDM (v19.2+) or similar (e.g. Informatica). Proven delivery experience in Financial Services / Banking sector. Deep understanding of SDLC, systems integration, and data warehousing. Ability to gather requirements and liaise effectively with business stakeholders. Desirable Skills Cloud (AWS / Azure), Python, PowerShell, APIs. Data pipelines, lineage, automation. BI tools (Power BI, Tableau, SSRS). Modern data architectures (lakehouse, data mesh). CI/CD, GitHub, Control-M, dbt/Databricks. This is an opportunity to join a global top-5 bank with long-term stability, world-class resources, and clear career progression routes. Enterprise Data Architect, EDM Developer, Data Engineering Lead, Data Architect, ETL Developer, Data Solutions Architect, Senior Data Engineer (Financial Services). Apply today for full details. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

Senior DevOps Engineer Outside IR35 Fully Remote 500 - 600 per day 3 - 6 months initial duration The Role As an Azure Cloud Engineer , you will be responsible for designing, deploying, and managing cloud solutions on the Microsoft Azure platform. Your role will involve architecting cloud infrastructure, implementing security best practices, and optimising cloud resources for performance and cost-efficiency. You will work closely with cross-functional teams to deliver robust and scalable cloud solutions. You will provide expert guidance on cloud strategy, assist in cloud migration projects, and ensure that customer needs are met with the highest standards of service. Excellent stakeholder management skills are essential as you will interact with a broad spectrum of customers and internal team members, including direct interactions with senior leadership. Key Responsibilities Design and implement Azure cloud infrastructure solutions, ensuring scalability, reliability, and security Manage and optimize Azure resources for cost and performance efficiency Support cloud migration projects, including planning, execution, and post-migration support Implement and manage a range of Azure services such as Azure Virtual Machines, Azure Storage, Azure Databricks, Microsoft Sentinel and more Automate deployment and management processes using Azure Bicep (infrastructure as code) and tools such as Azure CLI and Azure DevOps Monitor and troubleshoot cloud infrastructure to ensure high availability and performance Ensure compliance with security best practices and policies in the cloud environment Provide ongoing support and maintenance for cloud infrastructure Participate in the on-call rota, supporting managed service customers Develop and maintain internal policies, procedures, standards, baselines, and guidelines where applicable Skills and Attributes Required Natural problem solver with excellent troubleshooting skills Ability to prioritise workload under pressure and deliver to tight deadlines Strong team player with excellent communication skills Enthusiastic, confident, and proactive Pleasant, friendly, and approachable manner with empathy for customers Please apply with you most up to date CV.

Senior Data Engineer Edinburgh 4 days per week on-site 6 months (likely extension) 550 - 615 per day outside IR35 Primus is partnering with a leading Financial Services client who are embarking on a greenfield data transformation programme. Their current processes offer limited digital customer interaction, and the vision is to modernise these processes by: Building a modern data platform in Databricks Creating a single customer view across the organisation. Enabling new client-facing digital services through real-time and batch data pipelines. You will join a growing team of engineers and architects, with strong autonomy and ownership. This is a high-value greenfield initiative for the business, directly impacting customer experience and long-term data strategy. Key Responsibilities: Design and build scalable data pipelines and transformation logic in Databricks Implement and maintain Delta Lake physical models and relational data models. Contribute to design and coding standards, working closely with architects. Develop and maintain Python packages and libraries to support engineering work. Build and run automated testing frameworks (e.g. PyTest). Support CI/CD pipelines and DevOps best practices. Collaborate with BAs on source-to-target mapping and build new data model components. Participate in Agile ceremonies (stand-ups, backlog refinement, etc.). Essential Skills: PySpark and SparkSQL. Strong knowledge of relational database modelling Experience designing and implementing in Databricks (DBX notebooks, Delta Lakes). Azure platform experience. ADF or Synapse pipelines for orchestration. Python development Familiarity with CI/CD and DevOps principles. Desirable Skills Data Vault 2.0. Data Governance & Quality tools (e.g. Great Expectations, Collibra). Terraform and Infrastructure as Code. Event Hubs, Azure Functions. Experience with DLT / Lakeflow Declarative Pipelines: Financial Services background.

Senior AWS Data Engineer - London - 125,000 Please note - this role will require you to work from the London based office. You must have the unrestricted right to work in the UK to be eligible for this role. This organisation is not able to offer sponsorship. An exciting opportunity to join a greenfield initiative focused on transforming how market data is accessed and utilised. As a Senior AWS Data Engineer, you'll play a key role in designing and building a cutting-edge data platform using technologies like Databricks, Snowflake, and AWS Glue. Key Responsibilities: Build and maintain scalable data pipelines, warehouses, and lakes. Design secure, high-performance data architectures. Develop processing and analysis algorithms for complex data sets. Collaborate with data scientists to deploy machine learning models. Contribute to strategy, planning, and continuous improvement. Required Experience: Hands-on experience with AWS data tools: Glue, PySpark, Athena, Iceberg, Lake Formation. Strong Python and SQL skills for data processing and analysis. Deep understanding of data governance, quality, and security. Knowledge of market data and its business applications. Desirable Experience: Experience with Databricks and Snowflake. Familiarity with machine learning and data science concepts. Strategic thinking and ability to influence cross-functional teams. This role offers the chance to work across multiple business areas, solve complex data challenges, and contribute to long-term strategic goals. You'll be empowered to lead, collaborate, and innovate in a dynamic environment. To apply for this role please submit your CV or contact David Airey on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

AWS Data Engineer - VP Level Location: London (Canary Wharf) Salary: (phone number removed) - (phone number removed) A leading financial institution is seeking a Senior AWS Data Engineer to join a greenfield initiative focused on transforming market data access and utilization. This VP-level role offers strategic influence, technical leadership, and cross-functional collaboration across business units. Key Responsibilities: Design and maintain scalable data pipelines, warehouses, and lakes using AWS technologies. Implement robust data governance, quality, and security practices. Collaborate with data scientists to deploy machine learning models. Lead or contribute to strategic planning, risk management, and stakeholder engagement. Drive innovation through advanced analytics and research-based problem solving. To be successful you should have: 10 years hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security. Proficiency in data processing and analysis using Python and SQL. Experience with data governance, data quality, and data security best practices. Strong knowledge of market data and its applications. Some other highly valued skills may include: Experience with other data engineering tools and technologies. Knowledge of machine learning and data science concepts. Familiarity with Barclays' data strategy and practices. Please send me your CV is you meet these requirements and we can then arrange call

Role Title: Data Solutions Architect (GCP) Business Unit: Data Management Role Overview This strategic, client-facing role sits within a growing Data Management practice and focuses on leading cloud-based data architecture initiatives, particularly on Google Cloud Platform (GCP). The Data Solutions Architect will collaborate with senior stakeholders to modernise data platforms, accelerate cloud transformation, and unlock business value through data and AI. This is a technical leadership position-not hands-on coding-but one that requires deep architectural expertise, strong consulting skills, and the ability to influence C-suite decision-making. The role also involves significant pre-sales engagement, translating client needs into solution designs and supporting proposal development. Key Responsibilities Pre-Sales Engagement Support responses to RFPs/RFIs/RFSs by translating client requirements into solution blueprints and proposal narratives. Collaborate with sales, pricing, and delivery teams to shape commercially viable and technically sound solutions. Enterprise Solution Design Architect and oversee the delivery of scalable data platforms (data lakes, lakehouses, warehouses) using GCP technologies such as BigQuery, Cloud Storage, Databricks, and Snowflake. Cloud Data Strategy Lead cloud migration and modernisation strategies using GCP and tools like Terraform, CI/CD pipelines, Azure DevOps, and GitHub. Data Modelling Apply hands-on expertise in enterprise data modelling using tools such as ERwin, ER/Studio, or PowerDesigner to ensure performance, scalability, and maintainability. ETL/ELT Frameworks Design robust data pipelines using tools like Cloud Composer, Dataflow, Dataproc, Informatica, or IBM DataStage, supporting both batch and streaming ingestion. Data Governance & Quality Implement governance frameworks, metadata management, and data quality controls using platforms such as Unity Catalog, Alation, Profisee, or DQ Pro. Client Advisory Act as a trusted advisor to senior client stakeholders (CDOs, CIOs, Heads of Data), shaping strategic roadmaps and transformation initiatives. Technical Leadership Lead and mentor cross-functional teams of architects, engineers, analysts, and data scientists. Promote innovation and best practices across global delivery teams. Documentation & Artefacts Produce and maintain architecture blueprints, technical design documents, data models, and integration diagrams to ensure transparency and alignment. Innovation & Thought Leadership Stay current with emerging trends in data mesh, data products, generative AI, and open data ecosystems. Contribute to internal capability development and go-to-market strategies. Required Qualifications & Experience Education Bachelor's or Master's degree in Computer Science, Information Systems, Business, or a related field. Experience 10+ years in BI, data warehousing, and analytics 4+ years in technical or solution architecture roles Strong experience in the banking domain (e.g., commercial, investment, retail banking, regulatory reporting, finance transformation) Insurance sector knowledge is a plus (e.g., general/life insurance, reinsurance, underwriting, claims) Technical Skills 3-5 years of hands-on enterprise data modelling Familiarity with reporting tools such as Power BI, Tableau, or QlikView Experience with GCP, Azure, or AWS Proficiency in DevOps tools like Terraform, GitHub, Azure DevOps Leadership & Communication Proven ability to lead teams and engage with both technical and business stakeholders. Certifications Preferred: Cloud certifications from GCP, Azure, or AWS. Benefits & Perks Competitive salary with performance-based bonus Private healthcare, life assurance, and income protection Pension scheme and financial wellbeing programs Discounts and cashback offers from major retailers Cycle-to-work scheme Access to professional development resources including online courses, workshops, and seminars Flexible hybrid working model Inclusive and diverse workplace culture Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. TRG are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at (url removed)

Job Title: Senior Data Engineer Salary: Up to 65,000 Location: Leeds (Hybrid - 2 days a week in the office) Are you a data engineering expert ready to take the next step in your career? We're hiring a Senior Data Engineer to join our growing team in Leeds. You'll play a critical role in designing, building, and managing modern data pipelines and cloud-based data solutions. What you'll be doing: Designing and maintaining scalable data pipelines Building and optimising data warehousing solutions Working with Databricks and modern cloud platforms (Azure or AWS) Collaborating with cross-functional teams to deliver high-impact data products Leading best practices in data engineering and pipeline architecture What we're looking for: Proven experience in data engineering at a senior level Strong hands-on knowledge of Databricks Experience with Azure or AWS cloud platforms Expertise in data warehousing and ETL processes Ability to work both independently and as part of a collaborative team Why join us? 65,000 salary Flexible hybrid working (2 days a week in our Leeds office) Exciting projects using modern technologies A supportive and innovative team culture Ready to shape the future of data? Apply today and be part of something impactful.

Your new company A Principal Data Engineer/Architect is required on a permanent basis for a forward-thinking organisation at the heart of Leeds. The Data Services team are on a mission to unlock the value of data by delivering high-quality, secure, and accessible data services. With a focus on modern cloud-based technologies and strong partnerships, they help colleagues navigate the complexities of a data-driven world. Your new role As a Principal Data Engineer, you will be instrumental in shaping the organisations strategic cloud data platform. You'll lead the design and implementation of scalable data pipelines, drive innovation in data-centric products, and champion automation and predictive analytics. This is a senior technical leadership role where you'll establish best practices, ensure compliance, and deliver smart, customer-focused solutions. What you'll need to succeed You'll bring extensive experience in data engineering within Azure environments, with a strong track record in modernisation and large-scale migration projects. You'll be confident designing metadata-driven frameworks and managing Databricks environments, with hands-on expertise in Python, T-SQL, and PySpark. Your leadership and mentoring skills will be key, alongside your ability to collaborate across teams and drive strategic decisions. Essential Skills Include: Proven leadership and mentoring experience in senior data engineering roles Expertise in Azure Data Factory, Azure Databricks, and lakehouse architecture Strong programming skills (Python, T-SQL, PySpark) and test-driven development Deep understanding of data security, compliance, and tools like Microsoft Purview Excellent communication and stakeholder management skills Experience with containerisation and orchestration (e.g., Kubernetes, Azure Container Instances) would be desirable AI/ML integration within data platforms would be advantageous What you'll get in return You'll be part of a dynamic and inclusive team, working on cutting-edge data solutions that make a real impact. The organisation offers a competitive salary up to 81K, excellent benefits including 8% cash payment on top of the salary, bonus scheme, and opportunities for professional development. You'll also enjoy flexible working arrangements, generous annual leave, public sector pension and a supportive environment that values innovation and collaboration. 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. 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 company A Principal Data Engineer/Architect is required on a permanent basis for a forward-thinking organisation at the heart of Leeds. The Data Services team are on a mission to unlock the value of data by delivering high-quality, secure, and accessible data services. With a focus on modern cloud-based technologies and strong partnerships, they help colleagues navigate the complexities of a data-driven world. Your new role As a Principal Data Engineer, you will be instrumental in shaping the organisations strategic cloud data platform. You'll lead the design and implementation of scalable data pipelines, drive innovation in data-centric products, and champion automation and predictive analytics. This is a senior technical leadership role where you'll establish best practices, ensure compliance, and deliver smart, customer-focused solutions. What you'll need to succeed You'll bring extensive experience in data engineering within Azure environments, with a strong track record in modernisation and large-scale migration projects. You'll be confident designing metadata-driven frameworks and managing Databricks environments, with hands-on expertise in Python, T-SQL, and PySpark. Your leadership and mentoring skills will be key, alongside your ability to collaborate across teams and drive strategic decisions. Essential Skills Include: Proven leadership and mentoring experience in senior data engineering roles Expertise in Azure Data Factory, Azure Databricks, and lakehouse architecture Strong programming skills (Python, T-SQL, PySpark) and test-driven development Deep understanding of data security, compliance, and tools like Microsoft Purview Excellent communication and stakeholder management skills Experience with containerisation and orchestration (eg, Kubernetes, Azure Container Instances) would be desirable AI/ML integration within data platforms would be advantageous What you'll get in return You'll be part of a dynamic and inclusive team, working on cutting-edge data solutions that make a real impact. The organisation offers a competitive salary up to £81K, excellent benefits including 8% cash payment on top of the salary, bonus scheme, and opportunities for professional development. You'll also enjoy flexible working arrangements, generous annual leave, public sector pension and a supportive environment that values innovation and collaboration. 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. 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 on our website.