274 jobs found

Senior Software Engineer / Developer (.Net Python SQL IaC) London 12 month FTC to £180k Are you a full stack technologist with a product based mindset? You could be progressing your career in a hands on Senior Software Engineer role at a tech driven, global Asset Manager with multiple billions of dollars under management, on a 12 month Fixed term Contract. As a Senior Software Engineer you will join one of the Investment Tech Engineering teams to design, develop and implement robust applications that serve Portfolio Managers, Equity Analysts, Quant and Data Insights, Decision Analytics and Performance teams. You'll collaborate directly with stakeholders and users to identify opportunities, troubleshoot issues and deliver capabilities that improve quality, speed and reliability of investment decision making systems. You'll work across the full tech stack from backend services through to APIs and GUIs, with a focus on C# .Net, Python, SQL and Terraform for IaC. You'll seek continuous improvement and pick new things up on the job as the tech stack evolves. Location / WFH: There's a hybrid work from home policy with three days in the London office per week where you'll join a supportive, diverse team environment with a large range of facilities. About you: You're a skilled Software Engineer with strong experience of delivering production systems You have experience within an Investment Management or financial services environment You have advanced skills with C# .Net, Python, SQL, Terraform and AWS You have experience of working with stakeholders and users to understand problems and build effective solutions You have experience of building web UIs and backend services, APIs You're comfortable with using AI tools and integrating them in user workflows You have achieved a 2.1 or above from a top tier university in a STEM discipline Ideally you will also have experience in one of the following areas: R programming, Delivery Management or Business Analysis What's in it for you: Please note this role is on a 12 month Fixed Term Contract basis, with full benefits Salary to £180k Pension Private medical insurance including 24 hour GP access Enhanced parental leave policy 25 days annual leave Ongoing training and development and financial support for courses Apply now to find out more about this Senior Software Engineer / Developer (.Net Python SQL IaC) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Overview Solus, part of the Aviva family, is growing our Technology capability and we're looking for a talented Performance and Monitoring Engineer to help us strengthen the stability, reliability and performance of our systems. If you're passionate about monitoring, observability and using data to proactively improve service health, this is a great opportunity to make a real impact across a large, modern technology estate. Responsibilities You'll be our subject matter expert for monitoring and performance, responsible for designing, implementing and maintaining the tools and dashboards that give us real-time visibility of our infrastructure, applications and cloud services. Your focus will include: Owning and optimising platforms such as LogicMonitor, Azure Monitor, App Insights and Log Analytics Building meaningful dashboards, alerts, telemetry pipelines and performance insights Identifying risks, trends and early indicators to prevent incidents before they happen Carrying out deep-dive investigations into performance issues and recommending improvements Working with Platform, Operations, Security and Product teams to ensure systems are reliable, available and scalable Automating responses and integrations to improve speed, accuracy and consistency Supporting major changes, deployments and post-incident reviews with data-driven evidence Qualifications Strong experience with monitoring and observability tools (LogicMonitor, Azure Monitor, App Insights, Log Analytics, Defender for Cloud) Excellent understanding of cloud performance, IaaS/PaaS, networking fundamentals, API performance and capacity modelling Skilled in dashboards, log queries (KQL), custom metrics and performance analysis Ability to diagnose complex issues across infrastructure, networks, applications or databases Confident scripting and automation skills (PowerShell, Azure Automation, Graph API) Clear communicator who can simplify technical detail for both technical and non-technical teams Desirable qualifications Microsoft certifications (AZ-900, AZ-104, AZ-305, AZ-500) or similar Experience with LogicMonitor admin, Grafana or other observability tools Familiarity with SRE concepts (SLIs, SLOs, error budgets) Understanding of ITIL processes Who are Solus? Solus, who are owned by Aviva, are one of the UK leaders in vehicle repairs, returning cars to the road in just 11 days on average and a 4.6/5 star customer rating. With an award-winning apprenticeship programme and winners of other recognised industry awards Solus are proud to be shaping the future of vehicle repair. Why Join Solus? We have so much to offer when it comes to being a Solus colleague: Competitive salary based on location, skills, experience, and qualifications. Bonus opportunity tied to your performance and the overall success of Solus. Company pension scheme with employer contributions. 33 days' holiday (including bank holidays), with the option to buy or sell up to 5 days. Save money with up to 40% discount on Aviva products and other retailer discounts. Share in Aviva's success through the Aviva Save As You Earn scheme. Supportive policies including parental and carer's leave. Wellbeing focus with tools like Group Income Protection and 24/7 GP access. At Solus, we value inclusivity and welcome all applicants. If you're excited but don't tick every box, we encourage you to apply-your unique skills might be just what we need. We guarantee an interview for disabled applicants meeting the minimum criteria-just email us after applying to let us know. Ready to join us? Apply online today, and our team will be in touch within 14 days.

About Scrumconnect Consulting Scrumconnect Consulting is a people-focused digital consultancy delivering impactful solutions across the public and private sectors. We specialize in building high-performing, diverse, and inclusive teams that work on mission-critical digital transformation projects. As a Disability Confident employer and a company committed to continuous learning, we take pride in investing in our people and growing talent from the ground up. Role Summary We are seeking a senior data professional to lead analytics, business intelligence, and data delivery initiatives across the business. The role will be highly hands-on, requiring strong Power BI, SQL, and data engineering capability alongside stakeholder management and team leadership. The successful candidate will design and deliver dashboards, data models, reporting solutions, and scalable pipelines that support operational and strategic decision-making. Key Responsibilities Lead the design, build, and maintenance of Power BI dashboards and reporting solutions for business users and leadership teams. Develop and optimize SQL-based data models, ETL/ELT pipelines, and analytics solutions across cloud and on-prem environments. Work hands-on with Databricks, Azure Data Factory, Synapse, SSIS, Python/PySpark, and related tools to support data transformation and automation. Translate business requirements into clear reporting and data solutions, working closely with senior stakeholders and cross-functional teams. Manage data quality, validation, governance, and compliance reporting to ensure trusted outputs. Support migration and modernization initiatives, including movement to cloud-based lakehouse or warehouse environments. Mentor analysts or junior BI team members and contribute to better delivery practices, agile ways of working, and process improvement. Required Skills Strong experience in Power BI, DAX, and dashboard development. Advanced SQL and data modelling skills. Experience with Python and/or PySpark for analytics or data engineering. Hands-on knowledge of Databricks and cloud data platforms, ideally Azure-based. Experience with ETL tools such as Azure Data Factory, SSIS, Alteryx, or similar. Strong stakeholder management and communication skills, including presenting to senior leaders. Experience leading or mentoring teams in a BI, analytics, or data engineering function. Preferred Experience Background in data analytics, business intelligence, or data engineering in a senior role. Experience delivering reporting and data solutions in large, complex environments. Exposure to sectors such as retail, healthcare, manufacturing, or public sector would be beneficial. Experience supporting migration to Databricks or a modern data platform. Personal Attributes Hands-on and delivery-focused. Strong problem solver with attention to detail. Comfortable working across technical and business stakeholders. Able to manage priorities in a fast-paced environment. Collaborative, proactive, and improvement-minded. Diversity & Inclusion At Scrumconnect Consulting, we are proud to be a Disability Confident employer and strongly committed to building a workforce that reflects the diverse communities we serve. We welcome applications from people of all backgrounds, identities, and abilities. Our recruitment processes are inclusive, fair, and designed to ensure equal opportunities for everyone. If you require any adjustments during the application or interview process, please let us know-we are here to support you

Location Successful candidates may be based in any of our office locations - Cardiff , Glasgow or London . We especially welcome applicants from Cardiff and Glasgow. About the job Job summary As the energy sector evolves, trusted and well-structured data is becoming increasingly important to how renewable energy schemes are delivered, governed and assured. At Ofgem, we're seeking a Data Architect to help shape the structures, standards and approaches that support this work. Ofgem is Great Britain's independent energy regulator. We're at the forefront of change across the sector, driving toward Net Zero whilst protecting consumers, especially vulnerable people. We're offering a permanent opportunity within our Delivery & Schemes division, which is responsible for administering a range of government renewable energy support schemes. This is a varied and evolving environment, with a broad programme of work focused on efficiency, assurance and delivering value for money for UK consumers. You'll be responsible for shaping how data is structured, governed and utilised across the division, ensuring that renewable energy schemes are backed and supported by data. Working across strategy and delivery, you'll help define practical data approaches that support both current services and future development across the division. With the chance to influence how data architecture develops, you'll work across a broad range of programmes and services, with technology, governance and delivery teams, playing a key role in shaping the data foundations that support the division's ongoing success with renewable energy. You'll bring significant experience operating as a Senior Data Architect within a complex organisation, alongside strong expertise in data modelling, integration technologies and cloud-based data architectures. You'll also understand how to develop structured data standards, governance approaches and interface documentation, with a strong awareness of data security, privacy and information governance requirements. The ability to operate effectively at both strategic and delivery levels will be essential. In return, you'll join a collaborative and supportive environment, where you can apply your expertise to meaningful work that supports major renewable energy schemes, and enjoy a comprehensive benefits package and an environment focused on your development, career path and goals. We have a critical purpose to ensure renewable energy schemes are delivered efficiently, and the data surrounding them is high-quality and connected. Join us and help shape the data foundations that support that mission. Read on and find out more. Job description Key Responsibilities Data architect - Government Digital and Data Profession Capability Framework Data Architecture & Standards Define and maintain enterprise data architecture artefacts, including conceptual, logical and physical data models Own and evolve data architecture principles, standards, and patterns Ensure consistency and reuse of data designs across Ofgem's digital and data landscape Solution Design & Assurance Lead data architecture design for projects and services, covering: Data ingestion, storage, and transformation Integration and data sharing Analytics and reporting Review and assure solution designs to ensure alignment with enterprise architecture and regulatory requirements Provide pragmatic architectural direction that supports delivery while managing long term risk Governance, Risk & Compliance Ensure data architectures comply with: DDaT and GDS standards Data protection legislation (UK GDPR) Security and information assurance policies Contribute to architecture governance forums and formal design reviews Identify, document, and manage data related architectural risks, including technical debt and obsolescence Support DPIAs and security design reviews from a data architecture perspective Data Strategy & Enablement Contribute to D&S' data strategy, roadmap, and target architecture Define approaches to: Master and reference data management Metadata, lineage, and data cataloguing Data quality and stewardship Enable teams to make effective use of data platforms through clear architectural guidance Stakeholder Engagement Work closely with business teams, analysts, engineers, product managers, and architects Communicate complex data architectures clearly to technical and non technical audiences Provide expert advice and consultancy on data related challenges and opportunities Support capability development across the DDaT and Data communities Person specification Essential Criteria Strong experience developing OLAP data models. (Lead Criteria) Experience integrating data from various sources and providing data to third-party stakeholders using secure methods with appropriate usage of policies, access controls, performance, and monitoring (i.e. API Management). (Lead Criteria) Experience developing and applying industry standard data architecture principles, patterns, and technologies to address user needs. Experience developing reference libraries, patterns and metadata repositories with reusability at the centre of their design. Strong stakeholder management with the ability to translate complex business requirements into scalable, interoperable, and flexible solutions. Ability to communicate in technical detail on topics of data lineage, data usage and data structures. Desirable Criteria Track record of working within a cloud-based technology landscape. Experience in integrating complex, cross-organisation processes and data models, ideally within a highly regulated environment.

Application Closing Date: 26 June 2026 Please note that in case of a high number of applications we might need to close the role ealier than the application closing date - so don't delay! As a Senior Digital Data Engineering Manager, you'll develop and drive the strategic direction for TUI's digital analytics capabilities, ensuring they align with and support business objectives. You'll define analytics standards, frameworks, and best practices across digital platforms while collaborating with stakeholders to identify opportunities for leveraging analytics to improve customer experience and business performance, serving as the bridge between technical implementation and business value by translating analytics capabilities into actionable insights and strategic recommendations. ABOUT OUR OFFER Personal benefits: Attractive remuneration, discretionary bonus schemes, generous travel benefits, extensive health & well-being support, and more.Flexible working: Work is something you do, not somewhere you go. We encourage a healthy work-life balance with a dynamic working environment.A career to shape: Access the TUI Learning Hub to level-up and reach your ambitions.Broaden your network: We champion intercultural collaboration and provide opportunities to work on global projects and teams.Community: Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation. ABOUT THE JOB You will lead a team of data engineers, to deliver against the roadmap. You will work closely with the digital analytics team and senior stakeholders across the business to help shape the roadmap and the strategy for digital data engineering within TUI.You will manage the team, leading team meetings, managing the work load via JIRA and conducting one to ones. Fostering a strong team dynamic and helping to mentor the engineers.You'll lead the design and implementation of data pipelines and integration processes for customer and marketing data from digital sales channels, designing scalable ETL processes for analytics data, developing data integration solutions between various platforms, and implementing data transformation and enrichment processes. You will have strong data engineering skills, including SQL and Python. You will have experience in managing codebases, CI/CD pipelines, and code reviews. You would have knowledge of a cloud based data systems, such as Google Cloud Platform, and cloud based storage such as Snowflake/AWS Establishing and maintaining data quality frameworks ensures the accuracy, completeness, and reliability of analytics data, as you develop automated data quality checks and validation processes, implement monitoring systems for data pipeline health, and create documentation and standards for data quality assurance. Working with cross-functional teams to understand data requirements enables you to deliver solutions that meet business needs, gathering requirements from analytics and business teams, translating business needs into technical specifications, and providing technical consultation on data engineering capabilities. You'll drive innovation in data engineering practices by researching emerging technologies, conducting proof-of-concept implementations, developing roadmaps for technology adoption and migration, ensuring compliance with data privacy regulations and security requirements, and overseeing the development of technical documentation for data engineering solutions. ABOUT YOU Your proficiency in programming languages commonly used for data engineering such as Python, SQL, and Java, along with understanding of database technologies including relational and NoSQL databases, allows you to develop efficient and scalable data solutions. Experience with cloud platforms such as AWS, Azure, or GCP and their data services, combined with knowledge of data quality assurance methodologies and tools, ensures you can deliver reliable analytics data for business decision making. You bring experience with data visualization tools such as Tableau or Power BI, combined with understanding of A/B testing and experimentation methodologies and knowledge of digital customer journeys and touchpoints.You possess proven success developing analytics strategies and measurement frameworks, with the ability to bridge technical and business perspectives and translate analytics into business value.You have a bachelor's degree in Business, Marketing, Computer Science, or related field with proven experience in digital analytics, business intelligence, or related roles at a senior level.You demonstrate outstanding communication and presentation skills with the ability to influence stakeholders and manage relationships effectively across multiple business units and markets.You're comfortable working with agile development methodologies and have a solid understanding of data privacy regulations including GDPR and CCPA.A Master's degree in Business, Analytics, or related field, professional certifications in relevant analytics platforms, experience in the travel or e-commerce industry, and understanding of machine learning and AI applications in analytics would be advantageous. From a workplace to a place to belong. At TUI we embrace diversity, equity, and inclusion, encouraging everyone to come as you are, because together, our potential is limitless. We are committed to supporting candidates with disabilities and impairments so if you require any support, please do let us know.

About the role This two-year programme provides the opportunity to develop hands-on capability across NHBC's digital landscape, gaining experience in data, systems, innovation, development and digital security. The role supports NHBC's ambition to embed data, analytics and technology into everyday decision making. Through three six-month rotations within Digital Services followed by a dedicated project you will learn how data, AI, automation and modern digital tools enable NHBC to raise standards, improve decision-making and protect homeowners. You will contribute to live delivery from day one, working alongside product, data, architecture, engineering and governance teams to support strategic priorities. What you'll be doing Contribute to the development, enhancement and testing of tools, features and system integrations Support the development of data pipelines, dashboards, models and other insight-generating tools Identify opportunities for automation and support AI proofs-of-concept and pilots Assist in strengthening digital governance, security and responsible technology practices Support improvements to system architecture, cloud-based tooling and data platforms Collaborate with colleagues across the business to help translate insight into action Produce reports, presentations and communication materials suitable for varied audiences Actively participate in programme activities, training, mentoring and NHBC-wide initiatives What we're looking for Degree (or equivalent) in a STEM, data, digital, technology or relevant analytical discipline Strong IT capability with the ability to quickly adopt new tools and platforms Good communication skills: able to explain technical ideas clearly to non-technical audiences Curiosity about how systems and processes work, with a passion for technology and data Adaptable, collaborative, proactive and comfortable working in agile environments Strong analytical and problem-solving skills with excellent attention to detail Desirable skills SQL or other query languages Cloud tools (e.g., Google Cloud Platform) Visualisation tools and data storytelling Version control, APIs, automation techniques Experience gained through internships or projects in digital, data or technology environments NHBC is authorised by the Prudential Regulation Authority and regulated by the Financial Conduct Authority and the Prudential Regulation Authority. This is a hands-on role involving real delivery on meaningful work contributing value to internal teams, builders and homeowners.

Data Architect - Azure, Databricks & Snowflake Remote First (UK) | Monthly London Meetups | £100,000-£110,000 A fast-growing international fintech organisation is seeking an experienced Data Architect to lead the design and evolution of a modern cloud-native data platform. This is a senior-level opportunity to shape enterprise-wide data strategy and architecture across a highly scalable Azure and Snowflake ecosystem, supporting advanced analytics, AI/ML, business intelligence, and data-driven product innovation. You will take ownership of the organisation's modern data architecture roadmap, designing secure, scalable, and high-performing platforms that enable analytics and engineering teams to deliver at pace. This role combines strategic architecture leadership with hands-on technical expertise across Azure, Databricks, and Snowflake technologies. Key Responsibilities Define and maintain the enterprise data architecture strategy and roadmap Design scalable, secure, cloud-native data platforms using Azure and Snowflake Architect modern lakehouse and enterprise analytics solutions Lead the design of conceptual, logical, and physical data models Support batch, streaming, and Real Time data processing capabilities Drive best practice across governance, metadata, lineage, and data quality Optimise platform performance, scalability, reliability, and cost Collaborate closely with engineering, analytics, architecture, and data science teams Provide technical leadership and architectural guidance across delivery teams Promote automation, CI/CD, and Infrastructure as Code practices Evaluate emerging technologies and contribute to long-term platform innovation Required Experience Strong experience designing enterprise data platforms within Microsoft Azure environments Deep expertise with Azure Databricks, Spark (PySpark/Scala), Delta Lake, and Lakehouse architecture Strong hands-on experience with Snowflake architecture and optimisation Experience with Azure Data Factory, ADLS Gen2, Synapse Analytics, and/or Microsoft Fabric Excellent understanding of modern data modelling approaches including Kimball, Inmon, and Data Vault Strong SQL, Python, Spark, and Snowflake SQL skills Experience with CI/CD and Infrastructure as Code tools such as Terraform, ARM, or Bicep Knowledge of governance and cataloguing tools such as Microsoft Purview Proven ability to operate in senior technical leadership or architecture roles Desirable certifications include: Microsoft Certified: Azure Data Engineer Associate Azure Solutions Architect Expert Databricks Certified Associate/Professional SnowPro Core Certification If you are passionate about modern data architecture and want to play a key role in building scalable cloud data platforms within a technology-driven organisation, we'd love to hear from you. Salary: £100,000-£110,000 Remote/London

NISTA- Senior Data Engineer Salary: London: £46,090 - £49,500. If the successful candidate is a current Civil Servant joining on level transfer, HM Treasury will honour their current substantive salary if higher. This role typically attracts a Government Digital and Data allowance of up-to £6,000 for eligible individuals. Eligibility will be assessed following appointment via a capability assessment in line with the Digital and Data Capability Framework Contract Type: Permanent Working Pattern: This post is available on a full time, part time or job share basis, and flexible working hours can be accommodated. Location: London (1 Horse Guards Road) This post can be based in London (1 Horse Guards Road). Any applicants who are already NISTA staff can also apply to be based from their existing locations in Birmingham (23 Stephenson Street), or Leeds (2 Whitehall Quay) Are you looking for an exciting opportunity to join a friendly and ambitious team who are always finding new ways to drive better use of data, right in the heart of central government. About the Team Nista The Prime Minister has called for reform of the British state, seeking to go further and faster on renewal, and to ensure a more active government. To support these aims, the government has established the National Infrastructure and Service Transformation Authority (NISTA) as its centre of infrastructure expertise, harnessing the policy and strategy insight of the National Infrastructure Commission (NIC) and the delivery specialism of the Infrastructure and Projects Authority (IPA) and bringing them together to create a new, stronger and more powerful organisation capable of delivering these goals. NISTA has six objectives: Overseeing the government's 10 Year Infrastructure Strategy Identifying and coordinating infrastructure needs Unblocking barriers and streamlining delivery of the government's major projects Setting standards and improving the government's project delivery capabilities Providing effective assurance for the government's priority projects Leading expertise on private finance The NISTA Data & Insight Team brings together data scientists, engineers, analysts and digital professionals who genuinely care about learning from each other, sharing ideas and making things happen. Together we turn rich, high-value project data into analysis, insights and tools that support people across government, from project delivery teams to senior leaders in HMT, the Cabinet Office and No10, to make decisions that shape how the UK delivers its biggest and most complex projects. Working with the Government Major Projects Portfolio, the 10 year Infrastructure Pipeline and other project delivery data, your work will directly influence how major programmes are planned, delivered and improved. Over the last two years, the team has undergone a significant transformation, digitising large-scale project data collection and overhauling our digital and data infrastructure. This enables us to create high-impact dashboards and analytics as well as drive the development of AI tools. It means we can develop and share quickly, resulting in rapid iterative development with our users. And we continue to evolve, improve our capability and develop our skills. In this role, you'll be joining a supportive, inclusive and collaborative environment, where you can grow your skills, tackle meaningful challenges and make a real impact on the future of government delivery. About the Job As a Senior Data Engineer in NISTA you will develop performant, reliable and secure data pipelines which help to inform senior leaders making decisions on projects worth in excess of £1tn. Working with subject matter experts, data scientists, and infrastructure engineers, you will ensure that data are relevant and processed effectively to enable products which meet the needs of our decision makers. You will use you your technical skills to translate complex data needs into easily understood and well documented structures by utilising and developing the team's mature cloud architecture and existing tooling. You will use a range of technical skills, deploying your existing data engineering toolkit as well as learning new techniques and experimenting to ensure you use the right tooling for the job. You will collaborate with a passionate team to promote a data-centric culture in the whole organisation, championing data engineering best practice in all your interactions with colleagues. Design, build and evolve robust data pipelines used to extract, transform and load data from our collection platforms into our cloud-based environment. Take ownership of the core data engineering tools that ensure our data is accurate, reliable and efficient to use. Work closely with data scientists and infrastructure engineers to shape how data is collected and transformed, enabling high-quality analysis and insight. Implement secure, well-governed change practices so back-end improvements can be delivered without disrupting production applications. Create and maintain clear technical documentation so that our data infrastructure is transparent and easy to work with. Act as a bridge between technical teams and non-technical stakeholders, clearly explaining data processes and helping others understand how data flows through the organisation. Learning and experimenting to keep up-to-date with relevant new and innovative data tools and techniques. About You You will have experience of designing, coding, and testing resilient and maintainable solutions and will have contributed to the implementation of complex or large-scale data solutions. We would like you to have experience working in a multi-disciplinary data team to deliver and develop impactful data solutions as well as working in Python and/or SQL in a data engineering context. Some of the Benefits our people love! 25 days annual leave (rising to 30 after 5 years), plus 8 public holidays and the King's birthday (unless you have a legacy arrangement as an existing Civil Servant). Additionally, we operate flexitime systems, allowing employees to take up to an additional 2 days off each month Flexible working patterns (part-time, job-share, condensed hours) Generous parental and adoption leave packages Access to a generous Defined Benefit pension scheme with employer contributions of 28% Access to a cycle-to-work salary sacrifice scheme and season ticket advances A range of active staff networks, based around interests (e.g. analysts, music society, sports and social club) and diversity For more information about the role and how to apply, please follow the apply link.

Head of Payroll Services London 12 month FTC 85k - 97k We are working with a London based NHS organisation to find a strong Head of Payroll to take the service through significant change. We are looking for someone with significant experience of stepping into a Payroll Manager role with a strong track record of driving change-ideally in automation and digital transformation. Importantly, you need experience in managing the people aspects of change, leading the team through what will likely be a challenging transition. Key duties associated with the service change are: Lead the strategic digital payroll agenda, driving automation, system integration, and transformation of end-to-end processes. Deliver a road map for service modernisation, maximising the use of ESR (the NWS) and associated digital platforms. Champion innovative technologies including: Intelligent automation / RPA Data analytics and insight tools Employee self-service enhancements Reduce manual processing and operational risk through process re-engineering and digital design. Align payroll transformation with wider Trust digital and data strategies, ensuring interoperability across systems. This is a hybrid role with on site working 2-3 days a week and the rest from home so you need to be able to commute to London

Customer Support Engineer Hours: Part time, 20 hours per week, Monday - Friday 8am - 12pm (4 hours per day) Contract: Fixed term role until 31 March 2027 Salary: £30,500 - £32,000 per annum, pro rata (£16,500 per annum for part time hours) plus Into Film Benefits Location: Edinburgh, Belfast, Cardiff, Salford or London. We operate in a hybrid pattern, combining home working with attendance at the office. About Into Film Into Film is the UK's leading charity for film in education and the community. We provide screen industry careers information and advice, support young filmmakers, and bring the power of moving image storytelling into classroom teaching. We also run the annual Into Film Festival which enables more than 400,000 pupils to visit the cinema for free, and the Into Film Awards - the UK's leading showcase for young filmmaking talent. The core Into Film programme is free for UK state schools, colleges and other youth settings, thanks to support from the BFI, awarding National Lottery good cause funding, and through other key funders including Cinema First and Northern Ireland Screen. Our vision - Film enriches the life of every child and young person. Our mission - To inspire and support young people to learn, and to realise their creative, cultural and career aspirations, through film and the moving image. Into Film operates a hybrid working policy with offices in London, Cardiff, Belfast, Edinburgh and Salford. We are open to flexible working models wherever the role allows, including working compressed hours. We also offer a range of staff perks and benefit, which are detailed below. Role Summary The main function of the Customer Support Engineer ("CSE") role is to ensure those who choose Into Film receive the most positive support possible from the organisation. So, the CSE will play a key role in our product strategy, demonstrating our commitment to high retention of account holders. The role exists as the front line of customer technical support for users of Into Film's online offer, including the educator, club member, and online learning websites. The CSE supports organisations, film clubs, educators, young people, and other account holders on their journey from recruitment to brand advocate. The CSE also plays a key role in monitoring issues and account activity, analysing these to inform new features and opportunities for the organisation. Main Responsibilities: Provide customer service and manage support queries from users of our products and services, including cases from inboxes, phone calls, live chat, etc., via Salesforce, our Customer Relationship Management system ("CRM") Troubleshoot and where necessary escalate technical issues to the Customer Support Engineer Coordinator and/or digital team via JIRA ticketing application Participate in rota for answering the main Into Film phone line Ensure that support documentation, including user-facing Frequently Asked Questions (FAQs), Knowledgebase (KB), and other website pages, are updated and developed to include the latest solutions for issues encountered by our users Assist with detailed reports on customer service issues utilising the CRM, including issue type and frequency Assist with creation and distribution of support-focused surveys of our users Assist with onboarding and provide escalation support should demand require outsourcing to service vendors or contractors Assist Customer Service Engineer (Coordinator) on projects and work areas defined by the Head of Product and Technology Any other reasonable duties assigned by Into Film. Person Specification: Minimum Requirements: Excellent customer relationship and service management skills Exceptional communication skills (verbal and written) Excellent time and project management skills, including an ability to prioritise and plan to maximise efficiency A good understanding of Salesforce or similar CRM, including service measurement tools, analytics, metrics and insights A good understanding of the education market and curriculum (formal and informal) Desirable: Familiarity with the Microsoft Office Suite (Office 365) Salesforce case management experience (Service Cloud) A love and knowledge of film All Into Film staff work in a hybrid pattern, combining home working with attendance at their local and national office when required, along with some travel across the UK, as appropriate to the role. We are open to flexible working models wherever the role allows, including working compressed hours. We also offer a range of staff benefits and perks, including: Annual Leave - 28 days (full time/pro-rata), including 3 days to cover office closure between Christmas and New Year. Pension - matched up to 5% of salary (2% above statutory employer contribution). Flexible working including compressed hours, job share etc. - all applications favourably considered, approval will be at the discretion of Into Film. Enhanced parental/paternity/shared parental leave. Interest-free non-essential study loans. Interest-free bike/scooter/travelcard loan. Employee Assistance Programme (EAP) - 24/7 confidential wellbeing support, advice and guidance. Wisdom health insurance cover - non-contributory (apart from employee tax contribution). BenefitHub portal - offering discounts on healthcare, wellbeing products, and lifestyle products and services. All employees regularly working with children and member data are required to undertake and maintain enhanced DBS clearance (and/or Access NI check or Disclosure Scotland check, depending on working location), acquired at Into Film's expense; employment is dependent upon this. Closing: 10:00am, Tuesday 30th June 2026 (BST) Interviews will be held between 14th and 15th July 2026. Interested? If you would like to find out more, please click the apply button. You will be directed to our website to complete your application for this position. No agencies please.

AI Application/Big Data Engineer 6-Month contract - Inside IR35 - market rate London based - hybrid working - up to 3 days a week onsite Finance sector - must have previous experience Role Overview Senior AI / Data Engineer responsible for designing, building, and optimizing AI-driven data pipelines and integrations to enable a QAS-powered response suggestion capability embedded in Salesforce Service Cloud. The role focuses on scalable data processing, LLM integration, and continuous model improvement using production telemetry. Responsibilities Design and implement Salesforce QAS integration architecture Build and optimize data pipelines supporting AI inference and feedback loops Develop backend services / APIs enabling response suggestion workflows Integrate LLM capabilities (Amazon Bedrock) for response generation and embeddings Enable continuous model tuning via: telemetry data quality scoring usage analytics Work with structured and unstructured data sources: Microsoft Graph (SharePoint / Teams) Implement asynchronous processing pipelines (SQS, EventBridge) Ensure data reliability, scalability, and performance Contribute to: design documentation runbooks technical decision-making Support: SIT/UAT phases production readiness hypercare and rollout to additional entities Required Experience & Skills Core 5-10 years of experience in Data Engineering / AI Engineering Strong experience in: Python / JVM-based backend development REST APIs / microservices Experience with cloud-native architectures on AWS Data & AI Hands-on with: Amazon Bedrock (or equivalent LLM platforms) data pipelines (batch + streaming) embeddings / retrieval architectures Experience using: Snowflake (data platform integration, CDC concepts) PostgreSQL (RDS) AWS Stack S3, RDS, SQS, EventBridge Containerized workloads (EKS/ECS) Engineering Practices Strong understanding of: distributed systems performance optimization observability (e.g. Langfuse, logging/metrics) Nice-to-Have Experience with: Salesforce Service Cloud integrations NLP / GenAI applications in customer service Exposure to: Amplitude or product analytics tools Knowledge of regulated environments (banking / capital markets) Soft Skills Ability to work in cross-functional distributed teams Strong ownership mindset (design production) Clear communication with business and technical stakeholders Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

Role : Data Engineer (Early Careers) Location : Surrey Salary : £41,000 Flexible working: 2 days a week in the office An exciting opportunity has arisen for an early careers Data Engineer to join a growing and highly collaborative data team supporting both business-critical operations and future-focused innovation projects. This role offers a mix of hands-on production support and strategic platform modernisation work within a modern Azure-based environment. You'll have the opportunity to contribute to AI initiatives, support evolving data platforms, and work with emerging technologies including Microsoft Fabric, GitHub, Apache Airflow, and intelligent automation tooling. The team offers a supportive culture, strong learning opportunities, and clear pathways for career progression and technical growth. Key responsibilities Support and maintain production data environments, BAU jobs, and business-critical data processes across pricing, finance, and underwriting functions. Develop, refresh, and extend data warehouse solutions while supporting modelling and analytics teams with high-quality data engineering practices. Contribute to strategic platform modernisation initiatives including AI projects, Microsoft Fabric exploration, GitHub adoption, and Apache Airflow implementation. Work within a collaborative Azure-based data engineering environment, bringing strong SQL and general data engineering expertise; SAS experience is beneficial but not essential. Join a growth-led business offering excellent training opportunities, career progression, and the chance to influence new ideas and future technology direction. If this role sounds of interest contact me on Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

Senior Data Engineer London Location London, Hybrid, 3 days in the office each week (Monday, Tuesday and Wednesday) Salary 70,000 to 80,000 dependent on experience Ref J13073 A fast-growing AI SaaS company is looking for a Senior Data Engineer to play a key role in building the data foundations behind its analytics and AI products. Working with complex, high-volume datasets, you will design and optimise the pipelines, models and data layers that power customer-facing solutions and machine learning applications. The Opportunity You will design, build and maintain scalable data pipelines that support a fast moving AI platform, working closely with product, analytics and machine learning teams to ensure data is accurate, accessible and trusted. You will be working with large volumes of imperfect and inconsistent data, solving complex challenges and improving data quality as the platform scales. The environment is modern and cloud based, with exposure to technologies such as Spark, Snowflake and BigQuery across AWS, GCP and Azure. You will have the opportunity to support and mentor other engineers, contribute to engineering standards and play an active role in shaping how the team works. The team is collaborative, supportive and values different perspectives. Engineers are encouraged to contribute ideas, challenge thinking and have a genuine impact on the direction of the platform. Key Responsibilities Design, build and maintain scalable data pipelines Own data pipelines from source through to production Work with complex and evolving datasets to create reliable outputs Improve data quality, performance and reliability as the platform grows Collaborate with product, analytics and machine learning teams Contribute to code reviews and engineering best practice Support and mentor other engineers What We Are Looking For Proven Python and SQL experience within production environments Experience delivering data transformation projects end to end Experience with Spark, Snowflake, BigQuery or similar technologies Solid experience working with AWS, GCP or Azure Comfortable working with complex, imperfect datasets Experience owning solutions from design through to deployment A collaborative approach and willingness to support others If you enjoy building the data foundations behind AI products and want to join a team where your ideas and contributions will be valued, this could be a great fit. Get in touch to learn more. Please note that applicants must have the right to work in the UK. Sponsorship is not available for this opportunity. Alternatively, you can refer a friend or colleague by taking part in our referral scheme. For each relevant candidate you introduce and we place, you will be entitled to our reward scheme. Datatech is one of the UK's leading recruitment agencies in analytics and the host of Women in Data. For more information, visit (url removed)

Data Engineer SQL London Location London, Hybrid, 3 days in the office each week (Monday, Tuesday and Wednesday) Salary 45,000 to 50,000 dependent on experience Ref J13133 We are looking for a Data Engineer to join an AI-first SaaS business developing next-generation analytics and decision intelligence products. Working alongside Product Managers, AI Engineers and Analysts, you will help build the data platforms, pipelines and models that power production AI solutions used by organisations across multiple sectors. What You'll Be Doing Building and maintaining data pipelines using SQL and Python Developing data models for analytics and AI applications Working with cloud platforms including Azure, AWS or GCP Supporting CI/CD processes and automated deployments Implementing data quality, monitoring and validation processes Collaborating with Product, Engineering and AI teams on new product development What We're Looking For Commercial Data Engineering experience Strong SQL skills Python experience Exposure to Azure, AWS or GCP Understanding of data modelling and data warehousing principles Experience working with Git and CI/CD processes Strong communication skills and a collaborative mindset Nice to Have SaaS or product development experience Exposure to AI or machine learning environments Experience with Databricks, Fabric or modern cloud data platforms The Opportunity Work on AI-powered products rather than internal reporting Join a collaborative product engineering team Exposure to modern cloud and AI technologies Opportunity to influence products used by real customers Excellent environment for learning and development For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Cyber Analytics Data Engineer £500-£560p/day (Inside IR35) 6 months initially Manchester (Hybrid) Our client is looking for a Cyber Analytics Data Engineer to join a specialist team delivering advanced analytics solutions within a cybersecurity environment. This role is ideal for someone who combines strong engineering capability with a solid understanding of the cyber domain. Key skills required: Strong Python development experience Databricks and PySpark expertise Experience with cloud-based data platforms (AWS, Azure and/or GCP) Data Engineering and analytics at scale Apache Spark ecosystems Cyber Security or Security Analytics experience CI/CD and automated deployment practices Strong stakeholder engagement and communication skills You will play a key role in supproting junior team members too, whilst collaborating with a range of cyber functions. If this sounds of interest, apply now! Cyber Analytics Data Engineer £500-£560p/day (Inside IR35) 6 months initially Manchester (Hybrid) Oscar Associates (UK) Limited is acting as an Employment Business in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Data Engineer Chippenham 5 days onsite We're working with a forward-thinking, data-driven organisation looking to hire a Data Engineer to join their growing technology team. This is a fantastic opportunity for someone with a few years of experience who wants to deepen their expertise and progress into Microsoft Fabric, working on modern data platforms and scalable integration solutions. What You'll Be Doing You'll play a key role in designing, building, and supporting robust data pipelines and system integrations that power business-critical analytics and operations. Key areas include: Building and maintaining ETL/ELT pipelines for structured, reliable data Developing integrations using REST APIs across multiple platforms Designing automated workflows to reduce manual processes Working with Microsoft Fabric to ingest, transform, and publish datasets Supporting and improving existing data solutions (BAU + project work) Ensuring data quality, validation, and error handling Collaborating with stakeholders to deliver scalable, future-proof solutions Tech Stack & Experience We're looking for someone comfortable working across a modern Microsoft data ecosystem: SQL Server (T-SQL, stored procedures, performance tuning) Microsoft Fabric (Dataflows, Power Query, Data Warehouse) - or a strong desire to grow into it Azure (Logic Apps, Function Apps) APIs & data formats (JSON, XML, CSV) Scripting / programming: Python, T-SQL, VBScript (bonus: PowerShell, Node.js, DAX) Understanding of automation, scheduling, and orchestration Exposure to SAP Business One is a plus Why This Role? Clear opportunity to build hands-on experience with Microsoft Fabric Work on modernising data architecture and integration patterns Blend of project delivery + real-world operational impact ? to influence automation and efficiency across the business Supportive environment with scope to learn, grow, and take ownership Who This Suits An early-career to mid-level data/integration engineer Someone who enjoys problem-solving and improving systems A professional looking to step into next-gen data platforms (Fabric) A strong communicator who can bridge technical and business teams If you're interested in taking the next step in your data engineering career and want to build expertise in Microsoft Fabric , apply now or get in touch to learn more.

Job Title: Payments Operation Analyst/Manager Location: Remote, England, UK Contract: 6 Months (Potential Extension) Payrate: 379 - 517 Per day Inside IR35 Overview We are hiring a Technical Data & Operations Manager/Analyst to support a fast-scaling creator monetization platform within a global digital organisation. This role sits at the intersection of data, operations, and technology, ensuring a seamless payment experience for creators across podcasts, audiobooks, and digital content. You will act as the central point of contact for complex payment and onboarding issues, combining hands-on problem solving with data-driven insights to improve systems and processes at scale. Key Responsibilities Manage and prioritise technical support queues (Jira) related to creator payments, onboarding, and account issues Act as the primary escalation point for complex payout, tax, and eligibility issues Analyse trends and recurring issues using SQL and internal data sources Partner with Engineering, Product, Finance, and Legal teams to resolve operational challenges and improve platform performance Drive automation and process improvements, leveraging AI tools where appropriate Maintain playbooks, SOPs, and internal documentation to improve efficiency and reduce escalations Perform operational tasks including account updates, payment adjustments, and data corrections Skills & Experience Experience in technical operations, data analytics, or platform support within a large-scale tech or digital business Strong SQL skills with the ability to investigate and interpret data Experience working with ticketing systems such as Jira Exposure to payment systems, financial platforms, or monetization workflows Ability to identify patterns, draw insights, and influence technical improvements Strong stakeholder management and communication skills Experience working in fast-paced, high-growth environments Preferred Background We are particularly interested in candidates from enterprise-scale technology or platform businesses or from big product based companies or similar organisations operating complex data and payment ecosystems. This is urgent opportunity where the hiring manager is looking to interview asap. If you are interested then apply with a copy of your CV or send your CV to khushboo .co .uk Randstad Technologies is acting as an Employment Business in relation to this vacancy.

SENIOR CREDIT RISK ANALYST UP TO £60,000-£75,000 PLUS BONUS LONDON HYBRID WORKING (2-3 DAYS PER WEEK IN-OFFICE) Are you looking for an exciting opportunity to join a high-growth, data-led fintech where you can take real ownership of credit strategy and drive commercial impact? This role offers the chance to lead on key lending decisions, working across products to optimise performance through advanced analytics and strategic insight. THE COMPANY This organisation is a well-established UK-based digital bank and lending provider, known for its strong growth, customer-centric approach, and innovative use of data. With a broad suite of lending products, they invest heavily in advanced analytics, technology, and data science to stay ahead in the market. THE ROLE This role sits within a central credit strategy function, supporting key lending products through data-driven decision-making. You will work on building and optimising credit strategies, influencing business performance, and collaborating cross-functionally. Specifically, you can expect to be involved in the following: Designing and optimising credit strategies and decisioning processes Analysing large datasets to identify trends and opportunities for performance improvement Developing models and forecasts to support lending, pricing, and commercial decisions Partnering with product, data science, and engineering teams to implement strategies Monitoring portfolio performance and recommending data-led enhancements SKILLS AND EXPERIENCE The successful Senior Credit Risk Analyst will have the following skills and experience: Experience in credit risk analytics within consumer lending Strong SQL and/or Python skills for data manipulation and analysis Ability to interpret data and communicate insights clearly to stakeholders Experience working with credit strategy, policy, or decisioning frameworks Strong problem-solving skills with a structured and analytical approach BENEFITS The successful Senior Credit Risk Analyst will receive a salary up to £60,000-£75,000 as well as a comprehensive benefits package.

Based in our Runcorn office, the Senior Data & Analytics Developer will provide technical leadership across our data and analytics landscape, designing and delivering high-quality, scalable analytics solutions using modern cloud technologies. The role plays a key part in shaping data strategy, mentoring developers, and enabling the business to make confident, data-driven decisions. Client Details We are Europe's leading producer of vinyls and in the top three worldwide. With an annual turnover of 5.1 billion, circa 4,300 employees and manufacturing, sales and marketing operations in 8 countries across Europe. Our portfolio consists of an extensive range of class-leading products arranged across General Purpose Vinyls; Specialty Vinyls; Organic Chlorine Derivatives; Chlor Alkali; Hydrogen and Performance Chemicals. Our annual commercial production volume is circa 10 million tonnes. Description The successful Senior Data & Analytics Developer will be responsible for but not limited to: Provide technical leadership for the design and delivery of Data & Analytics solutions, aligned to business priorities and industry best practice. Contribute to the definition and evolution of our Data & Analytics strategy, informed by emerging technology trends and hands-on delivery experience. Lead by example through the hands-on development of high-quality, sustainable solutions using cloud data platforms such as Snowflake and Microsoft Fabric. Collaborate closely with business stakeholders to understand processes and challenges, translating them into effective data and analytics solutions. Design, develop, and maintain robust data models, pipelines, and analytics products using industry-standard tools and practices. Own the end-to-end project lifecycle, including research, solution design, documentation, configuration, testing, implementation, go-live, and end-user training. Mentor and support developers within the team, promoting high standards of engineering, documentation, and professional conduct. Ensure all data assets conform to technical, cyber security, and regulatory standards, while meeting the needs of multiple business units. Profile The successful Senior Data & Analytics Developer will be able to demonstrate: Strong understanding of data warehousing principles, data modelling, and ETL/ELT patterns. Strong understanding of developing and maintaining complex data models. Advanced SQL skills, including query optimisation and performance tuning. Hands-on with cloud data platforms such as Snowflake and Microsoft Fabric. Ability to extract meaningful insights from complex and diverse data sets. Job Offer This is a hybrid role, 3 days a week in our Runcorn site, we have parking available and are easily commutable from the Liverpool, Cheshire & South Manchester area. We have a competitive benefits and rewards scheme which can be discussed including. Competitive salary ranging from £55,000 to £60,000 per annum. Permanent position based in Runcorn, providing stability and career growth opportunities. Comprehensive benefits package (details to be confirmed). A chance to work in the Chemical/manufacturing sector with a focus on innovation and analytics. If you are ready to take the next step in your career as a Senior Data & Analytics Developer and for more information, apply now.