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Senior Data Engineer Department: Global Security Services Employment Type: Permanent - Full Time Location: UK - London Description CFC is on a journey to be a leader in data driven insurance. We are a leader in automated cyber insurance and will use data more and more as the bedrock of our business. In order to support this we are building a single data platform which will enable us to collect, share and use data across our business and with many user communities. This data platform will initially be used to support MDM requirements and over time will expand to provide core capability for leveraging data across our organisation. In order to support this initiative, we are looking to hire a Data Engineer who will play a significant role in delivering this capability. Beyond the immediate use cases around the data platform, there are ample opportunities to influence the data approach to CFC and pioneer new initiatives to support the companies goals. We expect this role to be a mixture of hands on development work and strategic thinking. This is a great opportunity for an experienced data engineer to join a growing company at the forefront of data usage within the Insurance industry. You will be working with senior stakeholders to craft a new set of capabilities and have the opportunity to drive the direction and fundamentals of this platform. About the role What you'll be doing: Working with multiple stakeholder communities to understand our data needs and create pipelines to take data between different layers in the platform Ensuring the technical infrastructure is in place and appropriate to support managing the data platform and associated activities such as pipelines Creating standards and patterns to ensure that future development adhere to a high quality fit for purpose framework Defining features and capabilities to move the dial on data usage within the insurance industry Providing governance and consultancy to users of the data platform and data related questions About you 3+ years working in a Data Engineering role Knowledge of Python and Spark Strong SQL knowledge Experience analyzing, cleaning, migrating and modeling data Experience using Azure or another cloud provider (AWS, GCP)

OVERVIEW OF THE COMPANY Fox Corporation Under the FOX banner, we produce and distribute content through some of the world's leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking. JOB DESCRIPTION We are seeking a Staff Data Engineer to join our Emerging Tech team and define the data architecture powering our multimodal AI platform. You will set the technical vision and drive the implementation of scalable data pipelines, lakehouse infrastructure, and data platform capabilities that enable content intelligence, semantic search, recommendation, and personalization at scale - while raising the engineering bar across the data team. A SNAPSHOT OF YOUR RESPONSIBILITIES Act as the technical anchor for your product pillar - collaborate closely with product leaders, ML engineers, backend engineers, editorial, and merchandising teams to translate ambiguous goals into clear technical designs, and communicate decisions effectively to both technical and non-technical stakeholders Design and hands on implement high throughput batch and streaming data pipelines for multimodal content - including media segments, metadata, transcripts, and engagement signals - and architect the data models and ML feature stores that support them Build scalable data ingestion frameworks across heterogeneous sources including media processing systems, AI inference services, and user engagement events; partner with ML engineers to define feature ready data contracts for model training and inference, including embedding generation and vector storage Own data governance, lineage tracking, and quality frameworks; design observability and alerting to ensure data integrity and SLA compliance at scale Drive pipeline performance optimization and cloud cost management; lead adoption of CI/CD and infrastructure as code practices across the team Mentor data engineers at all levels, conduct design and code reviews, and evaluate emerging technologies to ensure the team's technical decisions align with platform strategy, security, and compliance requirements WHAT YOU WILL NEED Extensive data engineering experience operating production systems at scale in global engineering organizations Expert level proficiency in Python and SQL for large scale data processing and transformation Deep experience with distributed data processing frameworks (Apache Spark, Apache Flink, or equivalent) and streaming architectures (Kafka, Spark Structured Streaming) for both batch and real time workloads at terabyte scale Proven experience building data infrastructure for LLM and generative AI workloads - including training data preparation, embedding generation, and vector storage Proven ability to provide technical clarity in ambiguous environments - translating loosely defined product goals into actionable architecture decisions and driving alignment across engineering, ML, and product stakeholders Strong cloud platform experience on GCP, AWS, or Azure with hands on infrastructure as code (Terraform or CDK) and DevOps practices Deep understanding of data warehousing, data mesh principles, and open table format standards (Apache Iceberg, Delta Lake, or Apache Hudi) Ownership mindset with end to end accountability for architecture, implementation, and production operations NICE TO HAVE, BUT NOT A DEALBREAKER Experience with managed lakehouse platforms (Databricks or equivalent) and their ecosystem tooling Knowledge of media data formats, content metadata standards, or media processing pipelines Experience with observability and monitoring systems (Datadog, Grafana, or OpenTelemetry) Experience leading data platform migrations or large scale data infrastructure initiatives Contributions to open source data engineering projects or active participation in the data engineering community Curiosity and enthusiasm for multimodal AI, generative AI, and LLM powered applications We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

Are you ready to shape the future of data driven decision making across one of the UK's leading construction and materials businesses? At Tarmac, part of the global CRH Group, we are driving transformation through the power of data and insights - and we're looking for a visionary Data & Analytics Platform Architect to lead the way. The Opportunity In this pivotal role, you will be responsible for designing and delivering a scalable, secure, and future ready data and analytics platform that will serve as the single source of truth for our enterprise. Your mission: to empower teams across the business with reliable, real time insights that drive smarter, faster, and more impactful decisions. You'll sit within our Transformation Data & Analytics function, collaborating with technology and business stakeholders to shape strategy, ensure integration across systems, and champion data modernisation at scale. If you're passionate about cloud data platforms, enterprise architecture, and making data accessible and actionable - we want to hear from you. Key Responsibilities Define and evolve the enterprise wide data and analytics architecture, strategy, and roadmap. Lead the development of a modern data platform using Azure, Databricks, Power BI, and SAP data sources. Build robust data pipelines and integration models leveraging Azure Synapse, Data Factory, and automation tools. Ensure data governance, security, compliance, and quality across the platform. Guide and mentor cross functional teams, championing best practices and high standards in architecture and engineering. Implement TOGAF aligned architecture principles across business, data, application, and technology domains. Act as a trusted advisor to senior stakeholders, translating complex requirements into scalable, value focused solutions. What You'll Bring Proven success designing and delivering modern, cloud based data platforms (Azure/AWS/GCP). Deep knowledge of Databricks, Power BI, and enterprise integration tools. A developed understanding of TOGAF or equivalent enterprise architecture frameworks. Hands on experience in data warehousing, data lakes, data modelling, and ETL processes. Excellent stakeholder engagement skills with the ability to influence and inspire across all levels. A proactive, forward thinking mindset with a passion for innovation, sustainability, and continuous improvement. Your Background A Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred). Significant experience in data architecture, data engineering, and analytics leadership roles. TOGAF certification (preferred) or demonstrable experience in enterprise architecture. Eligible to work in the UK. Why Join Us? At Tarmac, we offer more than a role - we offer a mission. You'll be part of a purpose driven organisation that values integrity, collaboration, and innovation. We offer competitive benefits, career progression, and the chance to make a tangible impact on an industry that shapes the world around us. Enhanced holiday entitlement Contributory pension scheme Access to the Tarmac Reward website with discounts on retailers, holidays, etc. Access to our Employee Assistance helpline for free and confidential advice Working Parents Training and development opportunities

Application Security Lead Prolific is not just another player in the AI space - we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. Security at Prolific isn't an afterthought, it's foundational to how we build. As a company trusted by world leading research institutions and AI labs to handle sensitive data at scale, the security of our platform and the code that powers it is critical. We handle participant data, researcher credentials, payment flows, and API integrations, and we need someone to own how we protect all of it at the application layer. As Application Security Lead, you'll own Prolific's application security strategy and be the most senior security engineering voice in the organisation. You'll define and drive our Secure Software Development Lifecycle (SSDLC), set the standard for how security is embedded into engineering, and get hands on with code review, threat modelling, and security testing when it matters. You'll also manage our Senior Application Security Engineer and continue to own our compliance programme alongside these responsibilities. This is a player coach role. You won't just set strategy, you'll be in the code, leading by example, and building the security culture that scales with Prolific. You'll need deep engineering experience to earn the trust of our engineering teams, and deep application security experience to know where the real risks are. You'll report to the Head of Engineering/Platform and work cross functionally with product engineering, platform, data, TechOps, and legal teams. As we scale, there's a clear path for this role to grow into leading a broader security function. What you'll bring to the role Several years of experience in software engineering, you've built and shipped production systems at scale Several years in application security (testing, code review, threat modelling, vuln management) Expert knowledge of OWASP Top 10 (Web & API) and modern attack paths (e.g. auth flaws, SSRF, injection, business logic, supply chain) Strong understanding of modern architectures (microservices, APIs, event driven systems) Python for security tooling and automation (Django a strong plus) Hands on testing experience (e.g. Burp Suite) and manual assessment of apps/APIs Experience building and scaling SSDLCs, including CI/CD tooling (SAST, SCA, DAST, secrets) Experience leading threat modelling and security design reviews Strong engineering partnership skills, you influence through trust Experience with ISO 27001 / SOC 2 and translating controls into real engineering practices Clear communicator across technical and non technical audiences Nice to haves Experience mentoring or managing security engineers Experience with Django, Vue.js, MongoDB, GCP Security champions or bug bounty programmes Supply chain or infrastructure security (e.g. Terraform, Kubernetes) Experience building AppSec in a scaling company What you'll be doing in the role You'll own and evolve Prolific's application security strategy end to end, from hands on testing and threat modelling to scaling secure development practices across engineering. You'll act as the go to expert for application security, partnering with engineering leadership to balance risk and velocity, while building the tooling, processes, and culture needed to embed security into how we ship. This includes mentoring an AppSec engineer, leading high impact security reviews, owning vulnerability management, and ensuring our platform stays ahead of modern threats. Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation - one that reflects the breadth and the best of humanity. Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission driven culture. By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

Role Title: Lead Software and DevOps Engineer Duration: contract to run until 23/04/2027 Location: Sheffield, Hybrid 3 days per week onsite Rate: up to £529 p/d Umbrella inside IR35 Role purpose / summary We are seeking an accomplished Cybersecurity Lead Software and DevOps Engineer to drive the Responsible for designing and delivering enterprise security solutions, creating reusable security patterns, leading security engineering initiatives, and building new capabilities and environments. Acts as a principal-level engineer driving strategy, hands on implementation, and cross team adoption. In this role you will: Design and implement end to end security solutions across cloud and on prem environments. Build new security environments, frameworks, and components; perform POCs and pilots for emerging solutions. Develop and maintain reusable security patterns and reference architectures to reduce developer toil and improve security controls. Manage stakeholder requirements in a fast changing landscape of technical and customer requirements and deliverables. Manage a small team of engineers to deliver on objectives and stakeholder requirements. Lead security initiatives across IAM, secrets management, CI/CD pipeline security, and supply chain security. Implement secure secrets management using native cloud vaults and HashiCorp Vault. Work closely with platform and engineering teams to solve security control gaps and provide technical implementation guidance. Handover new environments, solutions, and patterns to engineering teams and provide support during adoption. Lead a team of engineers: define strategy, roadmap, delivery milestones, and ensure engineering execution. Drive enterprise wide adoption of security patterns through pilots, scaling, and stakeholder alignment. Produce high quality technical designs, implementation documents, and knowledge transfers. Operate independently at a principal engineer level, influencing architectural decisions and engineering direction. To be successful in this role you should meet the following requirements: Strong experience in security architecture, DevSecOps, IAM, secrets and key management. Hands on expertise with CI/CD security, cloud platforms, supply chain security, and HashiCorp Vault. Strong experience building enterprise solutions in both public cloud (AWS, GCP, Azure) and on premise. Proven track record leading engineering teams and large scale technical initiatives. Ability to design, build, test, handover, and scale security capabilities across an enterprise. Excellent communication, documentation, and stakeholder management skills. Ability to communicate effectively, and negotiate requirements and demands, from stakeholders and customers alike. Desired qualifications and experience The candidate will have suitable qualifications in public cloud or equivalent experience (e.g. AWS professional level at either Architecture or DevOps track).

Data Engineer Location: London office / Hybrid (2 days per week in the office) Reporting to: Head of Data Engineering Overview Millions of people visit the Rightmove website every month. We have a huge amount of data about how people use the site, and what this means to our customers. You'll be joining our growing Data Engineer & Infrastructure team - a collaborative, high performing group of engineers that uses this data to build the infrastructure that powers the UK's favourite property site. This is a hands on engineering role, where you will implement and maintain the technical foundations on a modern GCP based data platform: from writing robust Python and SQL, to deploying infrastructure with Terraform, and ensuring our pipelines are reliable, secure, and efficient. You take pride in executing the delivery of data engineering to the highest standards: building and maintaining batch and streaming data pipelines, managing ingestion and egress processes, supporting the analytics data layer that drives and powers all our reporting and insights to power our products across the entire business. This is an opportunity to join an inclusive, tight knit, high calibre engineering culture. Deepen your technical experience with a modern GCP stack, and apply your data engineering expertise to a platform used by millions every day. What You'll Be Doing Build and manage data pipelines that ingest, transform, and serve data across the business Contribute to the design and implementation of cloud based infrastructure using Terraform Work on complex data challenges, balancing short term delivery with long term platform evolution Collaborate with data product owners and stakeholders to collect and refine data requirements Optimise data storage, infrastructure performance, and cost within our data platform Support the analytics data layer by enabling clean, reliable data for downstream use in Looker and BigQuery Collaborate with analytics engineers, analysts, and data scientists to support their data use cases Contribute to the evolution of our self serve data platform and the implementation of our data strategy Participate in agile ceremonies, including sprint planning, refinement, and retrospectives Promote and practice excellent data and cloud engineering best practices, including testing, documentation, and observability We're Looking For Someone Who Has 3-5 years of proven experience in data engineering, working on production grade data pipelines and infrastructure within a large scale, cloud based data platform Has worked in a complex organisation with a mature or evolving data platform (e.g. BigQuery, Looker) Has strong Python coding skills and is confident writing complex SQL queries Has demonstratable experience, using Terraform to successfully manage infrastructure as code in a large scale platform Has hands on experience with GCP (BigQuery, GCS, Dataflow, Cloud Composer) or AWS (Redshift, S3, AWS Glue) Experience with dbt and understands data modelling principles and best practices Deep understanding of data storage, modelling, and orchestration concepts Has demonstratable experience setting up and managing data pipelines end to end Brings a collaborative and curious mindset, and enjoys working in cross functional teams Optimistic, curious and gets excited by tech, enjoys keeping up with current trends. Actively gets involved and enjoys contributing to tech events Is proactive, communicative, and comfortable contributing to technical discussions and design decisions Experience working with version control (Git) and CI/CD practices Awareness of data quality, privacy, and security best practices Knowledge of GDPR and data security best practices, as well as frameworks for testing, monitoring, and alerting in relation to data pipelines What We Offer Cash plan for dental, optical and physio treatments. Private Medical Insurance, Pension and Life Insurance, Employee Assistance Plan. 27 days holiday plus two (paid) volunteering days a year to give back, and holiday buy schemes. Hybrid working pattern with 2 days in the office. Contributory stakeholder pension. Life assurance at 4 your basic salary to a spouse, family member or other nominated person in your life. Competitive compensation package. Paid leave for maternity, paternity, adoption & fertility. Travel Loans, Bike to Work scheme, Rental Deposit Loan. Charitable contributions through Payroll Giving and donation matching. Access deals and discounts on things like travel, electronics, fashion, gym memberships, cinema discounts and more. Equal Opportunity Employer As an Equal Opportunity Employer, Rightmove will never discriminate based on age, disability, sex, race, religion or belief, gender reassignment, marriage / civil partnership, pregnancy/maternity or sexual orientation. At Rightmove, we believe that a diverse and inclusive workforce leads to better innovation, productivity and overall success. We are committed to creating a welcoming and inclusive environment for all employees, regardless of their background or identity, to develop and promote a diverse culture that reflects the communities we serve.

We're looking for an AI Engineer who can take end to end ownership of features: from wrangling messy data, to building robust RAG pipelines, to shipping reliable APIs into production. You'll sit between "wrapper dev" and "researcher": comfortable with Python, data, and modern LLM tooling, and sceptical enough about AI outputs to keep our systems safe and accurate. Ideally, you have experience in agentic frameworks, some software development and strong desire to learn. Key responsibilities include: Design, build, and maintain Retrieval Augmented Generation (RAG) pipelines over unstructured data (PDFs, HTML, emails, transcripts, APIs) using embeddings, vector databases (e.g. Pinecone, Weaviate, Qdrant), and Graph Databases (PuppyGraph, Neo4J, TigerGraph, ArangoDB, etc). Implement and tune chunking strategies to preserve context and improve retrieval quality, rather than naïve fixed length splits. Integrate LLMs (OpenAI, Anthropic, open source) via SDKs/HTTP, handling context windows, rate limits, retries, timeouts, and graceful degradation. Experience with AI coding tools: Cursor, Windsurf, etc. Someone who can look to remove the 'vibe' from 'vibe coding', and call out AI when it produces poor code, based on their human coding experience. Leverage AI-assisted development (e.g., Cursor/Windsurf/GitHub Copilot/LLM agents) to create production quality software faster - generating scaffolding, tests, and documentation - while applying rigorous human review for correctness, security, and maintainability. Architecture & Agentic Systems Designing multi agent / "agentic" workflows where specialized AI agents coordinate (triage, research, drafting, review) to solve complex tasks. Experience with conversation state management, tool routing, and designing robust hand offs between agents/services. Security, governance & ethics Implementing prompt injection defences, output filtering, role/permissioning, and safe tool use patterns. Knowledge of data privacy and governance concerns around AI (GDPR, SOC2) and experience with dataset auditing / fairness evaluation is a plus. Experience fine tuning or adapting open source models (e.g. Llama, Mistral) and managing training/inference pipelines. Comfort experimenting with new architectures and tooling and evaluating trade offs vs. hosted APIs. Build ETL jobs and ingestion scripts to clean, normalize, and enrich text data (Python, pandas, BeautifulSoup or equivalent). Work with both SQL and vector stores; design schemas and indices that support low latency semantic and hybrid search. Design, iterate, and version prompts (system, user, tool) using techniques like few shot examples and chain of thought to improve reliability on complex tasks. Own evaluation (evals) for your features: create test sets, define success metrics (accuracy, faithfulness, latency), and run regression tests before and after changes (e.g. Ragas or custom eval harnesses). Monitor production behaviour, debug hallucinations, and systematically reduce failure modes through better retrieval, prompting, and guardrails (not just "tweak the temperature"). Backend integration & APIs Build and maintain typed, well tested backend services (e.g. Python with FastAPI/Flask; Node/TypeScript as a plus) that expose AI capabilities to front end and internal consumers. Implement observability for your services (logging, metrics, tracing, token usage) and contribute to dashboards for reliability and costs. Work closely with product, design, and ops to scope AI features, translate fuzzy requirements into concrete technical plans, and iterate based on user feedback. Take end to end ownership of projects: from prototype through to production, maintenance, and continuous improvement. Other Be responsible for ensuring all information security processes, policies and procedures are adhered to and any issues or concerns are raised with the Cyber Security team. Ensure full compliance with all local data protection regulations and privacy controls, and any related issues are raised via the appropriate channels. Key Requirements Technical Keeps up to date with the latest developments in AI and loves to experiment with new models. Bachelor's or Master's degree (preferred) in Computer Science, Artificial Intelligence, Data Science, or a related field - including formal AI/ML study (e.g., machine learning, deep learning, NLP, statistics) or equivalent professional training/portfolio. Nice to have: Experience with Microsoft Power Platform (Power Automate, Power Apps, Dataverse) and/or Azure Logic Apps for workflow automation and integrating AI services into business processes. Previous experience in investments/ finance sector or autonomous systems is a plus. Experience in: Natural Language Processing (NLP), Computer Vision, Reinforcement Learning, Generative AI (e.g., GPT, Stable Diffusion). Approximately 3+ years professional software engineering experience, including 1-2 years building production AI/ML or LLM based systems. (Strong non traditional backgrounds with equivalent portfolio are welcome.) Expert proficiency in Python for backend and data work (typing, async, packaging, testing, performance profiling); familiarity with TypeScript/Node/React is a strong plus. Hands on experience with at least one orchestration framework (e.g. LangChain, LlamaIndex, etc.). Practical experience implementing RAG: embeddings, vector databases (Pinecone, Weaviate, Milvus, Qdrant, etc.), and semantic search. Comfortable with SQL and working with pandas/DataFrame style data manipulation. Experience building and deploying APIs/microservices (REST, JSON, auth, rate limiting, pagination, error handling). Nice to have: Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Solid software engineering fundamentals: testing, code reviews, version control (Git), CI/CD, and basic cloud services (AWS/GCP/Azure). Nice to have: Experience with IAC tools like Terraform and Crossplane. Rapidly prototype AI solutions, test emerging tools, and recommend best practices for adoption. Knowledge of MCP (Model Context Protocol) is a plus. Ability to explain complex AI concepts simply to stakeholders. Working understanding of how LLMs behave in practice: context windows, tokens, temperature/top p, hallucinations, and prompt injection risks. Familiarity with core concepts: embeddings, vector similarity, Transformers at a conceptual level (you don't need to derive attention, but you should know what it does). Demonstrated experience shipping production AI feature (e.g. RAG chatbot, summarization/search assistant, agentic workflow, etc.). Portfolio or GitHub strongly preferred. Strong problem-solving skills with ability to translate business needs into AI solutions. Evolve with AI - you realise we are universal learners, always and forever improving and pushing the next frontier. 'Fail fast' - looking to have someone who experiments quickly and learns even quicker! "AI scepticism": you use AI tools for speed but verify outputs and design systems assuming models will sometimes be wrong. Product thinking: you care about UX quality, not just whether the API returns 200. Ability to work with ambiguity, learn new tools quickly, and keep up with a fast moving AI ecosystem. Partners Capital is committed to being a great place to work. We are focused both on wellbeing and professional growth. You can expect professional development and career progression opportunities, competitive compensation, exceptional benefits and a flexible "results-focused" working model. Our benefits package includes private medical and life insurance, income protection and pension contributions. In addition, we partner with organisations to provide wellness benefits. Partners Capital supports global philanthropy via a charity program and provides a volunteer day for all employees. We also champion a variety of social events.

Analytics Engineer Location: London, Hybrid (minimum 2 days per week in office) Type: Full-Time, Permanent Reports to: Engineering Manager Due to the nature of our work, candidates must be eligible for Security Clearance. Join Our Mission At QuantSpark, we're transforming how data and AI serve society. Our team partners with forward-thinking organisations across multiple sectors to harness the power of analytics and artificial intelligence, creating meaningful impact that extends far beyond financial outcomes. Our impressive client portfolio : Private Equity & Financial Services: We work with top-tier investment firms, global financial institutions, and leading wealth management companies, providing portfolio performance analytics, AI-powered value creation, and risk identification tools. Retail & Consumer: Our solutions help major national retailers, high-street brands, and premium consumer goods companies optimise inventory, enhance price competitiveness, and deliver personalised customer experiences. Asset Management: We build AI-powered investment decision support systems, alternative data integration platforms, and automated risk management solutions for prestigious asset management firms. Public Sector: We're trusted by multiple UK government departments and public sector organisations to deliver predictive maintenance systems, supply chain optimisation, and process automation. SaaS, Manufacturing & More: From innovative SaaS providers to global manufacturing leaders, our cross-industry expertise ensures we bring diverse perspectives to complex challenges. We're seeking an Analytics Engineer who's passionate about turning complex data into actionable insights that drive remarkable results for our clients. Why You'll Love QuantSpark Work That Matters: Lead high-impact analytics projects across diverse sectors, from building predictive models that help private equity firms identify value creation opportunities to creating inventory optimisation algorithms for household-name retailers. Tackle Exciting Challenges: Design and implement technically sophisticated solutions such as real-time analytics platforms for FTSE 100 companies, automated risk assessment systems for asset managers, and predictive maintenance pipelines for government departments. Build Solutions That Scale: Your analytics engineering will power data products used by millions of customers, from recommendation engines for major retailers to fraud detection systems for financial institutions. Shape Technical Standards: As a growing consultancy, you'll help define our analytics engineering practices, tooling choices, and data architecture patterns that will serve as the foundation for our continued growth. Work Alongside Brilliant Minds: Collaborate with exceptionally talented colleagues who bring diverse expertise from leading universities, top tech companies, and varied industry backgrounds, all united by intellectual curiosity and a drive to solve meaningful problems. Your Impact as an Analytics Engineer Lead Technical Delivery: Own end-to-end technical execution of analytics projects, from initial data exploration through to production deployment. You'll architect robust data pipelines that transform messy real-world data into reliable, business-ready datasets. Drive Data Excellence: Champion analytics engineering best practices, implementing automated testing frameworks, data quality monitoring, and documentation standards that ensure our solutions are production-ready and maintainable. Shape Client Solutions: Work directly with clients to understand their business challenges and translate requirements into technical solutions. Innovate with Purpose: Explore cutting-edge approaches to analytics engineering, from modern data stack implementations to MLOps practices, ensuring QuantSpark stays at the forefront of the industry. The Real Challenges You'll Help Us Solve We believe in transparency about the realities of joining a scale-up consultancy: Complex, Messy Data: Real client data is rarely clean or well-structured. You'll need creativity and technical skill to build robust pipelines that handle edge cases, missing data, and evolving schemas while maintaining data quality. Diverse Technical Stacks: Each client brings different tools and constraints. You'll work across various cloud platforms, databases, and analytics tools, requiring adaptability and continuous learning. Balancing Speed and Quality: Clients need results quickly, but our reputation depends on delivering robust, scalable solutions. You'll help teams maintain engineering excellence under time pressure. Building While Flying: Unlike established enterprises, we're still developing some of our data engineering standards and practices. You'll help shape these systems while navigating some ambiguity. Competitive Analytics Market: With data engineering roles growing 20% year-over-year, you'll help us stay competitive by developing cutting-edge capabilities while mentoring talent in high demand. The right candidate will see these challenges as energising opportunities to create outsized impact in a growing organisation. Role Requirements Technical Expertise 2+ years of experience in analytics engineering, data engineering, or similar roles with substantial experience building production data pipelines Python skills (NumPy, Pandas, SQL Alchemy) and expert-level SQL across multiple database platforms Hands on experience with modern data stack tools including dbt, Airflow, and cloud data warehouses (Snowflake, BigQuery, Redshift) Strong understanding of data modelling, schema design, and building maintainable ELT/ETL pipelines Exposure to cloud platforms (AWS, Azure, GCP) and infrastructure as code practices Leadership & Communication Strong communication skills with ability to explain complex technical concepts to both technical and non technical stakeholders Experience working directly with internal or external stakeholders to gather requirements and present solutions Strong project management skills with ability to balance multiple priorities and deliver on time Collaborative mindset with experience working in cross functional teams What Success Looks Like in Your First Year Technical Impact: Successfully contribute to analytics engineering projects, delivering robust data pipelines that drive measurable business outcomes for clients Quality Leadership: Utilise data quality frameworks and testing practices that become standard across our analytics teams Client Relationships: Interact with key technical stakeholders at major clients, becoming a trusted contributor to their data strategy outcomes Innovation Contribution: Research and evaluate new tools, practices, or methodologies that improve our team's efficiency and solution quality Benefits £6,000 annual training & conference budget to keep you at the cutting edge of analytics engineering Up to 6% matched pension for your long term security Comprehensive private healthcare through Vitality Work from anywhere in the world for up to 20 days per year 25 days holiday + bank holidays + flexibility to buy/sell up to 5 additional days Sustainable commuting support through our cycle to work scheme Engaging Central London office environment with quality refreshments, regular team socials, and a vibrant atmosphere Exclusive discounts on retail, travel, technology, and fitness memberships Regular tech talks, knowledge sharing sessions, and innovation time Internal Tech mentorship Equal Opportunities We are committed to building a diverse and inclusive team. Different perspectives, identities, and experiences make us stronger, both as people and as a business. All qualified applicants will be considered without regard to sex, sexual orientation, marital status, race, nationality, religion, disability, or age. We currently have an underrepresentation from women, BAME, disabilities and LGBTQ communities. As such, we particularly welcome applicants from these groups.

Role Overview We are seeking a Data Engineer to support a key client project, focused on designing, building, and optimising data pipelines within a cloud-based data and analytics environment. The role requires strong data engineering fundamentals, reliable delivery, and the ability to collaborate closely with technical and business teams. Key Responsibilities Data Engineering & Pipeline Development Design, develop, and maintain scalable data pipelines across batch and streaming workloads. Build robust ingestion, transformation, and curation processes aligned with modern data engineering tools and patterns. Develop and maintain data models, curated datasets, and integration layers to support analytics and reporting. Optimise data processing for performance, reliability, and cost efficiency. Data Quality, Governance & Security Implement data quality checks, validation routines, and automated monitoring. Ensure accurate and up to date data lineage, metadata management, and documentation. Apply appropriate security controls, including role based access, data masking, and protection of sensitive information. Cloud & Platform Engineering Work with cloud native services for storage, compute, and workflow orchestration. Monitor pipelines and platform performance, identifying and resolving issues and bottlenecks. Support environment configuration, standardisation, and implementation of best practices. DevOps, Automation & Observability Use CI/CD processes to deploy code, configurations, and data assets across environments. Maintain version control, participate in code reviews, and follow release processes. Build monitoring, alerting, and logging to support high quality operations and rapid issue resolution. Collaboration & Delivery Collaborate with Data Scientists, analysts, engineers, and business stakeholders to understand requirements and deliver robust solutions. Support requirement gathering, solution design, documentation, and technical handover. Contribute to continuous improvement, standardisation, and knowledge sharing. Skills Required Strong experience in data engineering and pipeline development. Proficiency in SQL, data modelling, and transformation techniques. Experience with cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD, version control (Git), and automation tools. Understanding of data quality, governance, and security best practices. Strong analytical, communication, and collaboration skills. How We Work Delta Capita is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, colour, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you require any reasonable adjustments through your interview process, please use the designated space within the application questionnaire. This is a fixed-term position located in London. As the selection and interview process is ongoing, please submit your application in English as soon as possible, if your profile is selected, a member of our team will contact you within 4 weeks. For this role, a valid working permit for the UK is mandatory. Expectations regarding hybrid working As we are a Service Provider and Consulting firm servicing clients, our policy for physically working from the office (which may be the clients' offices or our own offices depending on the client) aligns to what our clients' policies and expectations are and these vary. Most of our clients now require a minimum of 3 days per week in the office, 2 days from home, and accordingly this is also the minimum expectation that Delta Capita require. Who We Are Delta Capita Group (a member of the Prytek Group) is a global managed services, consulting, and solutions provider with a unique combination of experience in Financial Services and technology innovation capability. Our mission is to reinvent the financial services value chain providing technology based mutualized services for financial institutions for non-differentiating services. Our 3 offerings are Managed Services Consulting & Solutions Technology To know more about Delta Capita and our culture click here: Working at DC - Delta Capita.

Overview We're looking for an experienced Data Engineer to join our growing data function and play a key role in designing, building and optimising scalable data solutions. The ideal candidate will bring strong experience working with Databricks, alongside Apache Spark and SQL, and be comfortable operating within Azure or another cloud environment. Experience with DevOps practices - such as CI/CD, infrastructure as code, or platform automation - would be a major advantage, though it's not essential. If you enjoy working with large datasets, modern data tooling, and solving complex engineering challenges in a collaborative environment, we'd love to hear from you. We work in a hybrid way, with a requirement to travel into our Walsall office 2-3 times a week to work with the team. The Business Intelligence and Data department is responsible for the provision of reporting from key business systems to other areas of the business as well as the integrity and maintenance of master data held on those systems, ensuring there is sufficient governance around the set-up processes and exception monitoring in place to identify potential issues. As a Data Engineer at HomeServe, you will play a key role in building and maintaining our data infrastructure and pipelines. You will work closely with data scientists, analysts, and other stakeholders to ensure that data is available, accessible, and ready for analysis. Principal Accountabilities Data Pipeline Development: Develop, and maintain data pipelines to ingest, transform, and load data from various sources into our data warehouse or data lake. Data Integration: Integrate and consolidate data from diverse sources, ensuring data quality, consistency, and reliability. ETL Processes: Build and optimise ETL (Extract, Transform, Load) processes to clean, transform, and enrich data for analysis. Performance Optimization: Review and resolve performance bottlenecks and issues within data pipelines and ETL processes. Data Security: Implement data security measures to protect sensitive information and ensure compliance with data privacy regulations. Monitoring and Maintenance: Implement monitoring and alerting solutions to identify and address data pipeline issues. Documentation: Maintain documentation for data pipelines, ETL processes, and best practices. Testing: Undertake testing activities on developed changes ahead of release About You To be successful in this role you will need to have the following knowledge, skills and attributes: Proven experience as a Data Engineer or similar role, with experience in Databricks and Apache Spark. Proficiency in programming languages such as Python and Scala. Good SQL and data modelling skills. Experience with big data technologies and distributed computing. Hands on experience with cloud platforms (e.g., AWS, Azure, or GCP). Have good relevant knowledge and awareness of market/industry trends Good team player, willing to collaborates with team members to deliver high-quality outputs under guidance Be able to work within established frameworks to implement solutions and troubleshoot issues Excellent stakeholder management skills and capable of managing expectations effectively. Databricks certification. Experience with building near real time streaming data products. Familiarity with DevOps practices and CI/CD pipelines is a plus. Benefits Competitive + £5500 Cash/Car Allowance + 10% Yearly Bonus

At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionaryscientists, technologists, engineers, researchers, educators and innovatorsto tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Generative Biology Institute: Led by Founding Director Jason Chin, the Generative Biology Institute (GBI) at the Ellison Institute of Technology is tackling the key challenges in making biology engineerable, and thereby unlocking the unrivalled power of biology for the benefit of humanity. The vision of the GBI is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more. GBI will have sustained and substantial funding to support the unique scale and ambition of its ground-breaking vision for engineering biology. GBI researchers will also be supported by cutting-edge technology hubs including mass spectrometry, flow cytometry, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics, and machine learning. The environment at GBI will allow researchers to undertake ambitious, long-term, collaborative research, and we will actively support the translation of research to commercial applications, where appropriate. The Generative Biology Institute commenced operations in 2025, occupying newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose-made facility in the Oxford Science Park, currently under construction. Once complete, this state-of-the-art facility will include more than 40,000 m of research laboratory and office space. It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT's Humane Endeavors. Your Role: At EIT/the GBI we are seeking a detail orientated Research Software Engineer to help design, build, and operate the software and data systems that enable cutting-edge research in engineering biology. This is a broad, hands-on role at the interface of scientific research, software engineering, data engineering, cloud infrastructure, and high-performance computing. Working as part of a new Scientific Computing team, the postholder will have the opportunity to shape and build systems from an early stage, rather than simply maintain established platforms. They will contribute to the development of data collection workflows, scientific software, cloud-based data infrastructure, HPC-enabled analysis pipelines, monitoring tools, and a data platform that will help researchers locate, access, and use scientific data effectively. This role is particularly suited to someone who enjoys working across the technology stack, learning new tools and domains, and collaborating closely with scientists and engineers. We do not expect candidates to have deep experience in every area listed in this description . Instead, we are looking for a strong software engineer with a scientific mindset: someone who can understand research needs, communicate clearly with multidisciplinary teams, learn unfamiliar technologies quickly, and help build reliable, scalable systems that advance GBI's scientific mission. Key Responsibilities Design, develop, and maintain high-performance, maintainable, and reusable research software to support large-scale biomedical data analysis. Partner with scientists to understand research workflows, develop robust and user-friendly computational tools and services that meet scientific needs, and train users in their effective application. Help build data collection and ingestion workflows for laboratory-generated data, including heterogeneous data types, formats, and sources. Contribute to the development of cloud-based data infrastructure, including systems for data movement, integrity, replication, monitoring, and access. Help to deploy, scale, and optimise software and workflows across local and cloud-based HPC environments, including Slurm-based systems. Benchmark, profile, and optimize computational workloads for maximum performance, scalability, and efficient use of hybrid HPC and cloud environments. Explore and innovate solutions where data and computational needs are at the frontier of what is currently possible. Apply software engineering best practices, including version control, testing, CI/CD, code review, documentation, infrastructure as code, and containerisation. Essential Knowledge, Skills and Experience: Bachelor's or Master's degree in Computer Science, Computational Biology, Engineering, or a related field (PhD desirable). Ability to work closely with multidisciplinary research teams to deliver computational tools that advance scientific goals. Strong communication and relationship-building skills, with the ability to work effectively across engineering teams and explain technical concepts clearly to scientists and non-specialist audiences. Proficiency in one or more key programming languages (e.g., Python, Julia, Rust, C/C++, or Java). Desirable Knowledge, Skills and Experience: 2+ years of professional experience (or equivalent) in software engineering, preferably within a scientific or research environment. Proven experience developing software for scientific research, data analysis, or computational biology. Familiarity with parallel and distributed computing frameworks and techniques (MPI, CUDA, OpenMP, etc). Experience in GPU optimisation and/or machine learning frameworks. Experience working with workflow management systems (Nextflow, Snakemake, CWL, or WDL), ideally in the fields of bioinformatics, computational biology, scientific computing, or data science workflows. Experience integrating software into HPC and/or cloud environments (OCI, AWS, GCP, Azure, or hybrid systems). Strong understanding of modern software engineering practices, including CI/CD, testing, and containerization. Our Benefits: Salary: Competitive + travel allowance + bonus Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Working Together - What It Involves: You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case-by-case basis. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate). During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme. We have a hybrid policy in place, minimum 3 days a week on site

Opticore IT are currently searching for a Senior Cloud Network Engineer for a large Financial Services client, to build and maintain infrastructure platforms and products that support applications and data systems, using hardware, software, networks, and cloud computing platforms as required with the aim of ensuring that the infrastructure is reliable, scalable, and secure. This is a hybrid opportunity based 2 days on site in London or Manchester. Opticore IT is a specialist Networks & Platform Engineering and Project Management consultancy offering a wide variety of opportunities to work within fast-paced, challenging environments across our client base spanning multiple sectors, including Finance, Broadcast Media, Telecommunications and more. What you'll be doing: This role sits within the Cloud Platform Engineering function, which is responsible for building and operating secure, scalable and resilient cloud environments across AWS, Azure and GCP for business-critical applications. This role supports cloud adoption, contributes to platform engineering standards, and drives operational excellence across cloud services. Highly developed Python development capability, with practical experience in AWS as a primary cloud platform, including services such as IAM, CloudFormation and Service Catalog, alongside a well-established understanding of Agile methodologies, working with Git, relational databases and RESTful APIs. Ability to design, build and run cloud services at scale, including networking, identity and access, monitoring, resource optimisation and security, as well as developing Infrastructure as Code using tools such as CloudFormation or Terraform. Demonstrated experience designing and implementing CI/CD pipelines using tools such as GitLab and Python, combined with the ability to support and guide team members, encourage collaboration, and promote engineering and delivery best practices. What you'llbring: Strong Python development experience Hands on AWS experience including IAM, CloudFormation and Service Catalog Infrastructure as Code experience (Terraform and/or CloudFormation). CI/CD pipeline engineering experience using GitLab Experience operating secure cloud environments at scale. Diversity: At Opticore IT we embrace diversity and are committed to equal opportunities. We actively recruit for an inclusive and diverse workforce and as such, want to ensure we do everything we can to support your application. We want you to feel empowered to let us know if you require any adjustments to be made with your application or interview process so please speak to our recruitment team.