326 to 350 of 363 Data Pipeline Jobs in Central London

Food & Beverage (FTSE 250) TRIA are supporting a global Food & Beverage client who are building our their BI engineering capability and are on a mission to transform how data is used across the business. This new role offers the chance to own and define BI standards, bridge the gap between BI and Data Engineering, and take … ownership of Power BI licensing and governance. What you’ll be doing: Champion BI best practices across the organisation Act as the bridge between the BI team and Data Engineers Own Power BI licensing, governance, and rollout Build and optimise data pipelines Develop insightful dashboards and reports using Power BI and DAX Help shape a data-driven culture in a business where no one currently owns BI! What we’re looking for: Strong technical background in BI and data engineering concepts Proven experience with Power BI and DAX Understanding of data pipelines and how they support reporting Ability to influence and educate stakeholders on BI best practices If your experience More ❯

Food & Beverage (FTSE 250) TRIA are supporting a global Food & Beverage client who are building our their BI engineering capability and are on a mission to transform how data is used across the business. This new role offers the chance to own and define BI standards, bridge the gap between BI and Data Engineering, and take … ownership of Power BI licensing and governance. What you’ll be doing: Champion BI best practices across the organisation Act as the bridge between the BI team and Data Engineers Own Power BI licensing, governance, and rollout Build and optimise data pipelines Develop insightful dashboards and reports using Power BI and DAX Help shape a data-driven culture in a business where no one currently owns BI! What we’re looking for: Strong technical background in BI and data engineering concepts Proven experience with Power BI and DAX Understanding of data pipelines and how they support reporting Ability to influence and educate stakeholders on BI best practices If your experience More ❯

We are partnering with a rapidly scaling Palantir implementation partner, expanding across all seniority levels, having secured a strong pipeline of projects across various industries. This is an exciting opportunity to specialise in one of the fastest-growing technology markets and collaborate with some of the most experienced leaders in the field. Responsibilities: Develop and maintain data More ❯

We are partnering with a rapidly scaling Palantir implementation partner, expanding across all seniority levels, having secured a strong pipeline of projects across various industries. This is an exciting opportunity to specialise in one of the fastest-growing technology markets and collaborate with some of the most experienced leaders in the field. Responsibilities: Develop and maintain data More ❯

products. In this role you will Work end-to-end on new ML models from development through to training and optimising Work closely with a small team of data scientists, engineers and product managers Implement scalable data pipelines and deployment strategies for new models Continuously improve solutions and conduct performance evaluations of models What we’re More ❯

products. In this role you will Work end-to-end on new ML models from development through to training and optimising Work closely with a small team of data scientists, engineers and product managers Implement scalable data pipelines and deployment strategies for new models Continuously improve solutions and conduct performance evaluations of models What we’re More ❯

all stages of the AI lifecycle. Act as the technical SME, providing guidance and solutions to complex security challenges in AI/ML deployments. Work closely with engineering, data science, and DevSecOps teams to embed security best practices. Assess and mitigate risks specific to AI models, data pipelines, and ML/AI frameworks. Influence security strategy … edge AI security initiatives. Experience & Skills Required: Proven hands-on experience securing ML/AI systems (not theoretical knowledge). Deep technical expertise in AI/ML architectures, data pipelines, and model lifecycle security. Strong understanding of threat modeling, risk assessment, and security controls in AI/ML contexts. Previous experience as a Security Architect or senior security More ❯

all stages of the AI lifecycle. Act as the technical SME, providing guidance and solutions to complex security challenges in AI/ML deployments. Work closely with engineering, data science, and DevSecOps teams to embed security best practices. Assess and mitigate risks specific to AI models, data pipelines, and ML/AI frameworks. Influence security strategy … edge AI security initiatives. Experience & Skills Required: Proven hands-on experience securing ML/AI systems (not theoretical knowledge). Deep technical expertise in AI/ML architectures, data pipelines, and model lifecycle security. Strong understanding of threat modeling, risk assessment, and security controls in AI/ML contexts. Previous experience as a Security Architect or senior security More ❯

looking for a Python Engineer to work directly with portfolio managers and traders in its front office team. This role is focused on delivering high-quality tools and data solutions to support fixed income trading and investment activity. This is a permanent position, based in London, offering a very competitive package. The Role: Build and maintain front office … applications in Python to support trading and decision-making. Collaborate closely with PMs and traders, translating business needs into technical solutions. Engineer and manage data pipelines using technologies such as MongoDB, Snowflake, and AWS (or other cloud platforms). Ensure scalable, reliable, and high-performance systems that directly impact trading outcomes. Requirements: Strong Python engineering skills. Direct front … office experience – working alongside PMs and traders. Exposure to fixed income products (bonds sufficient; no need for complex derivatives). Familiarity with data engineering tools and cloud platforms (MongoDB, Snowflake, AWS or similar). This is an excellent opportunity for a Python Engineer with front office fixed income experience to join a high-performing investment team, building tools More ❯

looking for a Python Engineer to work directly with portfolio managers and traders in its front office team. This role is focused on delivering high-quality tools and data solutions to support fixed income trading and investment activity. This is a permanent position, based in London, offering a very competitive package. The Role: Build and maintain front office … applications in Python to support trading and decision-making. Collaborate closely with PMs and traders, translating business needs into technical solutions. Engineer and manage data pipelines using technologies such as MongoDB, Snowflake, and AWS (or other cloud platforms). Ensure scalable, reliable, and high-performance systems that directly impact trading outcomes. Requirements: Strong Python engineering skills. Direct front … office experience – working alongside PMs and traders. Exposure to fixed income products (bonds sufficient; no need for complex derivatives). Familiarity with data engineering tools and cloud platforms (MongoDB, Snowflake, AWS or similar). This is an excellent opportunity for a Python Engineer with front office fixed income experience to join a high-performing investment team, building tools More ❯

production-grade AI systems and tools. The Role As a Python Developer, you’ll be a key part of our core engineering team, developing backend systems, APIs, and data pipelines that power our AI products. You’ll collaborate closely with machine learning engineers and DevOps to turn research ideas into robust, production-ready applications. This is a high … impact opportunity to shape the engineering foundations of a pioneering AI company. Responsibilities • Design, build, and maintain high-performance backend systems in Python • Develop and optimize APIs, data processing pipelines, and integration layers • Collaborate with ML engineers to deploy and scale AI models into production Requirements • 3–6 years of experience as a Python Developer/Software Engineer More ❯

production-grade AI systems and tools. The Role As a Python Developer, you’ll be a key part of our core engineering team, developing backend systems, APIs, and data pipelines that power our AI products. You’ll collaborate closely with machine learning engineers and DevOps to turn research ideas into robust, production-ready applications. This is a high … impact opportunity to shape the engineering foundations of a pioneering AI company. Responsibilities • Design, build, and maintain high-performance backend systems in Python • Develop and optimize APIs, data processing pipelines, and integration layers • Collaborate with ML engineers to deploy and scale AI models into production Requirements • 3–6 years of experience as a Python Developer/Software Engineer More ❯

Agentic AI — building systems where LLMs reason, act, and collaborate autonomously to drive real-world outcomes. As a Machine Learning Engineer , you’ll design the frameworks, tools, and data loops that allow intelligent agents to think, plan, and improve themselves — transforming raw model power into adaptive, high-performing AI systems. What You’ll Do: Build Agentic Systems – Develop … and execute multi-step tasks autonomously. Enhance LLM Reasoning – Apply reinforcement learning, tool use, and reflection techniques to strengthen decision-making and contextual understanding. Design Scalable Frameworks – Create data pipelines, annotation tools, and evaluation flywheels that accelerate model iteration and feedback loops. Collaborate with Research Teams – Translate experimental findings into production-grade systems that extend the autonomy and More ❯

Our client is a pioneering systematic hedge fund, redefining electronic trading through high-performance, data-driven solutions. As part of their Crypto desk, you'll join a cutting-edge team operating across centralised and decentralised markets, leveraging AI and ML to drive automation, enhance decision-making, and scale a fully automated global trading platform. This is a unique … scalable, real-time applications using deep learning and statistical techniques. Collaborate with Researchers and Traders to implement and optimise automated trading strategies. Integrate alternative datasets and build intelligent data pipelines to support research and execution. Monitor and manage the lifecycle of AI-driven systems in production environments. Requirements 6+ years of professional software development experience, ideally in a More ❯

and platform teams during privacy incidents or investigations. Provide technical insight during incident triage, root cause analysis, and remediation planning. Coach teams in privacy-preserving engineering practices, including data minimisation, anonymisation/pseudonymisation, and consent management. Cross-Functional Collaboration Collaborate with Product Owners, Architects, Security Engineers and Lega to ensure privacy compliance is aligned with business and technical … Architecture to embed privacy considerations early in design phases. Contribute to the continuous improvement of privacy engineering practices across the organisation. Experience Technical Expertise: Background in software or data engineering, with hands-on familiarity across data pipelines, APIs, SDKs, client/server tracking, consent tooling, and event-driven systems. Understanding of cloud environments, modern data … Regulatory Literacy: Working knowledge of GDPR, PECR and relevant regulatory guidance from authorities such as the ICO or EDPB. Capable of identifying potential compliance risks and escalating to Data Protection or Legal teams when appropriate. Agile & SAFe Proficiency: Experience embedding Non-Functional Requirements (NFRs) and Behaviour-Driven Development (BDD) practices within agile workflows. Comfortable participating in agile ceremonies More ❯

Equity Potential Really excited to be working with this high-growth InsurTech who are transforming how risk is traded in the commercial insurance market using bespoke forward thinking data methods. They’re building a smarter, data-driven exchange that connects brokers and insurers, and are now looking for a Senior Exposure Management Analyst to lead catastrophe … carriers to embed exposure insights into algorithmic underwriting and shape market best practices. Key Responsibilities: Design and implement exposure and accumulation frameworks Lead the development of model-ready data pipelines and reporting tools Collaborate with model vendors and internal teams to expand capabilities Guide pre- and post-cat event analysis and dynamic rule setting Act as the subject … in property (re)insurance (This is a must have requirement) Strong SQL and database skills Familiarity with GIS tools (QGIS, ArcGIS); Python preferred Proven ability to communicate complex data to technical and non-technical audiences In addition to a competitive salary (variable depending on experience level), the package includes a performance-based bonus and potential equity options. If More ❯

Equity Potential Really excited to be working with this high-growth InsurTech who are transforming how risk is traded in the commercial insurance market using bespoke forward thinking data methods. They’re building a smarter, data-driven exchange that connects brokers and insurers, and are now looking for a Senior Exposure Management Analyst to lead catastrophe … carriers to embed exposure insights into algorithmic underwriting and shape market best practices. Key Responsibilities: Design and implement exposure and accumulation frameworks Lead the development of model-ready data pipelines and reporting tools Collaborate with model vendors and internal teams to expand capabilities Guide pre- and post-cat event analysis and dynamic rule setting Act as the subject … in property (re)insurance (This is a must have requirement) Strong SQL and database skills Familiarity with GIS tools (QGIS, ArcGIS); Python preferred Proven ability to communicate complex data to technical and non-technical audiences In addition to a competitive salary (variable depending on experience level), the package includes a performance-based bonus and potential equity options. If More ❯

London - £130,000 - £160,000 + Excellent Benefits Overview: Our client, a global well known Trading Business are seeking an experienced Director of Backend Development to lead the Data Integration cluster team. This is a less hands-on, strategic leadership role suited to someone who thrives on people management, technical oversight, and delivery across complex backend/data systems. You’ll work across business units to ensure seamless integration, performance, and scalability. Role & Responsibilities: Lead and scale backend engineering teams focused on data integration and services. Align technical output with business goals, product roadmaps, and delivery timelines. Collaborate with architecture, platform, and data teams to ensure technical cohesion. Oversee team performance, hiring … years in backend or infrastructure engineering, with 5+ years in leadership roles. Experience managing multiple teams within high-growth tech or financial organisations. Strong understanding of distributed systems, data pipelines, and APIs. Familiarity with Python/Go, CI/CD, and cloud-native environments. Strategic mindset with strong leadership, communication, and mentoring skills. Experience in regulated industries (finance More ❯

London - £130,000 - £160,000 + Excellent Benefits Overview: Our client, a global well known Trading Business are seeking an experienced Director of Backend Development to lead the Data Integration cluster team. This is a less hands-on, strategic leadership role suited to someone who thrives on people management, technical oversight, and delivery across complex backend/data systems. You’ll work across business units to ensure seamless integration, performance, and scalability. Role & Responsibilities: Lead and scale backend engineering teams focused on data integration and services. Align technical output with business goals, product roadmaps, and delivery timelines. Collaborate with architecture, platform, and data teams to ensure technical cohesion. Oversee team performance, hiring … years in backend or infrastructure engineering, with 5+ years in leadership roles. Experience managing multiple teams within high-growth tech or financial organisations. Strong understanding of distributed systems, data pipelines, and APIs. Familiarity with Python/Go, CI/CD, and cloud-native environments. Strategic mindset with strong leadership, communication, and mentoring skills. Experience in regulated industries (finance More ❯

Integrate AI models into operational workflows Ensure reliability through fail-safes, self-healing, and fallback mechanisms Monitor & improve AI performance with feedback loops and observability tools Collaborate with Data Engineers to ensure AI has accurate, real-time data Implement human-in-the-loop systems where needed Skills and Qualifications Exceptional Python skills and experience with LLM … orchestration frameworks (e.g., DSPy, LangChain, or similar) Experience in AI-driven automation & orchestration in production environments Proven ability to optimise AI agents for reliability and efficiency Familiarity with data pipelines & integrations Interest in AI process automation & workflow design And ideally you... Thrive in fast-moving environments and work at a high pace Enjoy owning and solving problems, act More ❯

Integrate AI models into operational workflows Ensure reliability through fail-safes, self-healing, and fallback mechanisms Monitor & improve AI performance with feedback loops and observability tools Collaborate with Data Engineers to ensure AI has accurate, real-time data Implement human-in-the-loop systems where needed Skills and Qualifications Exceptional Python skills and experience with LLM … orchestration frameworks (e.g., DSPy, LangChain, or similar) Experience in AI-driven automation & orchestration in production environments Proven ability to optimise AI agents for reliability and efficiency Familiarity with data pipelines & integrations Interest in AI process automation & workflow design And ideally you... Thrive in fast-moving environments and work at a high pace Enjoy owning and solving problems, act More ❯

Manchester Initially 6 Month Contract - Extension Likely Start Date - As soon as possible We're looking for a talented AWS Solution Architect with strong expertise in cloud architecture, data solutions, and container orchestration. You’ll design scalable, secure systems and guide teams in leveraging AWS and AKS to deliver high-impact solutions. Key Responsibilities: Architect and implement AWS … cloud solutions with a focus on data pipelines and analytics Design and deploy containerized applications using AKS and Kubernetes Ensure best practices in cloud security, scalability, and performance Collaborate with cross-functional teams to translate business needs into technical solutions Skills & Experience: Proven experience with AWS services (EC2, S3, Lambda, RDS, etc.) Strong knowledge of data More ❯

Manchester Initially 6 Month Contract - Extension Likely Start Date - As soon as possible We're looking for a talented AWS Solution Architect with strong expertise in cloud architecture, data solutions, and container orchestration. You’ll design scalable, secure systems and guide teams in leveraging AWS and AKS to deliver high-impact solutions. Key Responsibilities: Architect and implement AWS … cloud solutions with a focus on data pipelines and analytics Design and deploy containerized applications using AKS and Kubernetes Ensure best practices in cloud security, scalability, and performance Collaborate with cross-functional teams to translate business needs into technical solutions Skills & Experience: Proven experience with AWS services (EC2, S3, Lambda, RDS, etc.) Strong knowledge of data More ❯

fit for an out and out python engineer who has moved into the AI space/tinkered within LLMs. The company are not looking for out and out data scientists/MLEs at this point in time) You’ll build back-end systems in Python that connect seamlessly with LLMs, data pipelines, and modern microservices. Now More ❯

fit for an out and out python engineer who has moved into the AI space/tinkered within LLMs. The company are not looking for out and out data scientists/MLEs at this point in time) You’ll build back-end systems in Python that connect seamlessly with LLMs, data pipelines, and modern microservices. Now More ❯