676 to 700 of 768 Remote Data Engineering Jobs

in the financial services sector? We’re hiring AI Engineers to join a global organisation undergoing major digital transformation. You’ll work on real-world automation, machine learning, and data-driven strategy initiatives that power critical functions across a large-scale financial environment. About the Role As an AI Engineer, you’ll design, build, and deploy AI and automation … solutions that modernise business processes, enhance decision-making, and drive operational efficiency. You’ll collaborate with cross-functional teams—including business strategy, operations, and engineering—to translate complex problems into scalable AI systems. This is a fantastic opportunity for someone who wants to grow in a high-performance environment and solve meaningful challenges within a regulated financial ecosystem. Key … Responsibilities ✅ Develop and deploy machine learning models and automation workflows ✅ Build data pipelines and integrate models into business systems ✅ Analyse financial and operational datasets to uncover insights ✅ Work with stakeholders to translate business needs into AI solutions ✅ Collaborate on AI governance, compliance, and model lifecycle management ✅ Optimise existing models for performance, reliability, and accuracy ✅ Contribute to digital transformation initiatives More ❯

SQL Analyst, CDP & CRM Segmentation London based – hybrid working – 3 days on site 3-6 Month contract – Inside IR35 We’re standing up a Customer Data Platform (CDP) and need a hands-on SQL analyst to tighten audience segmentation, productionise segmentation logic in the warehouse, and push curated traits into Braze so CRM can operate campaigns without overloading the … data team. What you’ll do Own audience & trait definition Translate CRM/Marketing objectives into precise, reusable audience and trait specs Build and maintain warehouse-first segmentation tables/views with clear SLOs and documentation. Ship reliable data to Braze Design pipelines to push curated traits and audiences to Braze , including change-data capture and dependency … Braze counts vs. warehouse truth to ensure high confidence. Unblock campaign operations Create a self-serve library of SQL snippets, views, so CRM can launch campaigns without ad-hoc data requests. Implement suppression logic (deliverability, compliance, frequency caps) and guardrails. Partner across teams Work closely with Data Engineering, CRM, BI and Product to align event/identity More ❯

SQL Analyst, CDP & CRM Segmentation London based – hybrid working – 3 days on site 3-6 Month contract – Inside IR35 We’re standing up a Customer Data Platform (CDP) and need a hands-on SQL analyst to tighten audience segmentation, productionise segmentation logic in the warehouse, and push curated traits into Braze so CRM can operate campaigns without overloading the … data team. What you’ll do Own audience & trait definition Translate CRM/Marketing objectives into precise, reusable audience and trait specs Build and maintain warehouse-first segmentation tables/views with clear SLOs and documentation. Ship reliable data to Braze Design pipelines to push curated traits and audiences to Braze , including change-data capture and dependency … Braze counts vs. warehouse truth to ensure high confidence. Unblock campaign operations Create a self-serve library of SQL snippets, views, so CRM can launch campaigns without ad-hoc data requests. Implement suppression logic (deliverability, compliance, frequency caps) and guardrails. Partner across teams Work closely with Data Engineering, CRM, BI and Product to align event/identity More ❯

SQL Analyst, CDP & CRM Segmentation London based - hybrid working - 3 days on site 3-6 Month contract - Inside IR35 We're standing up a Customer Data Platform (CDP) and need a hands-on SQL analyst to tighten audience segmentation, productionise segmentation logic in the warehouse, and push curated traits into Braze so CRM can operate campaigns without overloading the … data team. What you'll do Own audience & trait definition Translate CRM/Marketing objectives into precise, reusable audience and trait specs Build and maintain warehouse-first segmentation tables/views with clear SLOs and documentation. Ship reliable data to Braze Design pipelines to push curated traits and audiences to Braze , including change-data capture and dependency … Braze counts vs. warehouse truth to ensure high confidence. Unblock campaign operations Create a self-serve library of SQL snippets, views, so CRM can launch campaigns without ad-hoc data requests. Implement suppression logic (deliverability, compliance, frequency caps) and guardrails. Partner across teams Work closely with Data Engineering, CRM, BI and Product to align event/identity More ❯

SQL Analyst, CDP & CRM Segmentation London based – hybrid working – 3 days on site 3-6 Month contract – Inside IR35 We’re standing up a Customer Data Platform (CDP) and need a hands-on SQL analyst to tighten audience segmentation, productionise segmentation logic in the warehouse, and push curated traits into Braze so CRM can operate campaigns without overloading the … data team. What you’ll do Own audience & trait definition Translate CRM/Marketing objectives into precise, reusable audience and trait specs Build and maintain warehouse-first segmentation tables/views with clear SLOs and documentation. Ship reliable data to Braze Design pipelines to push curated traits and audiences to Braze , including change-data capture and dependency … Braze counts vs. warehouse truth to ensure high confidence. Unblock campaign operations Create a self-serve library of SQL snippets, views, so CRM can launch campaigns without ad-hoc data requests. Implement suppression logic (deliverability, compliance, frequency caps) and guardrails. Partner across teams Work closely with Data Engineering, CRM, BI and Product to align event/identity More ❯

SQL Analyst, CDP & CRM Segmentation London based – hybrid working – 3 days on site 3-6 Month contract – Inside IR35 We’re standing up a Customer Data Platform (CDP) and need a hands-on SQL analyst to tighten audience segmentation, productionise segmentation logic in the warehouse, and push curated traits into Braze so CRM can operate campaigns without overloading the … data team. What you’ll do Own audience & trait definition Translate CRM/Marketing objectives into precise, reusable audience and trait specs Build and maintain warehouse-first segmentation tables/views with clear SLOs and documentation. Ship reliable data to Braze Design pipelines to push curated traits and audiences to Braze , including change-data capture and dependency … Braze counts vs. warehouse truth to ensure high confidence. Unblock campaign operations Create a self-serve library of SQL snippets, views, so CRM can launch campaigns without ad-hoc data requests. Implement suppression logic (deliverability, compliance, frequency caps) and guardrails. Partner across teams Work closely with Data Engineering, CRM, BI and Product to align event/identity More ❯

SQL Analyst, CDP & CRM Segmentation London based – hybrid working – 3 days on site 3-6 Month contract – Inside IR35 We’re standing up a Customer Data Platform (CDP) and need a hands-on SQL analyst to tighten audience segmentation, productionise segmentation logic in the warehouse, and push curated traits into Braze so CRM can operate campaigns without overloading the … data team. What you’ll do Own audience & trait definition Translate CRM/Marketing objectives into precise, reusable audience and trait specs Build and maintain warehouse-first segmentation tables/views with clear SLOs and documentation. Ship reliable data to Braze Design pipelines to push curated traits and audiences to Braze , including change-data capture and dependency … Braze counts vs. warehouse truth to ensure high confidence. Unblock campaign operations Create a self-serve library of SQL snippets, views, so CRM can launch campaigns without ad-hoc data requests. Implement suppression logic (deliverability, compliance, frequency caps) and guardrails. Partner across teams Work closely with Data Engineering, CRM, BI and Product to align event/identity More ❯

A rapidly growing B2B SaaS company is looking for a Forward Deployed Data Engineer to join their expanding team in London (hybrid working - 2-3 days a week in their vibrant Soho office). logy and delivery - adapting and deploying the platform for new clients, building custom data pipelines, and creating scalable AI workflows that bring real business … impact. What you'll do: Deploy and customise a powerful data platform for global clients Build and optimise pipelines using PySpark, Python, and SQL Design scalable AI workflows with tools like Palantir Collaborate with client teams to deliver data-driven outcomes What we're looking for: 2-4 years' experience in data engineering or analytics Hands More ❯

A rapidly growing B2B SaaS company is looking for a Forward Deployed Data Engineer to join their expanding team in London (hybrid working - 2-3 days a week in their vibrant Soho office). logy and delivery - adapting and deploying the platform for new clients, building custom data pipelines, and creating scalable AI workflows that bring real business … impact. What you'll do: Deploy and customise a powerful data platform for global clients Build and optimise pipelines using PySpark, Python, and SQL Design scalable AI workflows with tools like Palantir Collaborate with client teams to deliver data-driven outcomes What we're looking for: 2-4 years' experience in data engineering or analytics Hands More ❯

IBM i (iSeries) System Administrator/Data Engineer Location Hemel Hempstead Hybrid 4 in office/1 home Role Overview We are seeking a Technical Specialist IBM i (iSeries) System Administrator/Data Engineer to take ownership of administering IBM iSeries environments while also driving forward key digital IT initiatives. This dual-role position blends hands-on system … administration with data engineering and project delivery, ensuring business needs are met with robust, scalable, and future-ready solutions. Working closely with corporate stakeholders, divisional experts, and third-party IT vendors, the Specialist will ensure IBM iSeries environments are optimised for performance, availability, and resilience, while also contributing to wider IT transformation projects. Key Responsibilities IBM i (iSeries … System Administration Administer and support IBM iSeries systems, ensuring optimal performance, availability, and reliability , including out-of-hours (OOH) support . Manage and execute regular data refreshes to maintain data integrity and accuracy across environments. Develop, maintain, and enhance CL and RPG programmes to automate processes and improve system functionality. Produce and maintain comprehensive documentation covering configurations, procedures More ❯

Join to apply for the Solutions Architect - Databricks role at Lumenalta . We partner with global enterprises to launch digital products that interact with millions of users and massive data volumes. Our work requires scalable architecture, creative problem solving, and seamless platform integration. What You'll Do Design scalable, secure, and high performance data architectures Translate business requirements … teams on best practices for building with PySpark, AWS, and Databricks Collaborate with cross functional teams to align architecture with product goals Own architectural decisions across cloud infrastructure and data pipelines What We're Looking For 8+ years of experience in data engineering, architecture, or related roles Deep expertise with AWS, Databricks, and PySpark Strong Python and … no set deadline; we're always excited to connect with professionals who want to help us build the future. Seniority Level Director Employment Type Full-time Job Function Consulting, Engineering, and Strategy/Planning Industries IT Services and IT Consulting, Software Development, and IT System Custom Software Development Referrals increase your chances of interviewing at Lumenalta by 2x. More ❯

seeking a Senior Engineer with strong software experience and ambition to grow and develop their career. Responsibilities: Design and implement scalable, secure backend services to support a high-availability, data-driven SaaS platform operating in a regulated industry. Work primarily with Python to build microservices, automation tools, and backend logic, leveraging its rich ecosystem for data processing, compliance … workflows, and API development. Collaborate with cross-functional teams including product, DevOps, and data engineering to deliver end-to-end functionality that meets regulatory and business requirements. Leverage modern cloud services (AWS, Azure, or GCP) to deploy, monitor, and scale distributed systems in production environments. Establish and uphold engineering best practices, including CI/CD pipelines, automated … testing, and peer code reviews, to ensure code quality, reliability, and auditability. Mentor and guide junior engineers, providing technical leadership and helping shape the team’s engineering culture and standards. Experience: Minimum 5 years’ experience working as a software developer in a commercial environment. Strong python programming experience. Experience of managing teams. Ability to effectively share knowledge of development More ❯

seeking a Senior Engineer with strong software experience and ambition to grow and develop their career. Responsibilities: Design and implement scalable, secure backend services to support a high-availability, data-driven SaaS platform operating in a regulated industry. Work primarily with Python to build microservices, automation tools, and backend logic, leveraging its rich ecosystem for data processing, compliance … workflows, and API development. Collaborate with cross-functional teams including product, DevOps, and data engineering to deliver end-to-end functionality that meets regulatory and business requirements. Leverage modern cloud services (AWS, Azure, or GCP) to deploy, monitor, and scale distributed systems in production environments. Establish and uphold engineering best practices, including CI/CD pipelines, automated … testing, and peer code reviews, to ensure code quality, reliability, and auditability. Mentor and guide junior engineers, providing technical leadership and helping shape the team’s engineering culture and standards. Experience: Minimum 5 years’ experience working as a software developer in a commercial environment. Strong python programming experience. Experience of managing teams. Ability to effectively share knowledge of development More ❯

seeking a Senior Engineer with strong software experience and ambition to grow and develop their career. Responsibilities: Design and implement scalable, secure backend services to support a high-availability, data-driven SaaS platform operating in a regulated industry. Work primarily with Python to build microservices, automation tools, and backend logic, leveraging its rich ecosystem for data processing, compliance … workflows, and API development. Collaborate with cross-functional teams including product, DevOps, and data engineering to deliver end-to-end functionality that meets regulatory and business requirements. Leverage modern cloud services (AWS, Azure, or GCP) to deploy, monitor, and scale distributed systems in production environments. Establish and uphold engineering best practices, including CI/CD pipelines, automated … testing, and peer code reviews, to ensure code quality, reliability, and auditability. Mentor and guide junior engineers, providing technical leadership and helping shape the team’s engineering culture and standards. Experience: Minimum 5 years’ experience working as a software developer in a commercial environment. Strong python programming experience. Experience of managing teams. Ability to effectively share knowledge of development More ❯

Senior Data Engineer Location: Trowbridge (Hybrid, 2 days in office) Salary: £70,000 Be part of a forward-thinking data and analytics team shaping the future of our client's operations across the UK, Ireland, and North America. This is a fantastic opportunity to lead data infrastructure projects, including a major cloud migration to Azure, and support … strategic analytics initiatives for both B2C and B2B businesses. Key Responsibilities: Manage and optimize cloud-based data infrastructure (Azure). Lead the migration of data environments to Azure. Maintain high-quality, secure data pipelines with a strong focus on governance. Mentor and support a Data Engineer apprentice. Collaborate across teams to enhance reporting, analytics, and business … intelligence solutions. What You Bring: 5+ years of experience in SQL production environments and data engineering. Strong expertise in SQL, T-SQL, Azure, DataBricks, and SSIS. Experience with data integration, modeling, and performance optimization. Problem-solving mindset and a collaborative approach. Desirable: Experience handling data from APIs and secure protocols. Familiarity with visualization tools (Tableau preferred). More ❯

Senior Data Engineer Location: Trowbridge (Hybrid, 2 days in office) Salary: £70,000 Be part of a forward-thinking data and analytics team shaping the future of our client's operations across the UK, Ireland, and North America. This is a fantastic opportunity to lead data infrastructure projects, including a major cloud migration to Azure, and support … strategic analytics initiatives for both B2C and B2B businesses. Key Responsibilities: Manage and optimize cloud-based data infrastructure (Azure). Lead the migration of data environments to Azure. Maintain high-quality, secure data pipelines with a strong focus on governance. Mentor and support a Data Engineer apprentice. Collaborate across teams to enhance reporting, analytics, and business … intelligence solutions. What You Bring: 5+ years of experience in SQL production environments and data engineering. Strong expertise in SQL, T-SQL, Azure, DataBricks, and SSIS. Experience with data integration, modeling, and performance optimization. Problem-solving mindset and a collaborative approach. Desirable: Experience handling data from APIs and secure protocols. Familiarity with visualization tools (Tableau preferred). More ❯

excellence. About Us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine … learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in various industries and we value collaboration and a vibrant office community. With our hybrid approach, we prioritize hiring individuals near our central offices in Bristol and London to foster belonging. Responsibilities Partner with customers to deeply understand their needs, translating challenges into actionable … plans for technical teams. Lead Agile teams in delivering cloud-native, data-driven solutions and innovative software products. Proactively identify and address challenges, dependencies, and risks, ensuring smooth delivery and alignment with customer goals. Facilitate clear, effective communication between technical teams, stakeholders, and customers, ensuring transparency and shared understanding. Build and maintain strong, trusted relationships with customers, acting as More ❯

be passionate about cloud technologies, automation and CI/CD and will relish the challenge of building and maintaining robust architecture designed to support near real time analytics, advanced data science and critical operational projects reliant on data. This role requires that you work closely with technology and business stakeholders and translate business data needs to technical requirements … design and implementation. Location: Hybrid- 3 days a week from our London, UK office & 2 days working from homeReporting to: Staff Data Engineering These are some of the key ingredients to the role: Implement a secure and well tested Google Cloud Platform (GCP) using Infrastructure as Code Implement and maintain auto-scaling & auto-healing Kubernetes clusters in GKE … bonus points for knowledge of AWS. In particular knowledge of infrastructure management ( VPC, Subnets, IAM, VPN, DNS, etc ) and other managed services like CloudFunctions, CloudRun, etc Experience with GCP data services , BigQuery, Datastream, Dataflow, Cloud Storage will be appreciated Scripting and programming experience in particular Bash, Python or other programming languages. Experience with Docker for generating containers and managing More ❯

we deliver innovative development programmes that help businesses thrive and individuals grow. We work in partnerships with organisations across the UK to upskill and reskill talent in Sales, Marketing, Data, AI, Tech, Cyber Security and Digital Learning. Our mission is to empower people with skills that drive real business impact. We combine expert coaching and training, high quality learning … quality assurance, and design of apprenticeship curricula for Level 3 and Level 4 AI programmes. You will ensure our programmes reflect the latest advancements in artificial intelligence, machine learning, data science, and related technologies. You will act as a subject matter expert, supporting sales enablement and commercial growth, and embedding innovation and measurable impact for learners, employers, and Apprentify … from concept to delivery, ensuring alignment with apprenticeship standards, EPA requirements, and quality benchmarks. Integrate advanced AI specialisms, including machine learning, deep learning, natural language processing, computer vision, and data engineering, into curriculum content. Ensure curriculum covers practical skills in Python, TensorFlow, PyTorch, cloud AI platforms (Azure, AWS, GCP), and ethical AI practices. Monitor sector and regulatory trends More ❯

we deliver innovative development programmes that help businesses thrive and individuals grow. We work in partnerships with organisations across the UK to upskill and reskill talent in Sales, Marketing, Data, AI, Tech, Cyber Security and Digital Learning. Our mission is to empower people with skills that drive real business impact. We combine expert coaching and training, high quality learning … quality assurance, and design of apprenticeship curricula for Level 3 and Level 4 AI programmes. You will ensure our programmes reflect the latest advancements in artificial intelligence, machine learning, data science, and related technologies. You will act as a subject matter expert, supporting sales enablement and commercial growth, and embedding innovation and measurable impact for learners, employers, and Apprentify … from concept to delivery, ensuring alignment with apprenticeship standards, EPA requirements, and quality benchmarks. Integrate advanced AI specialisms, including machine learning, deep learning, natural language processing, computer vision, and data engineering, into curriculum content. Ensure curriculum covers practical skills in Python, TensorFlow, PyTorch, cloud AI platforms (Azure, AWS, GCP), and ethical AI practices. Monitor sector and regulatory trends More ❯

Title: AI Architect Talent Assessment and Capability Evaluation Location: Hybrid (London/Paris) Preferred Role Summary The AI Architect will play a key role in evaluating organizational AI and data talent readiness. This role focuses on assessing technical capability , designing evaluation frameworks , and identifying readiness gaps across multiple AI and data teams. The architect will define what good … ecosystems, and the ability to translate complex technical knowledge into clear evaluation criteria and insights. Key Responsibilities Capability Framework Design: Develop and refine the assessment framework for AI and data technical roles including architecture, MLOps, and applied AI functions. Question and Exercise Creation: Design technical and scenario-based questions to assess AI understanding, solution design ability, and architectural thinking. … and architectural capability maturity. Advisory Role: Provide thought leadership on AI architecture principles, tooling ecosystems, and governance relevant to enterprise AI scaling. Qualifications 8+ years of experience in AI, data engineering, or software architecture with exposure to enterprise AI ecosystems. Strong grasp of AI system design principles (data pipelines, model lifecycle, orchestration, governance) even if not hands More ❯

Title: AI Architect – Talent Assessment and Capability Evaluation Location: Hybrid (London/Paris) Preferred Role Summary The AI Architect will play a key role in evaluating organizational AI and data talent readiness. This role focuses on assessing technical capability , designing evaluation frameworks , and identifying readiness gaps across multiple AI and data teams. The architect will define what “good … ecosystems, and the ability to translate complex technical knowledge into clear evaluation criteria and insights. Key Responsibilities • Capability Framework Design: Develop and refine the assessment framework for AI and data technical roles — including architecture, MLOps, and applied AI functions. • Question and Exercise Creation: Design technical and scenario-based questions to assess AI understanding, solution design ability, and architectural thinking. … and architectural capability maturity. • Advisory Role: Provide thought leadership on AI architecture principles, tooling ecosystems, and governance relevant to enterprise AI scaling. Qualifications • 8+ years of experience in AI, data engineering, or software architecture with exposure to enterprise AI ecosystems. • Strong grasp of AI system design principles (data pipelines, model lifecycle, orchestration, governance) even if not hands More ❯

Title: AI Architect – Talent Assessment and Capability Evaluation Location: Hybrid (London/Paris) Preferred Role Summary The AI Architect will play a key role in evaluating organizational AI and data talent readiness. This role focuses on assessing technical capability , designing evaluation frameworks , and identifying readiness gaps across multiple AI and data teams. The architect will define what “good … ecosystems, and the ability to translate complex technical knowledge into clear evaluation criteria and insights. Key Responsibilities • Capability Framework Design: Develop and refine the assessment framework for AI and data technical roles — including architecture, MLOps, and applied AI functions. • Question and Exercise Creation: Design technical and scenario-based questions to assess AI understanding, solution design ability, and architectural thinking. … and architectural capability maturity. • Advisory Role: Provide thought leadership on AI architecture principles, tooling ecosystems, and governance relevant to enterprise AI scaling. Qualifications • 8+ years of experience in AI, data engineering, or software architecture with exposure to enterprise AI ecosystems. • Strong grasp of AI system design principles (data pipelines, model lifecycle, orchestration, governance) even if not hands More ❯

Title: AI Architect - Talent Assessment and Capability Evaluation Location: Hybrid (London/Paris) Preferred Role Summary The AI Architect will play a key role in evaluating organizational AI and data talent readiness. This role focuses on assessing technical capability , designing evaluation frameworks , and identifying readiness gaps across multiple AI and data teams. The architect will define what "good … ecosystems, and the ability to translate complex technical knowledge into clear evaluation criteria and insights. Key Responsibilities • Capability Framework Design: Develop and refine the assessment framework for AI and data technical roles - including architecture, MLOps, and applied AI functions. • Question and Exercise Creation: Design technical and scenario-based questions to assess AI understanding, solution design ability, and architectural thinking. … and architectural capability maturity. • Advisory Role: Provide thought leadership on AI architecture principles, tooling ecosystems, and governance relevant to enterprise AI scaling. Qualifications • 8+ years of experience in AI, data engineering, or software architecture with exposure to enterprise AI ecosystems. • Strong grasp of AI system design principles (data pipelines, model lifecycle, orchestration, governance) even if not hands More ❯

Title: AI Architect – Talent Assessment and Capability Evaluation Location: Hybrid (London/Paris) Preferred Role Summary The AI Architect will play a key role in evaluating organizational AI and data talent readiness. This role focuses on assessing technical capability , designing evaluation frameworks , and identifying readiness gaps across multiple AI and data teams. The architect will define what “good … ecosystems, and the ability to translate complex technical knowledge into clear evaluation criteria and insights. Key Responsibilities • Capability Framework Design: Develop and refine the assessment framework for AI and data technical roles — including architecture, MLOps, and applied AI functions. • Question and Exercise Creation: Design technical and scenario-based questions to assess AI understanding, solution design ability, and architectural thinking. … and architectural capability maturity. • Advisory Role: Provide thought leadership on AI architecture principles, tooling ecosystems, and governance relevant to enterprise AI scaling. Qualifications • 8+ years of experience in AI, data engineering, or software architecture with exposure to enterprise AI ecosystems. • Strong grasp of AI system design principles (data pipelines, model lifecycle, orchestration, governance) even if not hands More ❯