226 to 250 of 307 Data Engineering Jobs in London

Data Engineer | Python | SQL | AWS | ELT/ETL | PowerBI | Tableau Data Analytics Engineer - Up to £70,000 + Bonus Fully-remote role Method Resourcing are very excited to be partnering with a disruptive and rapidly scaling start-up who are urgently looking for an accomplished Data Engineer to join their growing team! This is a fantastic opportunity … to join a highly technical team and work on a variety of data projects focused on a modern data stack. You will be taking a leading role on directing the Data Engineering function of the business. To be considered for this role you should be able to demonstrate experience in the following areas: Proven experience as … a Data Engineer working on end to end projects AWS expertise Python and SQL fluency Strong dashboarding experience - PowerBI, Looker, Tableau etc Experience interacting with a variety of stakeholders, both technical, and non-technical The role is paying up to £70,000 + Bonus and is offered on a fully-remote basis to candidates based in the UK with More ❯

of developing Snowflake-focused intellectual property, including best practices, accelerators, reusable frameworks, and reference architecturesStrengthen our Snowflake partnership by leveraging technical credibility to build trusted relationships with architecture and engineering stakeholders at SnowflakeProvide technical assurance on delivery projects, ensuring that all solutions adhere to established Snowflake implementation best practicesContribute to pre-sales activities by shaping proposals, supporting client workshops … and meetings, publishing thought leadership content, and participating in industry eventsAct as a technical advisor to clients, helping to define data strategies and solution blueprints that fully utilize Snowflake's capabilitiesInvestigate opportunities to leverage Snowflake's app development features (e.g., Snowpark, Native Apps) and integrations (e.g., Streamlit) to create new business offerings and co-developed IPPartner with colleagues across … our Core and Applied Practices to design and bring to market repeatable Snowflake-based solutionsSkills & Experience:Extensive experience designing and delivering Snowflake solutions, including Snowpipe, Streams & Tasks, Data Sharing, Native Apps, Snowpark, Data Clean Rooms, and CortexProven expertise in optimising Snowflake performance and cost efficiency, with SnowPro Core and Advanced certificationsSkilled in software engineering practices with experience More ❯

digital analytics capability, creating a brand-new vertical for revenue management. With reporting still heavily manual in the UK market, the company is investing in building a modern, scalable data infrastructure - and they're looking for a contractor to help lay the foundations. THE ROLE As a Contract Analytics Engineer, you'll play a pivotal role in setting up … the data warehouse and enabling self-serve reporting for the business. Your responsibilities will include: Supporting the design of the data model in Redshift. Implementing a Medallion architecture (bronze, silver, gold). Using DBT to model data, configure tables, and set up tests (including unit testing). Creating a data mart and star schema for financial … and revenue reporting. Advising on orchestration best practices using Airflow. Optimising data pipelines for downstream BI tools (Power BI/Looker). This role won't require building from scratch, but you'll need a solid understanding of incremental loads and strong problem-solving ability to structure data efficiently. Success will be measured by the delivery of a More ❯

of Products and Applications - Competition & Markets Authority - G6 Belfast, Cardiff, Edinburgh, London, Manchester About the job Job summary The Competition and Markets Authority has established an Executive Directorate for Data, Technology, and Insight (DTI), which encompasses our expertise in data science, data engineering, artificial intelligence, behavioural science, technology insight, and digital forensics, as well as technology More ❯

Technical Delivery Lead - GCP Location: London 3 days a week/Leeds 2 days a month Employment Type: Fixed Term Contract OR Umbrella Contract Business Unit: Banking/Data Management A global data and AI-driven transformation company is seeking an experienced Technical Delivery Lead to oversee the delivery of a scalable, enterprise-grade data platform on … coordinating cross-functional teams and aligning technology initiatives with business outcomes. Role Overview The Technical Delivery Lead will manage the end-to-end delivery life cycle of GCP-based data initiatives. This includes orchestrating teams, managing dependencies, and ensuring alignment with modern data principles and cloud best practices. The role emphasises leadership, stakeholder engagement, and proactive risk management … rather than hands-on engineering. Key Responsibilities Lead delivery of GCP-based data platform projects, ensuring strategic alignment and timely execution Coordinate cross-functional teams including data engineers, architects, QA, and DevOps Manage project phases from design through deployment, maintaining delivery velocity and quality Facilitate retrospectives and feedback sessions to drive continuous improvement Collaborate with architects to evolve More ❯

Technical Delivery Lead - GCP Location: London 3 days a week/Leeds 2 days a month Employment Type: Fixed Term Contract OR Umbrella Contract Business Unit: Banking/Data Management A global data and AI-driven transformation company is seeking an experienced Technical Delivery Lead to oversee the delivery of a scalable, enterprise-grade data platform on … coordinating cross-functional teams and aligning technology initiatives with business outcomes. Role Overview The Technical Delivery Lead will manage the end-to-end delivery life cycle of GCP-based data initiatives. This includes orchestrating teams, managing dependencies, and ensuring alignment with modern data principles and cloud best practices. The role emphasises leadership, stakeholder engagement, and proactive risk management … rather than hands-on engineering. Key Responsibilities Lead delivery of GCP-based data platform projects, ensuring strategic alignment and timely execution Coordinate cross-functional teams including data engineers, architects, QA, and DevOps Manage project phases from design through deployment, maintaining delivery velocity and quality Facilitate retrospectives and feedback sessions to drive continuous improvement Collaborate with architects to evolve More ❯

Senior Data Engineer – AI & Neuroscience Location: London (Hybrid, Kings Cross) or San Francisco (Onsite/Hybrid) Employment: Full-time About the Company We are partnered with a pioneering biotech building the world’s first brain foundation models — large-scale AI systems designed to deeply understand, protect, and enhance the human brain. By generating our own data, developing novel … with direct influence on the technical systems that will underpin scientific and clinical breakthroughs. The work is ambitious, interdisciplinary, and sits at the cutting edge of AI, biology, and data engineering. The Role We are seeking a Senior Data Engineer to lead the design and scaling of the company’s core data infrastructure. You will be responsible … Your work will provide the backbone for training next-generation AI models, enabling researchers to extract real-world insights from raw biological data. Key Responsibilities Design and implement distributed data pipelines for multi-omic, neuroscience, and clinical datasets Build a unified feature store to serve ML training and downstream biological analysis Develop scalable storage, ingestion, and validation systems with More ❯

Senior Data Engineer – AI & Neuroscience Location: London (Hybrid, Kings Cross) or San Francisco (Onsite/Hybrid) Employment: Full-time About the Company We are partnered with a pioneering biotech building the world’s first brain foundation models — large-scale AI systems designed to deeply understand, protect, and enhance the human brain. By generating our own data, developing novel … with direct influence on the technical systems that will underpin scientific and clinical breakthroughs. The work is ambitious, interdisciplinary, and sits at the cutting edge of AI, biology, and data engineering. The Role We are seeking a Senior Data Engineer to lead the design and scaling of the company’s core data infrastructure. You will be responsible … Your work will provide the backbone for training next-generation AI models, enabling researchers to extract real-world insights from raw biological data. Key Responsibilities Design and implement distributed data pipelines for multi-omic, neuroscience, and clinical datasets Build a unified feature store to serve ML training and downstream biological analysis Develop scalable storage, ingestion, and validation systems with More ❯

leading consultancy working with an end client in the banking and financial services sector is seeking an experienced Technical Delivery Lead to oversee the delivery of a large-scale data platform built on Google Cloud Platform (GCP) . This role requires proven experience delivering cloud-based data solutions within banking environments , with a strong understanding of regulatory frameworks … data governance, and stakeholder engagement in financial settings. Key Responsibilities Lead end-to-end delivery of GCP-based data platform initiatives. Coordinate cross-functional teams across data engineering, architecture, QA, and DevOps. Ensure alignment with Agile, DevOps, and CI/CD best practices. Manage stakeholder expectations and proactively mitigate delivery risks. Support architecture evolution and ensure … compliance with banking governance standards. Ideal Candidate 10+ years in technology delivery, with 3+ years leading cloud data projects (GCP preferred). Must have experience delivering data platforms in banking or financial services. Strong knowledge of GCP services (BigQuery, Dataflow, Pub/Sub). Familiarity with ETL/ELT, data lakehouse architectures, and cloud integration. Excellent leadership More ❯

Key Responsibilities Design and build high-performance tools and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure. Develop platform-level test solutions and automation frameworks using Python, Terraform, and modern cloud-native practices. Contribute to the platform’s CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks at … every stage. Lead initiatives that drive testability, platform resilience, and validation as code across all layers of the ML platform stack. Collaborate with engineering, MLOps, and infrastructure teams to embed quality engineering deeply into platform components. Build reusable components that support scalability, modularity, and self-service quality tooling. Mentor junior engineers and influence technical standards across the Test … Engineering Program. Required Qualifications Bachelor’s or master’s degree in computer science, Engineering, or a related technical field. 8+ years of hands-on software development experience, including large-scale backend systems or platform engineering. Expert in Python with a strong understanding of object-oriented programming, testing frameworks, and automation libraries. Experience building or validating platform infrastructure, with More ❯

Job title: Data Engineer Client: Award Winning FinTech Firm Rate: Up to £725 p/d Duration: 6-Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw data into trusted, usable assets - the foundation for everything from executive dashboards to product innovation. Own the data flow from ingestion to insight - using modern tools like Python, Azure, and Databricks. What you need: 7+ years of hands-on experience in data engineering roles. Advanced skills in Python for data pipelines, transformation, and orchestration. Deep understanding … of the Azure ecosystem (e.g., Data Factory, Blob Storage, Synapse, etc.) Proficiency in Databricks (or strong equivalent experience with Apache Spark ). Proven ability to work within enterprise-level environments with a focus on clean, scalable, and secure data solutions. If you are the right fit - contact me directly at bbirch@hunterbond.com More ❯

Job title: Data Engineer Client: Award Winning FinTech Firm Rate: Up to £725 p/d Duration: 6-Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw data into trusted, usable assets - the foundation for everything from executive dashboards to product innovation. Own the data flow from ingestion to insight - using modern tools like Python, Azure, and Databricks. What you need: 7+ years of hands-on experience in data engineering roles. Advanced skills in Python for data pipelines, transformation, and orchestration. Deep understanding … of the Azure ecosystem (e.g., Data Factory, Blob Storage, Synapse, etc.) Proficiency in Databricks (or strong equivalent experience with Apache Spark ). Proven ability to work within enterprise-level environments with a focus on clean, scalable, and secure data solutions. If you are the right fit - contact me directly at bbirch@hunterbond.com More ❯

Job title: Data Engineer Client: Award Winning FinTech Firm Rate: Up to £725 p/d Duration: 6-Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw data into trusted, usable assets - the foundation for everything from executive dashboards to product innovation. Own the data flow from ingestion to insight - using modern tools like Python, Azure, and Databricks. What you need: 7+ years of hands-on experience in data engineering roles. Advanced skills in Python for data pipelines, transformation, and orchestration. Deep understanding … of the Azure ecosystem (e.g., Data Factory, Blob Storage, Synapse, etc.) Proficiency in Databricks (or strong equivalent experience with Apache Spark ). Proven ability to work within enterprise-level environments with a focus on clean, scalable, and secure data solutions. If you are the right fit - contact me directly at bbirch@hunterbond.com More ❯

Job title: Data Engineer Client: Award Winning FinTech Firm Rate: Up to £725 p/d Duration: 6-Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw data into trusted, usable assets - the foundation for everything from executive dashboards to product innovation. Own the data flow from ingestion to insight - using modern tools like Python, Azure, and Databricks. What you need: 7+ years of hands-on experience in data engineering roles. Advanced skills in Python for data pipelines, transformation, and orchestration. Deep understanding … of the Azure ecosystem (e.g., Data Factory, Blob Storage, Synapse, etc.) Proficiency in Databricks (or strong equivalent experience with Apache Spark ). Proven ability to work within enterprise-level environments with a focus on clean, scalable, and secure data solutions. If you are the right fit - contact me directly at bbirch@hunterbond.com More ❯

for a Senior Backend Developer to join their award-winning Insurance division. As part of a mixed technical team including back-end developers, testers, front-end developers and actuarial data scientists, you d be working on their market-leading insurance application, used by some of the largest London Market and International insurers to assess over £200bn in reserves. Your … to design Driving better integration between their C# and Python codebases, rewriting and restructuring code where needed to improve cohesion Address any performance bottlenecks and optimise performance of complex data workflows Championing best practice and guiding the junior team members What they re specifically looking for: C# development experience (.Net 8) with production-level proficiency Data engineering data-intensive application experience Python Azure PaaS/SaaS tools (eg. Azure Functions, App Services, Batch, Blob/Table/Queue Storage) Excellent problem-solving skills Why join them: It s an entrepreneurial environment pushing the boundaries, harnessing technology to enable more efficient analytics. A true people-first employer where you ll be supported to learn and develop More ❯

for a Senior Backend Developer to join their award-winning Insurance division. As part of a mixed technical team including back-end developers, testers, front-end developers and actuarial data scientists, you’d be working on their market-leading insurance application, used by some of the largest London Market and International insurers to assess over £200bn in reserves. Your … to design Driving better integration between their C# and Python codebases, rewriting and restructuring code where needed to improve cohesion Address any performance bottlenecks and optimise performance of complex data workflows Championing best practice and guiding the junior team members What they’re specifically looking for: C# development experience (.Net 8) with production-level proficiency Data engineering – data-intensive application experience Python Azure PaaS/SaaS tools (eg. Azure Functions, App Services, Batch, Blob/Table/Queue Storage) Excellent problem-solving skills Why join them: It’s an entrepreneurial environment pushing the boundaries, harnessing technology to enable more efficient analytics. A true people-first employer where you’ll be supported to learn and develop More ❯

Company Description Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Gold partner and Cloud Services partner, specialising in end-to-end transformation. As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Our highly skilled team … and confidence Working directly with clients to understand their business strategy, programme requirements & processes Demonstrating the future state solution enactment of the articulated programme strategy in the context of data and analytics & related applications and technologies Utilising specialist knowledge of analytics, data warehousing and data engineering to support the development and expansion of the solution footprint More ❯

cross-product integration Shape the Future: we are positioned to define the next generation of intelligent digital interaction across global brands The Role We are seeking an exceptional Staff Data Scientist who will architect and technically lead projects dedicated to pushing the boundaries of AI-driven digital experiences. In this pivotal role, you will guide the development of cutting … in this order of relevanceGitHub, Docker, GitHub Actions, Terraform, KubernetesPandas, PySpark and SparkVertex AI, Azure OpenAI for LLMs Job Responsibilities Lead the execution of projects in a high-performing data science team, fostering professional growth and creating an inclusive and collaborative environment Architect and design scalable machine learning systems that solve complex challenges Develop and execute the data science team's strategic roadmap, managing complex projects from conception to deployment Make high-impact technical decisions and provide guidance Establish best practices in software engineering and machine learning development Implement rigorous code quality and testing standards across data science projects Support talent acquisition and continuous learning initiatives Knowledge and Experience Knowledge of ML model development and More ❯

of geographically diversified software engineers responsible to develop scalable solutions by working directly with product development team. Our team culture is oriented towards equality in the realm of software engineering irrespective of hierarchy promoting innovation. One should feel empowered to iterate over ideas and experimentation without being afraid of failure. Responsibilities and Impact You will enable S&P ratings … business to provide best in class end-to-end analytical, commercial and customer experience by building feature rich solutions including big data engineering, analytics, business intelligence and workflow capabilities. The ideal candidate thrives in a highly technical role and will design and develop software using cutting edge technologies consisting of web applications, data pipelines, big data … etc.) Experience in DevOps development and deployment using containers. Domain knowledge in Financial Industry and Capital Markets is a plus. Bachelor's degree in computer science, Information Systems or Engineering is required, or in lieu, a demonstrated equivalence in work experience. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable More ❯

engineering. Introduce and manage observability, monitoring, and evaluation frameworks for ML and AI services. Enable auto-evaluation of prompts and models against domain-specific requirements. Build Python-based microservices, data pipelines, and serverless functions. Collaborate with stakeholders to translate data and AI requirements into scalable solutions. Essential Experience & Skills 5+ years' engineering experience, with at least … years in ML Ops, Data Engineering, or AI infrastructure. Strong Python engineering skills (Pandas, Numpy, Jupyter, FastAPI, SQLAlchemy). Expertise in AWS services (certification desirable). Proven experience deploying and supporting LLMs in production. Strong understanding of LLM fine-tuning (PyTorch, TensorFlow, Hugging Face Trainer, etc.). Experience with ML tooling (e.g. SageMaker, LangChain/LangSmith, MLflow … interest in Generative AI trends and best practices. Desired Skills Experience with chatbots and conversational AI (voice or text). Familiarity with Terraform, Helm, Kubernetes, or Postgres. Exposure to Data Science, NLP, Explainable AI (XAI). Real-world delivery of Generative AI solutions, especially LLM-driven applications. *Rates depend on experience and client requirements More ❯

on digital application management and managing a team to deliver enhancements and future automation based on business needs. Duties will include: - Managing internal team of Low Code Developer and Data Engineer - Working with 3rd party vendors and internal team to deliver low-code applications and data warehousing across the Microsoft Power Platform - Gathering user and business requirements - Change … management and chairing CAB - Improving efficiency through automating solutions - Oversee system enhancements and software upgrades - Oversee data engineering process - ETL/ELT pipelines with Azure Data Factory - Drive development of Snowflake Data Warehouse - Digital roadmap development - IT projects To be considered suitable you will need the following skills/experience: - Understanding of the Microsoft Power Platform More ❯

New vacancies for talented Data Scientists to join a one-of-a-kind biotech start up in West London, with state of the art labs and offices in West London (W12) . Working at the very cutting edge of life sciences, the Data Scientists will get the opportnuity to handle and analyse a diverse range of scientific data … Jupyter, Python, and associated libraries. Work with scientists to understand experimental goals and tailor analyses accordingly. Document analyses and communicate findings in a clear, concise manner. Collaborate with the data engineering team to maintain good data hygiene and integration. Essential Requirements Proficiency in Python for data analysis (pandas, NumPy, matplotlib/seaborn). Solid foundation in … outputs (e.g. plots, dashboards). Comfortable working in Jupyter Notebooks and collaborating with experimental teams. A degree (BSc or MSc) in a quantitative field such as Biology, Bioinformatics, Statistics, Data Science, or related discipline. There is an excellent salary and benefits package on offer in addition to hybrid working. Bond Williams Professional Recruitment are an equal opportunity employer and More ❯

will be part of a collaborative, high-performing team that values technical excellence, an ownership mindset, and humility. The ideal candidate is an experienced engineer with strong Python skills, data engineering expertise, and comfort working in fast-paced trading environments. Key Responsibilities Building and maintaining resilient treasury systems for trading, liquidity management, and funding operations using Python as … the core language Engaging directly with traders and treasury stakeholders during live market situations, rapidly understanding requirements and delivering solutions on the fly Designing, managing, and optimizing data pipelines for real-time and historical treasury data with focus on accuracy, reliability, and performance Contributing to deployment, monitoring, and scaling of systems while working with operations teams to ensure … uptime and quick incident response Key Requirements 5-15 years of professional experience in software engineering, ideally in front office finance , fintech , high-frequency trading , or technology-driven startups Expert-level Python skills - designing, debugging, and optimizing complex applications Very strong data capabilities with Pandas , NumPy , SQL , real-time data processing, and ETL Familiarity with DevOps practices More ❯

solo. This is a highly autonomous role, perfect for someone who thrives on building, managing, and continuously improving the systems that keep a fast-moving business running smoothly. From data pipelines to automation workflows, you will ensure every technical aspect of the business operates efficiently and strategically. Responsibilities: Own all technology systems and processes across the business. Design, build … and maintain data pipelines integrating POS, kitchen operations, labor, and inventory systems. Develop and manage dashboards and reporting tools for leadership and operations. Build and maintain low/no-code automation workflows to streamline operations. Manage API integrations between platforms. Identify, recommend, and implement new tech solutions that drive efficiency and growth. Ensure data accuracy, availability, security, and … compliance. Partner with leadership to shape the company's tech and data strategy. Experience: Proven experience in data engineering, analytics, and reporting (SQL, Google BigQuery, Power BI, Looker, Tableau). Strong capability with API integrations and low/no-code tools (n8n, Zapier, Airtable, Make). Broad technical problem-solving skills, able to implement the right tool More ❯

Data Engineer | Python | SQL | AWS | ELT/ETL | PowerBI | Tableau Analytical Engineer - Up to £70,000 + Bonus Fully-remote role Method Resourcing are very excited to be partnering with a disruptive and rapidly scaling start-up who are urgently looking for an accomplished Data Engineer to join their growing team! This is a fantastic opportunity to join … a highly technical team and work on a variety of data projects focused on a modern data stack. You will be taking a leading role on directing the Data Engineering function of the business. To be considered for this role you should be able to demonstrate experience in the following areas: Proven experience as an Engineer … working on Data modelling AWS expertise SQL fluency Strong dashboarding experience - PowerBI, Looker, Tableau etc Experience interacting with a variety of stakeholders, both technical, and non-technical The role is paying up to £70,000 + Bonus and is offered on a fully-remote basis to candidates based in the UK with full rights to work. Please apply now More ❯