51 to 75 of 108 Data Ingestion Jobs in Central London

Business Product Owner, Data Analytics, Azure, Data Engineering, AI, ML, Azure, Mainly Remote Product Owner (Technical and Business) required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe and the States on occasions. We need someone who has worked on LARGE … and SIGNIFICANT products for large enterprise businesses. If you have come from the Big 4 on the Professional Services circuit, even better! The platform primarily serves two key personas: Data and Intelligence Delivery specialists, who manage data ingestion, transformation, and orchestration processes, and Assurance professionals, who use the analysers to enhance audit quality and client service. This … being said, we need DATA HEAVY Product Owners who have managed complex, Global products. Read on for more details Experience required: Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management:Demonstrated expertise More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate … across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads … and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate … across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads … and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate … across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads … and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate … across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads … and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version More ❯

We are looking for Data Engineers suitable for a group of world-class investment and trading firms that are actively expanding their data engineering functions. Each environment is highly technical, research-driven, and deeply data-centric — offering the opportunity to work on systems and pipelines that directly influence investment decisions. These positions sit within core data teams, responsible for building and maintaining the infrastructure that underpins everything from quantitative research to real-time trading and analytics. You’ll work closely with developers, data scientists, and researchers to ensure clean, accurate, and reliable data is available across the business. This is a fantastic opportunity for early-career engineers (1–5 years’ experience) who want … to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and More ❯

We are looking for Data Engineers suitable for a group of world-class investment and trading firms that are actively expanding their data engineering functions. Each environment is highly technical, research-driven, and deeply data-centric — offering the opportunity to work on systems and pipelines that directly influence investment decisions. These positions sit within core data teams, responsible for building and maintaining the infrastructure that underpins everything from quantitative research to real-time trading and analytics. You’ll work closely with developers, data scientists, and researchers to ensure clean, accurate, and reliable data is available across the business. This is a fantastic opportunity for early-career engineers (1–5 years’ experience) who want … to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and More ❯

/day Inside IR35 | Hybrid London (23 Days Office) A hands-on ClickHouse Engineer is required for a leading Energy Trading House undertaking a major transformation of its data platform migrating from traditional SQL-based systems to ClickHouse . This client operates across physical and financial energy markets, with a strong focus on analytics, optimisation, and real-time data processing to support trading and risk decisions. This role will focus on designing, building, and optimising the new ClickHouse data architecture , ensuring scalability, performance, and integration with existing trading systems. Youll play a key role in refactoring existing SQL pipelines, enhancing data models, and implementing best practices for high-volume, low-latency data operations. This system … get into the industry if you have the right tech. ClickHouse is the silver bullet here - other acceptable alternatives are SingleStore, Rockset, TimescaleDB Key Responsibilities: Design and implement scalable data solutions within ClickHouse . Migrate existing SQL data models, ETL pipelines, and reporting layers to ClickHouse. Optimise query performance, data ingestion, and storage for high-frequency More ❯

/day Inside IR35 | Hybrid London (2–3 Days Office) A hands-on ClickHouse Engineer is required for a leading Energy Trading House undertaking a major transformation of its data platform — migrating from traditional SQL-based systems to ClickHouse . This client operates across physical and financial energy markets, with a strong focus on analytics, optimisation, and real-time … data processing to support trading and risk decisions. This role will focus on designing, building, and optimising the new ClickHouse data architecture , ensuring scalability, performance, and integration with existing trading systems. You’ll play a key role in refactoring existing SQL pipelines, enhancing data models, and implementing best practices for high-volume, low-latency data operations. … get into the industry if you have the right tech. 🌟 ClickHouse is the silver bullet here - other acceptable alternatives are SingleStore, Rockset, TimescaleDB Key Responsibilities: Design and implement scalable data solutions within ClickHouse . Migrate existing SQL data models, ETL pipelines, and reporting layers to ClickHouse. Optimise query performance, data ingestion, and storage for high-frequency More ❯

We are looking for Software Engineers with a strong foundation in API development and C# to join our data engineering team in a highly regulated industry. In this role, youll be instrumental in designing and building scalable, secure software systems that support seamless data movement between internal systems, third-party platforms, and cloud services. Your core focus will … be developing and maintaining APIs and backend services that enable data ingestion, transformation, and delivery across our enterprise architecture. Youll collaborate with cross functional teams to ensure data is available where and when its neededreliably, efficiently, and in compliance with strict regulatory standards. Were seeking candidates with over 5 years of relevant experience, a solid understanding of … software system design, and a strong command of C# and modern API development patterns. A background in working with data systems, cloud integrations, and secure, large-scale applications will be highly advantageous. Core Responsibilities: Design, develop, and maintain scalable APIs and backend services to facilitate data flow between systems. Collaborate with data engineers, architects, and security teams More ❯

We are looking for Software Engineers with a strong foundation in API development and C# to join our data engineering team in a highly regulated industry. In this role, you’ll be instrumental in designing and building scalable, secure software systems that support seamless data movement between internal systems, third-party platforms, and cloud services. Your core focus … will be developing and maintaining APIs and backend services that enable data ingestion, transformation, and delivery across our enterprise architecture. You’ll collaborate with cross functional teams to ensure data is available where and when it’s needed—reliably, efficiently, and in compliance with strict regulatory standards. We’re seeking candidates with over 5 years of relevant … experience, a solid understanding of software system design, and a strong command of C# and modern API development patterns. A background in working with data systems, cloud integrations, and secure, large-scale applications will be highly advantageous. Core Responsibilities: •Design, develop, and maintain scalable APIs and backend services to facilitate data flow between systems. •Collaborate with data More ❯

days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data More ❯

days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data More ❯

Senior Quantexa Data Engineer Base Location: London, Canary Wharf or could be based at any one of our network of 20 offices nationally, but will require travel to client sites throughout the UK: https://kpmg.com/uk/en/about/offices.html The KPMG Technology + Data function is a cornerstone of our business. We … communities – supporting technical innovation and adoption of cutting-edge solutions across the United Kingdom. Working on complex engagements including working closely with clients to design, implement, and manage scalable data solutions, this team is responsible for the delivery of cutting-edge technical solutions and trusted to get it right first time. KPMG is one of the world's largest … war and peace, prosperity and recession, political and regulatory upheaval. We've proudly stood beside the institutions and businesses which make the UK what it is. Why Join KPMG Data in our Quantexa Engineering team: Our Data & AI practice is a dynamic and rapidly growing capability, delivering data-driven solutions that generate measurable impact for our clients. More ❯

Senior Quantexa Data Engineer Base Location: London, Canary Wharf or could be based at any one of our network of 20 offices nationally, but will require travel to client sites throughout the UK: https://kpmg.com/uk/en/about/offices.html The KPMG Technology + Data function is a cornerstone of our business. We … communities supporting technical innovation and adoption of cutting-edge solutions across the United Kingdom. Working on complex engagements including working closely with clients to design, implement, and manage scalable data solutions, this team is responsible for the delivery of cutting-edge technical solutions and trusted to get it right first time. KPMG is one of the world's largest … war and peace, prosperity and recession, political and regulatory upheaval. We've proudly stood beside the institutions and businesses which make the UK what it is. Why Join KPMG Data in our Quantexa Engineering team: Our Data & AI practice is a dynamic and rapidly growing capability, delivering data-driven solutions that generate measurable impact for our clients. More ❯

Data Scientist - Finance/Investments London – 5 days in office Up to £120,000 + Strong Bonus Potential About the Role We are working with a leading hedge fund and alternative investment firm, specialising in global macro strategies with a particular emphasis on inflation modelling and the wider economic landscape. They are looking for a Data Scientist to … cutting edge of time-series forecasting within a fast-paced and intellectually rigorous environment. Key Responsibilities Building machine learning models, with a focus on time-series forecasting. Collaborating with data scientists and researchers to productionise models. Managing both cloud-based and on-premise infrastructure. Ensuring reliability and scalability of ML systems in production. What We’re Looking For 3+ … years of experience in Data Science. Strong proficiency in Python and experience with ML libraries/frameworks (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Hands-on experience implementing end-to-end ML pipelines (data ingestion, training, validation, serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc. More ❯

organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role We are looking for a skilled Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will work … closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. Key Responsibilities: Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather requirements … and translate them into technical specifications. Perform data ingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and reliability. Write clean, maintainable, and well-documented code. Participate in code reviews, design discussions, and agile ceremonies. Implement data quality and governance best practices. Stay updated with emerging technologies and More ❯

organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role We are looking for a skilled Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will work … closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. Key Responsibilities: Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather requirements … and translate them into technical specifications. Perform data ingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and reliability. Write clean, maintainable, and well-documented code. Participate in code reviews, design discussions, and agile ceremonies. Implement data quality and governance best practices. Stay updated with emerging technologies and More ❯

and a progressive work environment. As a KDB+/Q Software Engineer, you will play a pivotal role in the firm's operations, working on the greenfield development of data intensive applications. This position offers a unique opportunity to join a dynamic team of professionals in an intellectually stimulating environment. Benefits: Exceptional professional growth opportunities in a tech-focused … balance and reimbursement programs. Rapid career progression and exposure to diverse technologies. Collaboration with top-tier infrastructure teams in the financial sector. Responsibilities: Build and maintain high-performance tick data storage systems using kdb+/q to efficiently store and retrieve large volumes of market data (e.g., trades, quotes, order books). Optimize schema design and partitioning strategies … to support low-latency queries across historical and real-time data. Implement real-time data ingestion and processing pipelines for market data Ensure data integrity, latency minimization, and fault tolerance in streaming environments using q and kdb+ capabilities. Collaborate with quantitative researchers to develop research tools, backtesting frameworks, and analytics in q. Provide fast-access APIs More ❯

and a progressive work environment. As a KDB+/Q Software Engineer, you will play a pivotal role in the firm's operations, working on the greenfield development of data intensive applications. This position offers a unique opportunity to join a dynamic team of professionals in an intellectually stimulating environment. Benefits: Exceptional professional growth opportunities in a tech-focused … balance and reimbursement programs. Rapid career progression and exposure to diverse technologies. Collaboration with top-tier infrastructure teams in the financial sector. Responsibilities: Build and maintain high-performance tick data storage systems using kdb+/q to efficiently store and retrieve large volumes of market data (e.g., trades, quotes, order books). Optimize schema design and partitioning strategies … to support low-latency queries across historical and real-time data. Implement real-time data ingestion and processing pipelines for market data Ensure data integrity, latency minimization, and fault tolerance in streaming environments using q and kdb+ capabilities. Collaborate with quantitative researchers to develop research tools, backtesting frameworks, and analytics in q. Provide fast-access APIs More ❯

About the Role You'll lead the data support function for the Portfolio Manager Support team in London, working alongside global counterparts in the US. The team is responsible for ingesting, transforming, and maintaining datasets used across the investment lifecycle, with a strong focus on automation, process improvement, and user experience. This is a hybrid role combining technical oversight … stakeholder management, and hands-on problem-solving. You'll interface directly with PMs, analysts, and engineers - ensuring data flows smoothly, requests are handled efficiently, and the team delivers consistent, high-quality support. Key Responsibilities Lead and mentor a team of data analysts supporting front office users across asset classes Oversee data ingestion, transformation, and delivery workflows … Python, SQL, and cloud-native tools Manage service levels and expectations across a fast-paced, high-demand environment Collaborate with infrastructure and engineering teams to ensure seamless integration of data and systems Act as a point of escalation for complex data issues and drive root cause analysis Work with data vendors (e.g., Bloomberg, FactSet, Refinitiv) to manage More ❯

About the Role You'll lead the data support function for the Portfolio Manager Support team in London, working alongside global counterparts in the US. The team is responsible for ingesting, transforming, and maintaining datasets used across the investment lifecycle, with a strong focus on automation, process improvement, and user experience. This is a hybrid role combining technical oversight … stakeholder management, and hands-on problem-solving. You'll interface directly with PMs, analysts, and engineers - ensuring data flows smoothly, requests are handled efficiently, and the team delivers consistent, high-quality support. Key Responsibilities Lead and mentor a team of data analysts supporting front office users across asset classes Oversee data ingestion, transformation, and delivery workflows … Python, SQL, and cloud-native tools Manage service levels and expectations across a fast-paced, high-demand environment Collaborate with infrastructure and engineering teams to ensure seamless integration of data and systems Act as a point of escalation for complex data issues and drive root cause analysis Work with data vendors (e.g., Bloomberg, FactSet, Refinitiv) to manage More ❯

Avaloq Software Engineer to join our Wealth Practice in the UK. In this role, you'll play a key part in designing, developing, and maintaining high-quality software and data structures to support our evolving data platforms. You'll collaborate across teams to support data migration, cleansing, enrichment, scripting, and reconciliationensuring we deliver reliable and scalable solutions. … Responsibilities Your expertise in Avaloq technologies, database management, and software developmentcombined with a solid understanding of the Avaloq Enterprise-Wide Object Modelwill be critical in shaping and enhancing our data capabilities. This is a fantastic opportunity to bring your passion for innovation into a fast-paced, dynamic environment where your impact will be tangible. Skills Must have You will … have between 5+ years experience working as an Avaloq Developer. Mapping physical data from Avaloq and other platforms to the Enterprise Data Model, ensuring adherence to reference data standards and clear conceptual definitions. Experience with external API integration. Reviewing and optimizing Avaloq APDM outcomes, defining treatment strategies, and improving system performance. Integrating the Avaloq APDM with external More ❯

Avaloq Software Engineer to join our Wealth Practice in the UK. In this role, you'll play a key part in designing, developing, and maintaining high-quality software and data structures to support our evolving data platforms. You'll collaborate across teams to support data migration, cleansing, enrichment, scripting, and reconciliation—ensuring we deliver reliable and scalable … expertise in Avaloq technologies, database management, and software development—combined with a solid understanding of the Avaloq Enterprise-Wide Object Model—will be critical in shaping and enhancing our data capabilities. This is a fantastic opportunity to bring your passion for innovation into a fast-paced, dynamic environment where your impact will be tangible. Skills Must have You will … have between 5+ years experience working as an Avaloq Developer. Mapping physical data from Avaloq and other platforms to the Enterprise Data Model, ensuring adherence to reference data standards and clear conceptual definitions. Experience with external API integration. Reviewing and optimizing Avaloq APDM outcomes, defining treatment strategies, and improving system performance. Integrating the Avaloq APDM with external More ❯

Customer Implementation Consultant SaaS/Data/Onboarding London (Hybrid, 3 days onsite) Are you the kind of person who gets a buzz from turning complexity into clarity the one who joins a messy customer onboarding process and just makes it work ? This is a chance to join a small but fast-growing tech-for-good startup thats building … smart, data-driven products making a real-world impact. Theyve scaled rapidly over the past year and are now looking for someone to take full ownership of customer onboarding and implementation - making sure new clients see value quickly and stay long term. Theyre hiring a Customer Implementation Consultant - part technical problem-solver, part customer champion to bridge the gap … deliver - this is worth a look. What youll be doing Owning the full customer onboarding and implementation process Working directly with client technical teams to integrate and activate their data Troubleshooting data ingestion, compatibility, and configuration issues Tracking progress and maintaining close communication through the first months post-sale Joining late-stage sales calls to clarify technical More ❯