276 to 300 of 382 Data Ingestion Jobs in England

Job Description This role is focused on advancing systematic investing through quantitative research and robust data solutions. Key responsibilities include: Data Ingestion & Cleansing: Developing pipelines to integrate and clean data. Data Analysis: Applying statistical techniques to uncover actionable insights. Data Infrastructure: Maintaining automated systems for data collection and retrieval. Candidates should have strong skills … in SQL and Python, experience in data science (ideally with a quantitative advanced degree), and an ability to communicate complex findings effectively. While similar to a Data Analyst, this position demands deeper technical expertise, a focus on financial data, and a blend of data engineering and quantitative research skills. #J-18808-Ljbffr More ❯

Farmweb, allowing us to scale by leveraging our combined financial strength and importantly ensure our people feel the benefits of our joint capabilities. We are currently recruiting for a Data Integration Lead to join our established and experienced CIO team here at RSA on a hybrid basis. Your Role The Data Platform Integration Lead is accountable for data ingestion from OnPrem and cloud sources into Azure based Enterprise data platform. Acting as the primary steward, Integration lead manages ingestion workstream delivery. Provides low level technical planning, oversight and team leadership. You will Document data integration processes, including pipeline designs, configurations, and troubleshooting guides. You will Coordinate with infrastructure teams to ensure proper connectivity … between on-premises systems and Azure cloud environments. The role will require you to stay updated on Azure Data Factory and Databricks features and recommend enhancements to improve ingestion workflows. There will also be an element of Troubleshooting and resolving pipeline failures, minimizing downtime and ensuring data availability. About You You have a Proven track record in More ❯

Join JPMorgan Chase's Chief Data & Analytics Office (CDAO) and be part of a mission to modernize compliance through scalable and explainable AI. As a Machine Learning Engineer, you'll design and build systems that answer critical data usage questions with prediction, logic, proof, and intelligent automation. Work at the intersection of applied machine learning, AI reasoning systems … and data governance to tackle complex problems and build ML solutions that make decisions. As a Machine Learning Engineer within JPMorgan Chase's Chief Data & Analytics Office (CDAO), you will design and build systems that answer critical data usage questions with prediction, logic, proof, and intelligent automation. You will work at the intersection of applied machine learning … AI reasoning systems, and data governance to tackle complex problems and build ML solutions that make decisions. You will build and integrate ML models into structured backend services, write production-ready Python code, and assist in building automated workflows. You will collaborate with VP engineers and cross-functional partners to understand requirements and execute implementation. Your role involves participating More ❯

edge generative AI models designed to power Superbowl-worthy commercials and award-winning cinematic experiences. Our inaugural, cutting-edge HD model, Marey, is built on exclusively licensed and owned data for professional use in Hollywood and enterprise applications. Our team is an unprecedented convergence of talent across industries. Our elite AI scientists from DeepMind, Microsoft, Snap, and Meta have … raised over $70M from world-class investors including General Catalyst, Bessemer, Khosla Ventures, and YCombinator – and we’re just getting started. Role Summary: We're looking for an ML Data Engineer to build the data pipelines driving our next-generation generative video models. This role is central to our mission of training models exclusively on clean, high-quality … data. You'll develop data ingestion pipelines, captioning systems, and high-throughput, distributed architectures for large-scale data processing and curation. You’ll be responsible for solving some of the toughest challenges in data quality and model performance — from training and shipping quality scoring models to analyzing large-scale datasets and uncovering new challenges. What you More ❯

Check you match the skill requirements for this role, as well as associated experience, then apply with your CV below. Join JPMorgan Chase's Chief Data & Analytics Office (CDAO) and be part of a mission to modernize compliance through scalable and explainable AI. As a Machine Learning Engineer, you'll design and build systems that answer critical data usage questions with prediction, logic, proof, and intelligent automation. Work at the intersection of applied machine learning, AI reasoning systems, and data governance to tackle complex problems and build ML solutions that make decisions. As a Machine Learning Engineer within JPMorgan Chase's Chief Data & Analytics Office (CDAO), you will design and build systems that answer critical … data usage questions with prediction, logic, proof, and intelligent automation. You will work at the intersection of applied machine learning, AI reasoning systems, and data governance to tackle complex problems and build ML solutions that make decisions. You will build and integrate ML models into structured backend services, write production-ready Python code, and assist in building automated More ❯

Software Development Engineer, Analytics & Data Management, Advertising Core Services Would you like to build highly available, scalable and distributed microservices for the Advertising Data Lake? Does Petabyte scale excite you? The Spektr team owns the central data lake for Advertising, with services for data ingestion, analysis, cataloging and infrastructure. Spektr provides customers with self-serve … tools to analyze Petabytes of data such as campaigns, ad-serving, billing, clicks, impressions and more generated across the Ads pipeline. This enables engineers, business analysts, ML engineers, research scientists, economists and data experts to perform analysis, measurement and reporting decisions over high quality data. Spektr Datalake team is building the next version of its core platform for … 5x growth. An SDE on this team has a unique opportunity to design the core infra services to scale for Petabytes of data per day with 99.9% uptime, minimal error rates and low operational footprint. Services built by you will utilize technologies such as Java, AWS Lambda, Kinesis, Spark, Redis, EMR, Athena and more to build highly distributed data More ❯

Job title: Solution Architect Location: Leeds, UK (Hybrid- 3 days/week) Type: Contract Client: Wipro Job description As part of the CTO Data Ingestion Service, the incumbent will be required to: Designing and architecting scalable, real-time systems in Kafka, with a focus on on-premise Cloudera open source Kafka and disaster recovery aspects. Configuring, deploying, and … maintaining Kafka clusters to ensure high availability, resiliency, and scalability, including understanding and explaining features like KRAFT. Integrating Kafka with other data processing tools and platforms such as Kafka Streams, Kafka Connect, Spark Streaming, Schema Registry, Flink, and Beam. Collaborating with cross-functional teams to understand data requirements and design solutions that meet business needs. Implementing security measures … to protect Kafka clusters and data streams. Monitoring Kafka performance, troubleshooting issues, and enhancing disaster recovery strategies. Providing technical guidance and support to development operations teams. Staying updated with the latest Kafka features, industry practices, and real-time technologies like Spark. Mandatory keywords: Experience with on-premise/cloudera open source Kafka Focus on disaster recovery aspects Knowledge of More ❯

SC Clearance required Overview: We are seeking an experienced Graph Engineer to join a long-term project with a major UK organisation. The role involves working with complex, connected data environments, transforming raw data into graph models to support critical decision-making. The successful candidate will design and implement labelled property graphs, write Cypher queries, and ideally have … experience with Hume for graph visualisation and analysis. Key Responsibilities: Design and implement graph data models using Neo4j Build pipelines to transform and enrich structured and unstructured data into graph schemas Write complex Cypher queries to support analysis and visualisations Collaborate with analysts, data scientists, and engineers to define graph use cases Support data ingestion … visual graph dashboards and workflows, especially if familiar with Hume Requirements: Active SC clearance Strong experience with Neo4j and Cypher Experience with labelled property graphs Solid understanding of graph data modelling and data transformation Experience integrating data from multiple sources Familiarity with Hume or similar graph intelligence platforms is a plus Comfortable working in agile and data More ❯

vendor in the growing people analytics space. Working in Customer Success, we are seeking an analyst with a People Analytics background to support our growing customer base through their data integration, analytics and insights journey. Responsibilities Intake, triage, and execute tier 1 troubleshooting and reporting of One Model application and data modeling issues across a portfolio of customers … Coordinate internally with Data and System Engineers to troubleshoot and identify data integrity, data quality, and application issues. Support a variety of ongoing customers HR data ingestion and transformation needs through: Communicate externally, intake, and review of new data integration and modeling requests across One Model customer base and systems, including the gathering of … foundational requirements from the customer (e.g., dimension changes, new data fields, changes to data field business logic, etc.) One Model Data source configuration, ingestion, and transformation Monitor and troubleshoot basic integration, data source and load issues and requests Communicate with and advise customers on application functionality to best need their identified business goals. Provide standardized More ❯

and traders to develop tools and systems that support real-time investment decisions. You'll be responsible for building and maintaining the full analytics stack - from ingesting and transforming data to delivering clean, responsive front-end applications. The role offers strong exposure to trading workflows and a chance to make a direct impact on portfolio management. Key responsibilities: Optimise … and extend core back-end systems that support continuous, high-availability analytics Design and implement data pipelines to clean, normalise, and structure financial datasets Build responsive, informative front-end tools using React to support decision-making on the trading desk Collaborate with Portfolio Managers to scope and deliver high-impact tools and applications Manage data ingestion from … multiple sources, ensuring consistency, accuracy, and performance Requirements: 1-2+ years of professional experience in a software development role Strong proficiency in Python, including data libraries such as pandas, numpy and scipy Experience building front-end applications in React or a similar framework Solid understanding of modern software engineering practices and clean code principles Comfortable working in a More ❯

We are data insight experts, empowering clients to own, manage and rule their data. One of our specialisations is in cybersecurity consultancy offering end-to-end SIEM services, helping clients design, deploy, and optimise security monitoring and threat detection solutions. Our team provides comprehensive support across all stages of SIEM implementation, from initial strategy and solution design to deployment … integration with client systems and optimizing for effective threat detection and real-time monitoring. Perform hands-on configuration and tuning of SIEM components, setting up alerting, custom dashboards, and data ingestion as needed to support client-specific use cases. Support clients in deploying SIEM in hybrid environments, including on-premises, cloud, and multi-cloud platforms, integrating cloud-native … and adapt to evolving threat landscapes. Advisory & Compliance: Advise clients on aligning SIEM deployments with security frameworks and compliance requirements, including GDPR, HIPAA, and PCI DSS. Provide guidance on data strategies for security monitoring, such as data persistence and streaming for long-term analysis and real-time detection. Assist clients in implementing data retention policies and optimising More ❯

are used by the world's most advanced government agencies and businesses, enabling them to go further, faster, and deeper into the dark web. Our proprietary technology provides actionable data that was previously unobtainable; delivering insights, situational awareness and sense-making helping our customers keep ahead. Our mission is simple - protect society from the threats contained within the dark … end components, and integrating user-facing elements in collaboration with front-end developers. The role of a Python developer is a broad one for us, covering the discovery and ingestion of new data, through to how it is managed and analyzed inside our products. We're looking for both experienced and junior developers, and are mostly looking for … you should possess in-depth knowledge of object-relational mapping, experience with server-side logic, and above-average knowledge of Python programming. WHAT WILL I DO? Produce and maintain data harvesting tools in Python Implementing web-scraping tools Maintaining existing infrastructure and services, covering Python, Elastic Search, Docker, Kubernetes and more Developing prototype products in line with new technical More ❯

Manage the implementation of software releases and updates for Jack Henry systems, including testing, deployment, and coordination with stakeholders. Provide expert-level support for SQL Server environments related to data ingestion, extraction, optimization, and backup. Create accurate and timely system reports, ensuring data integrity and reliability. As needed, perform hands-on technical work as a Core Systems … support issue resolution. Consistently meet assigned project deadlines and goals. Maintain strong attention to detail in high-pressure situations. Create accurate and timely reports from Credit Union systems, ensuring data validity. Collaborate with business units, vendors and technical staff to achieve business results. Excellent interpersonal and communications skills with both technical and non-technical staff Strong analytical skills Performs … transitions through meticulous planning, rigorous testing, and effective coordination with cross-functional teams. Proven expertise in executing system failovers and disaster recovery drills, minimizing risk of outages and protecting data integrity essential for continuous banking operations. Skilled in managing SQL Database Servers, with a focus on data ingestion, extraction, query optimization, and performing backups, which supports robust More ❯

geographic data. The Technology Stack Our platform is built using: Frontend : Vue.js for responsive, interactive user interfaces Backend : Node.js with Express framework Database : PostgreSQL with PostGIS extensions for spatial data management GIS : Modern geospatial libraries and mapping technologies Key Responsibilities Backend Development Design and implement robust APIs for geospatial data processing and visualisation Optimise database queries and spatial … operations using PostgreSQL and PostGIS Build scalable microservices architecture to handle large datasets Implement data ingestion pipelines for various GIS formats (GeoJSON, Shapefiles, etc.) Ensure optimal performance for complex spatial queries and real-time data updates Quality Assurance & Testing Develop comprehensive testing strategies including unit, integration, and end-to-end tests Implement automated testing pipelines using modern … and implement performance testing for geospatial operations Technical Leadership Take ownership of backend architecture and drive technical decisions Collaborate with frontend-focused team members to optimise API design and data flow Lead architectural discussions and technical planning for backend systems Code review and establish backend coding standards and best practices Contribute to technical documentation and development guidelines Technical Skills More ❯

geographic data. The Technology Stack Our platform is built using: Frontend : Vue.js for responsive, interactive user interfaces Backend : Node.js with Express framework Database : PostgreSQL with PostGIS extensions for spatial data management GIS : Modern geospatial libraries and mapping technologies Key Responsibilities Backend Development Design and implement robust APIs for geospatial data processing and visualisation Optimise database queries and spatial … operations using PostgreSQL and PostGIS Build scalable microservices architecture to handle large datasets Implement data ingestion pipelines for various GIS formats (GeoJSON, Shapefiles, etc.) Ensure optimal performance for complex spatial queries and real-time data updates Quality Assurance & Testing Develop comprehensive testing strategies including unit, integration, and end-to-end tests Implement automated testing pipelines using modern … and implement performance testing for geospatial operations Technical Leadership Take ownership of backend architecture and drive technical decisions Collaborate with frontend-focused team members to optimise API design and data flow Lead architectural discussions and technical planning for backend systems Code review and establish backend coding standards and best practices Contribute to technical documentation and development guidelines Technical Skills More ❯

the lookout for an experienced Analytics Lead to shape and drive our analytics strategy. At Suvera, our technology team is structured into two key areas: Platform Engineering (product and data engineering) and Analytics (dataandclinical analytics). This role will lead the Analytics function, working closely with Platform Engineering to ensure data flows smoothly across systems and teams. In … the future, it will also own our data science initiatives. You'll play a pivotal role in connecting business needs with technical implementation-helping Suvera scale its data capabilities, foster a data-driven culture, and improve outcomes for patients and clinicians alike. This is a unique opportunity to take ownership of a high-impact area, lead a … As Analytics Lead, you will: Optimise the Analytics Stack: Own and evolve our analytics tools-Fivetran, Snowflake, dbt, Mixpanel, and Omni-ensuring they're scalable and enable self-serve data access across Suvera. You'll build a forward-looking roadmap that empowers our analytics team and supports self-serve access to data across the business. Transform data More ❯

who is responsible for designing enterprise AI solutions that align with business objectives while ensuring scalability, security, and efficiency. This role translates business needs into AI-driven architectures (across data ingestion, models and operational workflows), ensuring feasibility, cost-effectiveness, and adherence to industry best practices and firmwide standards. The AI Solution Architect works closely with the sales teams … existing IT infrastructure. This role is for you if you have; Proven experience architecting AI-driven solutions for enterprise customers, collaborating with sales and engineering teams. Ability to assess data dependencies, business constraints, and success criteria to deliver AI solutions that meet user and business needs. Expertise in AI Solution Architecture, including LLM/SLM (Large Language Models/… Security & FinOps, including AI landing zones, model refinement and testing, and compliance strategies. Experience in Enterprise AI Design, focusing on scalable, secure, and cost-effective AI integration. Understanding of data science principles, enabling informed evaluation of machine learning and statistical models. What you'll receive from us: No matter where you may be in your career or personal life More ❯

to join the new Quantitative Systematic Team here at Engelhart. Based in the London office, we are a small team comprising quant researchers and developers, building a portfolio of data-driven trading strategies and underlying technical infrastructure. The role requires strong Python and mathematical skills, along with the ability to deliver robust code that will run our strategies. From … a programming perspective, the role offers numerous exciting challenges to solve and learn from, including performance optimization when dealing with large volumes of data, building cloud-native applications, and developing versatile reporting and visualization frameworks. As this is a greenfield development project, the role also provides exposure to all stages of systematic trading; from data ingestion to … candidate. In addition, we are looking for somebody with the following experience and skills : Around 2 to 5 years of experience in a similar role. Experience with the Python data ecosystem, specifically pandas. Knowledge of cloud technologies, ideally AWS and Azure. Familiarity with CI solutions. Knowledge of Docker and Kubernetes is a plus Experience in finance is beneficial, particularly More ❯

an OFSTED Inspector. Involvement in school improvement initiatives. Familiarity with school/trust Financial Management Systems (FMS). Knowledge of school/trust budget planning. Ability to manage a data lake, including data ingestion, storage, governance, and integration with analytics tools. Advanced proficiency in Microsoft Office suite. Strong customer relationship management skills. Skilled in technical writing. Competence More ❯

an OFSTED Inspector. Involvement in school improvement initiatives. Familiarity with school/trust Financial Management Systems (FMS). Knowledge of school/trust budget planning. Ability to manage a data lake, including data ingestion, storage, governance, and integration with analytics tools. Advanced proficiency in Microsoft Office suite. Strong customer relationship management skills. Skilled in technical writing. Competence More ❯

Software Engineer – Data Platform Engineering London – Hybrid (4 days office/1 remote) Quant Capital is hiring for a trading and research firm seeking a Software Engineer to join its Data Platform team. This team owns the infrastructure that powers structured, high-quality datasets used across trading, research, and operations. The focus is not on breadth but depth … consolidating the most critical financial datasets into clean, accessible, and reliable pipelines. You’ll work at the intersection of systems engineering, data quality, and automation, shaping the way the firm accesses and relies on structured data. Role Overview You’ll design and build robust data ingestion pipelines, apply algorithmic solutions to data validation problems, and contribute … level thinking are valued more than process or oversight. Key Responsibilities Design and maintain pipelines for ingesting and cleaning financial datasets Integrate with distributed internal systems to serve structured data to end-users Develop new algorithmic techniques for quality control, error correction, and anomaly detection Engage with internal stakeholders to shape schema, resolve issues, and anticipate data needs More ❯

Software Engineer – Data Platform Engineering London – Hybrid (4 days office/1 remote) Quant Capital is hiring for a trading and research firm seeking a Software Engineer to join its Data Platform team. This team owns the infrastructure that powers structured, high-quality datasets used across trading, research, and operations. The focus is not on breadth but depth … consolidating the most critical financial datasets into clean, accessible, and reliable pipelines. You’ll work at the intersection of systems engineering, data quality, and automation, shaping the way the firm accesses and relies on structured data. Role Overview You’ll design and build robust data ingestion pipelines, apply algorithmic solutions to data validation problems, and contribute … level thinking are valued more than process or oversight. Key Responsibilities Design and maintain pipelines for ingesting and cleaning financial datasets Integrate with distributed internal systems to serve structured data to end-users Develop new algorithmic techniques for quality control, error correction, and anomaly detection Engage with internal stakeholders to shape schema, resolve issues, and anticipate data needs More ❯

strong NLP and modeling experience. You'll work with massive financial datasets to build predictive models that directly impact trading strategies. What You'll Do: Design ML workflows from data ingestion to live deployment Build and optimize data pipelines and benchmarking frameworks Apply NLP and statistical methods to market data What They're Looking For: Strong … background in machine learning, NLP, and statistics Proficient in Python and data wrangling Experience with PyTorch, TensorFlow, or XGBoost (a plus) #J-18808-Ljbffr More ❯

A Bank, based in the City of London, is currently seeking an ETL Developer to help deliver infrastructure data processing solutions for the business. The company is seeking an experienced ETL Application Developer with experience of Extract/Transform/Load, SQL Server and data-processing of infrastructure-sourced capacity metrics. This role is critical to strengthening operational … monitoring is in place to highlight and mitigate potential system outages in a timely fashion to minimise potential disruptions. Key tasks include; Developing scripts, and ETL to obtain such data from the providers and working with a DBA to load this data into SQL Server from an application server. This person will also help normalise raw infrastructure and … monitoring data into structured formats suitable for graphing and trending Other tasks include automating regular data ingestion processing. Key Skills; Demonstrate evidence of working on similar data analysis and capture projects in the financial or other sector of equal complexity. Strong proficiency in one or more ETL tools Strong proficiency in data extraction methods usingRESTful More ❯

Job Description A Bank, based in the City of London, is currently seeking an ETL Developer to help deliver infrastructure data processing solutions for the business. The company is seeking an experienced ETL Application Developer with experience of Extract/Transform/Load, SQL Server and data-processing of infrastructure-sourced capacity metrics. This role is critical to … monitoring is in place to highlight and mitigate potential system outages in a timely fashion to minimise potential disruptions. Key tasks include; Developing scripts, and ETL to obtain such data from the providers and working with a DBA to load this data into SQL Server from an application server. This person will also help normalise raw infrastructure and … monitoring data into structured formats suitable for graphing and trending Other tasks include automating regular data ingestion processing. Key Skills; Demonstrate evidence of working on similar data analysis and capture projects in the financial or other sector of equal complexity. Strong proficiency in one or more ETL tools Strong proficiency in data extraction methods usingRESTful More ❯