226 to 250 of 1,678 Data Structures Jobs in England

and supporting platforms. Performing IT Ops activities for banking applications. Supporting vendor-built applications. Developing automation scripts. Managing IT risk controls for applications in banking. Databases (SQL, Sybase) and data structures. Working knowledge of operating systems, scheduling and system monitoring. Ability to build and maintain positive relationships with customers and suppliers. Desirable: Power Bi experience Agile methodology SQL query … implement a secure and robust technical architecture for the new service Collaborate with the vendor and other IT colleagues to define and implement messaging for the delivery of inventory data Define and implement the operational control model Be the default point of contact for all IT Ops project deliverables Be the technical point of contact for all IT Risk … subject matter expert by both IT and business stakeholders. You are responsible for functional and technical support of IT systems, ranging from a legacy software system hosted in traditional data centres to solutions running in the cloud. You are very good at performing IT service management, at ensuring IT reliability and at automating operational controls around our applications as More ❯

legislation and best practice. Degree level or equivalent education preferred in a relevant subject such as computer science, software engineering etc. Ability to handle multiple tasks simultaneously. Experience in data analysis. Write & execute restful API testing using tools such as Postman, Soap UI. Can implement & maintain soak, stress and system tests. Knows top 10 OWASP software vulnerabilities and how … own work and leads reviews of colleagues' work. Design - Evolves and evaluates products to be better and simpler. Undertakes complete design of moderately complex software applications or components. Investigate data requirements, and apply data analysis, design, modelling, and quality assurance techniques, to establish, modify or maintain data structures. Develops and maintains specialist knowledge of database and data … change requests. Leads the assessment, analysis, planning and design of release packages. Ensures release processes and procedures are maintained. Database Administration/Management - Can manage complex queries, work with data and help in the design of new databases. Business Impact - Provides expert contribution. Has a broad commercial understanding to add value to projects. Generates follow-up work for self More ❯

legislation and best practice. Degree level or equivalent education preferred in a relevant subject such as computer science, software engineering etc. Ability to handle multiple tasks simultaneously. Experience in data analysis. Write & execute restful API testing using tools such as Postman, Soap UI. Can implement & maintain soak, stress and system tests. Knows top 10 OWASP software vulnerabilities and how … own work and leads reviews of colleagues' work. Design - Evolves and evaluates products to be better and simpler. Undertakes complete design of moderately complex software applications or components. Investigate data requirements, and apply data analysis, design, modelling, and quality assurance techniques, to establish, modify or maintain data structures. Develops and maintains specialist knowledge of database and data … change requests. Leads the assessment, analysis, planning and design of release packages. Ensures release processes and procedures are maintained. Database Administration/Management - Can manage complex queries, work with data and help in the design of new databases. Business Impact - Provides expert contribution. Has a broad commercial understanding to add value to projects. Generates follow-up work for self More ❯

ideal candidate has: Solid Python knowledge A commitment to writing testable, maintainable code. Familiarity with more advanced SQL techniques. Strong Linux knowledge Basic, but broad, knowledge of algorithms and data structures. Degree in Computer Science or related field preferred. Highly preferred: Experience with TDD, BDD or other testing methodologies Preferred: Familiarity with PostgreSQL and Snowflake Preferred: Familiarity with Web … Frameworks such as Django, Flask or FastAPI Preferred: Familiarity with event streaming platforms such as Apache Kafka Preferred: Familiarity with data pipeline platforms such as Apache Airflow Preferred: Familiarity with Java Preferred: Experience in one or more relevant financial areas (market data, order management, algorithmic trading, financial systems integration, compliance, etc.) Benefits and Perks We value the total More ❯

job and more exclusive features. Job Reference # 317582BR Job Type Full Time Your role Are you an experienced Quant developer analyst with experience in derivatives pricing, risk and data science? Are you in innovative thinking and enjoy building tools? We are looking for someone who can work closely with trader and sales, utilizing a variety of technologies to … rapid application development. Strong technical skills in at least one core language (Java/C#) and one scripting language (Python, Javascript/ReactJS + TypeScript). Solid background in data structure and algorithms. Knowledge of Web development will be a plus. Knowledge of Equity Derivatives will be a plus. Knowledge of Kafka, Kubernetes, Docker, SQL, KDB, Excel/VBA More ❯

REQUIRED: DATA ENGINEER - SC CLEARED Location: Fully remote with occasional travel to Central London IR35 Status: Inside Duration: 6-month initial contract Job Description: Seeking a Data Engineer with a strong understanding of data concepts, including data types, data structures, schemas (JSON and Spark), and schema management. Key Skills and Experience: Strong understanding of … complex JSON manipulation Experience with Data Pipelines using custom Python/PySpark frameworks Knowledge of the 4 core Data categories (Reference, Master, Transactional, Freeform) and handling Reference Data Understanding of Data Security principles, access controls, GDPR, and handling sensitive datasets Strong problem-solving and analytical skills Experience in support roles, incident triage, and handling (SLAs) Linux … and Frameworks: JSON YAML Python (advanced proficiency, Pydantic bonus) SQL PySpark Delta Lake Bash Git Markdown Scala (bonus) Azure SQL Server (bonus) Technologies: Azure Databricks Apache Spark Delta Tables Data processing with Python PowerBI (Data ingestion and integration) JIRA Additional Notes: Candidates with current or past high-level security clearance are encouraged to apply. Successful candidates will need More ❯

Job Title: Oracle Fusion Data Architect Location: Nottingham (3 Days onsite) Salary: £80,000 - £90,000 DOE The Role Oracle Fusion Data Architect to lead the data strategy, architecture, integration and migration activities for Oracle Fusion Cloud implementation. Should have knowledge of Oracle Fusion data models across multiple modules (Financials, SCM, EPM etc), strong expertise in … ETL, data governance and cloud data integration tools. Key responsibilities: Define and lead the data architecture strategy for Oracle Fusion Cloud applications across various business domains Design end-to-end data solutions, including data modeling, integration architecture and migration plan for on-premise to cloud transitions Work closely with functional team and implementation partners to … map legacy data to Fusion data structures Lead data conversion activities using tool like Oracle FBDI, ADFdi, HDL and REST APIs Ensure data quality, integrity and compliance with governance policies and regulatory standards Collaborate with enterprise architects, DBAs and infrastructure teams to optimize data performance security Develop and maintain data lineage, metadata and More ❯

Job Title: Oracle Fusion Data Architect Location: Nottingham (3 Days onsite) Salary: £80,000 - £90,000 DOE The Role Oracle Fusion Data Architect to lead the data strategy, architecture, integration and migration activities for Oracle Fusion Cloud implementation. Should have knowledge of Oracle Fusion data models across multiple modules (Financials, SCM, EPM etc), strong expertise in … ETL, data governance and cloud data integration tools. Key responsibilities: Define and lead the data architecture strategy for Oracle Fusion Cloud applications across various business domains Design end-to-end data solutions, including data modeling, integration architecture and migration plan for on-premise to cloud transitions Work closely with functional team and implementation partners to … map legacy data to Fusion data structures Lead data conversion activities using tool like Oracle FBDI, ADFdi, HDL and REST APIs Ensure data quality, integrity and compliance with governance policies and regulatory standards Collaborate with enterprise architects, DBAs and infrastructure teams to optimize data performance security Develop and maintain data lineage, metadata and More ❯

from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role, you will: Design and develop a highly-scalable data platform capable of ingesting and processing hundreds of terabytes of training data. Design and develop methodologies and metrics to better understand the underlying quality, structure and distribution of training … data. Architect training data validation, integrity and safety mechanisms for state-of-the-art ML models. Be given a high degree of autonomy and ownership over your work. Co-hire your future colleagues. Work closely with the founding team and contribute towards best practices, standards, and culture of the company. What we are looking for: Back-end development: At … least 2–3 years of industry experience in back-end engineering developing data platforms or large-scale extract-transform-load (ETL) pipelines. Programming languages: Proficiency in Python for data pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and More ❯

from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role, you will: Design and develop a highly-scalable data platform capable of ingesting and processing hundreds of terabytes of training data. Design and develop methodologies and metrics to better understand the underlying quality, structure and distribution of training … data. Architect training data validation, integrity and safety mechanisms for state-of-the-art ML models. Be given a high degree of autonomy and ownership over your work. Co-hire your future colleagues. Work closely with the founding team and contribute towards best practices, standards, and culture of the company. What we are looking for: Back-end development: At … least 2–3 years of industry experience in back-end engineering developing data platforms or large-scale extract-transform-load (ETL) pipelines. Programming languages: Proficiency in Python for data pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and More ❯

The Data Analyst will be responsible for collecting, analysing, and interpreting large datasets to identify trends, patterns, and insights that support strategic decision-making. The ideal candidate will have strong analytical skills, attention to detail, and the ability to present findings in a clear and impactful manner to stakeholders across the business. Key Responsibilities Gather, clean, and analyse data … dashboards, reports, and visualizations using tools like Excel, Power BI, Tableau, or similar platforms. Collaborate with cross-functional teams (e.g., Marketing, Operations, Finance) to understand business needs and provide data-driven recommendations. Identify key performance metrics (KPIs) and monitor performance against business goals. Use statistical methods and data modelling techniques to analyse trends and forecasts. Automate repetitive data processes to improve efficiency and accuracy. Present findings and insights clearly to both technical and non-technical stakeholders. Support data quality initiatives by identifying and addressing inconsistencies or inaccuracies. Required Skills and Experience Proficiency in data visualization tools (e.g., Tableau, Power BI, Looker) and Excel. Strong SQL skills for querying and analysing data from relational databases. More ❯

Are you an experienced senior data professional, with a strong background in data architecture and/or data engineering. If so, we’d love to hear from you! About the Team The Strategy, Performance & Improvement (SPI) Team is one of the central Government Finance Function (GFF) teams supporting over 9,000 finance colleagues across government. We set … Model to share, improve and drive efficiency in the delivery of finance services. NOVA contains a full suite of functional design artefacts—Processes, KPIs, Business Glossary and a comprehensive Data Dictionary—to be adopted by all government organisations through the delivery of shared services and back-office systems. We are committed to enhancing finance performance by supporting the adoption … of the NOVA finance functional design and its data standards. Driving up finance data maturity, improving data architecture, and creating data integration solutions are central to our GFF 2030 Strategy and ambition for an Insightful and Data Driven finance function. The seventeen-person team works across a wide range of partners, providing the individual with More ❯

Our client, based in South London/Surrey, has an exciting permanent role for a Data Analyst/Report Writer. The reporting analyst will meet our client's complex reporting requirements using Excel, Power BI, and other reporting platforms. You will be part of a crucial business team, assisting users and colleagues with daily support tasks as well as … BI from SQL databases. Providing support to existing clients, working with them to enhance and update reports. Liaising with clients and consultants to identify and understand reporting requirements. Checking data maps for accuracy during data imports and exports, and validating data. Testing new reports for compatibility with software versions before release. Assisting with the maintenance of complex appraisal … colleagues. Responsibilities Report Writing Collaborate with clients and consultants to understand reporting needs. Create reports in Excel and from SQL databases. Support and enhance existing reports for clients. Validate data imports and exports periodically. Test reports for compatibility before release. Maintain version control for reports. Assist in maintaining the main financial model. Support system releases, including testing and documentation. More ❯

from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role, you will: Design and develop a highly-scalable data platform capable of ingesting and processing hundreds of terabytes of training data. Design and develop methodologies and metrics to better understand the underlying quality, structure and distribution of training … data. Architect training data validation, integrity and safety mechanisms for state-of-the-art ML models. Be given a high degree of autonomy and ownership over your work. Work closely with the founding team and contribute towards best practices, standards, and culture of the company. What we are looking for: Back-end development: At least 2–3 years of … industry experience in back-end engineering developing data platforms or large-scale extract-transform-load (ETL) pipelines. Programming languages: Proficiency in Python for data pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g. More ❯

Graduate Software Engineer – ML Data Platform Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Zettafleet Employment Type: Full-time and Permanent Remuneration: £60–70k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team comprises Cambridge graduates … from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role, you will: Design and develop a highly-scalable data platform capable of ingesting and processing hundreds of terabytes of training data. Develop methodologies and metrics to better understand the quality, structure, and distribution of training data. Architect training … data validation, integrity, and safety mechanisms for state-of-the-art ML models. Collaborate closely with the founding team to contribute towards best practices, standards, and the company's culture. What we are looking for: Back-end development: Experience in developing data platforms or large-scale ETL pipelines. Programming languages: Proficiency in Python for data pipelines, distributed More ❯

Data Analyst, Power BI | Investment Management - Clearing | London, Hybrid | up to £100k + Bonus, Benefits Data Analyst, Power BI | Investment Management - Clearing | London, Hybrid | up to £100k + Bonus, Benefits Get AI-powered advice on this job and more exclusive features. Direct message the job poster from VirtueTech Recruitment Group Head of Permanent - Data, Product and Infrastructure … at VirtueTech Recruitment Group Data Analyst, Power BI | Investment Management - Clearing | London, Hybrid | up to £100k + Bonus, Benefits A leading global asset manager, responsible for assets under management across liability driven investment (LDI), cashflow-driven investing (CDI) and longevity hedging, currency management, fixed income, absolute return, multi-asset and specialist investment strategies. Is looking to add to their … Data team, by hiring a Data Analyst, coming from a financial services/Trading House background with knowledge around Risk, regulations, Compliance, Trade Surveillance etc... The Data Analyst will join the Data Centre of Excellence, encompassing Data Analysis, Data Architecture, Data Intelligence and Machine Learning experts. This Data team helps the Investment More ❯

bring your demonstrated experience of working independently and engaging with key stakeholders during shaping, execution, and delivery. You will leverage your knowledge and experience of shaping analytical workflows, support structures and data shaping across a sizeable organisation to uplift and mature the team's ways of work into the future. A strong record of impact through analysis, ideally … others - for example project managing, line managing or shaping the analytical work of others. Excellent teamwork skills, with the ability to build collaborative working relationships. Experience with shaping analytical data structures within a large organisational setting an advantage. Why Financial Ombudsman Service? We are a values led organisation. Our values define our culture, influence our decisions, and underpin More ❯

The primary purpose of this role is to lead the Thames Water Data Acquisition team. The Data Acquisition team is the gateway between Thames Water application sources and the central Enterprise Data platform. The team are expected to follow the standard acquisition processes to create connections to various data sources and acquire the data and … bring it to the TW data lake. The duties include designing and implementing ETL (Extract, Transform, Load) processes, ensuring data quality and accuracy, and maintaining data engineering architecture. Occasional analysis of data to derive business insights and communication of these findings to stakeholders, aiding in data-driven decision-making. Additionally, you will mentor team members … and support analytics through reliable data pipelines. What youll be doing as a Data Acquisition Lead Managing c6x data engineers and data business analysts to deliver data backlog items. Managing the investigation of corporate data requirements and documenting them according to the required standards utilising the prescribed methods and tools Implement data flows More ❯

people to unlock their digital potential! To get a sneak peek into our culture, find us on In this role, you will be responsible for planning and overseeing the Data Services Data Engineering and Machine Learning teams engaged in enterprise-wide data projects to ensure they are completed in a timely fashion and within budget. You will … stakeholders informed the entire way. This role will be supporting the charge in implementing D&A technologies and principles and will act as a single point of contact for data engineering processes to ensure the team is delivering impactful and useful solutions. Job Responsibilities Leads both operational and directional aspects for the data engineering team Make high-judgement … and enable team to deliver on their commitments Builds team with healthy dynamics Upholds department and company policies and reinforces them when necessary Champion clean, simple, methodical, and ethical data engineering practices Create and maintain optimal data pipeline architecture Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater More ❯

a meaningful, lasting impact. Headquartered in New York City with offices in Greenwich, Garden City, London, and Dublin, SFM employs 200 professionals. Job Overview We are seeking a talented Data Architect with a strong background in finance and data engineering to lead strategic initiatives in modernizing our data infrastructure. In this hands-on role, you will implement … key projects such as building golden source datasets and centralizing valuable Python libraries. You will play a critical role in streamlining data operations in our modern cloud environment which will unlock new capabilities for our firm. If you value a balanced approach that combines thoughtful innovation with high-quality execution, this opportunity offers the chance to play a key … role in strengthening our data infrastructure while contributing to our broader mission. Major Responsibilities Work with the CDO as an individual contributor to deliver key projects with far-reaching impact on trading, alpha generation, risk management, accounting, compliance, and more. Implement new golden source datasets such as Security Master and Price Master for firm-wide use. Centralize disparate Python More ❯

this with curiosity, openness and a collaborative spirit driven by the passion of enhancing everyday experiences. How will you make an impact in this role? We are seeking a Data Engineer to help drive the design and development of a robust data infrastructure, through building databases and pipelines that will support our planning processes, Machine Learning use-cases … and leadership reporting. As a Data Engineer, you will be part of a team responsible for the development and execution of world-class advanced analytics projects, leveraging automation and machine learning to enhance and streamline business processes. You will build scalable solutions that benefit our internal customers – from technical design, prototyping, testing, deploying and monitoring production data. The ideal … candidate will have the skills to collaborate in a cross-functional environment – planning, operations, finance, forecasting, data science – to test new ideas and challenge conventions. Responsibilities: Support GCCM colleagues migrating production-grade data and pipelines to the Google Cloud Platform Help define and apply data governance requirements for accurate and consistent storing of data records Build More ❯

Type:Full time, permanent Start:Immediate Office Based Position - Cambridge, UK with hybrid working available Your role in our team: At bit.bio, we’re setting our sights on embedding data and AI into our technology stack in new and innovative ways. We are looking for an experienced and passionate Senior Data & AI Engineer to partner with and support … our company by addressing their data management challenges and help us implement an easy-to-use, compliant data and AI platform. In this highly collaborative role you will help acquire, curate, store and retrieve any type of data and metadata required by the teams. You will be working with data from cutting edge, novel biological assays … and experiments at never before seen scales. As Senior Data & AI Engineer you will apply the latest technologies in highly translational biotech research where you will be directly contributing to cutting edge discoveries. You will support the development of a data pipeline for continuous ingestion of new datasets from external/internal sources into the relevant databases so More ❯

Data Business Analyst Circa £45,800 negotiable + excellent benefits Permanent Hybrid About The Role Would you like to work for a company that makes a real difference in the automotive industry? Are you passionate about Data Analysis and delivering customer value whilst expanding your skills? Are you keen to convert business needs into data-driven solutions … If so, this may be the perfect role for you. We have an opportunity for a Data (Business) Analyst to join our Enterprise Data team, supporting the delivery of data solutions to our business and customers. In this role, we'd like you to help us deliver best practice and centre of excellence for all our data … their analytical needs. Understanding business requirements and converting them into technical requirements. Translating technical requirements, terminology and solutions into digestible updates and explanations for business stakeholders. Technical analysis of data sets to understand structure, quality and use of data to inform delivery of products. Plan, develop and update the complex modelling and analysis activities. Maintain functional and other More ❯

Who we are looking for We are looking for a Data engineer for Cloud Data Lake activities. The candidate should have industry experience (preferably in Financial Services) in supporting enterprise applications, and exposure to Cloud based Data engineering platforms. This hands-on role will partner with senior-level development managers, architects and business leadership to develop and … execute the technology product roadmap in driving Data Governance policy implementation. The candidate should have industry experience (preferably in Financial Services) in supporting enterprise applications and exposure to Cloud based engineering platforms. What you will be responsible for Collaborate with cross-functional teams to understand project requirements, user stories and translate them into functional, technical requirements. Document requirements for … ensure efficient regression testing and maximum test coverage. Execute performance testing to evaluate system scalability, reliability, and efficiency. Hands on experience analyzing, documenting Business Requirements document, Functional requirement document, Data flows , Business rules, data mapping, use cases and Traceability Matrix. Ability to translate business to functional/technical requirements, with experience in Data Analysis, Data mapping More ❯

The role We’re now looking for a motivated & experienced Data Migration Analyst to join the Jensten Group, based from our Oldham office (we will also consider remote working for the right person). The main purpose of the role is to manage the migration of data between insurance policy administration systems and its integration into an existing … Data Warehouse. The ideal candidate will have a strong background in SQL-based technologies and a deep understanding of data migration processes, ensuring data integrity, accuracy, and completeness throughout the lifecycle of the migration project. Reporting to the BI Analyst, you’ll work closely with the wider data and technology team, as well as other stakeholders … to ensure data is collected, stored and processed in line with business needs. Some key objectives & responsibilities will include: Data Migration: Plan, execute, and validate the migration of data and documents between insurance policy administration systems. Data Integration: Design and implement processes to integrate migrated data into an existing data warehouse. ETL Development: Develop More ❯