1 to 25 of 133 Data Structures Jobs in Berkshire

As a Senior Data Engineer, you will be responsible for the development of complex data sources and pipelines into our data platform (i.e. Snowflake) along with other data applications (i.e. Azure, Airflow, etc.) and automation. The Senior Data Engineer will work closely with the data, Architecture, Business Analyst, Data Stewards to integrate and … align requirements, specifications and constraints of each element of the requirement. They will also need to help identify gaps in resources, technology, or capabilities required, and work with the data engineering team to identify and implement solutions where appropriate. Work type: Contract Length: initial 6 months Work structure: hybrid 2 days a week in London. Primary Responsibilities: Integrate data from multiple on prem and cloud sources and systems. Handle data ingestion, transformation, and consolidation to create a unified and reliable data foundation for analysis and reporting. Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and More ❯

clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO Key responsibilities Implement ETL pipelines and orchestrate data flows using batch and streaming technologies based on software engineering best practice Define, document and iterate data mappings based on concepts and principles of data modelling Re … engineer data pipelines to be scalable, robust, automatable, and repeatable Navigate, explore and query large scale datasets Build processes supporting data transformation, data structures, metadata, dependency and workload management Identify and resolve data issues including data quality, data mapping, database and application issues Implement data flows to connect operational systems, data … with team members to understand designs, functional requirements and triage issue Qualifications We have a number of opportunities available from junior to senior level and we are looking for data engineers who have a variety of different skills which include some of the below. Strong proficiency in at least one programming language (Python, Java, or Scala) Extensive experience with More ❯

supporting their unique goals and ambitions. Role Summary The purpose of the MI/BI & Insight Manager is to effectively lead and co-ordinate a team of MI Analysts, Data Analysts and BI Developers to generate, analyse and present information for key operational and business activities in order to deliver insightful analysis and reporting to support Business Managers. And … controlled policies, procedures, legislative and regulatory requirements, while providing exceptional internal customer service and driving business growth. Play a key role in the development of the roadmap for the data platform and reporting solutions. Act as key curator of data within the team, being responsible for the processes of collection, governance, storage, security and accessibility of all our … data, from raw data through to transformed business-facing data. Responsible for creating an MI and BI Framework that will be followed by the team to ensure a common way of working and avoid data quality issues. Responsible for the comprehensive efforts related to the design, implementation, and operation of BI data analysis systems. Take a More ❯

Data Analyst About the role We are seeking a skilled Data Analyst with 2-3 years' experience to join our technology transformation team. In this role, you will be instrumental in transforming our fragmented data landscape into actionable business intelligence through PowerBI dashboards, data warehouse implementation, and system integrations. You will collaborate closely with business units … to understand their data needs and develop solutions that drive efficiency and insight. Responsibilities Design, develop, and maintain PowerBI dashboards and reports to provide actionable business intelligence Implement and manage our Microsoft data warehouse initiative Develop system integrations using Power Automate, APIs, and other integration tools Address data quality issues through analysis, cleansing, and standardisation Build automated … data quality monitoring tools and processes Develop natural language processing solutions for document analysis and data extraction Collaborate with teams across the business to identify automation opportunities Document data flows, structures, and processes to support knowledge sharing Understanding of CRM (FibreCRM) Data and processes Requirements 2-3 years' professional experience in data analysis, business 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: 5+ … 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 More ❯

Social network you want to login/join with: Graduate Software Engineer – ML Data Platform, slough col-narrow-left Client: Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 5 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Location: London (Liverpool Street) Employment Type: Full-time and Permanent Remuneration … 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. 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: Experience in back-end engineering developing data platforms or large-scale extract-transform-load (ETL) pipelines. Programming More ❯

Riyadh Based* - This role requires relocation to Riyadh, KSA Our client seeks a Senior Data Scientist with a passion for data and at least 5 years of industry experience. The successful candidate will develop models that transform complex datasets into actionable insights, enhancing our product offerings and informing strategic decisions. Key Responsibilities: Develop and deploy machine learning models … and algorithms to address complex business challenges. Translate intricate business problems into technical solutions. Write clean, modular, and scalable code suitable for production environments. Lead data mining and collection strategies to prepare large-scale data for predictive and prescriptive modelling. Analyze extensive, complex datasets to extract insights and communicate results effectively. Innovate new modelling and machine learning approaches … existing processes and capabilities. Collaborate with cross-functional teams, including engineering, product management, MLOps, and leadership, to define problem statements, scope projects, and deliver analytics solutions. Mentor peers in data science and model development, promoting best practices. Remain abreast of the latest technologies and trends in artificial intelligence and machine learning. Required Qualifications: Bachelor’s degree or higher in More ❯

financial sector. The ideal candidate will have a deep experience and understanding of test automation frameworks, and an understanding of COTS (Commercial Off-The-Shelf) products and experience in Data Modernization/Transformation programmes. As an Automation Test Lead, you will be responsible for designing and executing test plans, coordinating with cross-functional teams, and ensuring the quality of … support Coordinate with cross-functional teams, including developers, business analysts, and project managers, to understand project requirements and develop test strategies Potentially also support, advise, assist to prepare test data, migrations testing CI/CD, NFT and UAT Potentially create automated solutions around data inputs, outputs and data source-target comparisons Qualifications and Skills: Bachelor's degree … experience as an Automation Test Lead, with at least 5 years of experience and automation testing in the banking and financial sector Experience with cloud technologies, such as Azure Data Factory In depth experience, knowledge and understanding of test automation frameworks with Karate, JSON, NUnit, Pytest, Eggplant; along with Github Actions pipeline and IntelliJ IDE. In-depth understanding of More ❯

every engagement. This is a cross-functional role, with high growth potential - the ideal candidate will be highly driven and relish the chance to wear multiple hats (Engineering, Product, Data). Must Haves: UK based: role is remote, but only open to candidates localized within the UK STEM degree: from a top research-intensive university, preferably in London or … limited supervision Efficient: value pragmatism over idealism (efficiently arrive at 80-20 solutions) Structured: thinker, problem solver, and communicator Key Responsibilities: Design, develop, and maintain Web, Front End, and Data Visualization applications Produce performant, well tested code that scales gracefully with more features, users, and data Assist with deploying and embedding software products into consulting solutions Understand the … between different engineering solutions Write and maintain clear, concise documentation Technical Expertise: Previous experience in software engineering, preferably within the Life Sciences Sector Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design Mastery of modern web technologies & Javascript is essential: React, CSS, Node, Angular, etc. Proficient in at least one all purpose imperative More ❯

and maintain server-side and client-side applications using React, TypeScript, Java, Spring Boot, ensuring code quality, efficiency, and adherence to best practices. Design and implement scalable and efficient data structures and algorithms to optimize application performance. Ensure seamless integration of front-end and back-end components to deliver fully functional systems. Collaborate with UI/UX designers … Collaborate with cross-functional teams to define, design, and deliver new features. Write efficient, testable, and reusable code Ensure the performance, quality, and responsiveness of applications. Implement security and data protection measures. Proactively identify areas for innovation and optimization. Troubleshoot, debug, and upgrade existing systems. Participate in code reviews to maintain code quality and share knowledge. Stay updated with More ❯

and maintain server-side and client-side applications using React, TypeScript, Java, Spring Boot, ensuring code quality, efficiency, and adherence to best practices. Design and implement scalable and efficient data structures and algorithms to optimize application performance. Ensure seamless integration of front-end and back-end components to deliver fully functional systems. Collaborate with UI/UX designers … Collaborate with cross-functional teams to define, design, and deliver new features. Write efficient, testable, and reusable code Ensure the performance, quality, and responsiveness of applications. Implement security and data protection measures. Proactively identify areas for innovation and optimization. Troubleshoot, debug, and upgrade existing systems. Participate in code reviews to maintain code quality and share knowledge. Stay updated with More ❯

version control (GitHub/GitLab) and testing frameworks like SonarQube, xUnit, Postman, Cucumber, Polaris, and Blackduck. Knowledge of cloud platforms such as Azure, GCP, or AWS. Strong understanding of data structures, algorithms, design patterns, and clean architecture principles. Familiarity with design principles/methodologies like SOLID, 12 Factor App, TDD, BDD, and Agile Scrum. Knowledge of Domain Driven 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 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 ❯

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 ❯

SQL Server Database Developer – London Markets Insurance A specialist London Markets insurer is building out a brand-new, modern data platform and is looking for an experienced SQL Server Database Developer to join their growing data team. With strong executive support and significant investment, this is a rare greenfield opportunity to help define and build core data infrastructure from the ground up. The business is deeply committed to becoming a more data-driven organisation, and this role offers both stability and progression in a collaborative, high-impact environment. Why apply: Greenfield platform build with real architectural influence Strong backing and long-term investment in data initiatives Excellent career development opportunities within a growing team … and optimise SQL Server databases to support analytics and operational workloads Write high-quality, efficient T-SQL procedures, views, and functions Develop ETL processes and support the integration of data from core insurance systems Work closely with BI, data architecture, and business teams to shape data structures and pipelines Support performance tuning, indexing, and optimisation across More ❯

Drive the design and implementation of scalable microservice architectures using Java and Spring Boot. Guide teams through cloud-native application development and deployment, primarily on AWS. Design and model data structures, optimize databases, and address performance bottlenecks. Utilize middleware and open-source tools to streamline integrations and enhance system capabilities. Collaborate closely with cross-functional teams to deliver … to mentor, coach, and motivate high-performing engineering teams. Strong expertise in Java, Spring Boot, and microservice architecture. Deep understanding of cloud environments, particularly AWS. Experience in database design, data modeling, performance tuning, and optimization. Familiarity with middleware technologies and open-source ecosystems. Excellent analytical, problem-solving, and communication skills. #J-18808-Ljbffr More ❯

time each week, and 2 days working remotely. Rate negotiable Skills & Requirements: Specific Software Skills are : Strong expertise in C++ development, with a deep understanding of object-oriented programming, data structures, and algorithms Experience with version control systems (e.g., Git), build systems, and continuous integration/continuous deployment (CI/CD) pipelines Knowledge of other programming languages (e.g. More ❯

the use of Azure DevOps or Jira 2+ years of practical experience with Agile development methodologies Experience working on public cloud native applications Computer science fundamentals: OOP, design patterns, data structures & algorithms Ideally you will have studied Computer Science, Software Engineering, Mathematics or similar STEM degree. Please hit apply and upload your CV or email me at Spectrum More ❯

the use of Azure DevOps or Jira 2+ years of practical experience with Agile development methodologies Experience working on public cloud native applications Computer science fundamentals: OOP, design patterns, data structures & algorithms Ideally you will have studied Computer Science, Software Engineering, Mathematics or similar STEM degree. Please hit apply and upload your CV or email me at DanielSumpter More ❯

the use of Azure DevOps or Jira 2+ years of practical experience with Agile development methodologies Experience working on public cloud native applications Computer science fundamentals: OOP, design patterns, data structures & algorithms Ideally you will have studied Computer Science, Software Engineering, Mathematics or similar STEM degree. Please hit apply and upload your CV or email me at DanielSumpter More ❯

Strong Python skills (or equivalent OO/Functional language experience) Degree in Computer Science, Physics, Engineering, Mathematics or similar Experience with high-availability financial systems Solid understanding of algorithms, data structures, and design patterns Knowledge of messaging middleware and TCP/IP networking Front office trading experience (FX/Fixed Income/Derivatives preferred) Agile development experience (SCRUM More ❯

or interest in agile methodologies (XP, SCRUM, Kanban) and continuous integration. A degree in Computer Science, Physics, Engineering, or Mathematics. Excellent problem-solving, analytical skills, and understanding of algorithms, data structures, and design patterns. Familiarity with messaging middleware, TCP/IP networking, and large-scale distributed systems. Strong communication skills and ability to collaborate with business stakeholders. Interest More ❯

skills You have a good knowledge of AWS You have experience of working on highly scalable systems You have a strong knowledge of Computer Science fundamentals such as OOP, Data Structures, Design Patterns You have experience with, or a strong interest in Artificial Intelligence and are keen to explore the possibilities further, ChatGPT knowledge You have strong analysis More ❯

Job Views: 4 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Zearch are partnering with a leading GIS/Geo-spatial SaaS business and hiring for an experienced Data Architect to work on some top priority projects in the Telco & Utilities sectors. Collaborate directly with clients to evaluate the technical quality and business value of their datasets, performing … detailed assessments to audit critical data elements. Assist clients in defining processes for data governance, ensuring data accuracy, completeness, and integrity across systems. Conduct comprehensive reviews of client systems to understand the structure and flow of customer interaction and life-cycle data. GIS Data Modeling & Transformation Design GIS data models aligned with the client’s … business objectives, transforming existing data structures using tools such as Python, Perl, Safe FME, and proprietary transformation utilities. Translate complex datasets into standardized formats that support scalable, automated transformation workflows. Establish automated ingestion processes to collect and process client data, triggering transformation routines as needed. Documentation & Compliance Create and maintain detailed documentation of data architectures, model More ❯