1 to 25 of 466 Permanent Data Structures Jobs

Purpose: TheSenior Reporting Developer (Power BI)is responsible for designing, building, and maintaining high-quality, scalable, and user-friendly analytics solutions usingPower BI. This role focuses ontabular model design, data visualization best practices, and end-to-end report lifecycle management-ensuring that business stakeholders receive accurate, insightful, and timely data. A strong candidate will have deep hands-on experience … withPower BI, includingPower Query,DAX,tabular modelling, and efficient data transformations. They will be experienced atPower BI capacity planning, optimizing performance, and integrating Power BI solutions with broader data platforms. The Senior Reporting Developer will be creating reports which would reflect the business needs and will encourage data driven decision making across the business. Proactive proposals of … the PowerBI feasibilities and efficient communication with the business stakeholders is also expected from this role. Power BI Architecture & Development Design, develop, and optimize Power BI dashboards, reports, and data models. Implement best practices for data transformations (Power Query), DAX calculations, and tabular model design, including unit testing of tabular models to ensure accuracy and reliability. Create intuitive More ❯

in Java server-side technologies, including Spring Boot Proficient in writing maintainable code in multiple languages such as HTML, Java, and JavaScript/TypeScript, with a solid understanding of data structures, design patterns, and algorithms Experience with public cloud technologies, as well as a passion for automation and familiarity with CI/CD tools like GitLab Strong practitioner … of DevOps practices, utilizing relevant tooling to enhance development and deployment processes, and ensuring application security through secure coding techniques and vulnerability assessments Technical skillset includes data models, messaging, REST, API design and development, and standard methodologies for system integration Knowledge of Oracle Database and SQL, with experience in performance monitoring and optimization to ensure applications meet performance benchmarks More ❯

The team you'll be working with: We are seeking a highly skilled and experienced Data Architect to join our dynamic team. The ideal candidate will have a strong background in the full data modeling lifecycle, including designing, implementing, and maintaining complex data models that align with organizational goals and industry standards. This role requires a deep … understanding of data architecture, data modeling methodologies, and experience with real-time data integrations. The successful candidate will collaborate with cross-functional teams to ensure optimal data structures supporting business intelligence, analytics, and operational needs. This role involves creating, assuring, and overseeing the implementation of data models within analytical and real-time streaming domains. … What you'll be doing: Develop conceptual, logical, and physical data models to support data analytics, streaming, and data product implementation. Define and maintain data architecture standards, principles, and best practices. Ensure data models are aligned with business requirements and scalable for future needs. Work closely with business stakeholders, data engineers, data solution More ❯

Ignite Your Impact as a Data Analyst - Join a Forward-Thinking Team! Are you a data enthusiast with 2-3 years of experience ready to transform fragmented data into powerful insights? We're seeking a skilled Data Analyst to join a dynamic technology transformation team within a thriving professional services firm! This isn't just any … Data Analyst role; it's an opportunity to be instrumental in shaping the future of business intelligence. You'll be at the heart of our data evolution, translating complex data landscapes into actionable strategies. What You'll Be Doing: Designing, developing, and maintaining impactful PowerBI dashboards and reports to deliver crucial business intelligence. Implementing and managing our … Microsoft data warehouse initiative. Developing seamless system integrations using Power Automate, APIs, and other cutting-edge tools. Tackling data quality challenges through expert analysis, cleansing, and standardization. Building automated data quality monitoring tools and processes. Collaborating across teams to identify exciting automation opportunities. Developing natural language processing solutions for document analysis and data extraction. Documenting data More ❯

leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You'll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our … Library, Cypress), module bundlers and package management. Security & privacy by design - OAuth 2.0/OIDC, JWT, SSO/cloud IAM, encryption in transit/at rest, and awareness of data-protection regulations. Strong computer-science fundamentals - data structures, algorithms, object-oriented and functional paradigms, automated testing and performance profiling. Leadership & mentorship - proven ability to lead small engineering More ❯

Join a rapidly growing data function as a Business Data Analyst. Experience in Business Analysis, data migration and technical data analysis. About Our Client A large international bank based in London. Job Description Business Data Analyst - Migration Responsibilities: Collaborate with stakeholders to gather and document business data requirements for data migration and data transfer. Analyse current and future data structures, business processes, dataflows, and dependencies to identify gaps and risks and ensure smooth data transition/transfer Define data mapping, transformation rules, validation criteria and business logic for data transfer and data migration projects Work closely with data engineers and migration teams to ensure accurate … data extraction, transformation, and loading (ETL). Support data reconciliation, integrity checks , validation, and cleansing activities to ensure quality and consistency. Identify and resolve data discrepancies and ensure alignment with business rules. Assist in data profiling and data lineage documentation to track historical changes and data movements Act as a liaison between business users More ❯

We are seeking an enthusiastic Data Analyst to join our growing IT Applications team! You will be part of the Data and Reporting team, helping to set and drive standards for data analysis in IT Applications. This is a project-focused role, supporting Data Engineering activities. Experience with data migration and complex data models … initial training. You should be located near our Claverton Down, Bath office to collaborate effectively with stakeholders and project teams. What you'll do Provide documentation for database development, data migration, and integration processes. Understand complex data structures, identify issues, and suggest solutions. Contribute to expanding our cloud data storage and analytics platform. Specify and document … data migrations and integrations. Lead data mapping activities between systems. Perform gap analysis. Interpret data models with the data architect to produce data mappings. Support data migration throughout project lifecycle with DBAs, BAs, Data Developers, and the Program team. Document work according to standards for review and approval. Identify risks and issues, with More ❯

We are looking for a hands-on, technically driven Data Engineer to join our expanding data team. This role is ideal for someone with a strong foundation in SQL and data management, who has recently graduated from a Data Science or Data Engineering programme and is eager to apply their skills in a modern, forward … thinking environment. You will be responsible for developing and maintaining robust data solutions that support reporting, automation, and strategic decision-making across the business. The successful candidate will have up-to-date knowledge of data tooling and methodologies, particularly in SQL, Power BI, and data automation, with an interest in modern data architecture such as cloud … As the role sits within a relatively new department, where methodologies and processes are still evolving, there is a significant opportunity to help shape the future of OEG’s data management practices. Key Responsibilities: Database and Data Engineering Design, develop, and maintain SQL-based solutions and data pipelines. Manage relational databases, ensuring data can be extracted More ❯

money is spent. We drive forward improved outcomes and efficiency in public services and make sure value for money is at the centre of decision-making through better evaluation, data and analysis. We advise on overall government policy on public sector pay and pensions, the biggest single driver of public spending. We collaborate with and directly support departments to … 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 ❯

application integration. 3-5 years of work experience designing, executing, and supporting IT Cloud solutions in Azure PaaS Platform Experience with Agile Software Development methodologies. Expertise with design patterns, data structures, modeling, and OOAD. Experience working with functional, development and QA teams to build products highly desirable Knowledge of cloud technologies and service-oriented architecture principles to define … and own Solution Architecture (applications and data technologies) Experience in creating scalable system using various software technologies such as C# .Net, Java, Python, Angular, Azure DevOps Exceptionally strong written and verbal communication skills, as well as good interpersonal and organizational skills. Strong technical accomplishments in solving hard software engineering problems. Preferred: Knowledge of operating systems, networking, communication protocols, security … data processing & corporate management applications Hands-on experience with SaaS and business intelligence/analytics implementation Expertise scaling applications that use large amounts of data stored in either SQL or NOSQL databases Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender More ❯

communications systems in support of national security defense. Core responsibilities include creative problem solving, researching or inventing advanced geolocation algorithms, implementing them in efficient software, testing with real-world data, and deploying to front-line customer facilities. Our dynamic environment and diverse projects demand flexibility to learn new technologies quickly. Our personnel can expect to work across all functional … working in. The ability to work unsupervised with minimal direction and the ability to self-start is a must. What required background will make you successful? • Expert knowledge of data structures, algorithms, and modern design patterns and data layers • Expert knowledge of Golang • Passion to build internal solutions and own development of enterprise-wide applications • Extensive knowledge More ❯

and enterprise architecture is essential. You will collaborate with global and diverse teams, including Business Analysts, Project Management, Production Support, and Infrastructure. Price Master Central is a global reference data management application - responsible for sourcing Securities & Pricing data from market vendors and internal Citi sources and providing it to downstream clients after applying client specific rules. Responsibilities : Deliver … DB Extensive working knowledge on container platform based on Kubernetes, Kafka, Redis Experience with Unix commands, shell scripting. Strong understanding of Design patterns and Architectural principles Familiarity with standard data structures and algorithms. Experience using the following tools - JIRA, Harness/uDeploy, Sonarqube, TeamCity, Artifactory, Git (GHE & Bitbucket) Logical thinking, strong analytical and problem-solving skills; innovative and … Experience: Master's degree or PHD in relevant field is desirable Experience working with the Scrum methodology Experience designing and implementing microservices Financial services technology experience preferably in reference data domain Physical and logical data modeling Education: Bachelor's degree/University degree or equivalent experience Master's degree preferred What we'll provide you By joining Citi More ❯

you'll be doing Design, develop and deploy scalable web applications and services, being part of everything from contributing to web technology and framework stack, to use case and data model design Drive architecture discussions, take ownership and responsibility over new projects, and deliver high quality software with tight timeline Partner with security and compliance teams to ensure the … We're excited if you have 5+ years of experience in delivery multi-tier, highly scalable, distributed web application Deep understanding in software architecture, object-oriented design principles, and data structures Extensive experience in developing microservices using Java, Python Experience in distributed computing frameworks like - Hive/Hadoop, Apache Spark. Good experience in Test driven development and automating … global footprint, and how we've grown, visit . By providing your information, you acknowledge that you have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms. More ❯

to design, develop, and support high quality and scalable products. Help maintain and improve code quality, organization, and automatization Create everything from mockups and UI components to algorithms and data structures as you deliver a complete minimally viable product Performance Optimization: Identify and resolve performance bottlenecks in both front-end and back-end systems. Experience with monitoring and More ❯

flexibility to work from home based on business needs. An average day: As Computer Systems Analyst I, you will support the maintenance, optimization, and oversight of an organization's data infrastructure, ensuring effective system performance and data integrity across various environments. In this position you will: Assist in monitoring, updating, and maintaining bronze, silver, and gold data … both classified and unclassified environments. Work with senior team members to optimize system performance and conduct basic troubleshooting for routine technical issues. Participate in the design and implementation of data pipelines, ensuring data flows efficiently and securely between source systems and target storage. Support the data quality process by verifying data accuracy, consistency, and completeness under … the guidance of experienced analysts. Contribute to proper access controls, helping manage user permissions and compliance with security protocols. Collaborate with cross-functional teams to enable data productization, AI/ML initiatives, and automation projects. Document processes, system configurations, and updates to maintain clear and detailed knowledge sharing resources. Assist in CI/CD pipeline activities by conducting basic More ❯

experiences and building platforms that handle the complexity of modern cruising - all while keeping things collaborative and fun. Your Mission: Are you passionate about unlocking the power of customer data? We're looking for a talented Lead Data Engineer to spearhead the design, development, and optimisation of our critical CRM and customer data transformation. You'll play … a pivotal role in building the data foundations for advanced analytics, personalised customer experiences, and effective marketing activation. As a senior member of the team, you will lead data engineers and champion best practices within our data environment. What You'll Do: Design & Build: Architect, build, test, and deploy robust, scalable, and reliable data pipelines, focusing … on ingesting and transforming CRM and customer data from various sources. Lead & Innovate: Take technical ownership of customer data integration solutions within our data platform (AWS/SQL Server). Drive improvements and implement best-in-class data engineering practices. Ensure Quality: Champion data quality and governance for customer datasets. Implement robust monitoring, validation checks More ❯

experiences and building platforms that handle the complexity of modern cruising - all while keeping things collaborative and fun. Your Mission: Are you passionate about unlocking the power of customer data? We're looking for a talented Lead Data Engineer to spearhead the design, development, and optimisation of our critical CRM and customer data transformation. You'll play … a pivotal role in building the data foundations for advanced analytics, personalised customer experiences, and effective marketing activation. As a senior member of the team, you will lead data engineers and champion best practices within our data environment. What You'll Do: Design & Build: Architect, build, test, and deploy robust, scalable, and reliable data pipelines, focusing … on ingesting and transforming CRM and customer data from various sources. Lead & Innovate: Take technical ownership of customer data integration solutions within our data platform (AWS/SQL Server). Drive improvements and implement best-in-class data engineering practices. Ensure Quality: Champion data quality and governance for customer datasets. Implement robust monitoring, validation checks More ❯

Job Title: Data & AI Engineer, Associate Manager CL8 Locations: London/Bristol/Manchester Salary: Competitive salary and package (Depending on level of experience) Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history at the point of application. Accenture is a leading global professional services … all of us.” – Julie Sweet, Accenture CEO Job Qualifications Key responsibilities Deploy machine learning models to production and implement measures to monitor their performance 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 More ❯

key member of our globally distributed agile team, you'll contribute to the design and development of the XPP product and its cloud offering using your knowledge of C, data structures, and algorithms. About Contenta RWS Contenta is part of RWS's content management platform focused on the Aerospace & Defence market. Contenta streamlines the content value chain to … publishing process and the S1000D document specification. For further information, please visit: RWS Contenta Job Overview Key Responsibilities Design and Develop: Create and enhance components with expertise in C, data structures, and algorithms. Troubleshoot and Debug: Implement solutions for complex issues. Collaborate: Work with cross-functional teams to meet business requirements. Estimate and Prioritize: Provide development sizing and … Use automated tools for high-quality software delivery. Technology Awareness: Stay informed about emerging technologies. Skills & Experience 5+ years' experience C development Strong understanding of algorithms, design patterns, and data structures, asynchrony, parallelism. Experience developing on Linux and Windows Experience in all phases of the software development process as a member of a distributed Scrum team Exceptional problem More ❯

years of experience using QlikView version 11 or higher, with proven expertise in the following areas: Good knowledge of SQL, relational databases, and Dimensional Modeling Experience working with large data sets and complex data models involving more than 10 tables Integrating data from multiple sources into QlikView Data Models, including social media content and API extensions … Use of complex QlikView functions and developing optimal scripts for solutions Optimizing Dimensional data models for performance Primary Responsibilities: Creating and providing reporting and dashboard applications using QlikView and NPrinting to facilitate better decision-making Collaborating with stakeholders to gather requirements, and translating these into system and functional specifications Creating prototypes and conducting proof of concepts with business leads … queries Installing, configuring, and maintaining QlikView environments (QlikView, QlikSense, Publisher, NPrinting) Developing complex QlikView applications using advanced functions (set analysis, section access, alternate states, loop and reduce, etc.) Extracting data from various sources (SQL Server, Oracle, Excel, Hive), designing data structures to standardize and distribute information Working with IT and security teams to implement security models Mentoring More ❯

testing strategies, and implementation plans. Work in a dynamic, fast-paced environment that offers exposure to all areas of Finance. Understand and respond to business needs, developing process workflows, data requirements, and specifications to support implementation. Build strong relationships with business partners. Identify opportunities for cross-divisional collaboration and reuse of common solutions. Engage in data modeling and … in Computer Science, Mathematics, Electrical Engineering, or a related technical discipline. 2-5 years of software development experience. Strong object-oriented or functional analysis and design skills. Knowledge of data structures, algorithms, and performance optimization. Excellent communication skills, capable of engaging with technical and business audiences globally. Problem-solving ability with data-driven decision-making skills. Ability … for problem solving and product development. Expert Knowledge in One or More of Java programming, including concurrency and memory management. Strong RDBMS knowledge. Experience developing distributed, microservices-based applications. Data modeling and curation for large-scale datasets. Cloud technologies, including AWS S3, Snowflake, etc., involved in building next-generation finance systems. Preferred Qualifications Interest or knowledge in investment banking More ❯

pipelines using Docker, Git, CI/CD methodologies, and cloud services. MarTech Innovation: Research and implement AI solutions specifically targeting marketing use cases (content generation, audience analytics, personalisation). Data Pipeline Architecture: Design robust data flows between marketing systems and AI services. Technical Leadership: Provide strategic direction, mentorship, and best practices for AI implementation across the team. Documentation … design, and cloud platforms (GCP, Azure). Skilled in containerisation and orchestration (Docker, Kubernetes), version control (Git, BitBucket), and CI/CD pipelines. Strong foundation in software design patterns, data structures, algorithms, and database technologies (SQL, NoSQL, vector databases). Preferred Qualifications Experience in MarTech, AdTech, or B2B marketing technology, with a background in marketing data and … analytics platforms. Familiarity with prompt engineering, LLM optimisation, and designing data processing pipelines (ETL). Agile development experience (Scrum, Kanban) and a track record of integrating AI into business applications. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us More ❯

Manage deployment pipelines using Docker, Git, CI/CD, and cloud services. MarTech Innovation: Research and implement AI solutions for marketing use cases like content generation, analytics, and personalisation. Data Pipeline Architecture: Design robust data flows between marketing systems and AI services. Technical Leadership: Provide strategic direction, mentorship, and best practices for AI implementation. Documentation: Create comprehensive technical … design, and cloud platforms (GCP, Azure). Skilled in containerisation and orchestration (Docker, Kubernetes), version control (Git, BitBucket), and CI/CD pipelines. Strong foundation in software design patterns, data structures, algorithms, and database technologies (SQL, NoSQL, vector databases). Preferred Qualifications Experience in MarTech, AdTech, or B2B marketing technology, with a background in marketing data and … analytics platforms. Familiarity with prompt engineering, LLM optimisation, and designing data processing pipelines (ETL). Agile development experience (Scrum, Kanban) and a track record of integrating AI into business applications. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us More ❯

BCN: BCN is a leading managed IT services provider based in the United Kingdom, specialising in delivering cutting-edge technology solutions across various sectors, including cloud computing, cybersecurity, and data management. We're proud to have a strong Glassdoor rating, a reflection of the dedication and feedback from our amazing team. Our core values of integrity, accountability, efficiency, communication … cross-functional product development team responsible for designing, building, and maintaining a market-leading Power BI custom visualisation (SaaS). This role will require a mix of technical skills, data knowledge, and an understanding of user experience design. If you are a technically capable, driven, and ambitious developer, who is passionate about solving complex problems, then this could be … Custom visuals are rendered in a browser-like environment within Power BI, requiring HTML for structure and CSS for styling. Experience of using D3.js (a powerful JavaScript library for data-driven document manipulation, commonly used to create dynamic and interactive visuals in Power BI.) Data Structures and JSON: Ability to parse and transform JSON data (e.g. More ❯

maintaining robust and scalable machine learning pipelines. This person will possess a strong background in DevOps practices, machine learning principles, and cloud computing platforms. You will work closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models, ensuring efficiency and reliability in ML operations. We hire based on personality, potential, and enthusiasm … development best practices and methodologies. Experience with version control systems (e.g., Git). Familiarity with CI/CD tools and practices. Strong problem-solving and analytical skills. Understanding of data structures and algorithms. Ability to design and develop scalable, efficient, and maintainable software systems. Experience with microservice architecture, API development. Machine Learning (ML): Deep understanding of machine learning … principles, algorithms, and techniques. Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark. Proficiency in data preprocessing, feature engineering, and model evaluation. Knowledge of ML model deployment and serving strategies, including containerization and microservices. Familiarity with ML lifecycle management, including versioning, tracking, and model monitoring. Ability to optimize and fine-tune ML models More ❯