101 to 125 of 396 Permanent Data Structures Jobs

replicate industry-standard performance metrics, ensuring alignment with market benchmarks and regulatory expectations Maintain and enhance a core suite of Management Information (MI) and Business Intelligence (BI) reports, supporting data-driven decision-making across the business Develop a deep understanding of system data structures and relationships, enabling efficient data extraction and integration across multiple platforms using … advanced query techniques Deliver accurate, high-quality reporting under tight deadlines, ensuring stakeholders receive timely and reliable insights Technical Skills & Experience Proven experience in developing reports, dashboards, and system data extracts, delivering actionable insights to support operational and strategic decision-making Advanced proficiency in corporate reporting tools, including Tableau, Excel, Alteryx, Power BI, and Databricks, with a strong ability … to design and automate data workflows Solid working knowledge of SQL, capable of writing intermediate-level queries for data extraction, transformation, and analysis Expert-level user of Microsoft Office applications, with particular strength in Excel, Word, and PowerPoint for data presentation and documentation Strong communication and stakeholder engagement skills, able to translate complex data into clear More ❯

take your career to the next level in the exciting world of finance? Our client, a leading organisation in the financial sector, is seeking a talented Microsoft SQL DBA & Data Developer to join their dynamic Data Services team. This is an incredible opportunity to make a significant impact on data environments, drive transformation, and innovate within a … supportive and flexible work culture! Position: Microsoft SQL DBA & Data Developer Contract Type: Permanent Annual Salary: £45,000 - £52,000 Working Pattern: Full Time Location: Leicester/Hybrid Working Available Job Purpose: As a Microsoft DBA & Data Developer, this role will be 70 percent DBA and 30 percnet Development. You will be at the heart of maintaining and … evolving my client's data environments, both traditional MS SQL Server and cutting-edge Azure Data Services. You'll manage system security, support data delivery projects, and engage in transformative initiatives that shape the future of data. Key Responsibilities: Oversee daily management and maintenance of data systems. Ensure robust data system security and patching. Support More ❯

if you would like to help us prevent crime and protect the world's biggest online businesses. The Team You will be joining the Detection team, a team of data scientists and machine learning engineers. The Detection team is responsible for keeping fraud rates low - and clients happy - by continuously training and deploying machine learning models. We aim to … error-free as code deployments. Google's Best Practices for ML Engineering is our bible. Our models are trained to spot multiple types of fraud, using a variety of data sources and techniques in real time. The prediction pipelines are under strict SLAs; every prediction must be returned in under 300ms. When models are not performing as expected, it … s down to the Detection team to investigate why. The Detection team is core to Ravelin's success. They work in a deeply collaborative partnership with the Data Engineering team to design the data architecture and infrastructure that powers our ML systems. The Role We are looking for a Senior Machine Learning Engineer to join our Detection team. More ❯

Senior Software Engineer - Feeds AMER Location New York Business Area Engineering and CTO Ref # Description & Requirements Our Organization Real time market data and news is at the core of Bloomberg's business. Our feed handlers directly consume real time market data from over 300 exchanges and financial institutions around the world and translate it into normalized streams … to the tune of nearly 700 billion ticks per day. The data Feeds provide is consumed by applications across the Bloomberg platform and ultimately used by clients making the decisions that drive financial markets. Our mission is to deliver the most comprehensive, resilient, and timely market data and news solution to our financial customers. Our core values of … We run mainly on Linux, and we have a lot of interesting initiatives that we need to execute on. Our Teams Feeds AMER & News services consume real time market data and news from over 80 exchanges and hundreds of other sources including news agencies, central banks, and social media platforms, each publishing data using different protocols and specifications. More ❯

if you would like to help us prevent crime and protect the world's biggest online businesses. The Team You will be joining the Detection team, a team of data scientists and machine learning engineers. The Detection team is responsible for keeping fraud rates low - and clients happy - by continuously training and deploying machine learning models. We aim to … error-free as code deployments. Google's Best Practices for ML Engineering is our bible. Our models are trained to spot multiple types of fraud, using a variety of data sources and techniques in real time. The prediction pipelines are under strict SLAs; every prediction must be returned in under 300ms. When models are not performing as expected, it … s down to the Detection team to investigate why. The Detection team is core to Ravelin's success. They work in a deeply collaborative partnership with the Data Engineering team to design the data architecture and infrastructure that powers our ML systems. This close alignment ensures our models are built on a foundation of high-quality, reliable, and More ❯

Senior Software Engineer - Data & API Infrastructure Location New York Business Area Engineering and CTO Ref # Description & Requirements The Enterprise Product Platform (EPP) is the infrastructure layer behind Bloomberg's enterprise products. We build the data access and API platforms that power everything from trading workflows to risk and compliance systems. If you're interested in l arge … high-performance APIs used by some of the most sophisticated financial institutions in the world - this is where it all comes together. Our organization includes two major platform areas: Data Access Platform We serve as the foundation for making billions of financial data points - both raw and derived - accessible to enterprise systems across Bloomberg. This includes sanitizing , validating … and exposing high-quality data to internal applications with extremely low latency and high throughput . We own ingestion pipelines, caching layers, access APIs, and short-term data storage systems. We are working toward a unified customer experience across all enterprise verticals, ensuring consistency and scalability as a core value proposition for the next decade of Bloomberg's More ❯

Senior Software Engineer, Pricing and Derived Data Senior Software Engineer, Pricing and Derived Data Job Location London Employment type Regular Department Technology Targeted Start Date Immediate DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability … DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are looking to hire a Senior Software Engineer into the Pricing and Derived Data team. We are responsible for building foundational APIs and data services to price all products and related products that the firm may trade, using market and derived data. … the firm. Our systems are used across the organisation by Trading Desk leads, Global Risk Management, and Senior Leadership. We collect, transform, aggregate and disseminate pricing and related derived data, such as: Commodity Price and Yield Curves - Mark-to-market, and Mark-to-model settlement prices Option sensitivities ('greeks') and fixed-income sensitivities like DV01s and BPVs. Proprietary pricing More ❯

building enterprise-level applications Extensive professional knowledge, experience, and understanding of at least one modern programming language, such Java, Scala, and Go. Extensive experience with software engineering principles, including data structures, algorithms, and design patterns. Hands-on experience with cloud technologies (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Excellent communication skills, both written and verbal. Preferred technical … create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and … at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging More ❯

sites, and sponsors of clinical trials. The Clinical Innovation team includes our digital biomarker (DBM) team which focuses on establishing and executing digital biomarker programs that generate health-related data through digital health technologies (DHTs), provide valuable insights into patients' conditions, and aid in improving the clinical trial experience. The DBM Innovation Lab is the newest capability within the … team, established to accelerate adoption of DBMs as trial endpoints, and maximize probability of success for implementation. In this role, you will design and lead early data generation and device evaluation programs to foster high-confidence, high-value DBM implementation in Sanofi trials. This position is ideal for someone with strong technical skills, hands-on laboratory or experimental experience … and passion for applying digital technologies to healthcare challenges. Key Responsibilities Combine your technical expertise with cross-functional collaboration skills to lead study design, execution, data analysis, and insight generation Manage end-to-end development of proof-of-concept studies that test devices, explore new measures, and generate novel datasets for analysis Work with the broader DBM team and More ❯

sites, and sponsors of clinical trials. The Clinical Innovation team includes our digital biomarker (DBM) team which focuses on establishing and executing digital biomarker programs that generate health-related data through digital health technologies (DHTs), provide valuable insights into patients' conditions, and aid in improving the clinical trial experience. The DBM Innovation Lab is the newest capability within the … team, established to accelerate adoption of DBMs as trial endpoints, and maximize probability of success for implementation. In this role, you will design and lead early data generation and device evaluation programs to foster high-confidence, high-value DBM implementation in Sanofi trials. This position is ideal for someone with strong technical skills, hands-on laboratory or experimental experience … and passion for applying digital technologies to healthcare challenges. Key Responsibilities Combine your technical expertise with cross-functional collaboration skills to lead study design, execution, data analysis, and insight generation Manage end-to-end development of proof-of-concept studies that test devices, explore new measures, and generate novel datasets for analysis Work with the broader DBM team and More ❯

shape the future of real estate technology. Role Responsibilities Architect, build, and optimise scalable ETL pipelines for diverse datasets. Onboard, document, and curate external datasets for internal use. Perform data validation, forensic analysis, and troubleshooting. Deliver high-quality, maintainable Python code and participate in peer reviews. Collaborate with stakeholders and researchers to support analytics and product development. Integrate data from APIs, S3 buckets, and structured/unstructured sources (JSON, CSV, Excel, PDF, Parquet). Join geospatial datasets with external data sources and apply complex transformations. Define validated data schemas and create clear documentation for partners and teams. Explore and evaluate new data engineering tools and technologies. Role Requirements 5+ years' experience in data engineering … analytics, or related roles. Strong proficiency in Python, with demonstrated experience on large-scale projects. Solid understanding of algorithms, data structures, and relational databases. Experience with test-driven development and Git version control. Portfolio of past work (GitHub contributions, open-source, blogs, or demos). Knowledge of data cleansing, validation, and basic statistics. Background in working with More ❯

shape the future of real estate technology. Role Responsibilities Architect, build, and optimise scalable ETL pipelines for diverse datasets. Onboard, document, and curate external datasets for internal use. Perform data validation, forensic analysis, and troubleshooting. Deliver high-quality, maintainable Python code and participate in peer reviews. Collaborate with stakeholders and researchers to support analytics and product development. Integrate data from APIs, S3 buckets, and structured/unstructured sources (JSON, CSV, Excel, PDF, Parquet). Join geospatial datasets with external data sources and apply complex transformations. Define validated data schemas and create clear documentation for partners and teams. Explore and evaluate new data engineering tools and technologies. Role Requirements 5+ years' experience in data engineering … analytics, or related roles. Strong proficiency in Python, with demonstrated experience on large-scale projects. Solid understanding of algorithms, data structures, and relational databases. Experience with test-driven development and Git version control. Portfolio of past work (GitHub contributions, open-source, blogs, or demos). Knowledge of data cleansing, validation, and basic statistics. Background in working with More ❯

process and equipment in the field Respond to issues in the field regarding equipment or customer processes and communicate with domestic and international design teams for successful resolution. Analyze data, identify causes and provide solutions with other application engineers as well as the field service team. Discuss and negotiate with customers about semiconductor product specifications and testing implementation and … process and equipment in the field Respond to issues in the field regarding equipment or customer processes and communicate with domestic and international design teams for successful resolution. Analyze data, identify causes and provide solutions with other application engineers as well as the field service team. Discuss and negotiate with customers about semiconductor product specifications and testing implementation and … skills (Japanese/English) are a plus Experience with semiconductor processes especially lithography systems. Experience with related semiconductor equipment such as SEM's or metrology systems. Solid understanding in data structures and data analysis. Strong problem-solving experiences and skills. Strong knowledge of Microsoft Excel, PowerPoint, Word. Overnight travel required. Will require travel (specify domestic and/ More ❯

Where Data Does More. Join the Snowflake team. Running Snowflake in public sectors in different countries and regions, even in different industry verticals, requires us to build a compliant, secure, and auditable infrastructure. Many key design decisions are deeply rooted in the Snowflake product architecture. As a Forward Deployed Software Engineer, you will be responsible for leading several key … be successful in the area, you will need to have (and continue to build) a broad and in-depth knowledge base on cloud infrastructure, privacy, and governance, compliance controls, data security and data residency in various aspects of Snowflake. AS A FORWARD DEPLOYED SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL: Solve real business needs at large scale by applying … recent experience in deploying at public sector customers In-depth experience with storage systems, cloud infrastructure and IaC tools such as Terraform or Pulumi etc. Strong CS fundamentals including data structures, algorithms, and distributed systems In-depth development skills in Java, C++, Golang or Python Experience with database systems and database internals Experience with public cloud platforms such More ❯

seeking a talented and driven Quantitative Developer to join our team, working directly with Equity Portfolio Managers. This role will focus on developing and optimizing quantitative models, tools, and data pipelines to assist portfolio managers in making informed investment decisions. The ideal candidate will be proficient in Python and have experience working with data structures like Pandas … to enhance portfolio analysis, risk management, and trading strategies. Design, implement, and optimize quantitative models to analyze large datasets and derive actionable insights for equity portfolios. Build and maintain data pipelines, ensuring data accuracy, reliability, and scalability. Use Python (and related libraries such as Pandas, NumPy, etc.) to develop and automate tasks, backtest strategies, and optimize performance. Work … with portfolio managers to create tools for portfolio construction, risk analysis, and scenario modeling. Ensure seamless integration of various data sources, both internal and external, into the development environment. Troubleshoot and resolve technical issues as they arise, ensuring that code is clean, well-documented, and performs efficiently. Contribute to continuous improvement and innovation in quantitative models and portfolio management More ❯

seeking a talented and driven Quantitative Developer to join our team, working directly with Equity Portfolio Managers. This role will focus on developing and optimizing quantitative models, tools, and data pipelines to assist portfolio managers in making informed investment decisions. The ideal candidate will be proficient in Python and have experience working with data structures like Pandas … to enhance portfolio analysis, risk management, and trading strategies. Design, implement, and optimize quantitative models to analyze large datasets and derive actionable insights for equity portfolios. Build and maintain data pipelines, ensuring data accuracy, reliability, and scalability. Use Python (and related libraries such as Pandas, NumPy, etc.) to develop and automate tasks, backtest strategies, and optimize performance. Work … with portfolio managers to create tools for portfolio construction, risk analysis, and scenario modeling. Ensure seamless integration of various data sources, both internal and external, into the development environment. Troubleshoot and resolve technical issues as they arise, ensuring that code is clean, well-documented, and performs efficiently. Contribute to continuous improvement and innovation in quantitative models and portfolio management More ❯

London, England, United Kingdom Software and Services Description The Apple Services Engineering - Music Data Engineering team is responsible for collecting, analyzing, and reporting on insights on how Apple's customers engage with our Apple Music product. To achieve this, we're developing data processing and analytics applications operating at true cloud scale. You will be working on a … solutions to problems. The ideal candidate pays close attention to details, but also keeps sight of the bigger picture. Minimum Qualifications Strong understanding of foundational computer science algorithms and data structures Experience building API services with a JVM based language - Java, Scala or Kotlin Conceptual understanding of SQL with a view to becoming an expert BS degree in … Computer Science or meaningful relevant work experience Preferred Qualifications Experience with large scale data platform infrastructure such as Spark, Flink, HDFS, AWS/S3, Parquet, Kubernetes is a plus More ❯

cases; provide support as needed to maintain and update models running in production environment; develop and maintain complex ETL processes and algorithms; own and enhance ETL processes to move data from PMS to cloud databases; monitor and troubleshoot ETL processes on a daily basis; proactively and independently identify performance issues and recommend enhancements; modernize legacy data models and … solutions. 40% telecommuting permitted. Minimum Qualifications: Must have a Bachelor of Science degree in Computer Science, Information Systems Security, or Computer Engineering and 5 years of experience as a Data Engineer, Software Engineer, or substantially similar position. Alternatively, must have a Master of Science degree in Computer Science, Information Systems Security, or Computer Engineering and 3 years of post … baccalaureate experience as a Data Engineer, Software Engineer, or substantially similar position. Special Skills Required: Must have at least 3 years of experience with all of the following: perform design, development and maintenance work in databases using SQL; extract information, validate data, and create and maintain custom data structures; and utilize Python for ETL. Must have More ❯

Improving workflow efficiencies and governance through the systemization and automation of financial metrics and associated limits. 2. Accelerating the adoption of Cloud and Core Engineering solutions. 3. Establishing positions data quality, accountability and lineage. 4. Developing unified data models across assessment platforms and ensure they meet regulatory and internal Risk & Compliance management requirements. 5. Support the development of … analytic calculations and data transformations. WHAT WE LOOK FOR The divisions have a large footprint of software applications to ensure the firm complies with the controls set forth in its policies and risk appetite, meet its regulatory obligations, and to protect the firm's reputation. To meet the demand of the business, drive by the size and complexity of … the entire firm, the candidate will have the mandate to continuously increase the level of automation and to modernize and consolidate our software stacks. In addition, data is at the center of what we do. The successful candidate will have demonstrated experiences in and a passion for solving critical problems related to data quality, warehousing, and analytics. HOW More ❯

certification SuccessFactors to Workday Migration Lead Consultant (12+ Years Experience) Role Overview The SuccessFactors to Workday Migration Lead Consultant will oversee the end-to-end migration of HR processes, data, and configurations from SAP SuccessFactors to Workday. This senior role involves leading the migration strategy, and ensuring successful delivery of the project within defined timelines and quality standards. The … including risk assessment and mitigation plans. Collaborate with HR and IT leadership to align migration goals with organizational needs. Identify and prioritize critical SuccessFactors functionalities for migration to Workday. Data Migration ExecutionExtraction, transformation, and loading (ETL) of data from SuccessFactors to Workday. Validate migrated data to ensure accuracy and completeness. Required Skills & Qualifications Experience:9-12 years … of experience in HRIS implementation, migration, or consulting roles. Extensive experience in leading SAP SuccessFactors to Workday migration projects. Technical Expertise:Deep knowledge of both SuccessFactors platform Proficiency in data migration tools (e.g., SF CPI etc.,). Expertise in HR data structures, workflows, and reporting. Certifications:SuccessFactors certification is highly desirable. Preferred Qualifications Experience in managing global More ❯

manipulation and format conversion YOLO object detection frameworks Core Python Skills Proficiency in Python 3.9+ with understanding of object-oriented programming, decorators, context managers, and async/await patterns Data structures and algorithms for efficient data processing and model optimization Error handling and debugging using try-catch blocks, logging, and debugging tools Data Processing Pandas and … NumPy for data manipulation, cleaning, and numerical operations SQLAlchemy or psycopg2 for database connectivity and ORM operations Boto3 for AWS service integration and automation AWS (working within Technical Lead's architecture) Lambda function development with proper event handling and response formatting S3 operations including multipart uploads, presigned URLs, and event notifications CloudWatch logging and metrics for monitoring and debugging …/ML Technologies Custom model architecture design and implementation Advanced fine-tuning techniques including LoRA, QLoRA, and parameter-efficient methods Multi-modal AI systems combining text, image, and structured data Reinforcement Learning from Human Feedback (RLHF) for model alignment Production ML Systems Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management Model versioning and experiment tracking More ❯

other source control and CI/CD technologies. Knowledge and the ability to automate test cases using Selenium, Cucumber, Robot Framework, and other automation tools is desired. Knowledge of data structures, which consist of data organization, management, and storage formats that enable efficient access and modifications. This includes a collection of data values, the relationships among 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 ❯

including employee compliance, recruitment, learning and development, time management, and payroll. The successful candidate will collaborate closely with the wider project team to define HR system requirements, ensure accurate data management, and drive process improvements that align with organisational goals. Key Responsibilities Clean, transform, and validate HR data to ensure accuracy, consistency, and integrity. Collaborate with HR stakeholders … to define system requirements and support customisation. Prepare scope documents to meet HR requirements and assist with go-live processes. Design and implement HR system reports to meet data reporting and regulatory needs. Provide data-driven insights to support HR strategy and decision-making. Monitor and resolve HR data anomalies, outliers, and quality issues. Support HR system … updates, integrations, and process automation. Contribute to HR project initiatives, including system implementations and process improvements. Ensure compliance with data privacy, audits, and regulatory reporting standards. Deliver training and guidance to HR stakeholders to maximise system utilisation. Continuously identify opportunities for process efficiency and automation. Skills & Experience Proven experience in a HR environment with strong expertise in HR systems. More ❯

additional compensation including bonuses. Requires a Bachelors degree in Computer Science, Computer Engineering, or a related field, and 2 years of software engineering experience. Experience must include: large-scale data infrastructure and distributed systems; AI/ML-driven data processing and analytics; data structures, algorithms, multi-threaded and asynchronous patterns, and their application in scalable systems More ❯