KDB Developer Hybrid - London Contract Hayward Hawk are currently recruiting for a KDB Developer for their global consultancy client. The successful candidate will be responsible for designing, developing, and maintaining KDB databases, as well as creating and optimizing Real Time data analytics solutions. You will work closely with the technology team to enhance our data management systems, ensure data accuracy and integrity, and help us make data-driven decisions. Key Responsibilities: Design and develop KDB databases and data processing systems to support Real Time data analysis and reporting. Optimize database performance, troubleshoot issues, and implement improvements as needed. Collaborate with data analysts and other teams to understand data requirements and develop efficient data retrieval processes. Write and maintain KDB Q scripts, ensuring code is well-documented and follows best practices. Monitor data quality and accuracy, implementing data validation and cleansing processes. Develop and maintain data pipelines and integration with various data sources and systems. Stay up-to-date with industry best practices and new technologies to ensure our data management systems remain cutting-edge. Collaborate with other developers and technology professionals to drive projects to successful completion. Participate in code reviews and share your knowledge with team members. Provide production support as needed, including resolving any database-related issues and ensuring system availability. Qualifications: 3-5 years of hands-on experience with KDB/Q development. Strong proficiency in Q programming language. Experience with Real Time data analysis and financial systems (preferred). Knowledge of database design principles, performance optimization, and data modelling. Familiarity with data integration, ETL processes, and data warehousing. Excellent problem-solving skills and the ability to work effectively in a fast-paced environment. Strong communication and teamwork skills. A proactive and self-motivated approach to work. Familiarity with financial markets and trading data would be advantageous
03/05/2024
Project-based
KDB Developer Hybrid - London Contract Hayward Hawk are currently recruiting for a KDB Developer for their global consultancy client. The successful candidate will be responsible for designing, developing, and maintaining KDB databases, as well as creating and optimizing Real Time data analytics solutions. You will work closely with the technology team to enhance our data management systems, ensure data accuracy and integrity, and help us make data-driven decisions. Key Responsibilities: Design and develop KDB databases and data processing systems to support Real Time data analysis and reporting. Optimize database performance, troubleshoot issues, and implement improvements as needed. Collaborate with data analysts and other teams to understand data requirements and develop efficient data retrieval processes. Write and maintain KDB Q scripts, ensuring code is well-documented and follows best practices. Monitor data quality and accuracy, implementing data validation and cleansing processes. Develop and maintain data pipelines and integration with various data sources and systems. Stay up-to-date with industry best practices and new technologies to ensure our data management systems remain cutting-edge. Collaborate with other developers and technology professionals to drive projects to successful completion. Participate in code reviews and share your knowledge with team members. Provide production support as needed, including resolving any database-related issues and ensuring system availability. Qualifications: 3-5 years of hands-on experience with KDB/Q development. Strong proficiency in Q programming language. Experience with Real Time data analysis and financial systems (preferred). Knowledge of database design principles, performance optimization, and data modelling. Familiarity with data integration, ETL processes, and data warehousing. Excellent problem-solving skills and the ability to work effectively in a fast-paced environment. Strong communication and teamwork skills. A proactive and self-motivated approach to work. Familiarity with financial markets and trading data would be advantageous
NO SPONSORSHIP Company is located in Chicago - Can be hybrid or remote if needed Contract to Hire role Data Quality Test Engineer This can be a straight contract role or a contract to hire role. The Test Engineer will be responsible for ensuring the successful implementation of new features as well as improvement of existing functionality for data architecture projects. This includes Integration testing, Customer Data Quality testing, Data verification testing, Regression testing etc. This is a hands-on testing position which requires deep knowledge and understanding of all aspects of developing and executing Back End testing. The Test Engineer must be an advocate for all things Testing and Quality Assurance while driving and implementing best practices. The ideal candidate must possess strong analytical and critical thinking abilities. Data testing skills are required. Position Requirements Bachelor's degree At least 3-5 years of testing experience in data Strong experience with writing queries in relational databases like Oracle and SQL server. Familiar with SQL server queries including calling stored procedures by passing parameters, functions, views, and indexes to be used during ETL process. Possess extensive and in-depth knowledge of developing SQL scripts using SQL functions, grouping operations, sub queries, analytical function and joins to test ETL projects. ETL testing using SQL server Integration Services (SSIS) and SSRS. Experience in testing database applications to validate source to destination data movement and transformation. Knowledge of automated data testing is preferred. Hands-on experience in Planning and Manual test execution. Experience in Regression Test Strategies, Regression suite maintenance and execution. Hands-on experience with Jira, ALM, TFS/ADO or similar systems of record. Understanding of Development and Test cycles, including respective best practices. Hands-on experience in Agile and Waterfall methodologies. Ability to troubleshoot issues, identifying root causes and support development team in development of resolutions. Strong communication and Client/Business interfacing and interpersonal skills are a must.
02/05/2024
NO SPONSORSHIP Company is located in Chicago - Can be hybrid or remote if needed Contract to Hire role Data Quality Test Engineer This can be a straight contract role or a contract to hire role. The Test Engineer will be responsible for ensuring the successful implementation of new features as well as improvement of existing functionality for data architecture projects. This includes Integration testing, Customer Data Quality testing, Data verification testing, Regression testing etc. This is a hands-on testing position which requires deep knowledge and understanding of all aspects of developing and executing Back End testing. The Test Engineer must be an advocate for all things Testing and Quality Assurance while driving and implementing best practices. The ideal candidate must possess strong analytical and critical thinking abilities. Data testing skills are required. Position Requirements Bachelor's degree At least 3-5 years of testing experience in data Strong experience with writing queries in relational databases like Oracle and SQL server. Familiar with SQL server queries including calling stored procedures by passing parameters, functions, views, and indexes to be used during ETL process. Possess extensive and in-depth knowledge of developing SQL scripts using SQL functions, grouping operations, sub queries, analytical function and joins to test ETL projects. ETL testing using SQL server Integration Services (SSIS) and SSRS. Experience in testing database applications to validate source to destination data movement and transformation. Knowledge of automated data testing is preferred. Hands-on experience in Planning and Manual test execution. Experience in Regression Test Strategies, Regression suite maintenance and execution. Hands-on experience with Jira, ALM, TFS/ADO or similar systems of record. Understanding of Development and Test cycles, including respective best practices. Hands-on experience in Agile and Waterfall methodologies. Ability to troubleshoot issues, identifying root causes and support development team in development of resolutions. Strong communication and Client/Business interfacing and interpersonal skills are a must.
*We are unable to sponsor for this role* *At the minimum year-long contract* A prestigious company is on the search for a Data Quality Test Engineer. The Test Engineer will be responsible for ensuring the successful implementation of new features as well as improvement of existing functionality for data architecture projects. This includes Integration testing, Customer Data Quality testing, Data verification testing, Regression testing etc. Responsibilities Review business requirements, functional specifications, use cases, design, and architecture documents to create effective, value-add test plans. Identify and close gaps, by assisting in QA discovery or analysis of a built or process, in order to facilitate requirements refinements. Identify issues in data, application configurations and screen designs, report and oversee issue resolution. Plan and execute Manual, Functional, and Regression test suite. Independently develop, modify, and execute test plans based on requirements and design documents. Identify, report and track defects and User Experience issues through a system of record. Collaborate with external teams on root cause analysis. Ensuring proper traceability from requirements to test artifacts. Actively participate in requirements and code reviews. Actively participate and drive improvements in Agile Scrum delivery. Be a thought leader in the test design and execution arena (manual and automated). Creation and input of test data, either manually or by using tools, programs, or masked production data to execute test cases. Qualifications: Bachelor's degree in Computer Science or related area. At least 3-5 years of testing experience in data or ETL projects. Strong experience with writing queries in relational databases like Oracle and SQL server. Familiar with SQL server queries including calling stored procedures by passing parameters, functions, views, and indexes to be used during ETL process. Possess extensive and in-depth knowledge of developing SQL scripts using SQL functions, grouping operations, sub queries, analytical function and joins to test ETL projects. ETL testing using SQL server Integration Services (SSIS) and SSRS. Experience in testing database applications to validate source to destination data movement and transformation. Knowledge of automated data testing is preferred. Hands-on experience in Planning and Manual test execution. Experience in Regression Test Strategies, Regression suite maintenance and execution. Hands-on experience with Jira, ALM, TFS/ADO or similar systems of record. Hands-on experience in Agile and Waterfall methodologies.
02/05/2024
Project-based
*We are unable to sponsor for this role* *At the minimum year-long contract* A prestigious company is on the search for a Data Quality Test Engineer. The Test Engineer will be responsible for ensuring the successful implementation of new features as well as improvement of existing functionality for data architecture projects. This includes Integration testing, Customer Data Quality testing, Data verification testing, Regression testing etc. Responsibilities Review business requirements, functional specifications, use cases, design, and architecture documents to create effective, value-add test plans. Identify and close gaps, by assisting in QA discovery or analysis of a built or process, in order to facilitate requirements refinements. Identify issues in data, application configurations and screen designs, report and oversee issue resolution. Plan and execute Manual, Functional, and Regression test suite. Independently develop, modify, and execute test plans based on requirements and design documents. Identify, report and track defects and User Experience issues through a system of record. Collaborate with external teams on root cause analysis. Ensuring proper traceability from requirements to test artifacts. Actively participate in requirements and code reviews. Actively participate and drive improvements in Agile Scrum delivery. Be a thought leader in the test design and execution arena (manual and automated). Creation and input of test data, either manually or by using tools, programs, or masked production data to execute test cases. Qualifications: Bachelor's degree in Computer Science or related area. At least 3-5 years of testing experience in data or ETL projects. Strong experience with writing queries in relational databases like Oracle and SQL server. Familiar with SQL server queries including calling stored procedures by passing parameters, functions, views, and indexes to be used during ETL process. Possess extensive and in-depth knowledge of developing SQL scripts using SQL functions, grouping operations, sub queries, analytical function and joins to test ETL projects. ETL testing using SQL server Integration Services (SSIS) and SSRS. Experience in testing database applications to validate source to destination data movement and transformation. Knowledge of automated data testing is preferred. Hands-on experience in Planning and Manual test execution. Experience in Regression Test Strategies, Regression suite maintenance and execution. Hands-on experience with Jira, ALM, TFS/ADO or similar systems of record. Hands-on experience in Agile and Waterfall methodologies.
50% onsite in Brussels, 50% WFH. Strong written and spoken communication skills in English and proficiency in French or Dutch are a bonus. Are you a data Engineer looking for a new challenge? Our client based in Brussels embraces the flexibility of a hybrid working model, with an expectation of 50% on-site and 50% remote work. As a Data Engineer, you will be supporting the data team in preparing and securing data for various uses like reporting, analytics, and applications and will have a focus on IT Production activities related to data pipelines. Key Responsibilities: Design and implement the data model on the datalake. Analyse the best sources of data and define business and technical rules for integration. Prototype solutions for business validation in collaboration with IT delivery data engineers. Work with IT Delivery to automate data feeding and delivery from data warehouses, data marts, and datasets. You'll also be responsible for pushing these pipelines to production. Streamline data pipelines across the enterprise for maximum usage. Operate and maintain the ETL environment and file transfer and be responsible for all changes made in pre-production and production environments. Experience and Knowledge: A minimum of 3 years of relevant experience in Data Analytics Technical experience in Python, Oracle, MS SQL, HDFS, Hive, DWH, and ETL is essential. Familiarity with IBM Datastage, Informatica suite, BI reporting tools, and cloud technologies. Team player, Proactive and self-motivated with the ability to work in a dynamic and multicultural environment. If you are eager to take on this challenge and meet the above criteria, apply or now or drop me a message.
02/05/2024
Project-based
50% onsite in Brussels, 50% WFH. Strong written and spoken communication skills in English and proficiency in French or Dutch are a bonus. Are you a data Engineer looking for a new challenge? Our client based in Brussels embraces the flexibility of a hybrid working model, with an expectation of 50% on-site and 50% remote work. As a Data Engineer, you will be supporting the data team in preparing and securing data for various uses like reporting, analytics, and applications and will have a focus on IT Production activities related to data pipelines. Key Responsibilities: Design and implement the data model on the datalake. Analyse the best sources of data and define business and technical rules for integration. Prototype solutions for business validation in collaboration with IT delivery data engineers. Work with IT Delivery to automate data feeding and delivery from data warehouses, data marts, and datasets. You'll also be responsible for pushing these pipelines to production. Streamline data pipelines across the enterprise for maximum usage. Operate and maintain the ETL environment and file transfer and be responsible for all changes made in pre-production and production environments. Experience and Knowledge: A minimum of 3 years of relevant experience in Data Analytics Technical experience in Python, Oracle, MS SQL, HDFS, Hive, DWH, and ETL is essential. Familiarity with IBM Datastage, Informatica suite, BI reporting tools, and cloud technologies. Team player, Proactive and self-motivated with the ability to work in a dynamic and multicultural environment. If you are eager to take on this challenge and meet the above criteria, apply or now or drop me a message.
Principal AI Product Lead £80K - £130K Hyrbid/Bristol/Swindon A leading SaaS Platform provider are looking for an AI Product "guru" to help them establish an AI function and integrate AI solutions into their internal and external platforms. You will have the opportunity to run a small, dedicated AI function and will be given full autonomy to define AI within their business. You MUST have broad knowledge of AI, with experience developing solutions and integrating with platforms. Desired Experience: Considerable experience as an AI Consultant, or in an AI Focused role where you have shown an understanding of business and technology. Experience in developing AI solutions within start-up or dynamic industry environments. Hands-on experience with cloud-based AI and ML solutions. Knowledge of generative AI-centric applications and embedding models. Familiarity with ML Ops and DevOps practices. An awareness of programming languages such as Python and C#. Experience with Big Data technologies, ETL processes, and distributed computing frameworks like Kubernetes. Responsibilities: Shape the strategic direction of AI implementation across 30+ initiatives. Drive AI adoption on internal services. Develop technical integration strategy for the product suite. Develop a "big data" solution across products. Define internal and external technical API strategy. Work with the AI team to enhance existing product set with contemporary technologies. Design, develop, and implement AI solutions. Integrate AI solutions with client data, APIs, and production systems. Conduct data analysis and design machine learning models. Utilise modern ML and AI libraries and frameworks. Deliver reliable solutions collaboratively.
01/05/2024
Full time
Principal AI Product Lead £80K - £130K Hyrbid/Bristol/Swindon A leading SaaS Platform provider are looking for an AI Product "guru" to help them establish an AI function and integrate AI solutions into their internal and external platforms. You will have the opportunity to run a small, dedicated AI function and will be given full autonomy to define AI within their business. You MUST have broad knowledge of AI, with experience developing solutions and integrating with platforms. Desired Experience: Considerable experience as an AI Consultant, or in an AI Focused role where you have shown an understanding of business and technology. Experience in developing AI solutions within start-up or dynamic industry environments. Hands-on experience with cloud-based AI and ML solutions. Knowledge of generative AI-centric applications and embedding models. Familiarity with ML Ops and DevOps practices. An awareness of programming languages such as Python and C#. Experience with Big Data technologies, ETL processes, and distributed computing frameworks like Kubernetes. Responsibilities: Shape the strategic direction of AI implementation across 30+ initiatives. Drive AI adoption on internal services. Develop technical integration strategy for the product suite. Develop a "big data" solution across products. Define internal and external technical API strategy. Work with the AI team to enhance existing product set with contemporary technologies. Design, develop, and implement AI solutions. Integrate AI solutions with client data, APIs, and production systems. Conduct data analysis and design machine learning models. Utilise modern ML and AI libraries and frameworks. Deliver reliable solutions collaboratively.
Master Data Management (MDM) Specialist, Barcelona, Spain Our client - global healthcare company is looking for Master Data Management (MDM) Specialist. Your role encompasses guiding the implementation and optimisation of Informatica MDM solutions, specifically C360 and P360. You'll actively configure and develop business solutions using Informatica MDM technologies, collaborating closely with both business stakeholders and technical teams to address master data management requirements and challenges. Responsibilities: Develop, test, and deploy MDM Applications, Data Sets, and scripts, while also conducting detailed analytics. Implement comprehensive Master Data Management solutions, covering aspects such as data cleansing, ingestion pipelines, workflow processes, de-duplication, and standardization. Participate actively in business requirement reviews, data modelling, loading, and extraction activities. Conduct data quality analysis on complex datasets, collaborating directly with business stakeholders to lead design and development efforts. Implement data governance policies, develop data models, and design ETL flows for MDM Solutions. Support ongoing MDM Solutions, offering expertise in data governance, implementing row-level securities, and configuring gateways. Conduct Data Quality Analysis across heterogeneous source systems, including functions like data profiling, mastering, and MDM hub configurations. Develop and implement dashboards and reports. Collaborate with Information Architects to enhance Information Architecture policies across the organization and develop best practices for MDM solutions. Skills: Minimum 3 - 5 years of hands-on experience in MDM project, preferably with Informatica MDM Customer 360, MDM Product 360, or Multidomain MDM. Technical expertise in Informatica SaaS MDM/Informatica Multi-domain MDM and IICS (Informatica Intelligent Cloud Services). Proven experience in designing and implementing MDM solutions, data models, and hierarchies, with at least 2 full life cycle experiences in MDM/DG projects. Familiarity with Data consolidation/ETL, Data Quality, Data Enrichment (D&B), Data Security, Data Governance. Knowledge of industry best practices in enterprise MDM, governance, and solution integration is desirable, along with certifications in Microsoft PowerBI and other relevant tools.
30/04/2024
Full time
Master Data Management (MDM) Specialist, Barcelona, Spain Our client - global healthcare company is looking for Master Data Management (MDM) Specialist. Your role encompasses guiding the implementation and optimisation of Informatica MDM solutions, specifically C360 and P360. You'll actively configure and develop business solutions using Informatica MDM technologies, collaborating closely with both business stakeholders and technical teams to address master data management requirements and challenges. Responsibilities: Develop, test, and deploy MDM Applications, Data Sets, and scripts, while also conducting detailed analytics. Implement comprehensive Master Data Management solutions, covering aspects such as data cleansing, ingestion pipelines, workflow processes, de-duplication, and standardization. Participate actively in business requirement reviews, data modelling, loading, and extraction activities. Conduct data quality analysis on complex datasets, collaborating directly with business stakeholders to lead design and development efforts. Implement data governance policies, develop data models, and design ETL flows for MDM Solutions. Support ongoing MDM Solutions, offering expertise in data governance, implementing row-level securities, and configuring gateways. Conduct Data Quality Analysis across heterogeneous source systems, including functions like data profiling, mastering, and MDM hub configurations. Develop and implement dashboards and reports. Collaborate with Information Architects to enhance Information Architecture policies across the organization and develop best practices for MDM solutions. Skills: Minimum 3 - 5 years of hands-on experience in MDM project, preferably with Informatica MDM Customer 360, MDM Product 360, or Multidomain MDM. Technical expertise in Informatica SaaS MDM/Informatica Multi-domain MDM and IICS (Informatica Intelligent Cloud Services). Proven experience in designing and implementing MDM solutions, data models, and hierarchies, with at least 2 full life cycle experiences in MDM/DG projects. Familiarity with Data consolidation/ETL, Data Quality, Data Enrichment (D&B), Data Security, Data Governance. Knowledge of industry best practices in enterprise MDM, governance, and solution integration is desirable, along with certifications in Microsoft PowerBI and other relevant tools.