highly skilled Business Intelligence Analyst & Data Scientist to join their dynamic team. The successful successful candidate will be responsible for managing data retrieval and analysis within the organization and organizing data flow, communicating between senior management and the IT department, and analyzing data to determine sources including company data, public information, and purchased sources. Write data collection and processing processing procedures (in SQL). Ensure that data is correctly gathered, stored, and reported. Report on key
a Master Data Specialist to ensure the accuracy, consistency, and integrity of master data across various degree in computer science, Information Systems, Data Management, Business Administration, or a related systems data quality control and maintenance (e.g. Product lists etc). MS Excel to Advanced Level Experience cleaning and validating large sets of data Understanding of data governance and quality principles Solid Solid understanding of fundamental data concepts The Reference Number for this positio n is NG59243 which
innovative financial services have an opportunity for a Data Engineer who will take responsibility for driving ETL systems for a big data warehouse to implement robust and trustworthy data to support high performing predictive models and support real-time data visualisation requirements across the organisation to enable self-help Responsibilities: Systematic solution design of the ETL and data pipeline in line with business user specifications to the approved solution design Ensure data governance and data quality assurance standards are upheld
Master Data Analyst/Approver. This role will specialize in supporting the flow of Master Data in the organisation ensuring adherence to established Master Data processes, governance, integrity, efficiency, security Business Partner data. This includes support to various business functions requiring guidance, approval issues/errors for Business Partner Master Data and Article Master Data. If you think differently and want to to drive continuous change through innovation Required core competencies: A business-related qualification
primary role of the Data Protection Officer is to ensure that all data subjects (data from, staff, customers protected and conform to data governance policies. • Enforcing the Data Management and Data Breach Prevention and follow up on logs with card data and personal data and ensure data subjects are stored correctly or especially in a Hybrid environment. • Knowledge of Data Lost and Data Classification. • Good communication skills
production databases while ensuring high levels of data availability. This individual is also responsible goals for production databases in conjunction with data owners and department managers. Work with application disaster recovery and data archiving to ensure effective protection and integrity of data assets. Acquisitions and allocate physical data storage for database systems. Plan and coordinate data migrations between systems to databases. Create, or support creation of, required reports in response to business user needs. Perform
management are on a recruitment drive for a Data Scientist to apply data mining techniques and conduct statistical statistical analysis to large, structured and unstructured data sets. Responsibilities: Model complex business problems machine learning models from and utilises distributed data processing and analysis methodologies. Competent Kafka. Provide input into Data management and modelling infrastructure requirements and adhere to the organisation's relating to data collection, integration and retention requirements incorporating business requirements and knowledge
management services have an open role for a Data Engineer to execute data engineering duties according to the maintain complete data architecture across several application platforms Analyse data elements and systems systems Build required infrastructure for optimal extraction, transformation and loading of data Build, create optimise data pipelines Create data tooling, enabling data consumers in building and optimising data consumption performing root cause analysis on internal and external data and processes Knowledge of integration patterns
client in the software development space requires an experienced Data Engineer to join their team. Your main designing, developing, and maintaining data warehouses and data lake solutions for clients. Qualifications: preferred) Requirements: 5 years' experience in data engineering Strong data warehousing and data lake architecture architecture experience Data Vault and dimensional modelling techniques SQL experience Big data experience such such as Hadoop, Spark, AWS EMR Experience with data streaming technologies such as Kafka, AWS Cloud technologies
The data engineer is responsible for expanding and optimizing our data and data pipeline architecture well as optimizing data flow and collection for cross functional teams. The Data Engineer will support database architects, data warehouse managers, data analysts and data scientists on data initiatives and will will ensure optimal data delivery architecture is consistent throughout ongoing projects. Key Responsibilities: Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional