meet clients' needs. This team is searching for a Data Analyst, the candidate will be responsible for collecting collecting, analysing, and interpreting complex data sets to provide valuable insights and support strategic experience Responsibilities: Gather and consolidate data from multiple sources, including internal databases third-party vendors. Cleanse, validate, and preprocess data to ensure accuracy, completeness, and consistency consistency. Utilise statistical techniques and data mining algorithms to analyse large datasets and extract meaningful
SAP, JAVA, Azure, Cloud is looking for an Azure Data Engineer . The unique positioning gives a deep insight maintaining Big Data Pipelines using Data Platforms Custodians of data and must ensure that data is shared need-to-know basis Experience using programming skills in data related programming languages and frameworks, such Kusto Experience with Azure Data Solutions: Azure Data Factory, Azure Data Explorer, Azure Databricks Profound technical understanding for Data Engineering and Data Warehouse Design Familiar with modern
Responsibilities: Design, implement and maintain the Data Warehouse and Data Lake Design, implement and maintain of solutions, including data visualization, data modelling, ETL processes, and data warehousing Design, implement maintain ETL processes for data extraction, transformation, and loading Maintain data security and quality with cross-functional teams to gather and analyse data warehouse requirements Provide technical mentorship guiding them in best practices for BI development and data engineering Experience and qualifications: BS/MS
Developer to provide specialist advice and support on data analyst delivery, methods and techniques; enabling enabling the construction, maintenance and expansion of data analysis. The successful candidate will be required Produce business insights and recommendations based on data analysis and modeling concluded and where relevant Spark and Kafka Coach and mentor other data scientists Promote data literacy with your business stakeholders a direct result of the data solutions provided Stay ahead of the curve on data science trends and leading
retail customer base. Currently searching for a Data Engineer that will be responsible for driving, designing ETL systems for a big data warehouse to implement robust & trustworthy data to support high performing algorithms, predictive models and support real-time data visualisation requirements across the organisation and knowledge of emerging trends across Data/Analytics (Big Data, Machine Learning, Deep Learning, AI) Experience and understanding in designing and developing data warehouses according to the Kimball methodology
views and triggers for efficient data processing and generate financial data required for revenue services financial authority. Responsibilities: Manage end to end data solutions through Microsoft BI Stack Create and and optimise advanced SQL queries for efficient data retrieval, manipulation and reporting. Liaise with Certifications in Business Intelligence and / or Data Engineering advantageous. Experience with Microsoft Development), SSAS (Data Cube. Mining), SSRS (Report Development) & Power BI (Data Visualisations).
specialist firm is on the lookout for a dynamic Senior Data Engineer to spearhead the creation and implementation technologies. If you're a seasoned expert in finance and data with a drive for innovation, seize this chance to driving force of innovation and excellence as a Senior Data Engineer. Don't miss out on this thrilling opportunity—apply to new heights Experience and knowledge Excellent data analysis and exploration using T-SQL, and strong procedures, functions) Knowledge and experience of data warehouse modelling methodologies Experience in
designing, building and deploying BI solutions (e.g., data warehousing models) and creating visualizations Responsibilities: Build enterprise scalable, complex data visualizations, dashboards, KPI scorecards, and reports in SQL, SSRS, Excel Work with the team in data modelling, database design, creating efficient SQL (SQL/PLSQL/Hive) and leveraging large data sets within a data warehouse (Hadoop, Oracle, MySQL) Qualifications beneficial. Proven experience as a BI Developer for data warehouses Proven work experience as a SQL Developer
An AWS Data Engineer with -12 years hands-on data engineering experience is required to join a team of Oracle/PostgreSQL Py Spark Boto3 ETL Docker Linux / Unix Big Data PowerShell / Bash Glue CloudWatch SNS Athena S3 Business Intelligence (BI) Experience Technical data modelling and schema design (“not drag and drop”)
Create RESTful APIs Create data clients to consume RESTful APIs Integrate data storage solutions, including of Spring Boot Ability to script and manipulate data in JavaScript/Typescript (knowledge of a server-side