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architecture and AI strategies. Must Have Skills Extensive expertise in architecting solutions using Microsoft Azure Synapse Analytics and Power BI. Strong proficiency in Microsoft SQL Server, T SQL scripting, and database design principles. Advanced knowledge of Azure Data Factory, SSIS, and Azure Data Storage solutions. Familiarity with programming languages such ...

data in a clear and compelling way, using data visualisations In this role you will need experience of the following as a minimum: Snowflake, SQL, Azure or AWS, Power BI and Python. The wider technology stack is: Visualisation tools- Power BI Data modelling tools- Python, R, Alteryx and Business Objects … Cloud service experience - AWS and\or Azure Databases - SQL Server, Oracle, NoSQL Data Integration tools (Mulesoft, Fivetran, SSIS) Cloud based Big Data frameworks such as data lake, Snowflake Remote working, O365 Productivity stack We offer: Our offer to you We want everyone at Rathbones to fulfil their potential ...

Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability to communicate technical ...

technologies, modern JavaScript frameworks, RESTful APIs, and Microsoft Graph API. The ideal candidate will have strong hands-on experience with .NET, React or Angular, SQL, a solid understanding of architecture, and familiarity with Microsoft 365 and SharePoint Online environments. Experience with DevOps pipelines and AI-assisted tools such as GitHub … frameworks (React, Angular). Build and consume RESTful APIs and Microsoft Graph API for integration with Microsoft 365 and enterprise systems. Develop and optimize SQL Server databases, queries, and stored procedures. Collaborate with designers and backend developers to ensure seamless, high-performance solutions. Integrate applications with SharePoint Online and Microsoft ...

degree educated - computer science, data analysis, AI & Machine Learning etc Microsoft certified (nice to have) Technical Skills Core (at least two of the following) SQL Python Power BI/Analysis Services/DAX Data Modelling/Data Warehouse Theory Azure Fundamentals Nice to Have Microsoft Fabric Azure Databricks Azure Synapse …/YAML/ARM/BICEP/Terraform Azure Data Factory Azure Networking/Infrastructure Report Development - Power BI Power Platform MSBI Traditional Stack (SQL, SSAS, SSIS, SSRS) Azure Automation/PowerShell Azure Streaming Analytics/Spark Streaming Azure Functions/C# .NET Data Science Azure AI Services – Azure ...

development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop … RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate ...

Modelling Manager A successful Financial Modelling Manager should have: Advanced Microsoft Excel (including complex formulas, macros, and data analysis). Programming & Data Tools: VBA, SQL, SSIS, Azure Data Factory (ADF), Python, .NET, Java. Business Intelligence Tools: Power BI or similar for reporting and visualization. Version Control & Automation: CI/ ...

Modelling Manager A successful Financial Modelling Manager should have: Advanced Microsoft Excel (including complex formulas, macros, and data analysis). Programming & Data Tools: VBA, SQL, SSIS, Azure Data Factory (ADF), Python, .NET, Java. Business Intelligence Tools: Power BI or similar for reporting and visualization. Version Control & Automation: Experience with repositiories ...

driving innovation across the globe. Cutting-Edge Technology: Get hands-on with the full Esri product suite (ArcGIS Pro, Enterprise, AGOL), Microsoft Azure, MS SQL Server, PostgreSQL and the latest open-source platforms - plus AI/ML frameworks that power truly intelligent mapping and analytics. Diverse, High-Impact Projects: From … modern JavaScript libraries. Experience with Web GIS development, including React and integration with Enterprise/PostgreSQL backends. Experience with Enterprise Geodatabases, databases and SQL for handling large datasets. Experience with deployment, CI/CD, and version control (e.g., Azure DevOps, Git). AI literacy, with the ability to communicate concepts ...

driving innovation across the globe. Cutting-Edge Technology: Get hands-on with the full Esri product suite (ArcGIS Pro, Enterprise, AGOL), Microsoft Azure, MS SQL Server, PostgreSQL and the latest open-source platforms - plus AI/ML frameworks that power truly intelligent mapping and analytics. Diverse, High-Impact Projects: From … modern JavaScript libraries. Experience with Web GIS development, including React and integration with Enterprise/PostgreSQL backends. Experience with Enterprise Geodatabases, databases and SQL for handling large datasets. Experience with deployment, CI/CD, and version control (e.g., Azure DevOps, Git). AI literacy, with the ability to communicate concepts ...

required. ERP/TMS experience is desirable (SAP preferred). Experience in business intelligence platforms, such as Tableau and Power BI. Knowledge of SQL and other data manipulation languages. Familiarity with master data management and workflow automation systems. Knowledge of machine learning, artificial intelligence, and blockchain in logistics management. Supply ...

analytics platforms, and cloud-based analytics solutions, including data integration techniques Proficiency in programming languages such as Python, R, and/or SQL for data analysis, modeling and automation tasks What We Look For: We are looking for candidates who are: Innovative and agile , with a purpose-driven mindset Inclusive ...

systems within a consistent and stable framework that is monitored and assured. We are seeking an experienced Data Engineer with a strong background in SQL Server and a commitment to formal change management procedures (RFC) and version control (Git). We are at the start of a five-year Data … technical qualifications. Experience Essential Substantial experience of design, build and deployment of Business Intelligence functions in a large/complex organisation. Substantial experience of SQL Server database/data warehouse development maintenance and support. Substantial experience of handling ETL solutions and issues across a range of systems. Substantial experience ...

C#, Python, Java, or Scala . Hands-on experience with ETL tools (e.g., SSIS) and orchestration tools (e.g., Azure Data Factory). Strong SQL skills and experience with relational databases (MSSQL, PostgreSQL, MySQL). Familiarity with Azure services (Fabric, Azure SQL, Synapse Analytics, Blob Storage) and hybrid cloud/ ...

Collaborate with data engineers to support robust ETL/ELT pipelines and maintain end-to-end data lineage. Deploy analytics engineering solutions using dbt, SQL transformations, and CI/CD best practice. Partner with analysts and data scientists to deliver performant and reliable datasets. Implement data quality monitoring, validation processes … Engineer/Data Modeller Requirements Proven experience as an Analytics Engineer, Data Modeller, or similar position in a modern cloud-based data environment. Strong SQL skills and hands-on experience with platforms such as Snowflake, Azure Synapse, BigQuery, or Redshift. Deep understanding of Data Vault, Kimball, and dimensional modelling techniques. ...

sources into centralised data repositories. 7. Document data architecture, processes, and workflows for reference and knowledge sharing. 8. Utilise programming languages (e.g., C#, Python, SQL) and technologies (e.g., Apache Spark, SSIS, .NET) to manipulate and analyse data. 9. Participate in code reviews, version control (e.g., using Git), and other software … continued further professional development. Desirable Current Microsoft certification in Data - Azure, Developer, Data Engineer, Data Analyst - field. Experience Essential A minimum of 3 years SQL Server/Business Intelligence Development experience in a professional (preferably Healthcare) environment. Experience of exporting data from various source data systems, transforming data against required ...

development, testing, debugging, documentation, deployment, and production support. The ideal candidate will have strong expertise in building and managing data pipelines using PySpark, Python, SQL, and Airflow. Key Responsibilities:Design, develop, and optimize scalable data pipelines on Databricks using PySpark to process large volumes of financial data for real-time … financial regulations to support accurate and reliable financial reporting. Automate workflows using Airflow for scheduling and orchestration, improving operational efficiency. Optimize Spark jobs and SQL queries for performance and cost efficiency, ensuring timely and cost-effective data processing. Requirements:At least 3 years of experience with Databricks and PySpark ...

specialty in lieu of every year of education. At least 4 years of Information Technology experience Experience as a Data Analyst with a strong SQL background. Develop, optimize, and execute complex SQL queries for data extraction, analysis, and reporting. Proficiency in SQL Server, Snowflake, Netezza, or similar database platforms. Expertise … support efficient data storage and retrieval. Conduct complex database joins, including Common Table Expressions (CTEs), row qualification, and de-duplication techniques. Analyze large-scale SQL queries (1000+ lines) to ensure efficiency, accuracy, and optimization. Evaluate Tableau and Power BI reports, analyzing underlying queries to identify and refine reporting requirements. Develop ...

Azure, Google Cloud, CICD, CICD, Big Data, Hadoop, Oracle Apps, Salesforce/Siebel, ETL, Abinitio DataStage, SSIS, SSRS, SSAS, Pega, FileNet, Documentum, PL/SQL, Linux, Solaris, Shellscript, SQL server, Jira, ESB Mule, Weblogic, Websphere, Jboss, Python,QTP, QC, Load/Winrunner, RPA, Selenium, ALM, OBIEE, Tableau, Cognos, Qlikview, Informatica ...

functions and influence key initiatives. Your responsibilities Design, build and operate ETL/ELT pipelines and data ingestion flows Author and optimise high‐performance SQL (queries, views, stored procedures) Build, deploy and maintain Power BI data models and reports (DAX, modelling, performance tuning) Automate data transformations and orchestration with Python … years in data engineering, technical analytics or similar with end‐to‐end delivery responsibility Strong Power BI experience (data modelling, DAX, workspace deployment) Advanced SQL skills, including optimisation and stored procedures Practical Python experience for ETL, automation and data processing Comfortable with data governance, documentation and data‐lineage practices ...

functions and influence key initiatives. Your responsibilities Design, build and operate ETL/ELT pipelines and data ingestion flows Author and optimise high‐performance SQL (queries, views, stored procedures) Build, deploy and maintain Power BI data models and reports (DAX, modelling, performance tuning) Automate data transformations and orchestration with Python … years in data engineering, technical analytics or similar with end‐to‐end delivery responsibility Strong Power BI experience (data modelling, DAX, workspace deployment) Advanced SQL skills, including optimisation and stored procedures Practical Python experience for ETL, automation and data processing Comfortable with data governance, documentation and data‐lineage practices ...

driven decision-making across our organisation. Design and implement data warehouse solutions and ETL processes to support business intelligence initiatives Develop and maintain complex SQL queries, stored procedures, and functions for data extraction and analysis Create interactive dashboards and reports using business intelligence tools such as Tableau or Power … Computer Science, Information Systems, or a related field Minimum of 3 years' experience in business intelligence or a related role Strong proficiency in SQL and experience with data warehousing concepts Understanding of ETL processes and tools Proficient in using business intelligence tools such as Tableau or Power BI Experience with ...

post-graduate education in a relevant subject Relevant Professional qualifications Knowledge and Skills Essential Extensive experience in developing data models and reports in Microsoft SQL Server (SSIS/SSRS/SSAS/T-SQL) or Microsoft Power BI to meet the business needs of the organisation Highly developed specialist reporting ...

Skills: Cloud Platforms:Deep experience with AWS (S3, Lambda, Glue, Redshift) and/or Azure (Data Lake, Synapse). Programming & Scripting:Proficiency in Python, SQL, PySpark etc. ETL/ELT & Streaming:Expertise in technologies like Apache Airflow, Glue, Kafka, Informatica, EventBridge etc. Industrial Data Integration:Familiarity with OT data schema ...

data platforms Preferred skills and qualifications of the Data Analyst Bachelors degree in Data Science, Statistics, Computer Science, Economics, or a related Proficient in SQL and data visualisation tools such as Power BI or Tableau Practical experience in developing data warehouse solutions as part of a broader data architecture Exposure ...