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building and maintaining large-scale data pipelines using tools such as Databricks, Azure Data Factory, Snowflake, or similar Strong programming skills in Python and SQL, with proficiency in data engineering libraries (pandas, PySpark, dbt). Deep understanding of data modelling, ETL/ELT processes, and Lakehouse concepts. Experience with data

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

Customize Business Central modules and integrate third-party apps to meet business needs * Support data management and migration activities within ERP environments, including legacy SQL databases * Collaborate on integration strategies for cloud-based storage and access of historical data * Provide technical support to staff in relation to custom applications … Proven 3+ years of direct experience with ERP systems; strong preference for Dynamics 365 Business Central * Effective ability to parse, understand, and work with SQL, JavaScript * Experience utilizing code repositories such as Git, Azure DevOps * Willingness to learn AL programming if not already proficient * Strong communication, problem-solving, and analytical

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

lead, tech lead, or senior engineer, guiding others. ? Proven experience in architecting, delivering, and maintaining enterprise-level applications using .NET Core 7, React, and SQL Server. ? Experience leading teams through full SDLC (design ? development ? deployment ? maintenance). *Technical Expertise* Backend (.NET Core 7/C#) ? Deep expertise in .NET … Jotai, Recoil) ? UI frameworks (Material UI, TailwindCSS) ? Bundling/build tools (Vite, Webpack) ? Deep understanding of responsive UI design and frontend performance optimization. *Database (SQL Server)* ? Expert-level experience with Microsoft SQL Server. ? Ability to design relational data models and optimise database performance. ? Strong T-SQL skills: writing complex queries

implement row-level security, and apply DAX to support advanced analytics. * Data Integration – Extract, transform, and load (ETL) datasets from ERP, CRM, SaaS platforms, SQL databases, APIs, and flat files using Power Query, SQL, and automation tools. * Analytics & Insights – Conduct deep-dive analyses, identify key trends, forecast outcomes, and translate … dashboards and analytics solutions. * Strong proficiency with Power BI Desktop, Power BI Service, DAX, and Power Query. * Experience with data modeling, relational databases, and SQL query development. * Demonstrated ability to work with large datasets and complex, multi-source data pipelines. * Strong analytical skills with the ability to interpret business needs

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

work with a team of subject matter experts and developers to design and implement innovative data automation solutions for Azure cloud based data lake, SQL, and NoSQL platform. As a data automation engineer, you will translate business requirements to data engineering and AI based solutions to support an enterprise scale … functions and solve technical issues. In this role, you will: Utilize Microsoft Azure services including Azure Data Factory, Synapse Pipelines, Apache Spark Notebooks, Python, SQL, stored procedures to develop high performing data pipelines. Continuously improve and optimize the automation toolset for reliability, scalability, and adaptability. Research and implement cutting-edge

which currently consists of ten team members with varying levels of skills. The technology environment consists of newly developed Microsoft Business Intelligence systems using SQL Server BI stack tools like (SSIS, SSAS, SSRS), delivered via SharePoint and Power BI, as well as the new Trust EHR system (EPIC). … continuity. 12. Continuous Improvement: Research new technologies, improve development processes, and contribute to optimizing the teams workflow. Key Skills Required Technical Skills: Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle, SQL Server), and familiarity with cloud databases (e.g., AWS RDS, Azure SQL). Data Modeling: Ability to design

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

reduce processing time and Snowflake compute consumption Implement streaming and batch data ingestion patterns using Snowpipe and Kafka connectors Design data transformation workflows using SQL, Python, and modern ETL/ELT patterns Establish data quality frameworks and monitoring systems Technical Leadership Provide architectural guidance for data platform modernization initiatives Lead … Snowflake experience with focus on optimization and performance tuning Proven experience with at least 2-3 of the following platforms: Oracle, Teradata, Netezza, MS SQL Server, PostgreSQL Demonstrated expertise in migrating from legacy data platforms to Snowflake Experience with ETL/ELT tools including Informatica, Talend, and/or Matillion

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/

lifecycle management. Experience designing and implementing cloud-based data and AI solutions (e.g., Azure, AWS, GCP). Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Databricks. Experience with Microsoft Fabric. Proficiency with data integration, ETL, and data pipeline tools. Familiarity with data governance, security, and privacy best … practices. Excellent communication and stakeholder management skills. Ability to translate business requirements into technical solutions. Data & AI Skills Strong programming skills (e.g., Python, SQL, Java) and experience with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Ability in data science languages/tools such

data engineering, applied AI, or related technical roles. Proficiency with Azure Data Factory, Microsoft Fabric, or Synapse Analytics. Strong programming skills in Python and SQL for data manipulation and API interaction. Understanding of Lakehouse and Medallion architectures, including Parquet, Delta, and JSON data formats. Familiarity with Azure AI Services, including

data engineering, applied AI, or related technical roles. Proficiency with Azure Data Factory, Microsoft Fabric, or Synapse Analytics. Strong programming skills in Python and SQL for data manipulation and API interaction. Understanding of Lakehouse and Medallion architectures, including Parquet, Delta, and JSON data formats. Familiarity with Azure AI Services, including

data quality management, and metadata management concepts. An understanding of AI/Machine Learning concepts and their associated data requirements and challenges. Proficiency in SQL and experience with at least one programming language (e.g., Python, Java). Excellent analytical, problem-solving, and communication skills. Ability to work collaboratively

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.

deploying Dynamics 365 applications. Experience with Power Apps Test Studio or other Power Platform testing solutions. Experience in configuring and using other data stores (SQL/SharePoint/Lists). Experience developing and deploying Microsoft Teams Apps. Experience with Azure DevOps (or similar tools) for CI/CD and backlog … plus. Experience integrating Power Apps solutions with APIs or third-party solutions. Development experience using Microsoft stack (.NET/C#/TypeScript/SQL Server). Experience with Azure DevOps (or similar tools) for CI/CD and backlog/progress tracking. Experience with Microsoft Azure PaaS/Azure Integration

push for innovative designs to help us building better product experiences for our clients. Tech Stack You'll Work On Backend: Python, Java, TypeScript, SQL, APIs, microservices, containers Frontend: Angular, JavaScript, HTML5/CSS Cloud: AWS (EC2, Lambda, Glue, EKS, SQS, SNS and any other as required) Databases: SQL Server

React tooling like Vite, Redux, Zustand, or other state management libraries. ? Knowledge of HTML5, CSS3, and UI frameworks (Material UI, Tailwind, Bootstrap). Database (SQL Server) ? Strong experience with Microsoft SQL Server. ? Ability to design, query, and optimize relational databases. ? Experience writing complex T-SQL queries, stored procedures, functions