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and operating robust data pipelines. The ideal candidate will have experience in working with Azure Cloud and proficiency in using Microsoft Azure Data Services and platforms such as Azure SQL, Data Warehouse, Data Factory, Data Lakes, HDInsight, and Stream Analytics. Core Azure SQL, MSSQL server. They will also have understanding of the underlying data flow architectures, will have supported finance … accurate financial status reporting Skills and Attributes for Success To qualify for the role, you must have: Experience in one or more of the following Cloud Platforms: Core Azure SQL and MSSQL server Deep understanding of Azure-native services for data engineering. Experience with Azure Key Vault, Azure Monitor, and RBAC. AWS: Experience with S3, Glue, Redshift, and Lambda. Familiarity … AI (optional). Experience in one or more of the following Data Platforms: Microsoft: Experience with Azure Data Factory for orchestrating data workflows. Proficiency in Azure Synapse Analytics and SQL Server. Familiarity with Azure Data Lake Storage (Gen2) and Azure Blob Storage. Knowledge of Power BI integration and data modelling Understanding of Azure Functions and Logic Apps for automation. Snowflake More ❯

a conversion to Oracle Cloud Fusion ERP and the development of data reporting approach. This role develops and maintains reports, dashboards, and data models using Crystal Reports, Power BI, SQL, and Oracle Cloud Fusion. The position ensures data accuracy, supports business decision-making, and promotes consistent information delivery across departments *What You’ll Do:* _Report Development_ * Design, develop, and maintain … Crystal Reports and Microsoft Power BI. * Develop and manage interactive dashboards and visualizations for various business units. * Translate business requirements into technical report specifications. _Data Management_ * Create and optimize SQL queries, stored procedures, and data models for reporting purposes. * Integrate and extract data from Oracle Cloud Fusion Analytics, ensuring data accuracy and reliability. * Maintain documentation for data sources, structures, and … learn and extend your capabilities with self-based training. * Desire to seek innovative ways to improve the process of delivering solutions to customers. _Technical Experience_ * *Strong working knowledge of SQL (queries, stored procedures, joins, indexing, and performance tuning).* * *Experience with Crystal Reports* * Well-developed implementation and troubleshooting skills with the ability to analyze details and synthesize "the big picture. More ❯

are seeking an experienced Senior Data Analyst with a strong background in the multifamily real estate business and mortgage domain. The ideal candidate will possess advanced technical skills in SQL, RDBMS databases, MongoDB, NoSQL, Informatica Cloud (including Informatica Data Quality), and all standard data analyst tools and methodologies. You will play a key role in analyzing complex datasets, monitoring and … for our multifamily and mortgage business units. Responsibilities: Analyze large, complex datasets related to multifamily properties and mortgage portfolios to identify trends, risks, and opportunities. Develop, maintain, and optimize SQL queries and scripts for data extraction, transformation, and reporting. Design and implement data models and pipelines using RDBMS (e.g., MySQL, PostgreSQL, SQL Server), MongoDB, and other NoSQL databases. Utilize Informatica … Data Analyst, with at least 2 years in the multifamily real estate or mortgage industry. Deep understanding of multifamily business operations, property management, and mortgage processes. Advanced proficiency in SQL and experience working with RDBMS databases (MySQL, PostgreSQL, SQL Server, etc.). Hands-on experience with MongoDB and other NoSQL databases. Proven experience with Informatica Cloud, including strong knowledge of More ❯

insights and recommendations on data 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 as Python or C# for More ❯

such as Informatica and Talend to ensure high-quality data integration from diverse sources including AWS, Azure Data Lake, Hadoop, and Oracle databases. * Build and optimize data warehouses utilizing SQL Server, Apache Hive, Spark, and other big data frameworks to support advanced analytics and reporting needs. * Develop interactive dashboards and reports using Looker and other visualization tools to present insights … deliver timely solutions that meet business needs. * Implement RESTful APIs for seamless data exchange between systems and facilitate real-time analytics capabilities. * Perform model training and analysis using Python, SQL, and shell scripting to enhance predictive analytics initiatives. * Design robust database schemas and optimize database performance through effective database design principles. * Conduct analysis of large datasets to identify trends, patterns … current with emerging technologies such as Apache Spark, Hadoop ecosystem components, Azure Data Lake services, and linked data concepts to continuously improve our BI infrastructure. *Skills* * Strong proficiency in SQL Server, Oracle, and Big Data technologies including Hadoop ecosystem components like Hive and Spark. * Hands-on experience with cloud platforms such as AWS and Azure Data Lake for scalable data More ❯

programming language and related tools * 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 and reports * Provide support and ongoing … software and workflows *Skill Requirements:* * 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 skills to gather requirements and … programming for Business Central extensions * Experience using Power BI for reporting and data visualization * Experience with cloud technologies like Microsoft Fabric, Azure, Power Apps * Functional knowledge of advanced MS SQL features, including replication, stored procedures, and linked server * Competencies in languages such as Python, Java * Familiarity with Office products, working with Excel formulas, and data manipulation *Why Join Us?* * Childcare More ❯

impact through data engineering, software 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, EMR) RDBMS (e.g., SQL Server More ❯

as a mentor to Engineers. You’ll be accountable for developing and optimising our Azure-based data warehouse and pipelines, with a specific focus on enhancing and optimising SSAS (SQL Server Analysis Services) models and architecture. You will lead ETL processes, ensure high data quality, and enable robust, scalable data solutions. You will facilitate data from multiple custom internal and … impact at all times. Skills and Experience 2.1 or higher degree in Computer Science, or related Information Technology subject. 3+ years experience working with cloud infrastructure and data modelling (SQL database, data warehouse, SQL servers, datalake storage and lakehouses, structured and unstructured data) Significant experience working with Azure Data Factory and LogicApps creating pipelines ingesting data from multiple sources Advanced … T-SQL skills and Python essential Experience of Azure cloud stack services – Dynamics D365, Databases, Warehouses, Storage, Datalake, Power Automate, Data Factory, Visual Studio, Devops, Power BI, MS Fabric Strong interest in analytics, data architecture and modelling. Experience of enterprise software, Azure Cloud apps, databases, data models. Understanding of Business Intelligence services and data integration processes (ETL) Knowledge of Power More ❯

as a mentor to Engineers. You’ll be accountable for developing and optimising our Azure-based data warehouse and pipelines, with a specific focus on enhancing and optimising SSAS (SQL Server Analysis Services) models and architecture. You will lead ETL processes, ensure high data quality, and enable robust, scalable data solutions. You will facilitate data from multiple custom internal and … impact at all times. Skills and Experience 2.1 or higher degree in Computer Science, or related Information Technology subject. 3+ years experience working with cloud infrastructure and data modelling (SQL database, data warehouse, SQL servers, datalake storage and lakehouses, structured and unstructured data) Significant experience working with Azure Data Factory and LogicApps creating pipelines ingesting data from multiple sources Advanced … T-SQL skills and Python essential Experience of Azure cloud stack services – Dynamics D365, Databases, Warehouses, Storage, Datalake, Power Automate, Data Factory, Visual Studio, Devops, Power BI, MS Fabric Strong interest in analytics, data architecture and modelling. Experience of enterprise software, Azure Cloud apps, databases, data models. Understanding of Business Intelligence services and data integration processes (ETL) Knowledge of Power More ❯

we need you to have. These include:Must haves Proven track record as a developer in an insurance or financial services environment; Strong working knowledge of programming languages (e.g. SQL, C#, VBA, Javascript, XML, JSON, Python); Experience building Excel-integrated applications and/or web-based pricing platforms. Strong database skills (SQL Server or similar) and data integration experience; Proactive … patterns and able to implement where appropriate; Working knowledge of software delivery and development process; Strong comprehension of working with large data sets and being able to write complex SQL queries; Have qualifications in an insurance or reinsurance environment working with catastrophe and/or actuarial models; Previous Lloyd's and PRA experience; Knowledge of DevOps practice - Desirable Skills Experience More ❯

engineering role, ideally as a senior or lead engineer. Strong, hands-on experience of Azure Data Factory for managing and orchestrating ETL processes Experience with Microsoft Fabric Products Strong SQL experience, including SQL queries and stored procedures, and formal database design methodologies Experience in setting up monitoring and data quality exception handling Strong data modelling experience Experience managing and developing More ❯

data to support AI, ML, and BI Strong ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks … the design and implementation of modern data architectures (ideally Azure, AWS. Microsoft Fabric, GCP, Data Factory) and modern data warehouse technologies (Snowflake, Databricks) Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products Expert problem-solving skills More ❯

Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data pipeline architecture Excellent communication skills with the ability to collaborate across cross-functional teams Experience managing client relationships More ❯

Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data pipeline architecture Excellent communication skills with the ability to collaborate across cross-functional teams Experience managing client relationships More ❯

Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data pipeline architecture Excellent communication skills with the ability to collaborate across cross-functional teams Experience managing client relationships More ❯

Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data pipeline architecture Excellent communication skills with the ability to collaborate across cross-functional teams Experience managing client relationships More ❯

Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data pipeline architecture Excellent communication skills with the ability to collaborate across cross-functional teams Experience managing client relationships More ❯

CSS*. * Design and implement RESTful APIs, Web services, and microservices architectures utilizing *REST*, *SOAP*, *WCF*, and *API* best practices. * Work on database design, development, and optimization using *Microsoft SQL Server*, *MySQL*, *PostgreSQL*, *MongoDB*, and *PL/SQL*. * Collaborate with UI/UX designers to create intuitive user interfaces (*UI*) leveraging frameworks like *Bootstrap* and tools such as *XSLT … Agile development practices, contributing to sprint planning, stand-ups, retrospectives, and continuous improvement initiatives. *Requirements*: * Design, develop, and maintain scalable applications using .NET Core/.NET Framework, C#, and SQL Server * Build responsive and modern front-end interfaces using Angular (v10+), TypeScript, HTML5, and CSS3 * Develop and enhance legacy WinForms applications using DevExpress components * Create, manage, and maintain Windows Services … practices for clean, secure, and maintainable code * *Required Qualifications: * * 5+ years of professional experience in Microsoft full-stack development * Proficiency in C#, ASP.NET Core/MVC, Entity Framework, and SQL Server * Strong hands-on experience with Angular (v10+) and TypeScript * Solid experience developing with WinForms and DevExpress * Proven ability to design, build, and maintain Windows Services ? Solid understanding of software More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

play a critical role in designing, developing, and maintaining data solutions that support audit, risk assessment, and compliance processes. This position requires strong data modeling expertise, robust Python and SQL skills, and the ability to collaborate effectively with cross-functional teams. Key Responsibilities Data Modeling & Architecture Design, develop, and maintain logical and physical data models to support audit and risk … for both structured and unstructured data . Implement scalable and efficient data warehousing solutions on relational and NoSQL platforms. Analytics & Reporting Develop and implement reporting and analytics using Python, SQL, and Tableau . Create interactive dashboards that clearly present insights, audit findings, and risk assessments. Collaboration & Analysis Work closely with auditors, stakeholders, and IT teams to gather data requirements and … in Data Science, Computer Science, Information Systems , or a related field. 7+ years of hands-on experience in data engineering, data modeling, data architecture , or analytics . Expertise in SQL , entity-relationship modeling, and dimensional data modeling . Experience with relational and NoSQL databases such as Oracle, Sybase, PostgreSQL, SQL Server, MongoDB . Familiarity with big data platforms (e.g., Hadoop More ❯

opportunity to apply your technical expertise in a high-stakes, high-impact environment. You’ll work with cutting-edge tools and cloud technologies, including Azure Data Factory, Data Bricks, SQL Server, Python, Alteryx, and FME, to deliver scalable, high-quality data solutions. What we can offer: Hybrid working arrangements for a healthy work-life balance. 28 days annual leave (excluding … the last few years working hands-on in data engineering or information systems, that works too. Here’s what we’d like you to bring: You’re confident with SQL - writing queries, building stored procedures, and designing databases is second nature to you. You’ve worked with ETL tools like Alteryx, SSIS, FME or Python, and you know how to More ❯