1 to 25 of 596 Azure SQL Database Jobs

MI lifecycle management, which is the design, development and management approach to BI that incorporates business users into the design process and focuses on generating the data models, database objects, data integration mappings and front-end semantic layers directly from the business user input Overall responsibility for management, prioritisation, and delivery of data-driven initiatives within the organisation. … initiative by developing an exceptional reports Model business logic, extract key performance metrics, and create reusable data structures. Maintain data so that it remains available and usable,e.g. SQL (Basic, Advanced modelling, Efficient, Big Data and Programmatic) Support Data munging such as reshaping, aggregating, joining disparate sources, small-scale ETL, API interaction, and automation, e.g. Python Support … ML is a plus Languages: Python, SQL, T-SQL, SSIS DB: Azure SQL Database, Cosmos DB, NoSQL, Methodologies: Agile, DevOps must have Concepts: ELT/ETL, DWH, APIs (RESTful), Spark APIs, FTP protocols, SSL, SFTP, PKI (public Key Infrastructure) and Integration testing Management More ❯

Join to apply for the Azure data Engineer role at IBM 3 days ago Be among the first 25 applicants Join to apply for the Azure data Engineer role at IBM Get AI-powered advice on this job and more exclusive features. Introduction In this role, you’ll work in one of our IBM … similar role, with a strong emphasis on Azure technologies. Proficiency in Azure data services (Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, Azure Databricks). Experience with data modeling, data warehousing, and big data processing (Hadoop … years. You must be able to hold or gain a UK government security clearance. Preferred Technical And Professional Experience Azure certifications such as Microsoft Certified: Azure Data Engineer Associate or similar. Experience with data visualization tools (Power BI, Tableau). Familiarity with Agile development methodologies. Contribution to open-source projects or community involvement. Seniority More ❯

robust data solutions across our five businesses. You will leverage your deep expertise in traditional data engineering (database design, T-SQL) and Microsoft Azure's data services (Data Factory, Power BI, and pipelines) to address complex business challenges. We are looking for a candidate who can effectively translate business requirements into technical … Architecture & Design: Architect and implement robust designs, ensuring optimal performance, scalability, and security Translate high-level solution designs into detailed technical specifications, including data models, ETL processes, and database schemas Establish and enforce data modelling best practices, promoting data integrity and consistency across all platforms ETL Development & Optimization: Develop and optimize complex ETL pipelines for diverse data sources … Expert-level proficiency in T-SQL, SSIS, and the Microsoft data stack (SQL Server, Azure SQL Database) Proven proficiency in Azure Data Factory Proven experience in designing and implementing data models and database schemas for complex data environments Strong understanding of More ❯

with cutting-edge tools, a culture of continuous learning, and an unwavering commitment to delivering high-impact solutions. We are seeking a Data Engineering Specialist with expertise in Azure technologies to join our expert team. Your Role: As a Data Engineering Specialist with a focus on Azure, you will design and implement cloud-native … data solutions that enable clients to unlock the full potential of their data assets. You will collaborate with multidisciplinary teams, utilizing advanced Azure technologies to build scalable, efficient data pipelines, data models, and analytics workflows. What We're Looking For: Required Skills and Qualifications Educational Background : Bachelor's or Master's degree in Computer Science, Data Engineering … field. Languages: Written & Spoken Fluency in English AND French or Dutch Seniority: 3-7 years of work experience Experience: On-Premise AND Cloud hands on Data Engineering experience Azure Expertise : Extensive experience with Azure Data Factory, Synapse Analytics, Data Lake Storage, and Azure Databricks. Programming Skills : Proficiency in Python and SQL More ❯

data pipelines to ingest, transform and manage data in the data lake and warehouse. Design and deliver insightful MI and BI reports from a variety of sources including SQL databases and Excel. Translate business needs into technical reporting requirements, liaising with users to resolve data queries. Manage and maintain ETL processes and troubleshoot data issues, including log … automated), extend wiki documentation, and contribute to ongoing development projects. Requirements Experience working within data engineering or analytics in a financial or regulated business environment. Proficiency in Microsoft SQL Server, Azure SQL, SSIS or Azure Data Factory. Strong skills in Excel and Power Query; experience developing reports in More ❯

data pipelines to ingest, transform and manage data in the data lake and warehouse. Design and deliver insightful MI and BI reports from a variety of sources including SQL databases and Excel. Translate business needs into technical reporting requirements, liaising with users to resolve data queries. Manage and maintain ETL processes and troubleshoot data issues, including log … automated), extend wiki documentation, and contribute to ongoing development projects. Requirements Experience working within data engineering or analytics in a financial or regulated business environment. Proficiency in Microsoft SQL Server, Azure SQL, SSIS or Azure Data Factory. Strong skills in Excel and Power Query; experience developing reports in More ❯

We are seeking a strategic and hands-on Lead Data Engineer to own the development of Aerial Direct’s cloud-native data platform. Working primarily within the Microsoft Azure ecosystem, you will be responsible for building and maintaining scalable data pipelines, optimising architecture for performance, and enabling actionable insights across the business. In addition to technical delivery … year including our famous Christmas Party, summer party & Employee Awards! Company pension scheme You’ll get involved in: Data Strategy, Architecture & Engineering Owning and evolving Aerial Direct’s Azure-based data platform, ensuring performance, security, and scalability. Design, management, and optimisation of data warehouse and data lake schemas to support downstream analytics, dashboards, and operational processes. Leading … development and optimisation of ETL/ELT pipelines using Azure Data Factory, including data ingress/egress processes (Batch files, SFTP, API etc). Ensuring all data assets are structured to reflect business logic and enable consistent, reusable reporting. Establishing best practices for data ingestion, transformation, storage, and quality across systems (CRM, billing, contact centre, provisioning). More ❯

data pipelines to ingest, transform and manage data in the data lake and warehouse. Design and deliver insightful MI and BI reports from a variety of sources including SQL databases and Excel. Translate business needs into technical reporting requirements, liaising with users to resolve data queries. Manage and maintain ETL processes and troubleshoot data issues, including log … automated), extend wiki documentation, and contribute to ongoing development projects. Requirements Experience working within data engineering or analytics in a financial or regulated business environment. Proficiency in Microsoft SQL Server, Azure SQL, SSIS or Azure Data Factory. Strong skills in Excel and Power Query; experience developing reports in More ❯

data pipelines to ingest, transform and manage data in the data lake and warehouse. Design and deliver insightful MI and BI reports from a variety of sources including SQL databases and Excel. Translate business needs into technical reporting requirements, liaising with users to resolve data queries. Manage and maintain ETL processes and troubleshoot data issues, including log … automated), extend wiki documentation, and contribute to ongoing development projects. Requirements Experience working within data engineering or analytics in a financial or regulated business environment. Proficiency in Microsoft SQL Server, Azure SQL, SSIS or Azure Data Factory. Strong skills in Excel and Power Query; experience developing reports in More ❯

data pipelines to ingest, transform and manage data in the data lake and warehouse. Design and deliver insightful MI and BI reports from a variety of sources including SQL databases and Excel. Translate business needs into technical reporting requirements, liaising with users to resolve data queries. Manage and maintain ETL processes and troubleshoot data issues, including log … automated), extend wiki documentation, and contribute to ongoing development projects. Requirements Experience working within data engineering or analytics in a financial or regulated business environment. Proficiency in Microsoft SQL Server, Azure SQL, SSIS or Azure Data Factory. Strong skills in Excel and Power Query; experience developing reports in More ❯

technical role, you’ll be responsible for building technical data solutions for various projects and persistent data products. You’ll design and implement complex data pipelines and manage database population, ensuring the data solutions align with the technical design and overall data platform patterns. Whilst the role does not include direct people management responsibilities, you’ll provide invaluable … solutions, taking high level solution architecture artefacts and translating them into workable designs and work packages. You’ll be responsible for assuring the quality of data pipelines and database solutions built by data engineers, and their alignment to solution designs, patterns, and standards. Contribute to coding standards and design patterns for data engineers to follow, ensuring safe, high … all Data pipelines, promoting self-testing pipelines that proactively identify processing issues or discrepancies. You’ll build solutions that pipe transform data into data lake storage areas, physical database models and reporting structures across data lake, data warehouse, business intelligence systems and analytics applications. You’ll build physical data models that are appropriately designed to meet business needs More ❯

Senior Data Engineer – Azure Platform Overview Amtis is proud to be recruiting for an exciting opportunity to join a forward-thinking data team. This role is ideal for a technically skilled and proactive data engineer passionate about building scalable, secure, and high-performing data solutions in Azure. You’ll play a key role in shaping the data … strategy, enhancing platform capabilities, and supporting business intelligence initiatives. Key Responsibilities Design and develop Azure data pipelines using Data Factory, Databricks, and related services. Implement and optimize ETL processes for performance, reliability, and cost-efficiency. Build scalable data models and support analytics and reporting needs. Design and maintain Azure-based data warehouses and data … lakes. Ensure data governance, security, and compliance with GDPR and other regulations. Collaborate with cross-functional teams to gather requirements and deliver solutions. Manage Azure SQL databases, including performance tuning and monitoring. Monitor and maintain data infrastructure, resolving issues proactively. Document technical designs and share knowledge through training and code reviews. Contribute to big More ❯

Senior Data Engineer – Azure Platform Overview Amtis is proud to be recruiting for an exciting opportunity to join a forward-thinking data team. This role is ideal for a technically skilled and proactive data engineer passionate about building scalable, secure, and high-performing data solutions in Azure. You’ll play a key role in shaping the data … strategy, enhancing platform capabilities, and supporting business intelligence initiatives. Key Responsibilities Design and develop Azure data pipelines using Data Factory, Databricks, and related services. Implement and optimize ETL processes for performance, reliability, and cost-efficiency. Build scalable data models and support analytics and reporting needs. Design and maintain Azure-based data warehouses and data … lakes. Ensure data governance, security, and compliance with GDPR and other regulations. Collaborate with cross-functional teams to gather requirements and deliver solutions. Manage Azure SQL databases, including performance tuning and monitoring. Monitor and maintain data infrastructure, resolving issues proactively. Document technical designs and share knowledge through training and code reviews. Contribute to big More ❯

Job Summary : We are seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building and optimising … data pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets. Key Responsibilities : Data Pipeline Development & Optimisation : Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various … sources (e.g., APIs, databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and More ❯

Job Summary : We are seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building and optimising … data pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets. Key Responsibilities : Data Pipeline Development & Optimisation : Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various … sources (e.g., APIs, databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and More ❯

ETL testing (Informatica or Microsoft Fabric) and a strong understanding of Azure Data Engineering tools such as Azure SQL Database , Azure Blob Storage , and Azure Data Factory . The ideal candidate will possess good hands-on knowledge of writing and executing SQL … data reconciliation. Write and execute complex SQL queries to validate data transformations, aggregations, and business rules in Azure SQL Database and other relational platforms. Test data flows and integrations involving: Azure Data Factory (ADF) Azure Blob Storage Azure SQL … or Power BI . Experience with automated data validation or scripting (e.g., Python, PowerShell). Familiarity with CI/CD processes in data environments. Relevant certifications (e.g., Microsoft Certified: Azure Data Engineer Associate , Informatica Developer/QA ) are advantageous. #J-18808-Ljbffr More ❯

ETL testing (Informatica or Microsoft Fabric) and a strong understanding of Azure Data Engineering tools such as Azure SQL Database , Azure Blob Storage , and Azure Data Factory . The ideal candidate will possess good hands-on knowledge of writing and executing SQL … data reconciliation. Write and execute complex SQL queries to validate data transformations, aggregations, and business rules in Azure SQL Database and other relational platforms. Test data flows and integrations involving: Analyze data mapping specifications and support data quality and audit initiatives. Log, track, and retest defects using tools like … or Power BI . Experience with automated data validation or scripting (e.g., Python, PowerShell). Familiarity with CI/CD processes in data environments. Relevant certifications (e.g., Microsoft Certified: Azure Data Engineer Associate , Informatica Developer/QA ) are advantageous. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information More ❯

Senior Data Engineer - Azure Data - Burton-on-Trent - Permanent - Hybrid Salary - £60,000 - £65,000 per annum This role requires 1 day/week in Burton-on-Trent, with hybrid working arrangements. Our client is seeking a highly skilled Senior Data Engineer to join their dynamic IT team, based in Burton-on-Trent. The Senior Data Engineer … efficient Business Intelligence technical service. Assisting in the advancement of our cloud-based data platforms, providing options for timely processing and cost-efficient solutions. A strong background in Azure Data Pipeline development is key for this position. Key Skills & Responsibilities: Build and manage pipelines using Azure Data Factory, Databricks, CI/CD, and Terraform. … laws (e.g., GDPR), implement encryption and access controls. Work with cross-functional teams and mentor junior engineers. Manage and tune Azure SQL Database instances. Proactively monitor pipelines and infrastructure for performance and reliability. Maintain technical documentation and lead knowledge-sharing initiatives. Deploy advanced analytics and machine learning solutions using Azure. Stay current More ❯

blend of remote and on-site work. Contribute to Accelerators: Help evolve Ascent’s Data accelerators, patterns, and metadata frameworks, enabling rapid implementation of effective solutions. Your Skills Azure Data Engineering: Proven success as an Azure Data Engineer, with the ability to consult, advise, engineer, and optimize data products and assets. Azure Data Products: Expertise in platforms like Microsoft Fabric, Azure Synapse Analytics, Azure Databricks, and supporting technologies such as Power BI, Microsoft Purview, Azure SQL Database, Azure Cosmos DB, Azure Data Lake, etc. Azure Infrastructure: Understanding core Azure concepts and tools (Networks, Identify/Entra, ARM, BICEP, Terraform). You don’t need to be an expert but should understand their roles. DevOps: Experience with CI/CD processes using tools like More ❯

Role Overview: We are seeking a highly skilled and experienced Senior Azure Data Engineer to join our team. In this role, you will lead the design, development, and maintenance of scalable data solutions in Microsoft Azure. You will work closely with cross-functional teams to transform complex data into actionable insights, driving business decisions and innovation. This … is based in Burton-on-Trent, Staffordshire. Key Responsibilities: Data Architecture and Design: Design, develop, and implement end-to-end data pipelines in Azure. Architect data solutions using Azure Data Lake, Azure Synapse Analytics, and Azure Databricks. Ensure solutions are scalable, efficient, and aligned with business objectives. ETL/ELT Processes … Build and optimize ETL/ELT pipelines using Azure Data Factory (ADF). Develop data ingestion processes for structured and unstructured data sources. Data Modelling and Warehousing: Design and implement enterprise data models and data warehousing solutions. Optimize data models for performance and scalability in Azure environments. Data Governance and Security: Implement data governance More ❯

to Accelerators: Help evolve Ascent’s Data accelerators, patterns and metadata frameworks, enabling customers to rapidly implement effective solutions from both a technology and business perspective. Your Skills Azure Data Engineering: Proven success as an Azure Data Engineer, with the ability … to consult, advise, engineer and optimise our customers data products and assets. Azure Data Products: Expertise in one or more of the following platforms: Microsoft Fabric, Azure Synapse Analytics and Azure Databricks, and experience in some of the supporting data technologies like Power BI, Microsoft Purview, Azure SQL Database, Azure Cosmos DB, Azure Data Lake, etc. Azure: Understand core Azure infrastructure concepts and tools (Networks, Identify/Entra, ARM, BICEP, Terraform, etc). You don’t need to be an expert in these but need to understand where they fit into More ❯

to Accelerators: Help evolve Ascent’s Data accelerators, patterns and metadata frameworks, enabling customers to rapidly implement effective solutions from both a technology and business perspective. Your Skills Azure Data Engineering: Proven success as an Azure Data Engineer, with the ability … to consult, advise, engineer and optimise our customers data products and assets. Azure Data Products: Expertise in one or more of the following platforms: Microsoft Fabric, Azure Synapse Analytics and Azure Databricks, and experience in some of the supporting data technologies like Power BI, Microsoft Purview, Azure SQL Database, Azure Cosmos DB, Azure Data Lake, etc. Azure: Understand core Azure infrastructure concepts and tools (Networks, Identify/Entra, ARM, BICEP, Terraform, etc). You don’t need to be an expert in these but need to understand where they fit into More ❯

both core D&A systems and the wider technology architecture. 1. Data & Analytics (D&A) Infrastructure Management: Develop, maintain, and optimize the D&A architecture on AWS and Azure, including the design, deployment, and maintenance of the cloud based Pladis' data platform (PDP). Deliver an architecture that's globally scalable, agile, and supportive of digital services … in at least most of the following technologies Cloud Platforms: AWS (Amazon Web Services): Knowledge of services like S3, EC2, Lambda, RDS, Redshift, EMR, SageMaker, Glue, and Kinesis. Azure: Proficiency in … services like Azure Blob Storage, Azure Data Lake, VMs, Azure Functions, Azure SQL Database, HDInsight, and Azure Machine Learning Studio. Data Storage & Databases: SQL & NoSQL Databases: Experience with databases like PostgreSQL, MySQL, MongoDB, and Cassandra. Big Data More ❯

and data teams. This hands-on technical role involves building data solutions for various projects and persistent data products. You’ll design and implement complex data pipelines, manage database populations, and ensure your solutions align with technical designs and data platform standards. While this role doesn’t include direct people management, you will support, coach, and mentor data … it happen. Together What’s involved: Contributing to low-level data solution designs, translating high-level architecture into workable designs. Ensuring quality and standards in data pipelines and database solutions. Developing coding standards and design patterns for data engineers. Building secure, governed, high-quality data pipelines from various data sources. Ensuring data is cleansed, transformed, and optimized for … data solutions, preferably in Azure. Experience with big data technologies like Databricks and/or Synapse Analytics using PySpark. Solution design experience across the data lifecycle. Proficiency with Azure services such as Data Factory, Azure Functions, ADLS Gen2, Key Vault, Synapse SQL, and Azure SQL. Programming skills in More ❯

and data teams. This hands-on technical role involves building data solutions for various projects and persistent data products. You’ll design and implement complex data pipelines, manage database populations, and ensure your solutions align with technical designs and data platform standards. While this role doesn’t include direct people management, you will support, coach, and mentor data … it happen. Together What’s involved: Contributing to low-level data solution designs, translating high-level architecture into workable designs. Ensuring quality and standards in data pipelines and database solutions. Developing coding standards and design patterns for data engineers. Building secure, governed, high-quality data pipelines from various data sources. Ensuring data is cleansed, transformed, and optimized for … data solutions, preferably in Azure. Experience with big data technologies like Databricks and/or Synapse Analytics using PySpark. Solution design experience across the data lifecycle. Proficiency with Azure services such as Data Factory, Azure Functions, ADLS Gen2, Key Vault, Synapse SQL, and Azure SQL. Programming skills in More ❯