51 to 75 of 131 Remote Azure Synapse Analytics Jobs

concepts in business terms. Skilled in modelling tools, architecture repositories, and visual communication. Experience in assessing emerging technologies and their impact on enterprise architecture. Desirable Skills Experience with Microsoft Azure technologies (e.g., Data Factory, Synapse, ADLS, Databricks, Power BI). Understanding of enterprise data architecture and analytics platforms. More ❯

to lead on delivery, architecture, and visual storytelling. This is a fantastic opportunity for an experienced BI professional who wants to deepen their expertise across Power BI and the Azure data stack. This is a hybrid role with on site work required in my client's offices in Rugby approximately 2 - 3 days a week depending on live projects. … Row-Level and Object-Level Security Use tools such as Tabular Editor and DAX Studio for optimisation and deployment Collaborate with DevOps to implement CI/CD pipelines in Azure DevOps Support ETL/ELT processes using Azure Data Factory, Synapse, and related services Stay current with emerging technologies, including Microsoft Fabric, to shape future data strategies … BI skills, including DAX, Power Query (M), and tabular modelling Experience designing secure, scalable reporting solutions Strong SQL skills and experience working with large datasets Hands-on experience with Azure data tools (ADF, Synapse, Logic Apps, etc.) Comfortable using Azure DevOps for version control and deployment Confident presenting to stakeholders and running end-user training sessions Passion More ❯

solutions to enable data processing, data integration, and advanced analytical capabilities. You will work with other technical teams to ensure seamless integration and collaboration between Microsoft Fabric and other Azure services. You stay up to date on the latest trends and developments in Microsoft Fabric technologies and apply this knowledge to provide innovative solutions to customers. You contribute to … successful delivery of projects, meeting quality, timing, and budget requirements. Your coaching style enables you to elevate other project members to a higher level. Required Skills & Knowledge: Data Lake - Azure SQL Server - Data Factory -Azure Databricks - Azure Databricks -Azure Synapse Azure Data Explorer - Azure DevOps - Microsoft Fabric -Python & PySpark You have a strong … background and min 5 years of experience working with Microsoft Azure Data Services (overview above) You are familiar with Big Data concepts and have experience with data processing at scale Certifications in Microsoft Azure and Fabric are a plus You have strong problem-solving skills and can quickly tackle complex technical challenges You are a team player with More ❯

governance strategies and policies. What you'll be doing as an Information Asset Register Lead Creating and maintaining a comprehensive catalogue of all data sources within the organisation using Azure Purview. Classify data based on its information type, sensitivity, quality and business value. Track data lineage using Azure Purview to support transparency and data integrity across the organisation. … to ensure compliance with data privacy regulations. Collaborate with various stakeholders, including data owners, data stewards, IT teams and business units. Provide training and support to other users of Azure Purview in the organisation. Enforce data governance policies by setting up automated data validation and policy enforcement in Azure Purview. Stay up to date with new Azure … differently from the way we do. People who don't want to just be another cog in the machine. You should have the following experience and skills: Experience with Azure Purview, including data cataloguing, data classification, data lineage tracking and policy enforcement. Experience with data security principles and data privacy regulations. Familiarity with other data management tools (Power BI More ❯

Responsibilities: Design and deliver end-to-end data architecture solutions to support business intelligence, reporting, and regulatory needs Lead the integration and optimisation of large-scale data platforms using Azure Synapse and Databricks Build and maintain robust data pipelines using Python (PySpark) and SQL Collaborate with data engineers, analysts, and stakeholders to ensure data quality, governance, and security … Ensure all solutions adhere to financial regulations and internal compliance standards Key Skills & Experience: Proven experience as a Data Architect within the financial services sector Hands-on expertise with Azure Synapse Analytics and Databricks Strong programming and data engineering skills in Python (PySpark) and SQL Solid understanding of financial data and regulatory compliance requirements Excellent stakeholder communication More ❯

client is currently recruiting a Senior Data Engineer. Based in Aberdeen, the role is on a permanent (staff) basis and offers a hybrid working arrangement. ROLE Reporting to the Analytics and Integration Lead, the Senior Data Engineer will play a pivotal role in shaping the future of the Company's data analytics capabilities. RESPONSIBILITIES: Provision of Pipeline engineering … Development Projects within the Company's portfolio. RESPONSIBILITIES Supporting Data Platform Program: Collaborate with cross-functional teams to maintain and enhance our modern data platform, leveraging your expertise in Synapse and data engineering techniques. Stay up to date with innovation: Understand best practice of data engineering and its application, and stay up to date with emerging technologies in the … Life: Take the lead in initiating, designing, and executing data projects, ensuring their entire lifecycle is managed effectively. Deliver Business Insights: Support and deliver business insight, intelligence and predictive analytics reporting which creates real business value Team Growth: Participate in the growth of our data engineering team by actively contributing to recruitment and mentoring, as this position is focused More ❯

solutions that have the power to transform businesses so that they stay competitive and can continue to grow. Digital Strategy execution that makes companies more agile and flexible. Advanced Analytics that gives them insight into what happens now or in the nearby future by recognising specific patterns in their data. They build data heavy intelligent solutions which captures real … fight against cancer Utilise Chat GPT Build the latest products in computer vision & digital twins. Responsibilities for the Successful Data Engineer: Design and implement complex data engineering solutions using Azure technologies. Build scalable, reliable, and maintainable data pipelines to support big data processing and analytics. Drive technical excellence by helping to shape the architectural direction of data systems and … platforms. Ensure data quality, performance, and security while supporting clients in unlocking actionable insights from their data. The Successful Data Engineer will have: Extensive experience in Azure technologies , including Azure Data Factory, Azure Databricks, Azure Synapse, and other relevant tools. Strong proficiency in data engineering principles , with expertise in building scalable, performant, and maintainable data More ❯

credibility through integrity and transparency in your work. You support colleagues and customers, contributing to a positive impact. Required technical skills & knowledge: PL/SQL - Python - Microsoft Fabric - Microsoft Synapse - Microsoft SQL Server - Snowflake DBT -Agile - Power BI - AI - Databricks - ML Your profile You have a bachelor's and/or master's degree in computer science or equivalent. … You have 2 to 5 years of experience with different data consumption techniques from traditional to more advanced analytics and AI perspective. (Power BI, Tableau, Machine Learning, ) Power BI means more to you than shiny graphs (and pie charts). You are eager to dive into platforms like Azure Synapse, Azure Data Lake or Databricks. You More ❯

who take initiative, embrace challenges, and think outside the box. As a Data Engineer, your mission would include: Designing, building, and maintaining robust data pipelines to support AI and analytics initiatives. Collaborating with stakeholders to understand business needs and ensure data is structured effectively for AI applications. Developing and optimizing SQL queries (especially T-SQL) and Python scripts for … efficient data processing. Implementing data modeling techniques to ensure scalable and maintainable data architectures. Working with cloud platforms such as Azure or AWS, leveraging tools like Databricks, Data Factory, and Synapse Analytics. Ensuring best practices in DevOps, version control, and data governance. Managing orchestration workflows using Airflow or similar tools. Supporting AI teams by preparing high-quality, structured … least 3 years of experience in Data Engineering. Experience in client-facing roles, in consulting companies. Technical Skills: Strong expertise in SQL (especially T-SQL) and Python. Experience in Azure with tools like Databricks, Data Factory, and Synapse Analytics. Knowledge of data modeling techniques. Familiarity with DevOps and version control best practices. Experience with Airflow or other orchestration More ❯

ll do Provide documentation for database development, data migration, and integration processes. Understand complex data structures, identify issues, and suggest solutions. Contribute to expanding our cloud data storage and analytics platform. Specify and document data migrations and integrations. Lead data mapping activities between systems. Perform gap analysis. Interpret data models with the data architect to produce data mappings. Support … relational databases. Experience with complex data migrations and integrations. Good communication and collaboration skills. Technical skills Microsoft SQL Server 2016+. Transact-SQL: queries, stored procedures, views, functions. Visual Studio. Azure DevOps, Team Foundation Server. Azure SQL, Data Factory, Synapse, Stream Analytics, Data Explorer, Fabric. T-SQL, some Python and/or R is a plus. Microsoft More ❯

Problem-solve independently and as part of a team to deliver actionable insights What you’ll bring Strong SQL skills and experience working with large data sets Knowledge of Azure Synapse Analytics, Microsoft Fabric, and Python (desirable) Natural curiosity and critical thinking to dig into data and drive meaningful improvements Collaborative mindset, able to build relationships with More ❯

Problem-solve independently and as part of a team to deliver actionable insights What you’ll bring Strong SQL skills and experience working with large data sets Knowledge of Azure Synapse Analytics, Microsoft Fabric, and Python (desirable) Natural curiosity and critical thinking to dig into data and drive meaningful improvements Collaborative mindset, able to build relationships with More ❯

We're looking for a Cloud Data Platform Engineer to help us build the future of data at 1st Central . You'll lead in shaping and scaling our Azure Data Platform-designing solutions that are smart, secure, and scalable, supporting everything from business intelligence to machine learning. You'll collaborate with Data Architects, Principal Engineers, and teams across … level designs, optimizing performance, or ensuring data security, this is your opportunity to make a significant impact in a forward-thinking, data-led business. If you're excited about Azure, Infrastructure as Code, and empowering teams to do amazing things with data, keep reading. Skills you'll need: Infrastructure as Code Mastery: Hands-on experience with Terraform and Bicep … deploying Azure infrastructure with automation, templates, and CI/CD pipelines. Azure Expertise: Solid experience with Azure services such as Synapse, Data Factory, Databricks, DevOps, networking, and security best practices. Effective Communicator & Team Player: Ability to translate technical concepts for diverse audiences and collaborate effectively. Creative Problem Solver: Enjoy solving complex infrastructure challenges with innovative solutions. More ❯

We're looking for a Cloud Data Platform Engineer to help us build the future of data at 1st Central . You'll lead in shaping and scaling our Azure Data Platform-designing solutions that are smart, secure, and scalable, supporting everything from business intelligence to machine learning. You'll collaborate with Data Architects, Principal Engineers, and teams across … level designs, optimizing performance, or ensuring data security, this is your opportunity to make a significant impact in a forward-thinking, data-led business. If you're excited about Azure, Infrastructure as Code, and empowering teams to do amazing things with data, keep reading. Skills you'll need: Infrastructure as Code Mastery: Hands-on experience with Terraform and Bicep … deploying Azure infrastructure with automation, templates, and CI/CD pipelines. Azure Expertise: Solid experience with Azure services such as Synapse, Data Factory, Databricks, DevOps, networking, and security best practices. Effective Communicator & Team Player: Ability to translate technical concepts for diverse audiences and collaborate effectively. Creative Problem Solver: Enjoy solving complex infrastructure challenges with innovative solutions. More ❯

sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering standards, code quality, and peer review Supporting teams through training sessions and knowledge sharing Main Skills Needed: Proven experience in data engineering, ideally … 5+ years Advanced SQL skills and strong knowledge of Azure (Data Lake, Synapse, SQL Server) Comfortable with Python, C#, and working with APIs Familiar with cloud data platforms (Azure essential; AWS useful) Confident designing data architecture and building models from scratch Solid understanding of database management and governance principles Skilled in Excel, including VBA for analysis and More ❯

For one of our large scale clients based in Brussels, we are searching for a Freelance Azure Data Engineer that will be responsible for building and developing their internal platforms. Key Responsibilities: Design and implement robust data pipelines using Azure Data Factory, Azure Synapse, and related services. Develop and manage data integration solutions across structured and … and business teams to enable data-driven decision-making. Support cloud data migration projects and modern data platform initiatives on Azure. Your Profile: Strong hands-on experience with core Azure data services (Data Factory, Synapse, Data Lake, Databricks, etc.). Proficient in writing complex SQL queries and performance tuning. Solid understanding of ETL/ELT frameworks and data More ❯

Data Analyst - London - Hybrid - £50k - £55k My client are looking for an experienced end-to-end Data Analyst to join their expanding analytics and reporting function. This role requires an individual who is an expert in Data modelling, transformation, and analytics. This role also requires collaboration with stakeholders, cross-functional teams and clear and concise communication skills. Salary and … birthday Pension plan Training and development opportunities-comprehensive skills-based training And many more Role and Responsibilities Design, development, and maintenance of scalable, efficient data models using SQL, ADF, Synapse, Databricks and Power BI. Collaboration within the data team to understand requirements and design and build models that support business requirements Support the data team through data extraction, transformation … and troubleshoot data models, identifying and resolving any performance issues and proactively working on measures to maintain data availability and reliability. Long-term willingness to contribute to developing the analytics function for data science readiness. What do I need to apply for the role Expert SQL, Power BI, and data modelling. Familiarity working in an Azure environment (ADF More ❯

Data Analyst - London - Hybrid - £50k - £55k My client are looking for an experienced end-to-end Data Analyst to join their expanding analytics and reporting function. This role requires an individual who is an expert in Data modelling, transformation, and analytics. This role also requires collaboration with stakeholders, cross-functional teams and clear and concise communication skills. Salary and … birthday Pension plan Training and development opportunities-comprehensive skills-based training And many more Role and Responsibilities Design, development, and maintenance of scalable, efficient data models using SQL, ADF, Synapse, Databricks and Power BI. Collaboration within the data team to understand requirements and design and build models that support business requirements Support the data team through data extraction, transformation … and troubleshoot data models, identifying and resolving any performance issues and proactively working on measures to maintain data availability and reliability. Long-term willingness to contribute to developing the analytics function for data science readiness. What do I need to apply for the role Expert SQL, Power BI, and data modelling. Familiarity working in an Azure environment (ADF More ❯

authoring blogs, presenting at webinars, and engaging in external speaking opportunities. Technical Delivery Excellence You'll design and optimise cloud-based data architectures (e.g. Snowflake, Databricks, Redshift, Google BigQuery, Azure Synapse) to support advanced analytics. You'll build and automate scalable, secure, and high-performance data pipelines handling diverse data sources. You'll work closely with our clients … mentor and coach team members, fostering a culture of continuous learning and collaboration. What you'll need to succeed Experience 10+ years of professional experience working on data and analytics projects, with expertise in data migration, integration, and cloud-based data warehousing for enterprise organisations. Proven experience designing data architectures on platforms like AWS, Azure, or GCP. Technical … ELT tools (e.g. Matillion, Informatica, Talend) and cloud data platforms (e.g., Snowflake, Databricks, BigQuery). Expertise in data modelling techniques (e.g., star schema, snowflake schema) and optimising models for analytics and reporting. Familiarity with version control, CI/CD pipelines, and containerisation tools (e.g., Git, Jenkins, Docker, Kubernetes). Strong knowledge of relational and non-relational databases. Leadership & Commercial More ❯

flexibility of working both remotely and onsite. The contract has potential for extension or transition onto other exciting projects. Key Responsibilities:* Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and Azure Synapse.* Collaborate with cross-functional teams to ensure data quality and integration.* Support data ingestion, transformation, and storage in cloud environments.* Troubleshoot and … performance and reliability.* Maintain compliance with security protocols and clearance requirements. Essential Skills & Experience:* Must hold NPPV3 + SC clearance (this is a mandatory requirement).* Proven expertise in Azure Data Factory, Databricks, and Azure Synapse Analytics.* Strong experience in building and managing cloud-based data solutions.* Solid understanding of data modeling, ETL/ELT processes, and More ❯

and a focus on GDPR at all times To be successful in this role you will have . Coding experience with Python/PySpark Data pipeline development experience utilising Azure Data Factory or Fabric Pipelines Experience working within an Azure environment such as Lakehouse Architecture, Data Lake, Delta Lake, Azure Synapse Strong SQL knowledge Strong communication More ❯

practice approaches to monitoring and error-handling Writing unit tests, git Version control Awareness of reliability patterns in ETL pipelines Techniques and tools for sanitizing data prior to use Azure data certifications Azure Synapse/Fabric: Synapse-link, Fabric Link, on-demand SQL engine Use of python in Jupyter notebooks for data processing Azure storage More ❯

and a focus on GDPR at all times To be successful in this role you will have . Coding experience with Python/PySpark Data pipeline development experience utilising Azure Data Factory or Fabric Pipelines Experience working within an Azure environment such as Lakehouse Architecture, Data Lake, Delta Lake, Azure Synapse Strong SQL knowledge Strong communication More ❯

data integrity and GDPR compliance To be successful in the role you will have Hands-on coding experience with Python or PySpark Proven expertise in building data pipelines using Azure Data Factory or Fabric Pipelines Solid experience with Azure technologies like Lakehouse Architecture, Data Lake, Delta Lake, and Azure Synapse Strong command of SQL Excellent communication More ❯

data integrity and GDPR compliance To be successful in the role you will have Hands-on coding experience with Python or PySpark Proven expertise in building data pipelines using Azure Data Factory or Fabric Pipelines Solid experience with Azure technologies like Lakehouse Architecture, Data Lake, Delta Lake, and Azure Synapse Strong command of SQL Excellent communication More ❯