26 to 50 of 74 Azure Synapse Analytics Jobs

Data & AI Architect - Hybrid (London) - Azure - Fabric - Modern Data Architecture up to £110,000 If you're looking for a senior role where you can influence how Data & AI is shaped and delivered within a fast-growing Microsoft partner, this is an opportunity that truly stands out. The organisation … investing heavily in modern cloud, analytics and AI and they're building a team where experienced voices can make a real difference. You'll join a culture that values deep expertise, encourages open knowledge-sharing and supports ongoing development. With modern tools, varied client work and a people-focused ...

Role Overview We are seeking an experienced Senior Azure Data Engineer with a background as a Business Intelligence Architect. The ideal candidate will possess exceptional technical, analytical, communication, and project management skills, and will join our team of data and analytics experts to help organize and leverage … extensive data on work and people, supporting the development of a scalable, distributed data estate and its supporting applications. About This Role As an Azure Data Engineer, you will ensure we have the necessary data to support clients with analytics by organizing and processing data at scale. Core ...

xperience and Education Required Approximately 10 years of industry experience implementing data integration tools such as Microsoft SSIS, Azure Data Factory, Databricks, Glue, Step Functions, Airflow, Apache Flume/Sqoop/Pig, and similar technologies. 3–5 years of team management experience. 3–5 years of consulting experience (preferred … frameworks. Experience using data modelling tools such as ERwin, ER/Studio, PowerDesigner, or similar. Experience with major database platforms, including SQL Server, Oracle, Azure Data Lake, Hadoop, Azure Synapse (SQL Data Warehouse), Snowflake, Redshift, and others. Strong experience with orchestration tools such as Azure Data ...

leading Microsoft-focused digital transformation consultancy. We blend the agility of a local business with the resources of a global enterprise, specialising in Azure to simplify how businesses modernise their IT, data, and analytics. Our strapline "modernisation, simplified..." highlights our mission to make cloud journeys straightforward and effective. Role … Overview As a Data Architect, you will design practical, scalable, and secure data solutions for clients, with a strong focus on Microsoft Azure and modern data platform services. You will work closely with customers, delivery teams, and internal stakeholders to understand business requirements, define data architectures, and support ...

that support business-critical decision-making. Essential to this role are strong python skills, expertise in MS Fabric, SQL, data warehousing, Data Lake and Azure technologies. The Role As the Lead Data Engineer, you will be responsible for designing, developing, and maintaining modern data solutions using Microsoft Fabric … Azure technologies. You will contribute to the development of engineering standards, optimise platform performance, and support the adoption of secure, scalable, and observable data architectures. Working closely with stakeholders, product owners, analysts, data scientists, and platform specialists, you will play a key role in delivering high-quality data products ...

scope and validate solution designs, oversee a multi-disciplinary delivery team and act as the technical authority across an estate with multiple integrations into Azure services and third-party systems. You will work closely with product owners, enterprise architects, integration engineers and business stakeholders to ensure that solutions … functional requirements are met. * Maintain and curate a healthy, well-documented code base, actively reducing technical debt and refactoring legacy components where needed. Integration & Azure * Design and implement integrations between Dynamics, Dataverse and a wide range of internal and external systems using Azure services such as Azure ...

Excellent communication and stakeholder management skills Desirable Experience Customer segmentation and audience analysis Campaign performance and ROI analysis Customer journey, loyalty, or customer experience analytics Experience with Azure Synapse, Databricks, Microsoft Fabric, or similar cloud data platforms Experience within retail, distribution, e-commerce, trade, or multi-site … fixed-term contract Opportunity to work on high-profile marketing and customer insight initiatives Collaborative and stakeholder-facing role with real business impact Modern analytics environment using Power BI, SQL, and cloud-based data platforms If you're passionate about using data to improve marketing performance, customer engagement ...

Excellent communication and stakeholder management skills Desirable Experience Customer segmentation and audience analysis Campaign performance and ROI analysis Customer journey, loyalty, or customer experience analytics Experience with Azure Synapse, Databricks, Microsoft Fabric, or similar cloud data platforms Experience within retail, distribution, e-commerce, trade, or multi-site … fixed-term contract Opportunity to work on high-profile marketing and customer insight initiatives Collaborative and stakeholder-facing role with real business impact Modern analytics environment using Power BI, SQL, and cloud-based data platforms If you're passionate about using data to improve marketing performance, customer engagement ...

responsible for defining, building, and managing data-driven products that deliver business value. This role bridges the gap between business stakeholders, data engineering, analytics teams, and end users to ensure data products are reliable, scalable, and aligned with strategic goals. Your responsibilities: 1. Product Strategy & Roadmap Define the vision … solutions. Ensure proper data modelling, governance, and quality standards. Oversee the end-to-end lifecycle of data products (concept → development → deployment → optimization). 4. Analytics & Insights Define KPIs and success metrics for data products. Drive data-driven decision-making across the organization. Ensure actionable insights are delivered through dashboards ...

Specialty Lines) . This role drives enterprise-scale data and AI transformation , shaping modern data ecosystems, AI platforms , and AI-driven migration strategies on Azure, Databricks, and Power BI . A recognised thought leader , responsible for influencing C-level stakeholders, defining strategy, and delivering measurable outcomes through data + … Data ingestion, processing, modelling, semantic layer, and consumption AI platform integration (model lifecycle, feature engineering, inference pipelines) Design modern Lakehouse + AI architecture leveraging Azure and Databricks Define architecture for scalable, governed, and reusable AI-ready data platforms Ensure integration of data governance, lineage, security, and responsible AI principles ...

currently undergoing an ambitious transformation of their data and technology function, with substantial investment being made into modern cloud technologies, data platforms, and analytics capabilities. This transformation is enabling the organisation to unlock greater value from its data, improve operational insight, and support critical decision-making that … including Dynamics 365, into the enterprise data warehouse Leading data migration, cleansing, modelling, and transformation activities Supporting the evolution of data platform architecture using Azure technologies Ensuring strong data governance, quality, and documentation standards Collaborating with BI teams to enable high-quality reporting and analytics delivery YOUR SKILLS ...

including Dynamics 365, into the enterprise data warehouse Leading data migration, cleansing, modelling, and transformation activities Supporting the evolution of data platform architecture using Azure technologies Ensuring strong data governance, quality, and documentation standards Collaborating with BI teams to enable high-quality reporting and analytics delivery YOUR SKILLS … EXPERIENCE: You will bring strong capability in: Microsoft SQL Server and data warehousing (Synapse/Fabric/Azure SQL) Azure Data Factory, Databricks, and modern ETL tooling Data modelling, data migration, and large-scale data transformation Building and maintaining cloud-based data platforms Working within Agile delivery ...

upside of getting it right is visible at company level. You'll design and deploy solutions in Python, SQL and Spark SQL, working across Azure Synapse, Snowflake, Databricks and Azure ML. The environment is modern and evolving. You'll help shape what good looks like before convention … from a background in data science or applied statistics, with hands-on ML experience and the Python/SQL depth to match. Experience with Azure tooling is useful; the ability to think clearly about business problems and turn them into scalable analytical solutions is non-negotiable. Curious to find ...

Data Engineering to join the team. The QA Data Engineer is responsible for ensuring the accuracy, reliability, and quality of data systems, pipelines, and analytics platforms. They design and implement automated testing frameworks, validate data transformations, and work closely with data engineers, analysts, and product teams to guarantee that … Data Engineering Testing tools like Great Expectations, dbt, pytest and data validation frameworks Experience of testing data platforms such as Snowflake, BigQuery, Redshift, Databricks, Azure Synapse Experience of testing pipelines in things like Airflow, Azure Data Factory, AWS Glue, Kafka Data Concepts ETL/ELT, data modelling ...

Data Engineering to join the team. The QA Data Engineer is responsible for ensuring the accuracy, reliability, and quality of data systems, pipelines, and analytics platforms. They design and implement automated testing frameworks, validate data transformations, and work closely with data engineers, analysts, and product teams to guarantee that … Data Engineering Testing tools like Great Expectations, dbt, pytest and data validation frameworks Experience of testing data platforms such as Snowflake, BigQuery, Redshift, Databricks, Azure Synapse Experience of testing pipelines in things like Airflow, Azure Data Factory, AWS Glue, Kafka Data Concepts ETL/ELT, data modelling ...

exposed to a wide range of projects that include internal and external suppliers. Essential Skills Proven experience as a Data Engineer Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience of using programming languages such as Python, Scala and SQL. Demonstrable knowledge … data modelling and data warehousing within platforms such as Azure. Practical experience with Microsoft Azure services, including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/ ...

teams on when and how to apply them. Optimise physical designs for performance, scalability, cost and resilience across cloud data platforms (e.g., Snowflake, Databricks, Synapse, BigQuery). Lead design reviews, ensuring models are accurate, high-quality, and aligned with business capabilities and domain boundaries. Data Governance & Metadata Management Define … business glossaries. Hands-on experience embedding data quality rules, profiling, scoring, and exception management into pipelines. Familiarity with modern cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery, Redshift, etc.). Ability to lead architectural thinking across multiple domains and manage stakeholder complexity. Ability to produce high-quality architectural ...

line with agreed business logic Build models that are scalable, user-friendly, and suitable for both dashboards and self-service reporting Collaborate with analytics and engineering teams to maintain consistency in reporting standards Data Warehouse Reporting Layer Support development of the reporting layer within the data warehouse using … procedures, CTEs, and window functions Solid understanding of data modelling concepts such as fact and dimension tables, and star schemas Desirable Experience Experience with Azure Synapse or similar cloud data platforms Knowledge of Power Query (M language) Understanding of Power BI performance optimisation techniques Familiarity with ...

strategies and roadmaps Strong hands-on experience building end-to-end AI systems (data pipelines, model development, deployment, monitoring) Deep experience with cloud platforms (Azure, AWS, or GCP) and cloud-native architecture Strong background in data engineering and large-scale data platforms (e.g., Spark, Databricks) Experience implementing MLOps frameworks … architect-level role, with strong technical leadership capability Key Skills Python (or similar programming languages) TensorFlow, PyTorch, or similar ML frameworks Cloud AI services (Azure AI, AWS SageMaker, GCP AI Platform) Data technologies (SQL/NoSQL, Spark, Databricks) API and microservices architecture DevOps/MLOps tooling Desirable Experience Experience ...

support a large-scale central government data programme. This role focuses on building, optimising, and maintaining secure, cloud-based data pipelines to enable analytics, reporting, and insight across complex government environments. You'll work as part of a multidisciplinary data team alongside architects, analysts, and platform engineers, contributing … regulated environments Strong experience with AWS data services , including: Athena , Glue , and S3 Building and managing ETL/ELT pipelines Experience working with Azure data platforms (e.g. Azure Data Lake, Synapse, Data Factory) Strong SQL skills and experience working with large, complex datasets Understanding of data security ...

Architect to support the delivery of a high-profile central government data programme. This role focuses on designing secure, scalable data architectures to support analytics, reporting, and operational insight across complex government environments, with a strong emphasis on Microsoft technologies and cloud integration. This is a hands-on architecture … current and transferable Proven experience as a Data Architect within central government or regulated environments Strong knowledge of the Microsoft data stack , including: Azure Data Services (Synapse, Data Factory, Azure SQL, Data Lake) Power BI (enterprise reporting, semantic models, governance) Data governance and metadata management (e.g. Purview ...

About Us At Oakland, we help businesses unlock the power of their data. Whether it’s data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands‐on experts who love solving problems … work will span a diverse range of clients and problem spaces. At Oakland, we operate across Data Platforms, Data Management, Data Strategy, AI, and Analytics and Insight, so a strong understanding of these areas and how they come together in a cohesive architecture is important. You will design ...

/T-SQL at scale Confidence taking ownership of workstreams and mentoring junior team members Desirable for both: PySpark/Python in Fabric Notebooks, Azure Data Factory/Synapse/Data Lake, Power BI, AI/ML exposure, DP-600 or DP-203 certifications. With two roles live ...

Ireland and the UK. This role involves designing scalable data pipelines and collaborating with clients to deliver impactful data solutions using technologies like Microsoft Azure Synapse and Power BI. The company fosters a culture of diversity and provides a remote work policy, which enhances work-life balance. TEKenable ...

delivery of a high-profile central government programme. This role focuses on designing, building, and deploying scalable machine learning solutions to enable advanced analytics, automation, and decision-making across complex government systems. This is a hands-on engineering role, working closely with data scientists, analysts, architects, and product teams … Python (e.g. Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) Experience building and deploying ML models into production environments Strong knowledge of cloud platforms, particularly: Azure (ML Studio, Azure ML, Data Factory, Synapse) Experience in AWS environments is beneficial Experience with MLOps practices and tools (CI/CD pipelines ...