476 to 500 of 901 Azure Synapse Analytics Jobs

Responsibilities : 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam … or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to be a SPOC for all technical discussions across industry … communication skills. A minimum of 5 years’ experience in a similar role. Ability to lead and mentor the architects. Required Skills : Mandatory Skills [at least 2 Hyperscalers]: GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF. Preferred Skills More ❯

Responsibilities : 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam … or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to be a SPOC for all technical discussions across industry … communication skills. A minimum of 5 years’ experience in a similar role. Ability to lead and mentor the architects. Required Skills : Mandatory Skills [at least 2 Hyperscalers]: GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF. Preferred Skills More ❯

Responsibilities : 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam … or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to be a SPOC for all technical discussions across industry … communication skills. A minimum of 5 years’ experience in a similar role. Ability to lead and mentor the architects. Required Skills : Mandatory Skills [at least 2 Hyperscalers]: GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF. Preferred Skills More ❯

Responsibilities : 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam … or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to be a SPOC for all technical discussions across industry … communication skills. A minimum of 5 years’ experience in a similar role. Ability to lead and mentor the architects. Required Skills : Mandatory Skills [at least 2 Hyperscalers]: GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF. Preferred Skills More ❯

Responsibilities : 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam … or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to be a SPOC for all technical discussions across industry … communication skills. A minimum of 5 years’ experience in a similar role. Ability to lead and mentor the architects. Required Skills : Mandatory Skills [at least 2 Hyperscalers]: GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF. Preferred Skills More ❯

Responsibilities : 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam … or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to be a SPOC for all technical discussions across industry … communication skills. A minimum of 5 years’ experience in a similar role. Ability to lead and mentor the architects. Required Skills : Mandatory Skills [at least 2 Hyperscalers]: GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF. Preferred Skills More ❯

optimisation) Strong SQL skills and/or programming knowledge in Python, Java, Scala, or .NET Experience with Git-based CI/CD tools (e.g. GitLab CI/CD, Jenkins, Azure DevOps) Clear and confident communicator in English Nice to Have Familiarity with Azure services like Data Factory, Data Lake, or Synapse Exposure to Apache Spark , Hadoop , or More ❯

shape technical standards. ?? What You'll Do: Lead end-to-end data migration projects from legacy systems to D365. Design, build, and assure robust migration pipelines using SSIS, KingswaySoft, Azure Data Factory, and more. Define best practices, mentor data engineers, and drive continuous improvement. Engage with stakeholders, lead workshops, and translate business needs into technical solutions. Champion the use … or other SaaS platforms. Experience with fault-tolerant ETL pipelines and data governance tools. ?? Bonus Points For: Experience migrating from platforms like Salesforce, Raisers Edge, Hubspot, etc. Familiarity with Azure Synapse, Power BI, Python (Jupyter), and Microsoft Purview. Azure Data certifications and a passion for innovation in data engineering. ?? The Offer: Starting Salary : £80,000+ per annum More ❯

low-carbon energy in the UK. As our Data Engineering Lead, you'll be responsible for designing and leading the development of a secure, scalable data platform on Microsoft Azure , helping turn complex construction data into actionable insight. You'll manage the full data lifecycle - from ingestion and transformation to warehousing and modelling - all while ensuring data quality, integrity … for live environments To succeed in this role, you'll bring a blend of strong technical expertise and people leadership. We're looking for someone with experience in: Microsoft Azure Data services (Data Factory, Databricks, Azure SQL, Synapse) SQL, NoSQL, and API-based data pipelines Agile methodologies such as SCRUM or Kanban Leading engineering teams in complex More ❯

lead transformative data projects and architect solutions that drive business impact. Responsibilities: Partner with clients to understand data challenges and craft solutions using Microsoft Fabric. Design data architectures integrating Azure Synapse, Data Factory, Databricks, and Power BI. Manage end-to-end solution delivery, ensuring performance and scalability. Develop data models and pipelines for real-time insights. Optimize systems More ❯

Document data lineage and recommend improvements for data ownership and stewardship. Qualifications Programming: Python, SQL, Scala, Java. Big Data: Apache Spark, Hadoop, Databricks, Snowflake, etc. Cloud: AWS (Glue, Redshift), Azure (Synapse, Data Factory, Fabric), GCP (BigQuery, Dataflow). Data Modelling & Storage: Relational (PostgreSQL, SQL Server), NoSQL (MongoDB, Cassandra), Dimensional modelling. DevOps & Automation: Docker, Kubernetes, Terraform, CI/CD More ❯

Select Which statement best describes your hands on responsibility for architecting and tuning cloud native data lake/warehouse solutions (e.g., AWS S3 + Glue/Redshift, GCP BigQuery, Azure Synapse)? Select What best reflects your experience building ETL/ELT workflows with Apache Airflow (or similar) and integrating them into containerised CI/CD pipelines (Docker, GitHub More ❯

This fantastic institution located in SW London is seeking a dynamic and versatile Data Engineer/Analytics Engineer to contribute to the development, enhancement, and management of their data systems, pipelines, and reporting infrastructure. This role will focus on designing and maintaining efficient data pipelines while building a scalable data warehouse architecture. A major aspect of this position will … involve integrating new data sources to create a unified Single Customer View. Additionally, collaboration with the Analytics and Insights teams is essential to ensure they have seamless access to the necessary data, as well as assisting in optimizing SQL reporting processes. The ideal candidate will: Possess a strong curiosity and passion for exploring, transforming, and integrating data from diverse … multiple data sources, automating the transition from UAT to Production. Maintain and evolve the Single Customer View to consolidate data from various sources. Demonstrate hands-on experience with Microsoft Azure technologies (including Synapse Analytics, Datalake, Azure SQL), as well as familiarity with DevOps and GitHub practices. Contract Details: Initially a Fixed Term Contract, likely transitioning to More ❯

Job Description Azure Data Architect 6 Months (options to extend) - Inside IR35 Luton/Bedfordshire 2-3 days onsite per week Must be eligible for SC Clearance We are looking for an experienced Azure Data Architect to join a dynamic programme within the hospitality and retail domain. This is an exciting opportunity to work on large-scale data … transformation initiatives, leveraging cutting-edge cloud technologies and modern data platform architectures. This role will play a key part in shaping and delivering data architecture solutions on Azure, with a focus on implementing lake house design using tools like Databricks. You’ll be working closely with enterprise architecture teams, contributing to governance and driving decisions that will influence business … based on functional and non-functional requirements Prepare architecture decision documents and present for governance approvals Design and implement data lakehouse solutions Model data for end-user reporting and analytics Ensure successful deployment of Azure data services Provide architectural oversight and guidance to technical teams Work within an agile delivery model, adapting to changes as needed Support knowledge More ❯

remote (working UAE hours) Salary: 5k GBP per month Are you a data expert with a passion for building scalable, cloud-first data pipelines? We’re hiring an experienced Azure Data Engineer to join a fast-growing team focused on developing a centralised, enterprise-grade data warehouse in the Azure cloud. This is a full-time remote role … a data-driven organization - this could be the perfect opportunity for you. What You’ll Be Doing: Designing, building, and optimizing data models for a modern data warehouse on Azure Creating and maintaining secure, scalable data pipelines and ingestion workflows Leveraging Azure Synapse Analytics and ADF to deliver robust ELT solutions Ensuring pipeline execution, availability, and … issue resolution across the data stack What We’re Looking For: 5+ years of experience in data engineering, integration, and ETL/ELT projects 3+ years hands-on with Azure tools Strong command of SQL , stored procedures, and data modeling (Kimball or 3NF) Solid understanding of data warehouse architecture and best practices= Familiarity with Salesforce (SFDC Sales Cloud), Google More ❯

Azure Data Engineer Manchester Up to £65k On behalf of our industry-leading client, we are recruiting for a talented Azure Data Engineer. As Azure Data Engineer, you will be working closely with Data Engineering, Business Services, and Technical Partners to create and integrate Azure Data Engineering pipelines transforming core systems data into knowledge. The Azure … in real-time to the quote rating engine Generate and schedule data enrichment processes Develop effective, scalable solutions that can be efficiently tested, deployed, updated, maintained, and managed The Azure Data Engineer will have the following: Experienceworkingin an Agile environment Advanced SQL coding skills Azure Data Lake (Gen 1 and 2) Azure Analysis Services Azure SQL … Data Warehouse (Synapse Analytics) Azure Data Factory Experience working with large JSON documents Strong data modelling skills Experience in working with large data sets in an enterprise environment Benefits This is a fantastic opportunity for an Azure Data Engineer to join an award-winning company, where you will work in an innovative and dynamic environment and More ❯

Azure Data Engineer – Manchester– Up to £65k On behalf of our industry-leading client, we are recruiting for a talented Azure Data Engineer. As Azure Data Engineer, you will be working closely with Data Engineering, Business Services, and Technical Partners to create and integrate Azure Data Engineering pipelines transforming core systems data into knowledge. The Azure … in real-time to the quote rating engine Generate and schedule data enrichment processes Develop effective, scalable solutions that can be efficiently tested, deployed, updated, maintained, and managed The Azure Data Engineer will have the following: Experienceworkingin an Agile environment Advanced SQL coding skills Azure Data Lake (Gen 1 and 2) Azure Analysis Services Azure SQL … Data Warehouse (Synapse Analytics) Azure Data Factory Experience working with large JSON documents Strong data modelling skills Experience in working with large data sets in an enterprise environment Benefits This is a fantastic opportunity for an Azure Data Engineer to join an award-winning company, where you will work in an innovative and dynamic environment and More ❯

and loading data , ensuring quality and consistency throughout the process. This role is ideal for someone with a strong technical background in data engineering and experience with Microsoft/Azure data tools, particularly in a CRM or Dynamics/D365 environment. In the medium term, there will be scope and opportunity to build modern, cloud-native data solutions using … Azure Synapse or Microsoft Fabric. Key Responsibilities As the sole Data Engineer for this programme of work, perform ETL (Extract, Transform, Load) processes to migrate data into D365 CE modules (e.g., Sales, Customer Service, Field Service). Work with data from legacy CRM systems, spreadsheets, databases, and other source platforms. Map source data to Dynamics 365 CE entities … Significant Data Migration and Data Engineering experience, ideally with some prior exposure to a Dynamics 365 CE (Sales, Customer Service, Field Service) or Microsoft Dataverse environment. Experience with Microsoft Azure technologies and data services (e.g., Azure Data Factory, Azure Synapse Analytics). Strong hands-on experience with ETL tools such as Azure Data Factory More ❯

and loading data , ensuring quality and consistency throughout the process. This role is ideal for someone with a strong technical background in data engineering and experience with Microsoft/Azure data tools, particularly in a CRM or Dynamics/D365 environment. In the medium term, there will be scope and opportunity to build modern, cloud-native data solutions using … Azure Synapse or Microsoft Fabric. Key Responsibilities As the sole Data Engineer for this programme of work, perform ETL (Extract, Transform, Load) processes to migrate data into D365 CE modules (e.g., Sales, Customer Service, Field Service). Work with data from legacy CRM systems, spreadsheets, databases, and other source platforms. Map source data to Dynamics 365 CE entities … Significant Data Migration and Data Engineering experience, ideally with some prior exposure to a Dynamics 365 CE (Sales, Customer Service, Field Service) or Microsoft Dataverse environment. Experience with Microsoft Azure technologies and data services (e.g., Azure Data Factory, Azure Synapse Analytics). Strong hands-on experience with ETL tools such as Azure Data Factory More ❯

and loading data , ensuring quality and consistency throughout the process. This role is ideal for someone with a strong technical background in data engineering and experience with Microsoft/Azure data tools, particularly in a CRM or Dynamics/D365 environment. In the medium term, there will be scope and opportunity to build modern, cloud-native data solutions using … Azure Synapse or Microsoft Fabric. Key Responsibilities As the sole Data Engineer for this programme of work, perform ETL (Extract, Transform, Load) processes to migrate data into D365 CE modules (e.g., Sales, Customer Service, Field Service). Work with data from legacy CRM systems, spreadsheets, databases, and other source platforms. Map source data to Dynamics 365 CE entities … Significant Data Migration and Data Engineering experience, ideally with some prior exposure to a Dynamics 365 CE (Sales, Customer Service, Field Service) or Microsoft Dataverse environment. Experience with Microsoft Azure technologies and data services (e.g., Azure Data Factory, Azure Synapse Analytics). Strong hands-on experience with ETL tools such as Azure Data Factory More ❯

join our innovative technology and data teams. Working as an AI & Machine Learning Engineer you’ll be responsible for understanding and answering complex business questions using advanced data and analytics techniques. You’ll be technically proficient in the end-to-end AI and machine learning model development lifecycle, with experience of prompt engineering, and a keen interest in keeping … business value in collaboration with teams such as Data Engineering, Machine Learning Operations (MLOps), Architecture, and Software Development. You’ll also proactively identify opportunities, providing the level of advanced analytics support needed for the problem and will provide technical thought leadership regarding the ethical, sustainable and scalable use of AI and machine learning solutions. Could you fit the bill … Core skills we’re looking for to succeed in the role: Innovative Experiment Design: You’ll turn complex business questions into innovative, well-designed experiments that prove value. Advanced Analytics Implementation: You’ll identify opportunities for advanced analytics such as Machine Learning, AI, Generative AI, and Data Science, and implement them within an Agile framework. Technical Proficiency: You More ❯

Data Analytics Developer Location: London (Hybrid) Type: Permanent | Full-Time My client is seeking a talented and driven Data Analytics Developer to join our fast-paced and evolving data team. This is a reporting-first technical role, ideal for someone with a passion for building insightful dashboards, collaborating with senior stakeholders, and working at the forefront of cloud … to support accurate and scalable reporting * Assist in managing the Power BI environment, including DAX development and workspace administration * Contribute to ETL processes and data transformation workflows within the Azure Data Platform * Support the future transition to Google Cloud Platform (GCP) and tools like Looker, gaining exposure to modern data technologies Essential Experience: * Strong expertise in Power BI dashboard …/report development and DAX * Solid experience in SQL/T-SQL for data extraction and transformation * Hands-on experience with Azure technologies (Data Lake, Data Factory, Synapse, etc.) * Data modelling experience (star/snowflake schemas, normalization, etc.) * Familiarity with ETL processes and working alongside Data Engineers * Excellent communication and stakeholder management skills * Insurance industry experience (ideally Reinsurance More ❯

Job Title: Data Engineer - Azure Platform Location: Amsterdam, Netherlands Type: Full-Time Hybrid Overview We are looking for an experienced Data Engineer to join a growing Data Platform team in Amsterdam. You will play a key role in designing, developing, and maintaining an Azure-based data infrastructure that supports large-scale data processing and advanced analytics across … the organization. Key Responsibilities Design, build, and maintain scalable and secure data pipelines on Azure. Work with Azure Data Factory , Azure Databricks , Azure Synapse , and other Azure services to ingest, transform, and store data efficiently. Implement infrastructure-as-code using Terraform to ensure consistency and scalability of the platform. Collaborate with data scientists, analysts, and … cost-efficiency of data solutions in the cloud environment. Required Skills & Experience 3+ years of experience as a Data Engineer or in a similar role. Proven experience with the Azure data ecosystem , including: Azure Data Factory Azure Databricks Azure Synapse Analytics Azure Cloud Services (Storage, Functions, Monitoring) Strong experience with Terraform and infrastructure More ❯

client within the finance space just outside of Amsterdam is looking for a Senior Data Engineer who can help them scale a brand new data platform using the latest Azure stack. You will join an existing team of 3 people and focus on helping the data platform as the business portfolio expands! Responsibilities: Collaborate with the Lead Data Engineer … and Team Lead in Azure DevOps to plan and prioritize tasks. Develop data pipelines in Azure Synapse Analytics, along with data ingestion and process scripts using PySpark and Pandas, while managing version control through Git. Create unit tests, test your own work and review work of colleagues to ensure quality control. Enhance and maintain deployment pipelines … monitoring practices. Create new data pipeline solutions on various data sources (ERP, CRMs, etc.) Requirements: • 4+ years of experience within Data Engineering • Strong Python and SQL skills • Knowledge of Azure and related technologies is important for this role (Synapse, ADF, Databricks etc.) • Knowledge of Pyspark would be a plus • Experience with managing stakeholders would be a plus Salary More ❯

client within the finance space just outside of Amsterdam is looking for a Senior Data Engineer who can help them scale a brand new data platform using the latest Azure stack. You will join an existing team of 3 people and focus on helping the data platform as the business portfolio expands! Responsibilities: Collaborate with the Lead Data Engineer … and Team Lead in Azure DevOps to plan and prioritize tasks. Develop data pipelines in Azure Synapse Analytics, along with data ingestion and process scripts using PySpark and Pandas, while managing version control through Git. Create unit tests, test your own work and review work of colleagues to ensure quality control. Enhance and maintain deployment pipelines … monitoring practices. Create new data pipeline solutions on various data sources (ERP, CRMs, etc.) Requirements: • 4+ years of experience within Data Engineering • Strong Python and SQL skills • Knowledge of Azure and related technologies is important for this role (Synapse, ADF, Databricks etc.) • Knowledge of Pyspark would be a plus • Experience with managing stakeholders would be a plus Salary More ❯