176 to 200 of 6,996 Permanent SQL Jobs

with AI technologies to accelerate software development and business capability is highly desirable Experience with Docker, AWS and/or Google Cloud Platform Advanced SQL (Amazon Redshift, T-SQL) and data modelling Experience developing AI applications using Large Language Models (LLMs), including prompt engineering, RAG, vector databases, embeddings and commercial ...

premise data platforms Contribute to technical discussions, client engagements and solution design Essential Experience 3+ years’ commercial experience in data engineering Strong Python and SQL skills Experience with ETL/ELT processes and data pipeline development Experience working with cloud platforms such as AWS, Azure or GCP Knowledge of technologies ...

based data platforms Understanding of how to build reliable, well-tested data systems Experience with Azure data technologies such as Azure Cosmos DB, Azure SQL Database, or Azure Data Factory Experience with Python or another object-oriented programming language Experience with Azure Databricks and/or Apache Spark Experience with ...

preventing one vendor change from adversely affecting another layer of the ERP stack. Troubleshoot issues that span ERP base code, ISV functionality, custom extensions, SQL/database services, identity, integrations, reporting and end-user clients. Integration, Data & Interoperability Design and govern integrations using appropriate Dynamics patterns including REST/OData … where this is the approved target architecture. Operations, Performance & Problem Management Own ERP operational health and service targets, using application telemetry, SQL/database diagnostics, batch monitoring, integration logs and platform monitoring to identify emerging issues. Lead resolution of complex, cross-platform incidents and problem-management root cause analyses, coordinating ...

Qualifications: Strong experience with Databricks- DLT, Delta Lake concepts, UC governanceSolid understanding of streaming technologies (e.g., Spark Structured Streaming, Autoloader)Programming skills in Python, SQL, or ScalaProficiency in data modelling, ETL/ELT processes, and data architectureExperience in MS Copilot, AI Foundry , Databricks (MosiacAI, MLflow, Agentbricks, Genie)Strong analytical background ...

willingness to learn from others. Understanding of data governance, security and reporting best practices. Technical Skills Essential Microsoft Power BI DAX Power Query (M) SQL Data Modelling Power BI Service Report and Dashboard Design Data Visualisation Best Practice Desirable Microsoft Fabric Azure Data Services Tableau AWS QuickSight Power Platform (Power ...

lineage, cataloguing, validation, and GDPR/PII compliance Partner with analytics, MarTech, and marketing teams to align data solutions with business needs Requirements Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory) Experience with cloud data platforms (e.g., Azure ...

patterns using Microsoft Fabric Data Factory, Data Engineering and Data Warehouse capabilities. Support the migration of existing data workloads from legacy platforms, Azure Synapse, SQL Server, Power BI or other analytics environments into Microsoft Fabric. Apply best practice across performance, security, governance, cost control and operational resilience. Produce high-quality … Power BI, semantic modelling, DAX and reporting best practice. Experience with Azure data services such as Azure Data Factory, Azure Synapse Analytics, Azure SQL, Data Lake Storage or Databricks would be advantageous. Understanding of data governance, security, access control, data quality and data lifecycle management. Ability to troubleshoot data platform ...

based data platforms An understanding of how to build reliable, well‐tested data systems Technical expertise Azure data technologies (e.g. Azure Cosmos DB, Azure SQL Database, Azure Data Factory) Python or another object‐oriented programming language Azure Databricks and/or Apache Spark Reporting or visualisation tools such as Power ...

role, including direct line management and mentorship of engineers. Strong hands-on experience with cloud data platforms, ideally including Azure Data Factory and Azure SQL/Synapse Analytics (or AWS/GCP equivalents). Demonstrable experience implementing Git-based version control, CI/CD pipelines, environment separation, peer code reviews ...

governance practices, including lineage, cataloguing, validation, and GDPR/PII compliancePartner with analytics, MarTech, and marketing teams to align data solutions with business needsRequirementsStrong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory)Experience with cloud data platforms (e.g., Azure ...

role. Demonstrated knowledge of P&C insurance pricing concepts, including rate adequacy, loss development, rating factors, and exposure bases. Proficiency in data analysis tools — SQL, Python, R, or advanced Excel/VBA — for querying and analysing large insurance datasets. Experience working with actuarial or pricing datasets and familiarity with insurance ...

essential. Experience assessing existing data management systems and recommending improvements. Experience with modern data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly ...

essential. Experience assessing existing data management systems and recommending improvements. Experience with modern data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly ...

essential. Experience assessing existing data management systems and recommending improvements. Experience with modern data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly ...

essential. Experience assessing existing data management systems and recommending improvements. Experience with modern data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly ...

essential. Experience assessing existing data management systems and recommending improvements. Experience with modern data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python. Experience with data engineering and pipeline technologies such as Apache Airflow and Spark. Experience working with cloud platforms, particularly AWS and Azure. Knowledge ...

approach to problem-solving. Strong stakeholder engagement, management and communication skills. Ability to lead analytical projects from idea through to delivery and adoption. Advanced SQL skills with experience querying large datasets accurately and efficiently. Experience with cloud data platforms such as BigQuery, Google Cloud Platform or AWS. Experience building dashboards ...

reports, and data models that support business decision-making. Experienced in transforming complex data into meaningful insights using Power BI, DAX, Power Query, and SQL, while integrating data from multiple sources. Strong focus on data quality, performance optimization, and stakeholder engagement to deliver scalable business intelligence solutions that drive operational ...

cloud data platforms: Azure, AWS, and Google Cloud Platform (GCP).Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data ...

data platforms: Azure, AWS, and Google Cloud Platform (GCP). Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands‐on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data ...

identify, analyse, and resolve data quality issues effectively. Technical proficiency in cloud and data technologies, including Databricks, Snowflake, AWS, Azure, relational and NoSQL databases, SQL, Python, and scripting for automation and metadata extraction. Experience working with agile methodologies and tools (Scrum, Kanban, Azure DevOps, Jira), combined with the ability ...

Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc) o Software development best practices including CI/CD, TDD and version control. o Containerisation ...

understanding of data analysis principles and marketing analytics, including concepts such as customer segmentation, attribution, funnel analysis, and campaign performance measurement. Basic proficiency in SQL and/or programming languages such as Python or R, with a strong motivation to develop deeper data engineering and analytics skills. Familiarity with data ...

understanding of data analysis principles and marketing analytics, including concepts such as customer segmentation, attribution, funnel analysis, and campaign performance measurement. Basic proficiency in SQL and/or programming languages such as Python or R, with a strong motivation to develop deeper data engineering and analytics skills. Familiarity with data ...