301 to 325 of 2,013 SQL Jobs

capability development across teams, mentoring senior and junior engineers Required Skills & Experience Strong background in software engineering or data engineering with applied AI (Python, SQL) Proven experience delivering AI/ML and generative AI systems in production Deep understanding of LLMs , including: Prompt engineering Embeddings Fine-tuning Retrieval-Augmented Generation ...

Data Vault, semantic layers, Star Schema patterns, Snowflake object hierarchies, and governance frameworks. Design scalable integration architectures for legacy platforms, including AS400, iSeries, and SQL-based systems, ensuring robust reconciliation, auditability, and incremental data loading capabilities. Architect modern data pipelines leveraging Snowflake and orchestration technologies, ensuring reliability, scalability, idempotency ...

cloud services, including: CloudWatch, IAM, S3, Glue, ECR, EC2, EMR, DynamoDB, Lake Formation Experience with Infrastructure as Code (Terraform) Proficiency in Python, SQL, and familiarity with PySpark Experience with Apache Spark and data processing frameworks Hands-on experience with Apache Airflow for workflow orchestration Experience using Jupyter Notebooks and/ ...

. Solid experience with traditional EDI development and B2B data-exchange patterns. Strong knowledge of SFTP , secure file transfer, and automated workflows. Proficient in SQL and scripting for integration and data transformation. Experience with Azure integration technologies such as Data Factory , Logic Apps , or API Management . Understanding of data ...

should be comfortable discussing technical concepts with development and delivery teams. Useful exposure may include: Azure DevOps, Jira, ClickUp, or similar tools Basic SQL awareness Software development environments Testing and QA activities Agile, Scrum, Waterfall, or Kanban methodologies Microsoft Office applications including Visio, Excel, Word, and PowerPoint The Type ...

best practice. Knowledge and Skills: Extensive experience of Python preferred, including advanced concepts like decorators, protocols, functools, context managers, and comprehensions. Strong understanding of SQL, database design, and data architecture. Experience with Databricks and/or Spark. Knowledgeable in data governance, data cataloguing, data quality principles, and related tools. Skilled ...

important as anything else here. On the technical side: Strong Python or R skills, with growing use of AI for analytics Expert-level SQL, comfortable querying large datasets quickly Confident with BI tools like PowerBI or Tableau Familiarity with cloud data warehouses such as BigQuery or Azure Fraud analytics experience ...

important as anything else here. On the technical side: Strong Python or R skills, with growing use of AI for analytics Expert-level SQL, comfortable querying large datasets quickly Confident with BI tools like PowerBI or Tableau Familiarity with cloud data warehouses such as BigQuery or Azure Fraud analytics experience ...

important as anything else here. On the technical side: Strong Python or R skills, with growing use of AI for analytics Expert-level SQL, comfortable querying large datasets quickly Confident with BI tools like PowerBI or Tableau Familiarity with cloud data warehouses such as BigQuery or Azure Fraud analytics experience ...

practical experience. Knowledge Essential Good working knowledge with integration and transformation within Cloud Data Warehouses (e.g Azure, AWS, GCP) including languages such as Python, SQL, PySpark, Java Knowledge and experience with programming languages such as React, Typescript, Javascript is desirable Skills and Experience Essential Can deliver well-scoped work independently ...

/CD pipeline. Strong Accessibility, Security, Performance and Caching coding. Set yourself apart: Experience with building datastore solutions on at least one No-SQL(Elasticsearch). Proven ability to apply analytical and creative thought and translate into technical solutions. Proven ability to debug and resolve complex technical issues. Excellent leadership ...

financial environment. Qualification in Finance or Regulatory discipline preferred (not necessary) Must have hands on knowledge for ETL tool like DataStage, Tivoli. Experience with SQL, data profiling, data quality and analytics. Good Excel based spreadsheet, quantitative and data management skills. Experience in both waterfall and agile delivery preferred. Knowledge ...

specialist area.. Knowledge Essential Extensive knowledge with integration and transformation within Cloud Data Warehouses (e.g Azure, AWS, GCP) including languages such as Python, SQL, PySpark, Java Knowledge and experience with programming languages such as React, Typescript, Javascript is desirable. Skills and Experience Essential Proven ability to use data engineering expertise ...

experience of event-driven messaging platforms (Azure Service Bus or equivalent) producer/consumer patterns, dead-letter handling and message-based troubleshooting Strong T-SQL skills including complex joins, execution plans, and reading and understanding stored procedures, as part of a broader investigative toolkit rather than the whole ...

ONTAP upgrade domain or familiarity with NetApp storage solutions. Experience building and consuming RESTful APIs and working with microservices architecture. Familiarity with databases (SQL and/or NoSQL). Experience with CI/CD pipelines, version control (Git), and Agile practices. Preferred Qualifications Experience with Active IQ or similar telemetry ...

within a globally distributed team - you don’t need someone sitting next to you to get up to speed or get things done Strong SQL skills - comfortable querying, transforming, and sense-checking data without hand-holding Experience with or enthusiasm for AI tools and workflow automation Nice to Have Background ...

will have extensive experience across user acceptance testing, regression, end-to-end and API testing, as well as working with data at a SQL level where required. The environment is Agile and includes a mix of enterprise and legacy systems, so you'll need to be comfortable adapting your approach ...

experience working in a multi-disciplinary data team to deliver and develop impactful data solutions as well as working in Python and/or SQL in a data engineering context. Some of the Benefits our people love! 25 days annual leave (rising to 30 after 5 years), plus 8 public ...

professional development and staying current with industry trends. Proficient in at least two of the following: Excel for BI, Tableau, Power BI Skilled in SQL and ideally Python, demonstrated through real-world projects. Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA). Solid ...

professional development and staying current with industry trends. Proficient in at least two of the following: Excel for BI, Tableau, Power BI Skilled in SQL and ideally Python, demonstrated through real-world projects. Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA). Solid ...

professional development and staying current with industry trends. Proficient in at least two of the following: Excel for BI, Tableau, Power BI Skilled in SQL and ideally Python, demonstrated through real-world projects. Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA). Solid ...

professional development and staying current with industry trends. Proficient in at least two of the following: Excel for BI, Tableau, Power BI Skilled in SQL and ideally Python, demonstrated through real-world projects. Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA). Solid ...

professional development and staying current with industry trends. Proficient in at least two of the following: Excel for BI, Tableau, Power BI Skilled in SQL and ideally Python, demonstrated through real-world projects. Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA). Solid ...

attendance dashboards using Power BI or Tableau. Third-Party Integrations: Managing API links between the MIS and apps like ParentPay, Wates, or Seesaw. SQL/Scripting: Writing queries to extract bespoke data sets directly from the database backend. Project Management: Experience overseeing software delivery projects. Finance Module Experience: Familiarity with ...

Microsoft Azure, including a solid understanding of Azure IaaS and PaaS services (e.g., VMs, Storage, App Services, Front Door, API Management, Azure Functions, Azure SQL, Azure Networking). Strong experience with PowerShell scripting and Infrastructure as Code in either (Bicep and/or Terraform; ARM knowledge acceptable where relevant). ...