126 to 150 of 4,854 Permanent SQL Jobs

analytics and machine learning use cases. Support the migration of legacy reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial More ❯

multiple priorities. Experience with insurance or finance data models preferred. Flexible and adaptable to business needs. Technical Expertise: Must have: C#, ASP.NET, MVC, .NET Core, Web APIs, SOA, MS SQL Server (T-SQL, SSIS, SSAS, SSRS), Informatica, Strimm, Tableau/Power BI, SharePoint, Data Modelling, AI tools for development/testing. Desirable: Experience integrating vendor applications and working with enterprise More ❯

functional teams. ________________________________________ Key Responsibilities Lead the design, development, and maintenance of scalable, high-performance data pipelines on Databricks. Architect and implement data ingestion, transformation, and integration workflows using PySpark, SQL, and Delta Lake. Guide the team in migrating legacy ETL processes to modern cloud-based data pipelines. Ensure data accuracy, schema consistency, row counts, and KPIs during migration and transformation. … years of experience in data engineering, with at least 3+ years in a technical lead role. Strong expertise in Databricks , PySpark , and Delta Lake . DBT Advanced proficiency in SQL, ETL/ELT pipelines, and data modelling. Experience with Azure Data Services (ADLS, ADF, Synapse) or other major cloud platforms (AWS/GCP). Strong knowledge of data warehousing , transformation More ❯

Azure, using container orchestration (e.g. Kubernetes), and/or cloud native serverless tools (e.g. AWS Lambda, SQS/SNS, or Azure Functions, Service Bus, Event Grid) Proven experience with SQL databases (e.g. SQL Server, PostgreSQL, SQLite) and/or No SQL databases (e.g. MongoDB, AWS DynamoDB, Azure Cosmos) Proven experience with .NET ORMs (e.g. Entity Framework, Dapper) Advanced understanding of More ❯

AWS Data Engineer to join our data engineering team and help build scalable, secure, and efficient data pipelines. The ideal candidate will have strong experience with AWS services, Python, SQL, GitLab , and API integrations . A basic understanding of Power BI is desirable to assist in developing proof-of-concept dashboards that demonstrate end-to-end data flows. Key Responsibilities … . Develop Python scripts and ETL processes for data processing and automation. Integrate data from various APIs and third-party sources into cloud-based data systems. Write and optimise SQL queries for data extraction, transformation, and validation. Use GitLab for version control, CI/CD, and collaborative development. Collaborate with data analysts and BI developers to enable data visualisation and … and Experience: Strong hands-on experience with AWS data services (e.g., S3, Glue, Lambda, Athena, Redshift, DynamoDB). Proficiency in Python for data processing, API integration, and automation. Strong SQL skills for data extraction and transformation. Experience working with REST APIs and JSON data structures. Practical experience with GitLab (version control, branching, and CI/CD pipelines). Solid understanding More ❯

commercial experience with C#/.NET 6+ and ASP.NET Core . Proven experience designing and integrating RESTful APIs . Hands-on expertise with Microsoft Azure (App Services, Functions, Azure SQL, Key Vault, etc. - AWS experience considered also. Experience with Entity Framework Core , SQL Server , and data-driven applications. Familiarity with CI/CD pipelines and modern DevOps practices (e.g., Azure More ❯

Support compliance and business data projects, collaborating with cross-functional teams. Communicate findings and insights clearly to both technical and non-technical audiences. Technical Skills & Knowledge Strong experience with SQL (SQL Server essential; Snowflake desirable). Proficiency with data visualisation tools such as Tableau or Power BI. Familiarity with the Microsoft Power Platform is advantageous. Good working knowledge of Microsoft More ❯

to identify meaningful trends and insights that drive business decisions. Design, develop, and maintain interactive dashboards and reports using tools like Tableau, Power BI, or similar. Write and optimize SQL queries for data extraction, manipulation, and analysis. Collaborate with cross-functional teams (business, product, operations, and technology) to define data needs and deliver actionable insights. Apply statistical techniques and data … Requirements Bachelors degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related field. Proven experience as a Data Analyst or in a similar role. Strong proficiency in SQL, Excel, and data visualization tools (Tableau, Power BI, or similar). Familiarity with statistical analysis and data modeling techniques. Experience with Python or R for data manipulation and analysis (preferred More ❯

across King. Your Role Within the Kingdom Work closely with stakeholders to understand their data needs and design scalable solutions Build, maintain and optimise data pipelines and models using SQL, Python and Airflow Design and develop BI and reporting products such as Looker models, dashboards and data visualisations Contribute to our data modelling standards and best practices to ensure quality … with other data engineering teams to ensure consistent architecture and tooling Take ownership of your work from design and testing to deployment and documentation Skills To Create Thrills Strong SQL skills, able to write complex and performant queries with ease. Solid experience in Python development for data workflows Experience building and maintaining ETL pipelines, ideally with Apache Airflow or a More ❯

organise and produce work within deadlines. Skills Good project and people management skills. Excellent data development skills. Excellent data manipulation and analysis skills using a variety of tools including SQL, Phyton, AWS services and the MSBI stack. Ability to prioritise and be flexible to change those priorities at short notice. Able to provide appropriate and understandable data to a wide … design (Kimball and lake house, medallion and data vault) is a definite preference as is knowledge of other data tools and programming languages such as Python & Spark and Strong SQL experience. Experience is building Data lake and building CI/CD data pipelines A candidate is expected to understand and can demonstrate experience across the delivery lifecycle and understand both More ❯

RPA developer or technical lead on large-scale projectsDeep understanding of RPAbest practices, development frameworks, and design patternsStrong expertise in APIdevelopment, integration, web services, data exchange methods, and writingcomplex SQL queriesExpertise in UiPathOrchestrator setup, configuration, and administrationProficiency in programminglanguages such as C#, VB.Net, Python, or JavaProficient in full softwarelifecycle development, including source control, iterative development, andrapid prototyping?Knowledge and Experience … on large-scale projects.Required5YearsDeep understanding of RPA best practices, development frameworks, and design patterns.Highly desired Strong expertise in API development, integration, web services, data exchange methods, and writing complex SQL queries.Highly desired Expertise in UiPath Orchestrator setup, configuration, and administration.Required8YearsProficiency in programming languages such as C#, VB.Net, Python, or Java.Required5YearsProficient in full software lifecycle development, including source control, iterative development More ❯

Opportunity to transition into a leadership role, supporting the development of junior team members. Key Skills & Experience: 5+ years of experience in Azure (ADF, Data Lake, Synapse). Strong SQL skills for data integration and reporting. Experience with Power BI for visualization and analytics. Familiarity with Python (preferred but not currently in use, planned for future projects). Knowledge of More ❯

approach to modern data engineering. You should have: Proven experience with Azure Databricks and Apache Spark Working knowledge of Apache Kafka and real-time data streaming Strong proficiency in SQL and Python Familiarity with Azure Data Services and CI/CD pipelines in a DevOps environment Solid understanding of data modelling techniques (e.g., Star Schema) Excellent problem-solving skills and More ❯

ideally in investment banking or financial services. Solid understanding of trade lifecycle , pricing , and risk management . Familiarity with FIX protocol , MQ messaging , and RESTful APIs . Experience with SQL databases and data modelling. Knowledge of DevOps practices , CI/CD pipelines, and version control tools (e.g., Git). Excellent problem-solving and communication skills. Desirable: Experience with vendor platforms More ❯

ideally in investment banking or financial services. Solid understanding of trade lifecycle , pricing , and risk management . Familiarity with FIX protocol , MQ messaging , and RESTful APIs . Experience with SQL databases and data modelling. Knowledge of DevOps practices , CI/CD pipelines, and version control tools (e.g., Git). Excellent problem-solving and communication skills. Desirable: Experience with vendor platforms More ❯

client priorities with delivery teams to ensure successful outcomes. Experience & skills you'll bring: 3+ years’ experience as a Data Analyst or Technical Business Analyst within Financial Services. Strong SQL skills for data querying, manipulation, and analysis. Ability to translate complex data into clear insights for technical and non-technical stakeholders. Experience in requirements gathering, documentation, process mapping, and data More ❯

client priorities with delivery teams to ensure successful outcomes. Experience & skills you'll bring: 3+ years’ experience as a Data Analyst or Technical Business Analyst within Financial Services. Strong SQL skills for data querying, manipulation, and analysis. Ability to translate complex data into clear insights for technical and non-technical stakeholders. Experience in requirements gathering, documentation, process mapping, and data More ❯

in-house data engineering standards. Learning from and supporting the new Data Engineering Lead, Linda. Skills & Experience Experience in data engineering, ETL/ELT development, or data warehousing. Strong SQL skills and experience with Snowflake, Netezza, or similar DW platforms. Understanding of data modelling and pipeline design. Ability to articulate technical concepts clearly. A collaborative approach-this team values people More ❯

hoc data projects and special initiatives as needed. Ensuring compliance with regulatory and governance standards, including consumer duty, financial crime, and prudent management requirements. What you can bring Strong SQL experience, with additional skills in Power BI (essential) and ideally some exposure to R, Python, DAX or similar languages. Experience working in cloud-based data environments , ideally Azure. A background More ❯

hoc data projects and special initiatives as needed. Ensuring compliance with regulatory and governance standards, including consumer duty, financial crime, and prudent management requirements. What you can bring Strong SQL experience, with additional skills in Power BI (essential) and ideally some exposure to R, Python, DAX or similar languages. Experience working in cloud-based data environments , ideally Azure. A background More ❯

generation, and prompt engineering. Mandatory Skills: Cloud Platforms:Deep experience with AWS (S3, Lambda, Glue, Redshift) and/or Azure (Data Lake, Synapse). Programming & Scripting:Proficiency in Python, SQL, PySpark etc. ETL/ELT & Streaming:Expertise in technologies like Apache Airflow, Glue, Kafka, Informatica, EventBridge etc. Industrial Data Integration:Familiarity with OT data schema originating from OSIsoft PI, SCADA More ❯

a global or large-scale environment. Strong understanding of data governance, data quality, and compliance frameworks (e.g., GDPR, CCPA). Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent analytical and problem-solving skills, with a strong business acumen. More ❯

a global or large-scale environment. Strong understanding of data governance, data quality, and compliance frameworks (e.g., GDPR, CCPA). Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent analytical and problem-solving skills, with a strong business acumen. More ❯

partner with business teams to deliver data-driven insights for performance or regulatory reporting. Knowledge of MS Azure Modern Data Warehouse Architecture and Agile methodology is advantageous; experience with SQL queries. Strong numeracy and analytical skills, high attention to detail, and excellent communication and problem-solving abilities. What's in it for you Competitive salary around £45,000 dependent on More ❯

partner with business teams to deliver data-driven insights for performance or regulatory reporting. Knowledge of MS Azure Modern Data Warehouse Architecture and Agile methodology is advantageous; experience with SQL queries. Strong numeracy and analytical skills, high attention to detail, and excellent communication and problem-solving abilities. What's in it for you Competitive salary around £45,000 dependent on More ❯