26 to 50 of 333 Contract SQL Jobs

scientists and analysts to ensure data availability and quality Implement data governance , security , and compliance standards Monitor and troubleshoot data workflows and performance issues Essential Skills & Experience: Proficiency in SQL , Python , or Scala Experience with cloud platforms such as AWS, Azure, or GCP Familiarity with tools like Apache Spark , Kafka , and Airflow Strong understanding of data modelling and architecture Knowledge More ❯

advice and support to managers and staff on reporting tools and analytics. Essential Requirements: 2-3+ years' experience with Power BI, Tableau, Qlik or similar BI tools. Strong SQL skills and experience working in Agile development environments. Excellent communication skills, able to engage with technical and non-technical audiences. Understanding of Business Intelligence principles and best practice in report More ❯

advice and support to managers and staff on reporting tools and analytics. Essential Requirements: 2-3+ years' experience with Power BI, Tableau, Qlik or similar BI tools. Strong SQL skills and experience working in Agile development environments. Excellent communication skills, able to engage with technical and non-technical audiences. Understanding of Business Intelligence principles and best practice in report More ❯

advice and support to managers and staff on reporting tools and analytics. Essential Requirements: 2-3+ years' experience with Power BI, Tableau, Qlik or similar BI tools. Strong SQL skills and experience working in Agile development environments. Excellent communication skills, able to engage with technical and non-technical audiences. Understanding of Business Intelligence principles and best practice in report More ❯

modelling, ELT patterns, and governance frameworks * Good communication skills, able to work with stakeholders at multiple levels * Experience supporting delivery teams and ensuring solutions meet business requirements * Comfortable with SQL and Python when needed for validation or prototyping If you're a Data Solutions Architect interested in shaping how clients embrace Microsoft Fabric, send over your latest CV and we More ❯

and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL and data modeling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps, or relevant data More ❯

and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL and data modeling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps, or relevant data More ❯

and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL and data modeling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps, or relevant data More ❯

and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL and data modeling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps, or relevant data More ❯

custom expressions, data functions (TERR/Python/R) and Spotfire APIs. Working knowledge of Power BI report development and differences between Spotfire and Power BI capabilities. Proficient in SQL, data integration (flat files, APIs, databases), ETL logic interpretation. Understanding of functional and visual parity considerations between BI tools. Strong analytical, debugging, communication skills to interface with stakeholders and migration More ❯

class data culture. What You’ll Bring Proven experience as a Data Engineer in a fast-moving tech or SaaS environment. Strong expertise in dbt Core , Snowflake , Python , and SQL . Experience with ETL/ELT pipelines , workflow orchestration (ideally Prefect ), and AWS (S3, ECS). Familiarity with BI governance, compliance, and CI/CD practices. A problem-solver mindset More ❯

continuous improvement. Champion standardisation of integration patterns and documentation. What You'll Bring Proven experience in data engineering or integration engineering. Strong proficiency with AWS cloud-native services. Solid SQL skills and scripting experience (Python preferred). Expertise in data modelling and mapping complex transformations. Familiarity with ETL/ELT tools and streaming technologies (Kafka, Kinesis). Experience with CI More ❯

and mitigate operational risks. Experience in system integration. Working knowledge of Agile Scrum methodology and ability to manage Agile teams. Knowledge of data mining and analytics application an (SAS, SQL, Python) and visualisation tool such as (Power BI, Tableau, Qlik) Understanding of requirements under Basel II, III, IV as well as well as best practices for Data Governance and management. More ❯

of Conceptual Data Models (leading/managing/maintaining/uplifted/improving Conceptual Data Models) Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven experience with Snowflake Architecture, including DevOps integration and CI/CD practices Advocate for positive personal participation in workshops, and demonstrate critical thinking on More ❯

monitoring Systems. Preferably, Actimize SAM. A good understanding of core Bank products such as Trade Finance, Loans and SWIFT payments. Experience with analytical or database querying software such as SQL and Python. Experience with data visualisation tools such as Tableau and PowerBI The ability to identify wider business impacts or opportunities across key outputs and processes. Ability to work unaided More ❯

monitoring Systems. Preferably, Actimize SAM. A good understanding of core Bank products such as Trade Finance, Loans and SWIFT payments. Experience with analytical or database querying software such as SQL and Python. Experience with data visualisation tools such as Tableau and PowerBI The ability to identify wider business impacts or opportunities across key outputs and processes. Ability to work unaided More ❯

of data with excellent attention to detailKnowledge of a wide variety of Generative AI modelsConceptual understanding of how large language models workProficiency in coding languages for data manipulation (e.g., SQL) and machine learning & AI development (e.g., Python)Experience with dashboarding tools such as Power BI and Tableau (beneficial but not essential)Experience with cloud native tooling for Azure and AWSStrong More ❯

motivated, adaptable and organised xcellent communication skills in all areas Able to build relationships at all levels and possess strong stakeholder management (internal and external) skills Data modelling and SQL Scripting experience The successful candidate will ideally have experience within the following area’s SAP, MS Azure, DataBricks, Alteryx, Analysis for Office, Python/PySpark (Desirable) What you’ll get More ❯

robust data solutions. Required Skills/Experience: At least 2 years' experience working with Snowflake At least 2 years experience working with Azure, AWS, or GCP Data tools MS SQL expertise (querying, transforming, and managing datasets) Python competency Proficient in version control tools (ideally Git) Agile environment experience Desirable Skills/Experience: Experience in the retail industry Experience creating CI More ❯

and resolution. What are we looking for? 8+ years of software development experience with a strong focus on system integration. Proficiency in Java/J2EE, REST/JSON, XML, SQL, Spring, Hibernate, and messaging systems (e.g., JMS). Experience with integration platforms and middleware (e.g., MuleSoft, Apache Camel, Azure Integration Services, and AWS Integration Services). Experience with cloud platforms More ❯

planning and retrospective. Contribute to POC to support new opportunities. What are we looking for? 3+ years software development experience, including: JAVA 5/J2EE, ReactJS, Web Services, XML, SQL, Gradle, Spring, Hibernate, Castor, REST/JSON and Enterprise Messaging System. Using configuration management tools like Git, Tortoise SVN, Source Tree, Perforce, Plastic and ticket management tools like Azure DevOps More ❯

space. Required Skills & Experience Cloud Platforms: Strong expertise in AWS/Azure/SAP ETL/ELT Pipelines: Advanced proficiency Data Modelling: Expert level Data Integration & Ingestion: Skilled Databricks, SQL, Synapse, Data Factory and related Azure services Version Control/DevOps tools: GITHUB, Azure DevOps, Actions Testing & Automation tools: PyTest, SonarQube Desirable Experience Experience leading or running scrum teams Exposure More ❯

operational MI. Key Experience Proven experience in business and data analysis within insurance or broking environments.? Strong understanding of claims lifecycle, data governance, and regulatory frameworks.? Proficiency in Excel, SQL, and data visualization tools (e.g., Power BI).? Experience with data migration projects and legacy system decommissioning.? Excellent stakeholder engagement and communication skills.? Experience in multi-country deployments and regional More ❯

Banking, FinTech, Insurance, or related). Technical Skills: Programming: Expert proficiency in Python (must-have) and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn). Proficiency in SQL is essential. Machine Learning: Deep, hands-on experience with a wide range of ML techniques (supervised/unsupervised learning, time-series analysis, ensemble methods). Advanced AI: Practical experience with More ❯

sources (APIs etc.) Experience of collecting and validating intelligence, assessing the credibility of information and reliability of sources Extensive experience using the Microsoft business intelligence stack e.g. Power Platform, SQL Server, SSAS, SSRS etc. Detailed understanding of underlying database technologies (SQL Server) including SQL syntax and queries Evidence of working as a member of a team to ensure shared goals More ❯