126 to 150 of 4,677 SQL Jobs

have experience in all. Data Platforms: DW & lake concepts incl. dimensional modeling & cloud services (S3, AWS Redshift, RDS, Azure Data Lake Storage, Synapse Analytics, BigQuery, Databricks, Snowflake, Informatica); Databases: SQL & relational/non-relational (SQL Server, Oracle, PostgreSQL, MongoDB); BI Tools: Power BI, Business Objects, Tableau, Crystal, Looker; ETL/ELT: Cloud native (AWS Glue, Azure Data Factory, Google Cloud 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 ❯

s degree in computer science, Information Technology, or a related field. Relevant Work Experience 5+ years of experience in data engineering. Strong experience in Spark and ETL processes. Advanced SQL and Python knowledge and experience working with relational databases for data querying and retrieval. Knowledge and experience of building data lake and enterprise analytics solutions with Microsoft Azure, including Azure … Data Factory, Azure SQL Database, and other Azure services. Additional skills that are a plus but not required Experience with SAP HANA data Experience with Talend Knowledge and experience with other cloud platforms like AWS and Google. Azure certifications (e.g., Microsoft Certified: Azure Data Engineer Associate) are highly desirable. Experience with Power BI/Tableau for reporting and data visualization. More ❯

our Portfolio Management, Compliance, Finance, Data Governance, Operational Risk, and Human Resources teams. You will need to have in-depth technical knowledge of Java or Python together with strong SQL and should feel comfortable working within large internal and external data sets. We want you to see this challenge as a unique and valuable opportunity, so if this sounds interesting … a collaborative mindset. Ability to communicate effectively with technical and non-technical stakeholders. Willingness to learn and adapt in a dynamic environment. Software development processes (Python, Java, React, JavaScript, SQL, Shell, Infrastructure-as-Code, Configuration-as-Code) Issue tracking and versioning (Jira) Package managers (pip, npm) Build tools (Gradle, Maven) Containers (Docker, Kubernetes) Strong verbal communication skills to address both More ❯

Review and contribute to solution design, technical documentation, interface specifications, and data models. • Gather and analyze data. • Assist with data analysis, data modeling, and reporting efforts using tools like SQL, Power BI, and Tableau. • Collaborate with QA/Test teams to design test cases, perform UAT coordination, and validate implemented solutions. • Assist with managing and tracking business requirements through version … Word, Excel, PowerPoint, Visio, MS Project, SharePoint, Teams • Requirements Management: Jira, Azure DevOps, Confluence, or MS Planner • Process Modeling & Documentation: LucidcVisio, Microsoft Word/Excel/PowerPoint • Data Tools: SQL, Power BI, Tableau, Power Automate • Collaboration Tools: Microsoft Teams, SharePoint, Outlook • SDLC Documentation & Technical Specs • Agile and Hybrid Project Environments • Clear and effective communication skills • Problem-solving skills • Ability to More ❯

ideal Senior Databricks Engineer: Significant years of Databricks experience, including Unity Catalog Terraform, defining, deploying, and managing cloud infrastructure as code Proficiency in programming languages such as Python, Spark, SQL Strong experience with SQL databases Expertise in data pipeline and workflow management tools (e.g., Apache Airflow, ADF) Experience with cloud platforms (Azure preferred) and related data services Excellent problem-solving More ❯

ideal Senior Databricks Engineer: Significant years of Databricks experience, including Unity Catalog Terraform, defining, deploying, and managing cloud infrastructure as code Proficiency in programming languages such as Python, Spark, SQL Strong experience with SQL databases Expertise in data pipeline and workflow management tools (e.g., Apache Airflow, ADF) Experience with cloud platforms (Azure preferred) and related data services Excellent problem-solving More ❯

AI/ML integration proficiency (NLP, recommendation systems) Compliance awareness Cloud deployment experience (Azure/AWS) - highly desirable Backend development using other languages such as Python, Java - highly desirable SQL/NoSQL database design & optimisation - desirable DevOps (CI/CD pipelines, Docker, Kubernetes) - desirable TO BE CONSIDERED... Please apply directly by emailing with your CV and availability. KEYWORDS: Contract .NET More ❯

Bachelor's degree in Computer Science, Information Technology, or related field. • Proven experience in developing solutions with Power BI, Power Apps, and Power Automate. • Strong understanding of data modeling, SQL, and data warehousing principles. • Familiarity with Microsoft 365 and Azure services. • Certifications in Microsoft Power Platform or related areas. • Experience with AI Builder and other AI integration within the Power More ❯

cannot be considered) Strong experience with JavaScript/TypeScript and modern frameworks (React, Angular, or Vue) Proficiency in back-end development (Node.js, Java, C#, or Python) Experience with databases (SQL and/or NoSQL) Strong understanding of secure coding practices Proven ability to work in Agile environments and deliver solutions to tight deadlines Familiarity with CI/CD pipelines, Git More ❯

Power BI (report building, data models, DAX). Hands-on experience with SAP Analysis for Office and BW/4HANA (report design, data extraction, data modelling). Proficiency in SQL, and ideally some exposure to Python or ETL tools. Familiarity with enterprise data environments; exposure to Microsoft Fabric is a plus. Business & Analytical Competencies: 5–8 years of experience in More ❯

preferably within secure government programmes. Strong understanding of RBAC and ABAC principles and their application in high-security environments. Active SC/DV Clearence is essential. Technical Skills: Strong SQL skills and ability to work with large, complex datasets from multiple systems. Experience with BI and visualization tools (e.g., Power BI, Tableau, Looker). Familiarity with scripting languages like JavaScript More ❯

preferably within secure government programmes. Strong understanding of RBAC and ABAC principles and their application in high-security environments. Active SC/DV Clearence is essential. Technical Skills: Strong SQL skills and ability to work with large, complex datasets from multiple systems. Experience with BI and visualization tools (e.g., Power BI, Tableau, Looker). Familiarity with scripting languages like JavaScript More ❯

recommending improvements to architecture practices. Technical Skills & Experience Must-have: Extensive experience designing and implementing enterprise-scale data architectures Proficiency in data integration and ETL processes. Advanced skills in SQL, Python, or equivalent programming languages. Strong knowledge of data governance, data security, and compliance frameworks. Expertise in Master & Reference Data Management and Data Quality best practices. Cloud-based architecture experience More ❯

of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with More ❯

of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with More ❯

skills with a keen attention to detail. Basic knowledge of data visualization tools, particularly Power BI. Familiarity with data management platforms, especially Palantir ecosystem, is a plus. Proficiency in SQL and experience with Python, R or TypeScript is desirable. Excellent communication skills, both written and verbal, with the ability to present complex information clearly. Ability to work independently as well More ❯

of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with More ❯

skills with a keen attention to detail. Basic knowledge of data visualization tools, particularly Power BI. Familiarity with data management platforms, especially Palantir ecosystem, is a plus. Proficiency in SQL and experience with Python, R or TypeScript is desirable. Excellent communication skills, both written and verbal, with the ability to present complex information clearly. Ability to work independently as well More ❯

skills with a keen attention to detail. Basic knowledge of data visualization tools, particularly Power BI. Familiarity with data management platforms, especially Palantir ecosystem, is a plus. Proficiency in SQL and experience with Python, R or TypeScript is desirable. Excellent communication skills, both written and verbal, with the ability to present complex information clearly. Ability to work independently as well More ❯

support informed decision-making. Who we’re looking for: Proven experience in data analysis, ideally in operations, retail, or financial services. Expertise in Excel (including formulas, pivot tables, macros), SQL, Power BI, and Python. Strong technical skills in data analysis, modelling, and dashboard creation. Experience with IT applications, platforms, and data warehouses. Excellent analytical, problem-solving, and communication skills. Ability More ❯

control (Git), and DevOps practices. Solid understanding of data governance , privacy , and security best practices.Hands-on experience in data architecture , data engineering , or a similar role.Proficiency in data modelling , SQL , data warehousing , and ETL frameworks . Databricks certifications (e.g., Data Engineer Associate/Professional). Experience working in regulated industries (e.g., financial services, healthcare). Exposure to BI tools (e.g. More ❯

years' experience in data modelling. Advanced level in application-based data modelling and ETL. Strong background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, ideally Sagemaker Unified Studio. Ability to validate, test, and build data engineering solutions. Strong More ❯

years' experience in data modelling. Advanced level in application-based data modelling and ETL. Strong background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, ideally Sagemaker Unified Studio. Ability to validate, test, and build data engineering solutions. Strong More ❯

Apps, Power BI, Dataverse) Solid understanding of REST APIs, JSON, and system integration patterns Experience with Microsoft 365 ecosystem and Azure services Knowledge of data modeling, database concepts, and SQL Understanding of security frameworks and compliance requirements Communication & Collaboration Skills Exceptional verbal and written communication skills with ability to explain complex technical concepts clearly Proven stakeholder management experience working with More ❯