51 to 75 of 2,011 Remote SQL Jobs

and products Proven background of working in an analytical role Experience working with cloud data platforms such as Snowflake, Google (Big Query), AWS (Redshift), Azure or others Fluent in SQL Expert in data manipulation and analysis to provide actionable insights through data storytelling Experience using data analysis languages like Python or R Excellent attention to detail and proven problem-solving More ❯

to sourcing and procurement, offering insights and recommendations to optimize the vendor portfolio and achieve corporate transformation objectives. Build and deliver executive-ready presentations using advanced analytics (Power BI, SQL, Tableau) to support sourcing decisions and business cases. Contribute to enterprise-wide cost optimization programs by identifying and accelerating high-impact sourcing initiatives. Sourcing Strategy Development: Conduct rigorous external spend More ❯

with Software/DevOps teams in the organisation You will have expertise in azure – from collecting, to transforming to loading! Skills and Experience: Essential to have experience with: Azure SQL Regular stakeholder management Data warehouse management Desirable to have experience with: Bachelors in STEM subject – ideally computer science or engineering CI/CD methods Python Power BI Interview Process: There More ❯

analytical skills. Strong teamwork, communication, and stakeholder engagement abilities. Ability to translate business requirements into practical, scalable solutions. Desirable: Experience with Microsoft 365, Azure, and Dynamics 365. Familiarity with SQL and data management. Basic knowledge of JavaScript or C# for custom integrations. What’s on Offer Bonus scheme Hybrid working (3 days office-based) Free on-site parking Interested? Please More ❯

platform. What you’ll bring Proven experience as a Data Engineer in sports betting, gaming, or a similar high-volume data environment. Strong coding skills in Python and advanced SQL expertise. Hands-on experience with AWS data tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting More ❯

platform. What you’ll bring Proven experience as a Data Engineer in sports betting, gaming, or a similar high-volume data environment. Strong coding skills in Python and advanced SQL expertise. Hands-on experience with AWS data tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting More ❯

for real-time data services as well Advancing their CI/CD and DevOps maturity Ensuring platform reliability, speed and security Skills & Experience Required: Strong hands-on experience with SQL, Python, dbt, Snowflake, SSIS, AWS, and Azure DevOps Skilled in ETL, data warehousing, ingestion pipelines, and big data platforms Comfortable collaborating with both technical and non-technical teams Curious, problem More ❯

JavaScript, and TypeScript Experience with React, Vue.js, or Angular (preferred) PHP knowledge (desirable) Familiarity with cloud services (AWS, GCP, or Azure), Docker, Kubernetes Understanding of CI/CD, DevOps, SQL/NoSQL databases, and modern testing practices Strong communication and problem-solving skills Success measures Timely delivery of high-quality features Growing technical ownership and contributions Positive impact on team More ❯

and Dataverse . Strong integration skills with Azure Logic Apps , REST/SOAP APIs , and KingswaySoft . Experience with CI/CD , DevOps , and GIT version control. Proficient in SQL , SSIS , and Azure Data Factory (ADF) . Working knowledge of Agile/SCRUM and OWASP principles. Excellent stakeholder management, communication, and problem-solving skills. Desirable Exposure to Copilot and AI More ❯

Spring Boot, J2EE), with comprehensive knowledge of backend development. Extensive hands-on experience with React.js for front-end development. Proven experience building RESTful services and microservices architectures. Proficient in SQL databases such as MySQL, PostgreSQL, or Oracle. Familiarity with AWS services (EC2, S3, Lambda, RDS, CloudFormation Working knowledge of version control tools like Git. Experience with CI/CD pipelines More ❯

Studio, VA, VI). Familiarity with Platform LSF , Jira , and GIT . Hands-on experience with ETL tools: Pentaho , Talend . Data virtualization experience with Denodo . Proficiency in SQL and data modeling. Knowledge of Oracle (nice to have). Solid understanding of Agile/Scrum frameworks. Experience with DevOps tools (Jenkins, Git, Docker, Kubernetes). Excellent problem-solving and More ❯

Studio, VA, VI). Familiarity with Platform LSF , Jira , and GIT . Hands-on experience with ETL tools: Pentaho , Talend . Data virtualization experience with Denodo . Proficiency in SQL and data modeling. Knowledge of Oracle (nice to have). Solid understanding of Agile/Scrum frameworks. Experience with DevOps tools (Jenkins, Git, Docker, Kubernetes). Excellent problem-solving and More ❯

at least one of: Python, C++, C#, Java, or JavaScript Curiosity and problem-solving mindset — you love figuring things out Comfortable learning new technologies quickly Bonus: experience with Git, SQL, or personal projects you can show off Why You’ll Love It Here Impact: You’ll write code that ships — not sit on sidelines Growth: Weekly mentoring, technical training, and More ❯

reviews, sprint planning, code reviews, and knowledge sharing. Requirements: Strong experience in backend systems and technologies, such as .NET 8 or 9, C# or Golang etc Experience in various SQL dialects, including MySQL, MSSQL, PostgreSQL Familiarity with Redis, ElasticSearch and REST APIs Experience with Windows-based development: services, scheduled tasks, web servers (e.g. IIS) Experience with containers such as Docker More ❯

and optimisation. Familiarity with derivatives pricing, risk metrics, and financial instruments across asset classes. Experience building low-latency systems and optimising performance for computational workloads. Proficient in working with SQL and managing large financial datasets. Knowledge of cloud platforms (Azure, AWS) and DevOps tools (Git, CI/CD) desirable. Excellent problem-solving and analytical skills, with a keen attention to More ❯

Azure/AWS or significant on-premise design experience. 5+ years in data engineering or business intelligence roles. Extensive ETL and data pipeline design experience, technology agnostic. Proficiency in SQL and experience with data engineering coding languages such as Python, R, or Spark. Understanding of data warehouse and data lake principles. Experience with data visualisation tools such as PowerBI or More ❯

machine learning algorithms, model evaluation metrics, optimization techniques, and statistical analysis techniques. Demonstrated ability to implement, validate, and improve supervised and unsupervised learning models. Excellent knowledge of Excel, Python, SQL, and database systems. Familiarity with machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, or related frameworks. Experience in evaluation metrics, model selection, and validation techniques such as cross-validation More ❯

background in data mining, pattern recognition, and anomaly detection to improve service delivery. Proficient in Python, R, or other relevant programming languages used for data science. Strong skills in SQL and experience working with large databases and data warehouses. Ability to create intuitive and informative visualisations using tools such as Power BI, Tableau, or similar platforms. Familiarity with cloud-based More ❯

background in data mining, pattern recognition, and anomaly detection to improve service delivery. Proficient in Python, R, or other relevant programming languages used for data science. Strong skills in SQL and experience working with large databases and data warehouses. Ability to create intuitive and informative visualisations using tools such as Power BI, Tableau, or similar platforms. Familiarity with cloud-based More ❯

to turn data into something powerful. You'll bring: 3+ years' experience in data engineering or cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Solid understanding of data modelling, orchestration, and workflow management. A desire to lead by example and elevate More ❯

as technical and analytical counterparts to define constraints and develop requirements and concept of operations documentation. Knowledge of cloud technologies ( e.g. AWS, Azure) Knowledge of database technologies (e.g. cloud, SQL, Oracle, Mongo DB, PostgreSQL, etc.) Fundamental knowledge of software engineers' best practices, agile methodologies, CI/CD pipelines Knowledge of test-first practices including Test-Driven Development (TDD) for unit More ❯

and implementing row-level security in BusinessObjects. It would also be desirable to have experience developing custom BI products that require knowledge of scripting languages and programming languages like SQL, R, and Python. The BusinessObjects XI Developer/Analyst should be familiar with business intelligence and data analytics. They should have prior knowledge of data integration, data warehousing, modeling, business More ❯

and implementing row-level security in BusinessObjects. It would also be desirable to have experience developing custom BI products that require knowledge of scripting languages and programming languages like SQL, R, and Python. The BusinessObjects XI Developer/Analyst should be familiar with business intelligence and data analytics. They should have prior knowledge of data integration, data warehousing, modeling, business More ❯

Experience in business focused analytical roles (e.g. finance, business analysis, data analytics) Experience leading projects autonomously Proficient Python experience in data manipulation and analysis Intermediate level of proficiency with SQL including experience querying large volumes of transactional data Experience working with visualization software such as Tableau and/or PowerBI Experience in MS Office, including proficiency with MS Excel Preferred More ❯

a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience designing with scalable and highly available distributed systems in the cloud and on More ❯