76 to 100 of 1,887 Remote SQL Jobs

5+ years' experience in data engineering, warehousing, or platform leadership. Proven track record of delivering large-scale data warehouse migrations (BigQuery experience strongly preferred). Hands-on expertise with SQL, Python, Airflow, DBT/Dataform, Terraform , and modern data architecture. Strong leadership and stakeholder management skills. Experience driving complex data projects in agile, cross-functional teams. Nice-to-haves: Background More ❯

it relevant to your audience Selfless when it comes to sharing findings, experience and advice. We work as a team not separate individuals! Proficient in R/Python/Sql or other coding stacks Resilience, can work independently to deliver projects Proactively share insights, results and identify risks, without prompting Proficient at communicating results in a concise manner both verbally More ❯

it relevant to your audience Selfless when it comes to sharing findings, experience and advice. We work as a team not separate individuals! Proficient in R/Python/Sql or other coding stacks Resilience, can work independently to deliver projects Proactively share insights, results and identify risks, without prompting Proficient at communicating results in a concise manner both verbally More ❯

data analysis, e.g. sentiment analysis, to craft a coherent customer satisfaction and pain-point analysis Experience conducting adoption funnel analysis, pareto analysis and customer segmentation analysis Strong proficiency in SQL and Python Hands-on experience with BI and analytics tools (Power BI, Pendo) Understanding of key SaaS metrics and customer lifecycle analytics Excellent communication skills with the ability to translate More ❯

of internal and client operations. Work with cloud infrastructure (AWS, GCP). Collaborate with clients, architects, and engineers to meet goals. Proven experience with cloud-based data warehouses. Strong SQL and relational database skills (preferably Postgres); CDC experience is a bonus. Knowledge of data modeling (3NF, star schema, Data Vault). Experience with Python, TypeScript, or Java (Java learning expected More ❯

learn, funnel conversion and program measurement Prior experience delivering complex leads and prospects to multiple business units strongly preferred Proficiency in data analysis tools and programming languages such as SQL and SAS Proficiency in data visualization tools such as Power BI or similar Experience with CRM platforms such as Hubspot, Total Expert or similar Demonstrated experience developing predictive models and More ❯

principles to a solo development environment Experience providing software demonstrations once a quarter to the customer ASP.Net C# LINQ and entity framework Object Relationship Mapping (ORM) Python JavaScript CSS SQL/MySQL Server Visual Studio workstations and some Eclipse ISS Web Servers hosting XML and PDF generation Desired: Jira Git SMTP AWS (EC2, S3, RDS Object Storage) ServiceNow development SharePoint More ❯

Customer Service, Sales, Marketing) and the Power Platform (Power Apps, Power Automate, Power Pages) Proven experience in Power Platform Application Lifecycle Management Proficiency in C# .NET, JavaScript, HTML, and SQL Experience working within agile and DevOps environments Knowledge of Azure services and their integration with Dynamics and Power Platform Experience managing and optimising large-scale Dataverse environments Expert-level familiarity More ❯

tools such as Power BI, Azure Data Explorer, and Azure AI Services. Qualifications Key Competencies Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, SQL, or other programming languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data science and machine learning Experience with one or more generative More ❯

years of experience in enterprise application support, production engineering, or site reliability engineering Strong expertise in troubleshooting and maintaining applications built with Java/JEE, Spring Boot, RESTful APIs, SQL/NoSQL, Python, and Linux Experience with cloud platforms (AWS preferred), including services like EC2, S3, Lambda, CloudWatch, IAM, and container orchestration (EKS/ECS) Experience with Kafka Listener for More ❯

Strong background as a Data Analyst with practical experience in statistical modeling, predictive analytics, and analyzing customer behavior. Technical Skills : Excellent knowledge of data analysis tools and languages (e.g., SQL, Python, R), as well as experience with data visualization tools (e.g., Tableau, Power BI). Business Acumen: Ability to understand complex business challenges and translate them into effective data analysis More ❯

Strong background as a Data Analyst with practical experience in statistical modeling, predictive analytics, and analyzing customer behavior. Technical Skills : Excellent knowledge of data analysis tools and languages (e.g., SQL, Python, R), as well as experience with data visualization tools (e.g., Tableau, Power BI). Business Acumen: Ability to understand complex business challenges and translate them into effective data analysis More ❯

Strong background as a Data Analyst with practical experience in statistical modeling, predictive analytics, and analyzing customer behavior. Technical Skills : Excellent knowledge of data analysis tools and languages (e.g., SQL, Python, R), as well as experience with data visualization tools (e.g., Tableau, Power BI). Business Acumen: Ability to understand complex business challenges and translate them into effective data analysis More ❯

Karate; nice to have code coverage tools such as Sonar and SeaLights Strong expertise with the following desired skills: Java/JEE, Spring/Springboot, RESTful Services, Cloud (AWS), SQL, NoSQL, Python, Test and Deployment technologies, Kubernetes Experience with API design & development in an AWS (Cloud) Migration, Data Design, Batch Processing, Workflow/Process Automation and UI Cloud skills working More ❯

Technical Skills: Degree or equivalent experience in data science, analytics, or a related field. Proven experience of creating and maintaining data pipelines. Experience of Advanced Excel, Azure Databricks, Advanced SQL, working knowledge of PowerBI, and exposure to GIS. GDPR awareness and compliance. Desirable: Understanding and exposure to databases, interfaces, business systems and work force management solutions Knowledge of Microsoft Azure More ❯

Lead Database Developer - Global Software House - Peterborough/Hybrid (Tech stack: Lead Database Developer, SQL Developer, Database Developer, SQL Server 2017, T-SQL, SSIS, SSRS, SSAS, Business Intelligence, OLTP Systems, BI, OLAP, Performance Optimisation, Distributed Transactions, SaaS, Cloud Platforms (AWS/Azure/GCP), Data Warehouse, SQL Developer) Do you want to work for an internationally recognised brand? Do you … seeking a Lead Database Developer to join their dynamic team of high-flying individuals. Lead Database Developer applicants should be experienced in some, if not all, of the following: SQL Server 2017, Business Intelligence (BI), OLTP Systems, OLAP, Data Warehousing and more. Our client can provide you with industry recognised training in: SQL Server 2019, replication, clustering, SQL Server Integration … Services (SSIS), SQL Server Reporting Services (SSRS), SQL Server Analysis Services (SSAS) and data warehouse technologies. This is a truly fabulous opportunity to join a spectacular organization; one that offers a structured career progression programme, excellent training, exquisite offices and amazing benefits. All positions come with the following benefits: Performance-based Bonus 28 days holiday (plus 8 UK Bank Holidays More ❯

complex data. • Extensive data manipulation skills across structured and unstructured sources/repositories such as relational and non-relational databases, CSV's, API's, text, Excel, etc. • Proficiency in SQL and at least one scripting language such as R or Python. • Demonstrated effective project ownership, management, drive & delivery • Stakeholder management experience, dealing with multiple stakeholders, and forming effective partnerships. • Strong More ❯

the technical growth of the team through knowledge sharing, mentoring, and innovation. Technologies & Tools: AWS Cloud Services : EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB Programming & Scripting : Java, Python, Scala, Spark, SQL API integrations, data extraction, and transformation workflows Experience with big data processing, analytics, and scalable architectures Qualifications & Skills: Strong problem-solving and analytical skills. Experience in designing and deploying production More ❯

the technical growth of the team through knowledge sharing, mentoring, and innovation. Technologies & Tools: AWS Cloud Services : EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB Programming & Scripting : Java, Python, Scala, Spark, SQL API integrations, data extraction, and transformation workflows Experience with big data processing, analytics, and scalable architectures Qualifications & Skills: Strong problem-solving and analytical skills. Experience in designing and deploying production More ❯

the technical growth of the team through knowledge sharing, mentoring, and innovation. Technologies & Tools: AWS Cloud Services : EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB Programming & Scripting : Java, Python, Scala, Spark, SQL API integrations, data extraction, and transformation workflows Experience with big data processing, analytics, and scalable architectures Qualifications & Skills: Strong problem-solving and analytical skills. Experience in designing and deploying production More ❯

the technical growth of the team through knowledge sharing, mentoring, and innovation. Technologies & Tools: AWS Cloud Services : EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB Programming & Scripting : Java, Python, Scala, Spark, SQL API integrations, data extraction, and transformation workflows Experience with big data processing, analytics, and scalable architectures Qualifications & Skills: Strong problem-solving and analytical skills. Experience in designing and deploying production More ❯

the technical growth of the team through knowledge sharing, mentoring, and innovation. Technologies & Tools: AWS Cloud Services : EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB Programming & Scripting : Java, Python, Scala, Spark, SQL API integrations, data extraction, and transformation workflows Experience with big data processing, analytics, and scalable architectures Qualifications & Skills: Strong problem-solving and analytical skills. Experience in designing and deploying production More ❯

support from senior staff. Qualifications: Degree in Finance, Economics, Mathematics, Statistics , or a closely related field. Strong interest in data and financial analysis. Confidence working with Excel ; familiarity with SQL, Python , or Power BI is a plus. Basic understanding of financial reporting and performance metrics. Analytical mindset with high attention to detail. Strong verbal and written communication skills. What’s More ❯

Required Qualifications A degree in Computer Science, Engineering, Mathematics, Physics, or a related STEM field. Strong proficiency in Python (including libraries like pandas, numpy, etc.). Solid experience with SQL and working with large datasets. Familiarity with Git, CI/CD workflows, and Docker. Hands-on experience with at least one cloud platform (AWS, GCP, or Azure). Strong understanding More ❯

Required Qualifications A degree in Computer Science, Engineering, Mathematics, Physics, or a related STEM field. Strong proficiency in Python (including libraries like pandas, numpy, etc.). Solid experience with SQL and working with large datasets. Familiarity with Git, CI/CD workflows, and Docker. Hands-on experience with at least one cloud platform (AWS, GCP, or Azure). Strong understanding More ❯