876 to 900 of 1,888 Remote SQL Jobs

of experience in a data engineering or similar technical role Hands-on experience with key Microsoft Azure services: Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Azure SQL Database Solid understanding of data modeling, ETL/ELT, and warehousing concepts Proficiency in SQL and one or more programming languages (e.g., Python, Scala) Exposure to Microsoft Fabric, or a More ❯

of modern data modelling practices, analytics tooling, and interactive dashboard development in Power BI and Plotly/Dash. Key responsibilities: Designing and maintaining robust data transformation pipelines (ELT) using SQL, Apache Airflow, or similar tools. Building and optimizing data models that power dashboards and analytical tools Developing clear, insightful, and interactive dashboards and reports using Power BI and Plotly/… data modeling techniques (e.g. dimensional, star/snowflake schemas) and analytics layer design to support business intelligence and self-serve reporting. Proficiency in analytics engineering tools such as airflow, SQL, and version control systems like Git. Hands-on experience developing dashboards and reports using Power BI, Plotly/Dash, or other modern visualisation tools. Strong understanding of data governance, quality … AWS, Azure, or GCP, and working with data warehouse/lakehouse technologies such as Snowflake, BigQuery, Redshift, or Athena/Glue. Essential: Proficient in writing clean, efficient, and maintainable SQL and Python code, particularly for data transformation and analytics use cases. Strong understanding of data modeling concepts, including star/snowflake schemas and designing models optimized for reporting and dashboarding. More ❯

of modern data modelling practices, analytics tooling, and interactive dashboard development in Power BI and Plotly/Dash. Key responsibilities: Designing and maintaining robust data transformation pipelines (ELT) using SQL, Apache Airflow, or similar tools. Building and optimizing data models that power dashboards and analytical tools Developing clear, insightful, and interactive dashboards and reports using Power BI and Plotly/… data modeling techniques (e.g. dimensional, star/snowflake schemas) and analytics layer design to support business intelligence and self-serve reporting. Proficiency in analytics engineering tools such as airflow, SQL, and version control systems like Git. Hands-on experience developing dashboards and reports using Power BI, Plotly/Dash, or other modern visualisation tools. Strong understanding of data governance, quality … AWS, Azure, or GCP, and working with data warehouse/lakehouse technologies such as Snowflake, BigQuery, Redshift, or Athena/Glue. Essential: Proficient in writing clean, efficient, and maintainable SQL and Python code, particularly for data transformation and analytics use cases. Strong understanding of data modeling concepts, including star/snowflake schemas and designing models optimized for reporting and dashboarding. More ❯

of modern data modelling practices, analytics tooling, and interactive dashboard development in Power BI and Plotly/Dash. Key responsibilities: Designing and maintaining robust data transformation pipelines (ELT) using SQL, Apache Airflow, or similar tools. Building and optimizing data models that power dashboards and analytical tools Developing clear, insightful, and interactive dashboards and reports using Power BI and Plotly/… data modeling techniques (e.g. dimensional, star/snowflake schemas) and analytics layer design to support business intelligence and self-serve reporting. Proficiency in analytics engineering tools such as airflow, SQL, and version control systems like Git. Hands-on experience developing dashboards and reports using Power BI, Plotly/Dash, or other modern visualisation tools. Strong understanding of data governance, quality … AWS, Azure, or GCP, and working with data warehouse/lakehouse technologies such as Snowflake, BigQuery, Redshift, or Athena/Glue. Essential: Proficient in writing clean, efficient, and maintainable SQL and Python code, particularly for data transformation and analytics use cases. Strong understanding of data modeling concepts, including star/snowflake schemas and designing models optimized for reporting and dashboarding. More ❯

of modern data modelling practices, analytics tooling, and interactive dashboard development in Power BI and Plotly/Dash. Key responsibilities: Designing and maintaining robust data transformation pipelines (ELT) using SQL, Apache Airflow, or similar tools. Building and optimizing data models that power dashboards and analytical tools Developing clear, insightful, and interactive dashboards and reports using Power BI and Plotly/… data modeling techniques (e.g. dimensional, star/snowflake schemas) and analytics layer design to support business intelligence and self-serve reporting. Proficiency in analytics engineering tools such as airflow, SQL, and version control systems like Git. Hands-on experience developing dashboards and reports using Power BI, Plotly/Dash, or other modern visualisation tools. Strong understanding of data governance, quality … AWS, Azure, or GCP, and working with data warehouse/lakehouse technologies such as Snowflake, BigQuery, Redshift, or Athena/Glue. Essential: Proficient in writing clean, efficient, and maintainable SQL and Python code, particularly for data transformation and analytics use cases. Strong understanding of data modeling concepts, including star/snowflake schemas and designing models optimized for reporting and dashboarding. More ❯

of modern data modelling practices, analytics tooling, and interactive dashboard development in Power BI and Plotly/Dash. Key responsibilities: Designing and maintaining robust data transformation pipelines (ELT) using SQL, Apache Airflow, or similar tools. Building and optimizing data models that power dashboards and analytical tools Developing clear, insightful, and interactive dashboards and reports using Power BI and Plotly/… data modeling techniques (e.g. dimensional, star/snowflake schemas) and analytics layer design to support business intelligence and self-serve reporting. Proficiency in analytics engineering tools such as airflow, SQL, and version control systems like Git. Hands-on experience developing dashboards and reports using Power BI, Plotly/Dash, or other modern visualisation tools. Strong understanding of data governance, quality … AWS, Azure, or GCP, and working with data warehouse/lakehouse technologies such as Snowflake, BigQuery, Redshift, or Athena/Glue. Essential: Proficient in writing clean, efficient, and maintainable SQL and Python code, particularly for data transformation and analytics use cases. Strong understanding of data modeling concepts, including star/snowflake schemas and designing models optimized for reporting and dashboarding. More ❯

experience of working with large data sets in an enterprise environment. Microsoft Data Components: You'll have strong experience in Microsoft data components including: Azure Analysis Services Databricks Azure SQL Data Warehouse (Synapse Analytics) Data Quality and Security: You'll have experience of using tools and techniques for ensuring data quality, security, validation and recovery. Analytical Skills: You possess strong … DAX skills. Experience of working with large data sets in an enterprise environment. Dimensional model design and implementation. Experience in Microsoft data components including: Azure Analysis Services Databricks Azure SQL Data Warehouse (Synapse Analytics) Tools and techniques for ensuring data quality, security, validation and recovery. Strong analytical skills, with the ability to adopt a logical approach to solving problems. Data More ❯

Responsibilities Architect the solutions; collaborate with stakeholders and internal business partners to understand business requirements and translate them into analytical solutions Design and develop data queries and programs through SQL and/or Python to create models to build compelling stories and drive insights around key drivers of health care trends (i.e., medical cost, utilisation, etc.) Accountability for socialising to … data interrogation, analysis and visualization Experience with statistical models, demonstrate understanding of different statistical methods and approaches Proven track record of leading analytic projects Intermediate level of proficiency in SQL, and at least one scripting language such as R, or Python Intermediate level of proficiency with Data visualization/Dashboard tools (e.g., Power BI) Preferred Qualifications Master's Degree (or More ❯

Responsibilities Architect the solutions; collaborate with stakeholders and internal business partners to understand business requirements and translate them into analytical solutions Design and develop data queries and programs through SQL and/or Python to create models to build compelling stories and drive insights around key drivers of health care trends (i.e., medical cost, utilisation, etc.) Accountability for socialising to … data interrogation, analysis and visualization Experience with statistical models, demonstrate understanding of different statistical methods and approaches Proven track record of leading analytic projects Intermediate level of proficiency in SQL, and at least one scripting language such as R, or Python Intermediate level of proficiency with Data visualization/Dashboard tools (e.g., Power BI) Preferred Qualifications Master's Degree (or More ❯

with an NHS client who are seeking a Data Engineer to support an ongoing project. The successful Data Engineer will support the modernisation of the data estate, migrating legacy SQL Server warehouses into Azure. You will play a key role in shaping the new cloud data platform. Responsibilities: Build and optimise ETL/ELT pipelines with Azure Data Factory, Synapse … and SQL Database. Lead the migration of on-premises SQL Server/SSIS workloads into Azure. Design data lakes, marts, and models to support analytics and reporting. Integrate external sources including Google Cloud Platform. Drive data governance with tools like Azure Purview. Collaborate with architects, BI teams, and stakeholders to ensure seamless data access. Apply DevOps (ADO, GitHub) and Agile … practices for delivery. Key skills & experience: Strong experience with SQL Server, T-SQL, and SSIS. Hands-on with Azure SQL, Data Factory, Synapse, and Data Lake. Track record in data warehouse development and cloud migrations. Proficient with Azure DevOps/GitHub. Strong problem-solving and documentation skills. Python for automation (desirable) Knowledge of Microsoft Fabric & Azure Purview (desirable) Exposure to More ❯

FP&A Systems Consultant Permanent Location: UK - Fully Remote Salary: £65,000 - £80,000 (+ bonus) Skills: Unit4 FP&A, Database Administration (SQL Server or Oracle), T-SQL or PL/SQL, ETL Tools (e.g., SSIS), Microsoft Server Operating Systems We're looking to recruit an FP&A Systems Consultant for a specialist IT consultancy to lead my clients FP … the team. Work closely with clients, stakeholders, and internal teams to ensure solutions meet both technical and business requirements. About You You will bring: Strong technical expertise in Microsoft SQL Server or Oracle database administration (T-SQL or PL/SQL), and preferably JavaScript. Experience with ETL tools (e.g., SSIS) and Microsoft server operating systems. Knowledge of Active Directory, IIS More ❯

ML libraries for building and deploying machine learning solutions in cloud environments. Ability to think commercially and link ML model performance to commercial KPIs. Experience using structured query languages (SQL). Keen interest in emerging new ML techniques and their commercial value. Ability to communicate across teams of Data Scientists, Data Engineers, ML Engineers, Operational and Commercial stakeholders The interview More ❯

experience: Strong experience in Rust programming Understanding of safe memory management without garbage collection Experience with asynchronous programming in Rust Familiarity with Rust's testing framework Experience working with SQL/NoSQL databases, ability to write complex queries & optimize them Understanding of containerization technologies (Docker, Kubernetes, RKT, etc.) Good experience with DevOps CI/CD systems (Jenkins, NexusIQ, Nexus3, Aqua More ❯

practices, processes, and communication frameworks. Driving the commercialisation and scaling of data within a sensitive, regulated financial environment. YOUR SKILLS AND EXPERIENCE: Background in data (3+ years) such as SQL, data engineering, or data analysis, with a transition into product management (2+ years). Strong understanding of datasets, reporting, and analytics. Experience in fintech, banking, or other regulated industries Track More ❯

tool-rich workflows. Productionise AI solutions : move beyond PoC into systems serving 100s–1000s of users with robust monitoring and orchestration. Deploy and scale agentic AI across diverse environments (SQL, pandas, RAG, MCP). Evaluate systems rigorously : Pass@N, multi-run testing, retriever validation, and component-level analysis. Educate & consult : Run ideation sessions, maturity assessments, and roadmap planning for enterprise More ❯

trends. What We're Looking For 5+ years of backend engineering experience, including 3+ years with Go. Strong experience with RESTful API design and distributed systems. Solid understanding of SQL/NoSQL databases and performance optimisation. Experience with RBAC, auditing, and secure system design. Familiarity with Agile/Scrum methodologies and Linux-based environments. Excellent communication, problem-solving, and mentoring More ❯

Innovating test strategies that push boundaries Ensuring compliance with industry standards and project goals What You'll Bring: Solid experience in UX/UI testing, API testing (Postman), and SQL Bonus points for C# testing experience (but not essential!) Strong manual testing skills and structured methodologies A sharp analytical mindset and eagle-eyed attention to detail Excellent communication and documentation More ❯

both Front-end and Back-end. - Proficient in JavaScript, HTML and CSS. - Knowledge of Node.js for Back-end is essential. - Desirable to have previously used Python, Ruby, Java and SQL Databases. Reference Number: BBBH(phone number removed) To apply for this role or for to be considered for further roles, please click "Apply Now" or contact Tom McLaughlin at Rise More ❯

both Front-end and Back-end. - Proficient in JavaScript, HTML and CSS. - Knowledge of Node.js for Back-end is essential. - Desirable to have previously used Python, Ruby, Java and SQL Databases. Reference Number: BBBH(phone number removed) To apply for this role or for to be considered for further roles, please click "Apply Now" or contact Tom McLaughlin at Rise More ❯

eager to learn, we'll support you on the job, and front-end skills won't be assessed during the interview process. Our web stack includes Java, GraphQL, Kubernetes, SQL and NoSQL databases, all running on AWS. While experience with every tool isn't required, strong proficiency in an object-oriented programming language is essential. Perks of Working at Viator More ❯

solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership More ❯

professional. Able to challenge appropriately and present solutions. A high attention to detail. Self-starting and able to work on own initiative Good knowledge of a database language, DB2 SQL, MySQL, MongoDb etc. Excellent knowledge of at least one of the following, IBMi (iSeries) system administration, Windows or Linux environments. Excellent knowledge of the Financial Services industry. Experience working within More ❯

client is looking for a Senior Oracle Developer to join their growing team. The successful candidate will need to have approximately 10 years plus of solid Oracle PL/SQL development skills gained within large scale information systems environments with a good understanding of configuration management. Financial Industry Application experience advantageous. Our seasoned client offers its employees a competitive salary More ❯

and deliver solutions aligned with business needs What You Need: 5 + years experience with OpenLink Endur Strong hands-on expertise with OpenJVS, using Java or C# Proficiency in SQL for integration and data analysis Deep understanding of ETRM/CTRM systems and how they support trading desks Experience with commodities and full trade lifecycles is a plus! If you More ❯

and deliver solutions aligned with business needs What You Need: 5 + years experience with OpenLink Endur Strong hands-on expertise with OpenJVS, using Java or C# Proficiency in SQL for integration and data analysis Deep understanding of ETRM/CTRM systems and how they support trading desks Experience with commodities and full trade lifecycles is a plus! If you More ❯