76 to 100 of 1,610 Remote SQL Jobs

Profile Degree in relevant subject (Data Science, Statistics, Economics or similar degree) (Essential) 3+ years' experience in the Financial Services Industry (Essential) Proficiency in Excel (Essential) Proficiency in Python, SQL or other programming languages (Essential) Ability to communicate technical insights to non-technical audiences effectively (Essential) Detail-oriented and process-driven with a focus on continuous improvement (Essential) Comfortable working More ❯

Work within Agile and DevOps environments to deliver robust solutions Partner with technical and non-technical stakeholders to design effective systems About You Extensive experience with C#, .NET, and SQL Strong expertise in Azure and cloud adoption frameworks Proven track record in API developmentand modern system architectures At least 3 years experience in a leadership role Strong problem-solving skills More ❯

Work within Agile and DevOps environments to deliver robust solutions Partner with technical and non-technical stakeholders to design effective systems About You Extensive experience with C#, .NET, and SQL Strong expertise in Azure and cloud adoption frameworks Proven track record in API developmentand modern system architectures At least 3 years experience in a leadership role Strong problem-solving skills More ❯

Work within Agile and DevOps environments to deliver robust solutions Partner with technical and non-technical stakeholders to design effective systems About You Extensive experience with C#, .NET, and SQL Strong expertise in Azure and cloud adoption frameworks Proven track record in API developmentand modern system architectures At least 3 years experience in a leadership role Strong problem-solving skills More ❯

do the job: A minimum of 4 years’ experience in a Head of Data role or relevant background/experience. Strong experience in transactional data sets, predominately in Microsoft SQL, Power BI etc., delivery, strategy and expanding insights Strong experience executing comprehensive data strategy aligned with business objectives Strong collaboration skills, ability to work closely and tightly with stakeholders, data More ❯

Your experience and Skills Strong performance with a numerical degree ideally mathematics or economics. Is eager to learn and grown into the field of data A basic proficiency in SQL for data extraction and querying would be useful. Experience with data visualisation tools such as Tableau, Power BI, or Metabase would be beneficial. Articulate and confident communicator, skilled at conveying More ❯

Some or more of the following skills: Dynamics 365 administration and deployment Other OS/environment support esp. AWS, Linux, other common web stacks Database maestro with some MS SQL/MySQL/Maria, Cassandra, Cosmos or Mongo Platform specific certifications, e.g. multiple MCPs or an MCSE Good net basics IP4/6, DNS, DHCP, HTTP/S firewalling & load More ❯

analysis, forecasting, or commercial strategy-ideally in media, entertainment, or consultancy Strong background in econometric modelling and predictive analytics Proficiency in analytical tools such as Excel, R, Python, or SQL and business intelligence platforms (e.g., Tableau, Power BI) Experience in bringing together multi-disciplined data teams to combine data informed narratives Excellent quantitative, problem-solving, and critical thinking skills Experience More ❯

trends, and correlations. Essential skills: Enthusiastic about data, problem-solving, and uncovering insights. Comfortable with numbers and analytical thinking. Eager to learn tools such as Excel, Power BI, and SQL (previous exposure a plus, but not essential). Organised, reliable, and accurate in handling routine tasks. Strong communication skills and a collaborative mindset. Curious, proactive, and keen to develop professionally More ❯

years of experience in data engineering (healthcare/medical devices preferred but not required) Strong Python programming and data engineering skills (Pandas, PySpark, Dask) Proficiency with databases (SQL/NoSQL), ETL processes, and modern data frameworks (Apache Spark, Airflow, Kafka) Solid experience with cloud platforms (AWS, GCP, or Azure) and CI/CD for data pipelines Understanding of data privacy More ❯

deliver functional and technical requirements Develop and integrate RESTful APIs and web services Create and maintain user interfaces using modern JavaScript frameworks (e.g., Angular, React, or Vue) Write efficient SQL queries, stored procedures, and manage database interactions (e.g., Oracle, MySQL, or PostgreSQL) Ensure application performance, scalability, and security through best coding practices Participate in Agile ceremonies, including sprint planning, backlog More ❯

experience in a senior data engineering role, ideally with team leadership responsibilities. Extensive knowledge of the Azure analytics ecosystem and core Azure data technologies. Strong programming skills in C#, SQL, PowerShell, and Python. Experience in AI/ML implementation within Azure environments. Confidence in both strategic planning and hands-on delivery. Strong stakeholder engagement skills and experience in Agile environments. More ❯

Experience The ideal candidate will be able to demonstrate: Experience with multiple types of data – panel data, census data Experience and proficiency in the following: Database management proficiency/SQL Python (specifically for data analysis) Data visualisation (Power BI) Microsoft Office suite (Excel/PowerPoint) Familiarity with cloud data platforms (Data Bricks, Snowflake) Excellent communication skills, both verbal and written More ❯

Experience The ideal candidate will be able to demonstrate: Experience with multiple types of data – panel data, census data Experience and proficiency in the following: Database management proficiency/SQL Python (specifically for data analysis) Data visualisation (Power BI) Microsoft Office suite (Excel/PowerPoint) Familiarity with cloud data platforms (Data Bricks, Snowflake) Excellent communication skills, both verbal and written More ❯

Experience The ideal candidate will be able to demonstrate: Experience with multiple types of data – panel data, census data Experience and proficiency in the following: Database management proficiency/SQL Python (specifically for data analysis) Data visualisation (Power BI) Microsoft Office suite (Excel/PowerPoint) Familiarity with cloud data platforms (Data Bricks, Snowflake) Excellent communication skills, both verbal and written More ❯

Experience The ideal candidate will be able to demonstrate: Experience with multiple types of data – panel data, census data Experience and proficiency in the following: Database management proficiency/SQL Python (specifically for data analysis) Data visualisation (Power BI) Microsoft Office suite (Excel/PowerPoint) Familiarity with cloud data platforms (Data Bricks, Snowflake) Excellent communication skills, both verbal and written More ❯

Experience The ideal candidate will be able to demonstrate: Experience with multiple types of data – panel data, census data Experience and proficiency in the following: Database management proficiency/SQL Python (specifically for data analysis) Data visualisation (Power BI) Microsoft Office suite (Excel/PowerPoint) Familiarity with cloud data platforms (Data Bricks, Snowflake) Excellent communication skills, both verbal and written More ❯

experience testing APIs, microservices, and complex distributed systems, including performance and security aspects. Extensive experience with Agile/Scrum environments and modern software development processes. Strong understanding of XML, SQL Scripting, Oracle, database technologies, and application ecosystems (REST API's, SDK's, JSON, etc). Exceptional written and verbal communication skills; ability to present complex ideas clearly to both technical More ❯

environment Experience in design, development, delivery, and support of technology platforms deployed to cloud environments Experience in modeling business objects for exposure via API End to end capabilities including SQL, security (OAuth), data transformation, and REST development Preferred skills: Spring Boot, AWS, gradle , OpenAPI, bash, snowflake, docker, git, nexus Demonstrate the ability to mentor and coach others. Demonstrate the ability More ❯

e.g., Snowflake, Airflow, DBT, Fivetran, Airbyte, Tableau, Sisense, AWS, GitHub, Terraform, Docker) at enterprise scale for data engineering workloads. Develop deployable, reusable ETL/ELT solutions using Python, advanced SQL, and Jinja for data pipelines and stored procedures. Demonstrate applied understanding of SDLC best practices and contribute to the maturity of SDLC, DataOps, and DevOps processes. Participate actively in Agile More ❯

guidance, mentoring, and knowledge transfer. Essential Skills & Experience Power BI Expertise Strong experience with Power BI, including Power Query , DAX , data modelling, and dashboard design. Technical Skills Proficiency in SQL and VBA , with exposure to Python or R desirable. Marketing Knowledge Solid understanding of digital marketing concepts, tools, and performance drivers. Communication Confident communicator with the ability to explain technical More ❯

GED plus nine (9) years of relevant experience Experience with a major Student Information System (e.g., PeopleSoft, Banner, Workday, Colleague, Jenzabar, etc.) in a higher education environment. Proficiency in SQL and scripting languages such as PowerShell. Familiarity with report writing tools and batch processing used in academic administrative systems. Experience with system integrations and data exchange formats (e.g., flat files More ❯

teams to ensure reporting is aligned with business objectives. What were looking for Strong experience with Power BI (end-to-end report development, DAX, Power Query). Proficiency in SQL with the ability to query, transform, and optimise large datasets. Experience working in environments where data is drawn from multiple complex sources (e.g. data warehouses, data lakes, or cloud platforms More ❯

been ad-hoc. About You 2+ years’ pricing, revenue management, or analytical experience — ideally in a distribution or multi-channel environment. Strong analytical skills with tools such as Excel, SQL, Python/R, or Power BI. Commercially aware: able to link data and modelling to tangible business outcomes. Comfortable collaborating across Procurement, Commercial, Finance, and IT teams. Detail-oriented and More ❯

Knowledge of Data-centric systems for the analysis and visualization of data, such as Tableau, MicroStrategy, ArcGIS, Kibana, Oracle 5 Years Experience querying structured and unstructured data sources including SQL and NoSQL databases - 5 Years Experience modeling and ingesting data into and between various data systems through the use of Data Pipelines 5 Years Experience with API/Web Services More ❯