1 to 25 of 112 Remote SQL Jobs in the Thames Valley

the role • Develop and maintain data pipelines using Azure Data Factory (ADF), ensuring efficient and reliable data movement and transformation. • Data Modelling using Kimball, 3NF or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data … required Skills and Experience we are going to be seeking out. For this role we'd be expecting to see: • Solid experience in Azure, specifically Azure Databricks and Azure SQL/SQL Server. • Proficiency in SQL and Python languages. • Hands-on experience in designing and building data pipelines using Azure Data Factory (ADF). • Familiarity with building metadata driven pipelines. 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 ❯

of 2) Extensive Data Engineering and Data Analytics hands-on experience Significant AWS hands-on experience Technical Delivery Manager skills Geospatial Data experience (including QGIS) FME Advanced Database and SQL skills Certifications : AWS or FME certifications are a real plus. Experience with ETL tools such as AWS Glue, Azure Data Factory, Databricks or similar is a bonus. The role comes 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 ❯

Deloitte, PwC, EY, or KPMG). • Excellent data analysis, reporting, and visualization skills. • Strong knowledge of IT infrastructure landscapes (servers, cloud, hardware assets, networks). • Advanced Excel; experience with SQL, Power BI, or similar analytics tools is a plus. • Exceptional attention to detail and problem-solving mindset. More ❯

as a data analyst. Strong IT literacy with emphasis on MS Excel within the MS Office suite. Experience with reporting/analysis/visualisation tools such as Power BI, SQL, Python or similar. Knowledge of Power Automate, Visio, and MS Forms tools. Strong communication skills – both verbal and written. Strong analytical and problem-solving skills. Ability to work under pressure 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 ❯

business models, metrics, and emerging technologies. Ability to work independently, manage multiple priorities, and thrive in a fast-paced environment. Strong analytical skills with proficiency in Excel; familiarity with SQL or BI tools (Tableau, Power BI, Looker) is a plus. Nice-to-Have Internship or academic project experience related to SaaS, business analysis, or data. Knowledge of Python, R, or More ❯

and best practices. ● Strong understanding of software development lifecycles, cloud technologies and modern engineering practices. ● Experience with the following technologies: o Cloud Provider: AWS o Languages: Python, PHP, Rust & SQL o Hosting: Kubernetes o Tooling & Analytics: Airflow, RabbitMQ, Apache Spark, PowerBI ● Proven ability to complete projects according to outlined scope, budget, and timeline ● Experience with industry standard tools such as More ❯

and best practices. ● Strong understanding of software development lifecycles, cloud technologies and modern engineering practices. ● Experience with the following technologies: o Cloud Provider: AWS o Languages: Python, PHP, Rust & SQL o Hosting: Kubernetes o Tooling & Analytics: Airflow, RabbitMQ, Apache Spark, PowerBI ● Proven ability to complete projects according to outlined scope, budget, and timeline ● Experience with industry standard tools such as More ❯

it: Hybrid role – variety of data analysis, product development, and AI innovation Exposure to multiple industries A highly collaborative, intellectually curious team environment 💡 What you bring: ✅ Deep technical skills – SQL, Python, Power BI (and Excel mastery, of course) ✅ Analytical storytelling – spot the patterns, tell the story, influence decisions ✅ Data Warehousing experience - Comfortable managing data warehouses and reporting processes ✅ Financial Services More ❯

.NET Developer, .NET 9, C# - Consultancy - Bracknell (Tech stack: .NET Developer, .NET 9, ASP.NET, C#, React, Angular 19, Microservices, Vue.js, TypeScript, Azure, Web API 2, Agile, Azure SQL, Programmer, Full Stack Engineer, Architect, .NET Developer) Our client is an award winning Microsoft consultancy. They specialise in delivering innovative .NET technology based business solutions to investment banks, financial services companies, prestigious More ❯

skills, with the ability to influence at all levels. Deep understanding of data strategy, data governance, and analytics best practices. Proficiency in BI tools and languages: Power BI, Cognos, SQL, Python. Experience with regulatory reporting and operational reporting processes. Strong analytical and problem-solving skills with attention to detail. Knowledge of business systems, data standards, and reporting frameworks. What you More ❯

skills, with the ability to influence at all levels. Deep understanding of data strategy, data governance, and analytics best practices. Proficiency in BI tools and languages: Power BI, Cognos, SQL, Python. Experience with regulatory reporting and operational reporting processes. Strong analytical and problem-solving skills with attention to detail. Knowledge of business systems, data standards, and reporting frameworks. What you More ❯

user engagement pattern and a Product feature? What could be driving this correlation and how can this help us achieve our business objectives? etc.. ). Qualifications: Intermediate level of SQL, Python, BI Tools (e.g. Looker, PowerBI, Tableau) and Product Analytics Tools (e.g. Adobe Analytics, Amplitude, Mixpanel). Ability to set up behavioural tracking measurement plans (e.g. designing events schemas). More ❯

with pension administration platforms and data models. Familiarity with data governance frameworks and best practices. Knowledge of data transformation tools or ETL processes. Proficiency in using tools such as SQL, Excel, Visio, or data modelling software. Relevant certifications (e.g., BCS Business Analysis, Agile BA, or similar). Our client is offering remote working and a competitive package. Please candidate must More ❯

mapping, and documentation. Stay ahead of Microsofts preview releases, including RSAT and Dual Write. Key Skills & Knowledge Strong X++ development skills (D365 F&O customisation and extension). Solid SQL expertise for reporting and data management. Proficiency in .NET technologies . Experience with Azure DevOps (repos, pipelines, automation) and Azure cloud infrastructure. Lifecycle Services (LCS) and ALM management experience. Familiarity More ❯

product, insights, or digital analytics . Proven ability to lead, mentor, and inspire analysts A strategic thinker who can influence product direction and bring stakeholders on the journey Strong SQL expertise and confident with complex queries Skilled in visualisation tools (Tableau, Looker, Power BI) and presenting data in a way that drives action Hands-on with web analytics tools (Google More ❯

Strong project management skills Strong problem-solving skills Commitment to achieving high standards Ability to write clear and concise technical documents Nice to have Payments industry experience Experience with SQL and/or BI tools such as Looker, Power BI, etc. and a strong understanding of how to manipulate data for requirement gathering and determining the success of business outcomes More ❯

sets of dashboard solutions Experienced in collaborative design with business users Ability to perform data blending, data aggregation and complex calculated fields when required Possess hands on experience with SQL and knowledge of data warehousing and dimensional modelling will be advantageous Experience using large data platforms such as Snowflake, Databricks or similar Exposure to other visualisation platforms is helpful, but More ❯

and practices that add measurable value. SKILLS AND EXPERIENCE Required: 5+ years’ leadership experience in BI, analytics, or data science, ideally in high-volume or customer-centric environments. Strong SQL and Power BI (DAX, modelling) skills, with proven hands-on ability. Proven track record of managing and scaling BI teams. Experience delivering BI strategies and aligning analytics with business KPIs. More ❯