2,101 to 2,125 of 2,732 Remote SQL Jobs

quality production models and data products through testing, analysis, validation and operational support. You’ll work across analysis, testing, validation and operational support, using SQL, Python and internal tooling to investigate issues, improve processes and deliver reliable data products. Our offices are in Trafford Park, Manchester and the role consists … validation of new fields, logic changes and product releases. Investigate data quality issues and support root cause analysis with Engineering and ML teams. Write SQL and Python queries/scripts to interrogate data and automate checks. Support internal stakeholders and clients with product queries, incidents and data requests. Maintain clear ...

data engineering team. They're replatforming their data and reporting estate onto a modern Snowflake, dbt, Fivetran and Azure stack, retiring legacy SQL Server warehouses along the way. The pace is fast, the scope spans multiple international markets, and the work is highly visible to senior leadership. This … operating data integrations across Azure data services (Function Apps, Logic Apps, Service Bus, Data Factory). Supporting the controlled migration and decommissioning of legacy SQL Server warehouses – reconciliation, parallel running and clean cutover. Writing and maintaining tests, embedding them into CI/CD pipelines so broken changes don't reach ...

governance frameworks, including data quality and reporting standards Supporting and enabling business users to develop self-service analytics capability Writing and optimising complex SQL across cloud and on-premise environments Acting as the escalation point for complex BI and data-related issues Collaborating with data engineering teams on architecture … Tableau experience, including dashboard and data source development Proven capability in leading or improving a Tableau environment within a business setting Advanced SQL skills, with experience creating and optimising complex queries and data structures Experience working across both reporting and underlying data layers, not limited to front-end development Strong ...

about how this craft is changing. The way we build is shifting: AI tools now handle a lot of the heavy lifting of writing SQL and boilerplate, which means the job is increasingly less about typing code and more about understanding the business problem, specifying what "good" looks like … assisted development to move faster, spending less time hand-writing boilerplate and more time specifying intent, reviewing, and refining Read, debug, and critically review SQL (including AI-generated code), so we ship models we can trust Document modelling decisions, trade-offs, and outcomes clearly Wrangle and integrate data from multiple ...

would still defend. Senior-level SQL. Complex, clean, and performant, with a clear view of what your queries cost. There is a live SQL exercise in the process. What matters most Technical skill gets you into the process. Business understanding is what distinguishes candidates. You understand how systems interact commercially … education helps, but no particular discipline is required. Interview Process Three stages: a technical and behavioural conversation with the Head of Data including live SQL a session with leads from the teams you would work alongside a conversation on judgement and reasoning What's in it for you: 30 days ...

Senior Data Scientist turns complex and often loosely defined business questions into clear, actionable insight. The role leads high-value analytical work using Python, SQL, statistical methods and appropriate machine-learning techniques to explain what is happening, understand why it is happening and assess what may happen next. The jobholder … kind of person we are looking for Curious, commercially minded and highly analytical. The successful person will be equally comfortable working in Python, SQL and statistical models, sitting with a senior stakeholder to clarify an uncertain question, and stepping back to explain the so what? in plain language. Most importantly ...

improvements that enhance the capabilities for all teams and drive trust in the stability of the system What you'll have Strong aptitude with SQL, Python and AWS data stack essential; Experience building efficient, scalable databases and APIs (e.g. Django, FastAPI) a huge plus; Experience in Kubernetes, Docker, Spark … platform; Desirable: energy domain knowledge Our core data stack Python as our main programming language Databricks Spark for data processing Databricks/dbt/SQL for data modelling and analytics Streamlit for data applications and visualisations Airflow for job scheduling and tracking CircleCI for continuous deployment Parquet and Delta file ...

turn large volumes of customer and marketing data into actionable commercial insight. Working closely with Digital, Marketing, customer and commercial teams, you'll use SQL and BI tools to understand customer behaviour, evaluate marketing activity and identify opportunities to improve targeting, engagement and performance. This isn't just a reporting … business act on? Where are the opportunities to improve engagement, retention and campaign effectiveness? Key Responsibilities Analyse large customer and transactional datasets using SQL to identify trends, behaviours and commercial opportunities. Measure and evaluate campaign, promotional and loyalty activity, translating findings into clear recommendations. Support customer segmentation, targeting and audience ...

with the BI analyst, who takes on their ongoing development and maintenance. Mentorship & standards : Act as a technical mentor to analysts, conducting code reviews (SQL/Python) and establishing best practices for analysis, data visualisation, and reporting. What we would like to see from you 6+ years of experience … Data Analyst with a proven track record of delivering impactful insights. Strong proficiency in SQL and Python, with experience in data manipulation, analysis, and visualisation. Proven experience designing and interpreting experiments (A/B testing) and applying statistical methods to real business questions. Hands-on experience with Google Cloud Platform ...

React, Angular or Vue.js . Strong back-end development experience with Node.js, .NET or Java . Experience designing and consuming RESTful APIs. Strong SQL and relational database experience. Good understanding of software development principles and best practices. Experience working within Agile development teams. Strong problem-solving and communication skills. Desirable … Skills AWS, Azure or GCP experience. Docker and containerisation. CI/CD pipelines. Git and modern version-control practices. PostgreSQL, SQL Server or MongoDB. Microservices architecture. Automated testing and TDD. Experience working with SaaS or B2B products. Exposure to AI/GenAI technologies. What's on Offer ...

Data Engineer | Python, SQL & Data Pipelines Role: Senior Data Engineer Company: Computer Vision Startup Location: London, Hybrid Salary: up to 95,000 + Benefits We’re looking for a talented Data Engineer to join a fast-growing, award-winning technology company transforming the an industry through advanced data platforms … using Python and orchestration tools such as Dagster. Create and optimise efficient data models to support both transactional and analytical workloads. Develop high-performance SQL queries, procedures, and integrations for APIs and data services. Debug, enhance, and maintain existing systems and codebases. Build and execute unit and integration tests ...

role is the hands-on use of data and technology. You will be expected to: Build and maintain Power BI dashboards Use SQL to interrogate and analyse large datasets Develop financial models, forecasts and performance reporting Analyse campaign and marketing ROI Identify opportunities to improve reporting through AI and automation … fully qualified ACA, ACCA or CIMA accountant with strong post-qualified commercial finance/FP&A experience. You must have: Hands-on SQL experience Strong Power BI/dashboard development experience Advanced Excel and financial modelling skills Experience working with large and complex datasets Commercially focused analysis and forecasting experience ...

role is the hands-on use of data and technology. You will be expected to: Build and maintain Power BI dashboards Use SQL to interrogate and analyse large datasets Develop financial models, forecasts and performance reporting Analyse campaign and marketing ROI Identify opportunities to improve reporting through AI and automation … fully qualified ACA, ACCA or CIMA accountant with strong post-qualified commercial finance/FP&A experience. You must have: Hands-on SQL experience Strong Power BI/dashboard development experience Advanced Excel and financial modelling skills Experience working with large and complex datasets Commercially focused analysis and forecasting experience ...

analytics capabilities. Hands-On Data & Analytics Delivery Design, develop and maintain Power BI dashboards, data models and reporting solutions. Write and optimise complex SQL queries, stored procedures and database objects. Oversee and contribute to the development of data warehouses and analytical data models. Build and maintain ETL processes, integrations … senior data leadership role such as Head of Data, Data Manager, Lead Data Architect, BI Manager or similar. Strong hands-on experience with SQL Server development and administration. Advanced Power BI development and data modelling skills. Experience designing and implementing data warehouse and reporting solutions. Strong understanding of ETL development ...

infrastructure Manage data models, schemas, and storage supporting current and future AI deployments Troubleshoot integration failures, data inconsistencies, and production issues Key Skills Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes … Automate). Experience 35 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure. Strong Python and SQL skills; experienced building robust, production-grade data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with ...

infrastructure Manage data models, schemas, and storage supporting current and future AI deployments Troubleshoot integration failures, data inconsistencies, and production issues Key Skills Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes … Automate). Experience 35 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure. Strong Python and SQL skills; experienced building robust, production-grade data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with ...

agent infrastructure Manage data models, schemas, and storage supporting current and future AI deployments Troubleshoot integration failures, data inconsistencies, and production issues Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft … experience Experience 3–5 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure. Strong Python and SQL skills; experienced building robust, production-grade data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with ...

build and optimise scalable data pipelines while helping evolve the overall architecture. Key responsibilities include: Designing and building scalable data pipelines using Python and SQL Developing solutions with Snowflake, dbt and modern orchestration tools such as Dagster or Airflow Building and improving cloud-native data infrastructure on AWS (or transferable … looking for experienced engineers who have built modern data platforms in fast-moving technology businesses. You'll ideally have: Strong Python and SQL experience Experience with Snowflake Experience using dbt Experience with Dagster, Airflow or another modern orchestration framework AWS experience (GCP also considered) Strong understanding of data modelling principles ...

actionable insights and support strategic decision-making Applying advanced statistical techniques including hypothesis testing, regression analysis, and time-series modelling Developing and optimising advanced SQL queries to analyse large and complex datasets Using Python for data wrangling, analysis, modelling, and automation Identifying trends, risks, and opportunities through the analysis … years' experience working as a Data Scientist or in a similar analytics-focused role Strong expertise in advanced analytics and statistical techniques Advanced SQL development skills Advanced Python skills, including data wrangling and analysis Experience analysing and interpreting complex datasets Excellent problem-solving and critical thinking skills Strong stakeholder management ...

first applications on Azure, using Infrastructure as Code and CI/CD Deploy containerised applications using Docker and Kubernetes/AKS Work with Azure SQL, Entity Framework and NoSQL databases Integrate applications using cloud messaging platforms such as Azure Service Bus or Kafka Apply clean architecture, design patterns and secure … strong understanding of Agile/DevSecOps ways of working The technical stack C# | .NET/ASP.NET Core | TypeScript | React | Azure | AKS | Docker | Kubernetes | Azure SQL | Entity Framework | REST APIs | Microservices | Azure Service Bus | Git | CI/CD Experience with AWS/GCP, Blazor, Angular, MongoDB/Cosmos DB, Kafka ...

possible. This role sits at the intersection of analytics engineering and Python-based data engineering. You'll work on transforming and modelling data using SQL and dbt, while also leveraging Python to build data workflows, automate processes, and build tools to optimise day to day work. No two days look … technical fundamentals, excellent communication skills, and a genuine interest in building high-quality data products. More specifically, we're looking for: Experience working with SQL/Snowflake or other modern data platformsStrong, modern Python development experience. Some experience building and maintaining data pipelines, ETL processes, or data-intensive backend servicesA ...

possible. This role sits at the intersection of analytics engineering and Python-based data engineering. You'll work on transforming and modelling data using SQL and dbt, while also leveraging Python to build data workflows, automate processes, and build tools to optimise day to day work. No two days look … technical fundamentals, excellent communication skills, and a genuine interest in building high-quality data products. More specifically, we're looking for: Experience working with SQL/Snowflake or other modern data platformsStrong, modern Python development experience. Some experience building and maintaining data pipelines, ETL processes, or data-intensive backend servicesA ...

possible. This role sits at the intersection of analytics engineering and Python-based data engineering. You'll work on transforming and modelling data using SQL and dbt, while also leveraging Python to build data workflows, automate processes, and build tools to optimise day to day work. No two days look … technical fundamentals, excellent communication skills, and a genuine interest in building high-quality data products. More specifically, we're looking for: Experience working with SQL/Snowflake or other modern data platformsStrong, modern Python development experience. Some experience building and maintaining data pipelines, ETL processes, or data-intensive backend servicesA ...

possible. This role sits at the intersection of analytics engineering and Python-based data engineering. You'll work on transforming and modelling data using SQL and dbt, while also leveraging Python to build data workflows, automate processes, and build tools to optimise day to day work. No two days look … technical fundamentals, excellent communication skills, and a genuine interest in building high-quality data products. More specifically, we're looking for: Experience working with SQL/Snowflake or other modern data platforms Strong, modern Python development experience. Some experience building and maintaining data pipelines, ETL processes, or data-intensive backend ...

design teams to deliver high-quality features from concept to release. Deliver Reliable Backend Services Develop and integrate APIs and backend services. Work with SQL databases and cloud services to support scalable application architecture. Contribute to system design discussions and technical decision-making. Own Quality Throughout Development Write automated tests … years of professional software development experience. Strong experience with Next.js, React and TypeScript. Experience building and consuming REST APIs. Experience working with relational databases (SQL Server preferred). Familiarity with modern source control and CI/CD practices. Strong problem-solving skills and attention to detail. Excellent communication and collaboration ...