1 to 25 of 2,622 Remote SQL Jobs in the UK

new Agile team with a focus on adding new features around KYC and credit checking, you'll mainly be working on the C# .Net, SQL backend but you'll also have exposure to ... More ❯

Azure, Databricks, Snowflake. Architectural and/or feature knowledge of one or more of the following Programming Languages/Packages: Python, Java, Scala, Spark, SQL, NoSQL databases. Experience working within Agile delivery methodologies. Proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers More ❯

attention to detail and commitment to data accuracy. Evidence of ability to learn advanced use of a range of software tools (such as Alteryx, SQL, Python, R) for data analysis and insight work. Experience using a range of Higher Education systems, eg. student records (SITS), timetabling (Syllabus+), Moodle, CourseLoop. Familiarity More ❯

you know how to run structured experiments that drive measurable impact. Data-driven decision-maker-comfortable using tools like Posthog and Looker, knowledge in SQL is a plus (or willing to learn). Customer-obsessed-skilled in conducting user research to deeply understand motivations, barriers, and opportunities. Strong A/ More ❯

and the ability to solve complex problems and provide insightful solutions. Proficiency in modelling is essential for this role, with expertise in coding using SQL, Python and R is also essential. Familiarity with Machine Learning operations, Snowflake and an AWS centric tech-stack would be an advantage. To excel in More ❯

modelling and machine learning techniques (GLMs, GBMs, neural networks, etc.). Experience in pricing or market modelling, preferably in insurance. Proficiency in Python and SQL for data analysis and model development. Hands-on experience with machine learning frameworks (XGBoost, LightGBM, etc.). Strong understanding of market dynamics, elasticity modeling, and More ❯

proven track record of delivering projects, confidence to take on responsibility, and a team-oriented approach. Tech-Savvy : Proficiency in tools like Excel and SQL, and the ability to pick up new concepts quickly. Communication : For client-facing roles, relationship-building and strong communication skills are essential. Here's what More ❯

similar testing frameworks. REST APIs: Strong understanding of integrating and working with RESTful services. Data Skills: Experience in data wrangling/analysis (e.g., using SQL or Python, Jupyter Notebook). Collaboration: Experience working in an Agile environment (Scrum/Kanban). Problem-Solving: Strong analytical and troubleshooting skills. Desirable Skills More ❯

About the Role Have you got demonstrable proficiency in Python and SQL? Are you experienced in managing the end-to-end Data Science lifecycle, ensuring robust, scalable, and business-aligned AI solutions? If so, we may have the perfect opportunity for you here at EDF as a Senior Data Scientist More ❯

end-to-end. Hands-on experience with statistical techniques (e.g., regressions, matching) and machine learning models (e.g., Naive Bayes, XGBoost). Strong Python and SQL skills, including writing reusable, standardised code and working in analytical environments like Snowflake. Experience conducting exploratory data analysis, including visualisations and identifying product key drivers. More ❯

writing technical documentation Presentational skills, good communication skills, self-motivated and independent individual It would also be nice for you to have: Knowledge of SQL, VBA, R, SAS, C++, Latex, git and any other programming language or statistical software Degree level education, or equivalent, in a quantitative field such as More ❯

to Detail : A meticulous approach to product QA, ensuring features and fixes are thoroughly tested. Tool Familiarity : Comfortable working with tools like Jira, Excel, SQL, and AI tools for productivity. Collaboration : Ability to work closely with cross-functional teams, including developers, customer support, and product managers. Adaptability : Willingness to learn More ❯

BSc/MA in Statistics, Maths, Industrial engineering, or other quantitative field Experience in a quantitative role using R/Python and writing complex SQL code Excellent communication and presentation skills Analytical and problem-solving skills and experience with Tableau/Power BI and Excel skills What we offer: Our More ❯

Quantitative Analyst (PhD SQL Python) London/WFH to £90k Would you like to advance your career as a Quantitative Analyst working with and learning from a highly talented team? You could be joining a specialist Hedge Fund and working on long-term strategic projects involving implementing quantitative statistical models … possess commercial experience in a similar role. You can code in at least one of the following: Python, C++, or C#. You have strong SQL skills. You are comfortable working with large datasets and applying statistical techniques. You have a good understanding of data science methods. You have experience implementing … London office per week) Company retreats such as winter skiing trips and summer getaways Apply now to learn more about this Quantitative Analyst (PhD SQL Python) opportunity. At Client Server, we believe in a diverse workplace that enables people to leverage their strengths and pursue continuous learning. We are an More ❯

London £550 p/d Key Responsibilities: Migrate data, transform and model into ETL pipelines. Key Technical Skills Necessary: Azure AWS Synapse Data Factory SQL DBT You need active SC Clearance to be applicable for this position. Why Apply for This Role? Our client is looking to pay More ❯

learning and applied statistics (e.g.,regression, clustering methodologies, GLMs, decision trees s). Proficiency in R (tidyverse) or Python (numpy, pandas). Experience with SQL Experience with cloud platforms such as AWS, Azure, or Google Cloud. Expertise in data modelling techniques and content management systems. Familiarity with Agile methodologies and More ❯

merchant feedback What You'll Bring Must-Haves 5+ years experience in data engineering and data science roles Strong programming skills in Python and SQL Experience building NLP/ML models, particularly for text classification or sentiment analysis Background in developing data pipelines and ETL processes Proven ability to translate More ❯

in a similar role You will have proven experience in designing and maintaining data models for warehousing and business intelligence You will have advanced SQL skills; experience with dbt and/or Looker is strongly preferred You will be proficient with modern data platforms (e.g., Snowflake, dbt, AWS, GCP, Looker More ❯

things we love: Strong experience of data analysis, modelling and report design, with data and analytics tooling experience & capabilities such as Tableau, PowerBI, Python, SQL Experience of data management principles, documentation, and delivery, including data mapping, metrics governance and cataloguing Proven experience of testing in in a product development environment More ❯

of market risk concepts (VaR, sensitivities, stress testing, risk factors). Experience working with regulatory frameworks (FRTB, Basel III, PRA requirements). Proficiency in SQL, Python, or VBA for risk data analysis (desirable). Excellent stakeholder management skills, with experience engaging across risk, front office, and technology teams. Strong analytical More ❯

data warehousing, data modeling, and data integration principles. Proficiency in at least one scripting/programming language (e.g., Python, Scala, Java). Experience with SQL and NoSQL databases. Familiarity with data quality and data governance best practices. Strong analytical and problem-solving skills. Excellent communication, interpersonal, and presentation skills. Desired More ❯

to be flexible and support the development, deployment, and pipelines of a variety of technologies - such as Java Spring Boot microservices, NodeJS frontend services, SQL/NoSQL databases and a variety of cloud components. Experience using version control software - Git Experience working in an agile team environment Ability to converse More ❯

high-performing engineering teams. Hands-on experience integrating with Salesforce using real-time, batch, and sync/async methods. Expertise in databases, database architecture, SQL, and stored procedures. Strong background in data integration technologies such as Azure Data Factory, Apache Airflow, and Databricks AutoLoader. Proficiency in building CI/CD More ❯

Hands-on experience with a broad suite of Azure data services Deep understanding of Data Management practices: governance, security, quality, and compliance Proficiency in SQL and familiarity with Azure DevOps Pipelines and Apache Spark Excellent stakeholder engagement and communication skills Relevant certifications (e.g., Azure Solutions Architect Expert or TOGAF) a More ❯

is a significant advantage : Awareness of the capabilities of Microsoft Fabric tools and their applications in enhancing data management and analytics processes. Familiarity with SQL, data warehousing concepts, and ETL processes : Solid understanding of relational databases, data warehousing techniques, and ETL tools. Proficiency in writing and optimising SQL queries. Ability More ❯