176 to 200 of 4,413 SQL Jobs in the UK

Skills & Experience: Proven experience delivering end-to-end data science solutions in a commercial environment. Strong technical expertise in predictive modelling, machine learning, and AI. Proficient in R, Python, SQL, and familiar with visualisation tools like Power BI. Excellent problem-solving, communication, and stakeholder management skills. Experience in applying Gen AI tools or techniques is highly desirable. Educated to degree More ❯

Proven experience working with Fenergo or similar AML/KYC management software (minimum of 3 years). Experience in system configuration, customization, and integration of financial applications. Proficiency in SQL and data query languages to extract and manipulate data. Familiarity with reporting and analytics tools used in conjunction with Fenergo (e.g., Microsoft Excel, Power BI, or similar). Familiarity with More ❯

software architecture, design patterns, and secure coding best practices Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) and CI/CD pipelines is a plus Familiarity with SQL/NoSQL databases and version control systems like Git Strong leadership and ownership mindset with a commitment to engineering excellence What's In It for You Competitive salary range from More ❯

Platform. Expertise in DSP frameworks and SAC architecture for data integration. Skilled in ETL processes, data modeling, and data validation. Programming knowledge in at least one language: Python/SQL/Java. Hands-on and "can do" attitude. Excellent leadership, communication, and stakeholder management skills. Strong communication skills in English and effective interpersonal skills. Strong analytical and problem-solving capabilities. More ❯

availability solutions tailored to business needs. Architect and optimize data platforms to enable efficient data collection, storage, and processing. Implement and manage cloud-native services, including compute, storage, databases (SQL & NoSQL), and serverless architectures. Ensure cost-efficient and optimized cloud usage. Networking Focus: Design and implement secure networking solutions using AWS networking services such as VPCs, Transit Gateway, Direct Connect More ❯

both technical and non-technical. An ability to tell stories through data and dashboards to an audience that may or may not be data savvy. A strong background in SQL with proficient understand of the Group Data Warehouse (GDW) and a desire to learn and utilise Google Cloud Platform (GCP) & Big Query. Experience of Data Visualisation tools such as Tableau More ❯

LangChain, LlamaIndex, CrewAI, Semantic Kernel, Autogen and Agno. An understanding of how Large Language Models (LLMs) work. Data Engineering & Modelling: Understanding of ORM/entity relationships, NoSQL, JSON, XML, SQL and exposure to data visualisation tools (ETL/ELT). Data Science Tools: Proficiency in Numpy, Pandas, Matplotlib, Seaborn and Scikit-learn. MLOps: Experience building pipelines (CI/CD) using More ❯

as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure) Understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures Proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java) Demonstrated experience owning complex technical systems end-to-end, from design through production Excellent communication skills with the ability More ❯

as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure) Understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures Proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java) Demonstrated experience owning complex technical systems end-to-end, from design through production Excellent communication skills with the ability More ❯

design and implementation. Strong knowledge of data engineering principles and practices. Expertise in data warehousing, data modelling, and data integration. Experience in MLOps and machine learning pipelines. Proficiency in SQL and data manipulation languages. Experience with big data platforms (including Apache Arrow, Apache Spark, Apache Iceberg, and Clickhouse) and cloud-based infrastructure on AWS. Education & Qualifications Bachelors or Masters degree More ❯

help us improve how the RAD org operates What skills do I need? 5 + years experience working with data to solve problems and drive evidence-based decisions Excellent SQL skills and experience of applying analytical and statistical approaches to problem solving Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision More ❯

Computer Science, or a similar area 5+ years of experience working as a professional software engineer, data in industry Expertise with Python coding and type system Expertise in writing SQL (GQL, PostgreSQL, and BigQuery are a plus) Experience with building both batch and streaming ETL pipelines using data processing engines Deep understanding of building Knowledge Graphs entailing biological ontologies, and More ❯

and version control (Git). Experience designing scalable ML infrastructure on cloud platforms (AWS SageMaker, GCP AI Platform, Azure ML, or equivalent). Solid understanding of data-engineering concepts: SQL/noSQL, data pipelines (Airflow, Prefect, or similar), and batch/streaming frameworks (Spark, Kafka). Leadership & Communication: Proven ability to lead cross-functional teams in ambiguous startup settings. Exceptional More ❯

intuitive, self-serve data models Own data products end-to-end, from design to continuous improvement Promote innovation and best practices in data engineering About You: Strong experience with SQL, Python, and BI tools (e.g., Power BI) Solid understanding of dimensional modelling and data architecture Experience working in governed, decentralised data environments Excellent communication and stakeholder engagement skills Analytical mindset More ❯

CI/CD workflows Ensure GDPR compliance and secure data handling Requirements: 5+ years in data engineering or Strong experience with Azure, Databricks, Microsoft Fabric, and Snowflake Proficiency in SQL, Python, and tools like dbt and Airflow Familiarity with DevOps practices in a data context Benefits: Work on impactful, enterprise-wide data projects Collaborate with architects, analysts, and data scientists More ❯

CI/CD workflows Ensure GDPR compliance and secure data handling Requirements: 5+ years in data engineering or Strong experience with Azure, Databricks, Microsoft Fabric, and Snowflake Proficiency in SQL, Python, and tools like dbt and Airflow Familiarity with DevOps practices in a data context Benefits: Work on impactful, enterprise-wide data projects Collaborate with architects, analysts, and data scientists More ❯

into scalable BI solutions, primarily using Power BI Essential Requirements Product Management experience focused on BI and internal data tools Technical experience with: Cloud platform (AWS, GCP or Azure) SQL (intermediate to advanced) Python (some experience required) Visualisation tools (Tableau, Looker, or Power BI) Interview Process Intro Conversation - with the Co-Founder (30-45 mins) Live Task - screen-sharing session More ❯

C#, JavaScript, Python Azure, Terraform, Kubernetes, Docker CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Front End frameworks (React, Vue, ASP.NET) API design (REST, JSON, XML) Database experience: SQL, NoSQL, vector databases AI integration: OpenAI, Gemini, and other LLMs Strong knowledge of agile, lean, and DevOps best practices.A collaborative, commercial, and solutions-oriented mindset - someone who thrives in a More ❯

C#, JavaScript, Python Azure, Terraform, Kubernetes, Docker CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Front End frameworks (React, Vue, ASP.NET) API design (REST, JSON, XML) Database experience: SQL, NoSQL, vector databases AI integration: OpenAI, Gemini, and other LLMs Strong knowledge of agile, lean, and DevOps best practices.A collaborative, commercial, and solutions-oriented mindset - someone who thrives in a More ❯

C#, JavaScript, Python Azure, Terraform, Kubernetes, Docker CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Front End frameworks (React, Vue, ASP.NET) API design (REST, JSON, XML) Database experience: SQL, NoSQL, vector databases AI integration: OpenAI, Gemini, and other LLMs Strong knowledge of agile, lean, and DevOps best practices.A collaborative, commercial, and solutions-oriented mindset - someone who thrives in a More ❯

and the ability to interpret complex data and investment processes. Experience in data mapping and transformation. Experience with data visualisation tools such as Power BI and Tableau. Proficiency in SQL, AWS and Python. Strong communication skills and the ability to clearly translate technical issues into business context and vice versa. Exposure to ML models and AI frameworks in financial modelling More ❯

and the ability to interpret complex data and investment processes. Experience in data mapping and transformation. Experience with data visualisation tools such as Power BI and Tableau. Proficiency in SQL, AWS and Python. Strong communication skills and the ability to clearly translate technical issues into business context and vice versa. Exposure to ML models and AI frameworks in financial modelling More ❯

architectural decisions and participate in shaping technical direction What You’ll Bring: 3–5+ years of commercial software development experience Proficiency in C#, .NET (Core/Framework), Angular, MS SQL, Docker, and AWS ECS Experience with REST APIs, event-driven design, and messaging tools like RabbitMQ Comfortable in small agile teams and modern DevOps workflows (CI/CD, Git) Strong More ❯

decisions and participate in shaping technical direction What You'll Bring: 3-5+ years of commercial software development experience Proficiency in C#, .NET (Core/Framework), Angular, MS SQL, Docker, and AWS ECS Experience with REST APIs, event-driven design, and messaging tools like RabbitMQ Comfortable in small agile teams and modern DevOps workflows (CI/CD, Git) Strong More ❯

architectural decisions and participate in shaping technical direction What You’ll Bring: 3–5+ years of commercial software development experience Proficiency in C#, .NET (Core/Framework), Angular, MS SQL, Docker, and AWS ECS Experience with REST APIs, event-driven design, and messaging tools like RabbitMQ Comfortable in small agile teams and modern DevOps workflows (CI/CD, Git) Strong More ❯