76 to 100 of 2,905 SQL Jobs in London

ensuring solutions deliver tangible business outcomes. Proven experience of building and deploying scalable predictive/ML solutions that deliver measurable business value. Proficiency in SQL and Python/R is essential. Hands-on experience with Databricks and Power BI is desirable. Familiarity with agile methodologies and tools (e.g., Jira, Azure More ❯

but not essential (if newly qualified). Excellent academics. Highly analytical mindset. Strong skills in data manipulation and analysis using tools such as Excel, SQL, Python. Experience with BI tools like QuickSight, Tableau, Power BI, or Looker for dashboard creation and data visualisation. Demonstrable commercial or entrepreneurial acumen. Driven and More ❯

scalability. Share knowledge across teams and contribute to a culture of data-driven decision-making. Skills and Qualifications; Essential; Technical and Analytical; Proficiency in SQL and experience working with data warehouses (e.g. BigQuery). Demonstrated experience building dashboards and reports in tools such as Looker Studio, Power BI, Tableau, or More ❯

scalability. Share knowledge across teams and contribute to a culture of data-driven decision-making. Skills and Qualifications Essential Technical and Analytical Proficiency in SQL and experience working with data warehouses (e.g. BigQuery). Demonstrated experience building dashboards and reports in tools such as Looker Studio, Power BI, Tableau, or More ❯

scalability. Share knowledge across teams and contribute to a culture of data-driven decision-making. Skills and Qualifications; Essential; Technical and Analytical; Proficiency in SQL and experience working with data warehouses (e.g. BigQuery). Demonstrated experience building dashboards and reports in tools such as Looker Studio, Power BI, Tableau, or More ❯

scalability. Share knowledge across teams and contribute to a culture of data-driven decision-making. Skills and Qualifications; Essential; Technical and Analytical; Proficiency in SQL and experience working with data warehouses (e.g. BigQuery). Demonstrated experience building dashboards and reports in tools such as Looker Studio, Power BI, Tableau, or More ❯

Health Data & Interoperability Standards: FHIR, HL7, DICOM, SNOMED CT, ICD-10. Cloud Platforms & Infrastructure: AWS, Azure, Google Cloud, NHS Cloud. Business Intelligence & Data Tools: SQL, Power BI, Tableau, Python, R, Snowflake. Healthcare Cloud: Data management: and data integration and knowledge of Palantir Foundry toolset. Data Management & Analytics - Experience handling large More ❯

Health Data & Interoperability Standards: FHIR, HL7, DICOM, SNOMED CT, ICD-10. Cloud Platforms & Infrastructure: AWS, Azure, Google Cloud, NHS Cloud. Business Intelligence & Data Tools: SQL, Power BI, Tableau, Python, R, Snowflake. Healthcare Cloud: Data management: and data integration and knowledge of Palantir Foundry toolset. Data Management & Analytics – Experience handling large More ❯

Bonus + benefits 📍The role is hybrid, 2 days per week in the office 🚂 Closest stations are Liverpool Street 🧑‍💻 Power BI, DAX, Data modelling, SQL Responsibilities of the Business Intelligence Analyst include; performing a prominent role in the Data/BI centre of excellence, BI platform architecture, liaising with data … lines, advanced data modelling. Key Skills for the Business Intelligence Analyst • Advanced Power BI (Modelling, Visualisation, Security, Platform Architecture and Administration) • DAX expressions • Advanced SQL skills (SQL, T-SQL, PL/SQL) • Knowledge of Kimball data modelling methodology If you are interested in this Business Intelligence Analyst role, please reply More ❯

Bonus + benefits 📍The role is hybrid, 2 days per week in the office 🚂 Closest stations are Liverpool Street 🧑‍💻 Power BI, DAX, Data modelling, SQL Responsibilities of the Business Intelligence Analyst include; performing a prominent role in the Data/BI centre of excellence, BI platform architecture, liaising with data … lines, advanced data modelling. Key Skills for the Business Intelligence Analyst • Advanced Power BI (Modelling, Visualisation, Security, Platform Architecture and Administration) • DAX expressions • Advanced SQL skills (SQL, T-SQL, PL/SQL) • Knowledge of Kimball data modelling methodology If you are interested in this Business Intelligence Analyst role, please reply More ❯

pipelines for clinical text processing, balancing performance, cost, and accuracy in a healthcare setting Integrating NLP pipelines with structured databases like OMOP and other SQL databases Pioneer the future of clinical AI by developing and implementing novel LLM-based solutions for clinical applications, from automated documentation to decision support Design More ❯

be able to perform statistical analysis. Requirements Python for DS (the usuals pandas plotting etc) Modelling skills for both ML applications and data reporting SQL at least basics but by year 3 should be quite proficient with at least pulling data Data Lake implementation and processing. Knowledge of Snowflake or More ❯

using libraries such as Pandas, NumPy, and SQLAlchemy. Extensive experience with Dash framework for building web applications. In-depth knowledge of Impala or other SQL-on-Hadoop query engines. Understanding of web development concepts (HTML, CSS, JavaScript). Proficiency in data visualization libraries (Plotly, Seaborn). Solid understanding of database More ❯

data analysis, extraction, transformation, and loading, data intelligence, data security and proven experience in their technologies (e.g. Spark, cloud-based ETL services, Python, Kafka, SQL, Airflow) You have experience in assessing the relevant data quality issues based on data sources & uses cases, and can integrate the relevant data quality checks More ❯

such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) - Experience in relational database technology (such as Redshift, Oracle, MySQL or MS SQL) - Experience in developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) - Experience in data engineering - Experience managing a More ❯

similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience with AWS solutions such as EC2 More ❯

and Business Data Stewards to align data solutions with organizational objectives. Below are the key technical skills needed by a Senior Analytics Engineer: Advanced SQL expertise is essential for querying, transforming, and managing data within databases to support business insights. Proven experience in developing and optimising ETL/ELT pipelines More ❯

the digital advertising ecosystem. Expertise in data modeling, ETL pipelines, statistical analysis, and visualization tools (e.g., Tableau, Power BI). Hands-on experience with SQL, Python, R, or similar languages for data analysis. Familiarity with cloud platforms (e.g., AWS, Google Cloud) and big data tools (e.g., Spark, Snowflake). Exceptional More ❯

data modeling Hands-on experience with cloud-native data tech (preferably AWS: Redshift, Glue, S3, Lambda, IAM, Terraform, GitHub, CI/CD) Proficiency in SQL and Python for data processing and automation Experience working with data modeling tools and practices (e.g., dimensional, star/snowflake schema, dbt) Solid understanding of More ❯

/Experience (Essential): Prior experience in supporting Front Office trading booking and Risk systems. Working knowledge of Oracle SQL. (Able to build ad hoc SQL queries) Prior experience with UNIX plus an ability to navigate the system and core administration functions. (Able to navigate the system and write shell scripting More ❯

Overview: We are seeking an experienced Azure SQL Database Administrator (DBA) to join our IT team on a contract basis. The successful candidate will be responsible for designing, implementing, managing, and optimizing Azure SQL database environments. This role requires expertise in cloud-based database administration, high availability solutions, performance tuning … development, infrastructure, and security teams to ensure efficient database operations that align with business objectives. Main Duties and Responsibilities Design, implement, and maintain Azure SQL databases to support business applications. Monitor and optimize database performance, security, and availability. Configure and manage high availability and disaster recovery (HA/DR) solutions … IT teams to improve database efficiency and application performance. Document database configurations, procedures, and best practices. Skills and Experience Proven experience as an Azure SQL Database Administrator . Strong knowledge of Azure SQL Database , SQL Server (2016/2019/2022) , and Azure SQL Managed Instances . Experience with T More ❯

experience is required: Strong data modelling, data warehousing and analytics background Excellent DevOps experience track record with ETL processes, and database design. Proficient in SQL and experience with various database technologies. Strong cloud platforms like AWS or Azure, particularly in data-related services. Background using Java and Python Excellent communication More ❯

experience is required: Strong data modelling, data warehousing and analytics background Excellent DevOps experience track record with ETL processes, and database design. Proficient in SQL and experience with various database technologies. Strong cloud platforms like AWS or Azure, particularly in data-related services. Background using Java and Python Excellent communication More ❯

Intelligence (BI) and Data Engineering skills Good knowledge across tools such as Power BI, Tableau, Qlikview etc Experience creating reporting and dashboarding solutions Great SQL skills and good knowledge across ETL and data warehousing Experience of Cloud (AWS, Azure, GCP etc) would be ideal Any Python scripting and coding skills More ❯

using Azure DevOps, and maintaining Agile style boards, Building, deploying, CI/CD pipelines for web applications using Azure cloud technologies, Working with MS-SQL and other databases performing ETL, Building and hosting applications in Azure using PaaS and other components Integrating applications with API's Authenticating and authorising access More ❯