51 to 75 of 2,433 SQL Jobs in London

below. • Strong proficiency in Python • Extensive experience with cloud platforms (AWS, GCP, or Azure) • Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc) o Software development best practices including CI/CD, TDD and version control. o Containerisation tools like Docker or Kubernetes More ❯

Required Proven experience as a Data Architect on large-scale programmes Strong background in Workday (Finance & HR data) Expertise in data integration, ETL, and data modelling Advanced skills in SQL, Python, or similar Strong knowledge of data governance, quality, and security best practices Experience with cloud architectures (AWS, Azure, or GCP) Track record of designing and implementing data management frameworks More ❯

Microsoft. As well as good understanding of data architecture. To the level that you are able to engage with technical staff and data architectures or experts. Good knowledge of SQL, ETL technologies and data modelling. Knowledge of programming languages useful for data analytics such as Python Good knowledge of the Azure cloud data platform and the potential to use its More ❯

with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding of scalable architecture. Familiarity with CRM/ERP More ❯

with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding of scalable architecture. Familiarity with CRM/ERP More ❯

with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding of scalable architecture. Familiarity with CRM/ERP More ❯

with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding of scalable architecture. Familiarity with CRM/ERP More ❯

London Market PAS platforms (e.g. OpenTWINS, DXC Assure, Sequel, IRIS). Knowledge of BI/MI tooling (e.g. Power BI, Tableau, Qlik). Familiarity with data warehouse technologies (e.g. SQL, Snowflake, Azure, Informatica, etc.). Exposure to Agile delivery and use of tools such as Jira or Azure DevOps. Certification in Project Management (PMP, PRINCE2) or Agile (Scrum Master, PMI More ❯

Data Science, Computer Science, Information Systems, or other equivalent Experienced in data analysis, BI, or a related area Familiarity with BI tools (e.g. Tableau, Power BI, Looker) and basic SQL for data querying Proficiency in Microsoft Excel for data manipulation and reporting Solid ability to analyse and interpret data, with keen attention to detail Basic experience with data modelling Exposure More ❯

years' experience in data modelling. Advanced level in application-based data modelling and ETL. Strong background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, Sagemaker or Unified Studio (one of required). Ability to validate, test, and build More ❯

years' experience in data modelling. Advanced level in application-based data modelling and ETL. Strong background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, Sagemaker or Unified Studio (one of required). Ability to validate, test, and build More ❯

record in similar business stream Experiences within project management Experience using database platforms such as Oracle/MSSQL/MPP Database Knowledge of programming languages such as Java/SQL/VBA/Java Script/Shell Excellent analytical and problem solving abilities Good knowledge of IT industry Good customer service skills Proficient in Microsoft Office particularly in the use More ❯

data models. Proficient in Data Warehousing Design Methodologies (e.g., Kimball dimensional models) and Data Modelling tools (e.g., ER Studio). Strong Data Analysis skills and hands-on experience with SQL/Python for data interrogation. Working knowledge of Cloud-based data and analytics solutions (e.g., Microsoft Azure, Databricks, Informatica, PowerBI) and ETL/ELT technology (e.g., Informatica DEI). Proven More ❯

data models. Proficient in Data Warehousing Design Methodologies (e.g., Kimball dimensional models) and Data Modelling tools (e.g., ER Studio). Strong Data Analysis skills and hands-on experience with SQL/Python for data interrogation. Working knowledge of Cloud-based data and analytics solutions (e.g., Microsoft Azure, Databricks, Informatica, PowerBI) and ETL/ELT technology (e.g., Informatica DEI). Proven More ❯

process and organisational skills with the ability to mobilise change Advanced knowledge of project/product management platforms (JIRA & Confluence strongly preferred) Advanced knowledge of common data-manipulation tools (SQL, Google Sheets) Advanced knowledge of data analytics platforms (Looker preferred) Experienced in both lean and agile methodologies (Scrum, Kanban) IIBA-CCBA certification preferred Basic proficiency in at least one of More ❯

in use of Domain Driven Design, Clean Architecture, SOLID and clean code principles Database Skills : Hands-on experience with Relational Databases (i.e., PostgreSQL/Oracle), including writing and optimizing SQL queries. Testing: Knowledge of Unit Testing, TDD/BDD, Integration Testing Agile Methodologies: Proven ability to work in Agile/Scrum environments, with excellent communication and collaboration skills CI/ More ❯

Advanced proficiency in Python for data science and machine learning applications. Familiarity with cloud-based infrastructure, preferably Azure . Expertise with Data Warehousing/Data Lakes . Proficiency in SQL for data extraction and analysis. Strong experience with data visualization tools such as PowerBI and Tableau . Understanding Java is a plus. Desired Behaviors Independence : Ability to solve complex problems More ❯

and techniques (e.g., spatial queries, coordinate systems, projections). Experience with geospatial analytics tools such as ArcGIS, QGIS, or similar platforms is a plus. Data Modeling & Querying: Experience with SQL and NoSQL databases, including spatial databases (PostGIS, MongoDB, Elasticsearch), for storing and querying geospatial and big data. Preferred Qualifications: Degree or higher in Computer Science, Geospatial Intelligence, Data Science, or More ❯

each iteration. Required Education, Experience/Skills/Training: 5+ years of relevant experience Strong experience validating data pipelines, ETL processes, and data warehouses in production environments. Expert-level SQL skills and hands-on experience working with large datasets (terabytes or more), capable of identifying data anomalies through efficient queries. Proficiency with Snowflake, Hive, Databricks, and other modern data platforms. More ❯

of IPA and wholesale business priorities. Desirable to have business intelligence knowledge in Power BI. Our must-haves: Experience withAzure Cloud Services(e.g. Data Factory, Databricks, Key Vault, Az SQL). Knowledge ofdata warehousingmethodology(e.g., Kimball and Inmon). Database development: Be able to transform and summarise data in T-SQL. Knowledge of database maintenance and administration a plus. Data More ❯

workflows, with proven experience working alongside credit analysts and portfolio managers. Exceptional analytical and problem-solving skills with the ability to interpret complex data and investment processes. Proficiency in: SQL - for data validation and exploration. AWS - particularly data services (e.g., S3, Redshift, Lambda). Python - for prototyping analytical tools and performing data analysis. Strong command of business analysis practices, including More ❯

be maintained. What are we looking for? Essential for the role: TECHNICAL & EXPERIENCE Development experience using C# (.NET Core), ASP.NET, JavaScript, T-SQL. Experience designing, developing and maintaining MS SQL Server relational databases with change tracking/CDC. Experience with Dependency Injection & IoC frameworks. Experience with ORM Frameworks: Entity Framework, Dapper. Experience in building and consuming web services using micro More ❯

Experience: Expertise in cloud platforms (Azure) and data engineering best practices . Advanced proficiency in Power BI , including DAX, Power Query, and data modeling. Strong programming skills in Python, SQL, and/or Scala for data processing and automation. Experience with ETL/ELT, data warehousing, and event-driven architectures . Knowledge of AI/ML applications in data analytics More ❯

decision-making. About You Required Skills & Experience Technical Expertise Proven leadership experience (5+ years) in BI, analytics, or data science, ideally in a high-volume, customer-centric environment. Strong SQL, PowerBI (DAX), and Power Query skills, with a deep understanding of data modelling and semantic modelling best practices. Extensive experience with Azure Synapse, Azure Data Lake/OneLake, and Azure More ❯

outcomes across populations. Experience in translating analytical findings into actionable insights to inform clinical decision-making, health programme development and evaluation is essential. Hands-on experience with Python and SQL within a cloud environment such as Snowflake, Azure and GCP. Excellent written and verbal communication skills, with the ability to present complex technical concepts to non-technical stakeholders. Demonstrated knowledge More ❯