326 to 350 of 4,030 SQL Jobs in London

programming languages like Python. Proven experience designing and implementing enterprise data warehouse solutions. Proven expertise in building and optimizing ETL pipelines using tools like SQL, Python and dbt. Experience with AI development tools and platforms (e.g., GPT APIs, Copilot) and AI agent frameworks. Architect, designing and implementing robust and scalable ...

analytics solutions that drive strategic decision-making across the business. This is a hands-on, high-impact role requiring expertise in BI platforms, SQL - combined with the leadership ability to influence stakeholders, and drive data governance standards. Key ResponsibilitiesData Analysis & InsightsLead complex, cross-functional data analyses to uncover strategic insights ...

collaborative team player who takes initiative and responds well to feedback Any practical or academic experience with data analysis, coding (e.g. Python, R, or SQL), or AI tools Awareness of data protection principles (e.g. GDPR) Interest in the People/HR domain and how data can improve the employee experience ...

architectures. Strong understanding of cloud‐native architectures and hands‐on experience with AWS services. Experience working with relational databases and data access patterns, including SQL performance tuning and optimization. Solid understanding of software design principles, distributed systems, event‐driven architectures, scalability, reliability, and security. Experience implementing automated testing strategies ...

Airflow, Dagster).Hands-on expertise with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lake architectures (e.g., Databricks, Delta Lake, Apache Iceberg).Advanced SQL skills and proficiency in Python. Strong background in modern software development practices (testing, code review, CI/CD, Infrastructure as Code).DesirableExtensive, progressive experience leading ...

semantic layer rather than in individual reports. Hands-on background in the data domain, including pipelines built or managed first-hand and enough SQL to interrogate the warehouse without waiting on an analyst. Fluency in dimensional modelling and semantic layers, from defining a metric once and holding the organisation ...

proficiency in programming languages like PythonProven experience designing and implementing enterprise data warehouse solutionsProven expertise in building and optimizing ETL pipelines using tools like SQL, Python and dbt. Experience with AI development tools and platforms (e.g., GPT APIs, Copilot) and AI agent frameworks. Architect, designing and implementing robust and scalable ...

Experience with Coupa or equivalent Procurement systems. Experience with financial planning and modelling tools such as: Oracle Essbase or Hyperion or similar. Experience with SQL, Power BI or other data analytics platforms. Why Join? Those who join us become part of a recognized global leader still willing to challenge ...

Advanced Excel proficiency is essential (ability to build robust, scalable, and error-free models using macros, pivot tables, and complex lookups). Experience with SQL, Python, or BI tools (e.g., PowerBI, Tableau) is a major plus. xehkeey Familiarity with loan accounting, credit risk modelling techniques, and liquidity metrics. Strong organisational ...

architectures. Strong understanding of cloud-native architectures and hands-on experience with AWS services. Experience working with relational databases and data access patterns, including SQL performance tuning and optimization. Solid understanding of software design principles, distributed systems, event-driven architectures, scalability, reliability, and security. Experience implementing automated testing strategies ...

with Microsoft Dynamics 365 Finance and Operations. Experience in retail, ecommerce or fashion, particularly across commercial, buying, merchandising or supply chain. Data skills including SQL, data modelling and platforms such as Databricks or Microsoft Fabric. Experience with responsible AI and governance, emerging agent standards such as Model Context Protocol ...

across the full analytics and modelling lifecycle - problem formulation, exploratory data analysis, model design, build, testing and handoverExperience working with common tools like python, SQL, Excel and data visualisation solutions for modelling and analysis. Experience of leading and delivering solutions that involved one or more of the following specialisms: advanced ...

We are seeking a detail-oriented and analytical Data Analyst to join our team. In this role, you will be responsible for collecting, analyzing, and interpreting large datasets to provide actionable insights that support business ...

from multiple systems into clear, reliable models that people across the business trust and consume via enterprise reports and self‐serve analytics. Working with SQL, Kimball data modelling concepts, Microsoft Fabric and Power BI, you’ll help create the foundations that supports reporting today and future Artificial Intelligence (AI) capabilities … Creating fact and dimension models that make complex business data easy to understand and use. Developing views, stored procedures and transformation logic using Transact‐SQL (T‐SQL). Building and optimising Power BI semantic models that support reporting and self‐serve analytics. Turning business requirements into scalable data solutions that ...

Data Engineer, On prem, SQL, SSIS, SSRS, SSAS, Regulated environment. One day a month in Marlow, Buckinghamshire or Canary Wharf, London. Salary £ 55000 - 60000 + excellent benefits Please be aware the majority of the work is on-Prem so strong on-prem skills are critical with some cloud knowledge. … prior to release. Experience Required - Previous experience in data engineering and business intelligence. Experience working in a regulated environment (ideally financial services) Expertise in SQL, SSIS, SSAS, SSRS, etc Expertise with data pipelines and integrations ( ETL/ELT) A good understanding of data warehousing, dimensional modelling, data normalisation, etc Knowledge ...

unstructured content from web-based sites and varying content (documents, images etc) into different data lakes and with different software solutions (Snowflake, Azure, SQL, Python). Provide the handling of (and where needed training of) Large Language Models (LLMs) in the Extract, Transform, and Load (ETL) of large corpus … understanding of business process and measures. Knowledge of Snowflake cloud data warehouse and Azure cloud is preferred. Knowledge of REST API. Good knowledge of SQL Server databases and Python programming language is required. Knowledge of C# is a bonus as is working with Azure data fabric. Excellent analytical, written ...

unstructured content from web-based sites and varying content (documents, images etc) into different data lakes and with different software solutions (Snowflake, Azure, SQL, Python); Provide the handling of (and where needed training of) Large Language Models (LLMs) in the Extract, Transform, and Load (ETL) of large corpus of data … understanding of business process and measures; Knowledge of Snowflake cloud data warehouse and Azure cloud is preferred; Knowledge of REST API; Good knowledge of SQL Server databases and Python programming language is required; Knowledge of C# is a bonus as is working with Azure data fabric; and Excellent analytical, written ...

analytics libraries such as pandas, numpy, and matplotlib Exposure to DevOps, DataOps, and MLOps concepts and best practices Experience with Python, PySpark, SQL, Airflow, Databricks, Kedro, Dask/RAPIDS, Docker, Kubernetes, and cloud services such as AWS, GCP, and Azure Experience with AI modeling frameworks such as TensorFlow, PyTorch, Keras ...

through rigour. Qualifications & Skills 5+ years of analytics experience in a consumer-facing product environment, with demonstrable impact on product and commercial outcomes. Advanced SQL — comfortable writing performant queries against large, complex datasets; window functions, CTEs, query optimisation. Strong Python — pandas, numpy, scipy, statsmodels (or equivalent); able to build analysis ...

building and maintaining production‐grade data pipelines Able to communicate clearly and efficiently with all internal teams Technical skills and experience should include SQL, including complex queries, window functions, and performance optimisation. Google BigQuery, including table design, partitioning, clustering, and query performance tuning Dataform or equivalent transformation frameworks (dbt, etc. ...

data analysis, business intelligence, analytics engineering or a closely related role. Strong experience of data preparation, cleansing, modelling and quality assurance. Experience using SQL and visualisation tools such as Power BI, Microsoft Fabric or equivalent platforms. Experience working with CRM, customer, commercial or operational data; Salesforce experience is particularly relevant. ...

similar discipline. Experience in logistics, e-commerce, marketplaces, or another fast-moving, customer‐focused business is useful but not essential. Proficiency with SQL and a scripting language such as Python or R, alongside experience with BI or visualisation tooling such as Looker, Tableau, or similar. Comfortable using modern AI‐assisted ...

storage, access patterns, data warehouses, lakes/lakehouses and governance. Experience with cloud platforms; Microsoft Azure experience is particularly relevant. Good working knowledge of SQL and modern data engineering approaches, including Python. Experience designing reusable technical components, shared services or platforms used across multiple products or teams. A strong understanding ...

considerations across operational and analytical use cases.* Analyse and query data across relevant platforms to investigate problems, validate assumptions and support decision-making, using SQL and appropriate query models for technologies such as Databricks, Salesforce, DynamoDB and reporting or warehouse platforms.* Work with data and platform specialists to ensure data … requires strong distributed-systems and AWS expertise, together with exceptional data fluency. You will be comfortable working deeply with relational and non-relational data, SQL and other query models, and the data platforms and pipelines that underpin operational and customer-facing services. This is not a Data Engineer role; however ...

more reliable, repeatable and auditable reporting. This is a hands-on role. The successful candidate must have sufficient technical capability to work independently across SQL, reporting, APIs, integrations and automation, whilst collaborating with the wider Data & Analytics team on more complex requirements. Finance will retain ownership of accounting policy, financial … core Finance data into Black Sheep Coffee's central data and reporting environment. Build and maintain reliable Finance reporting tables, data models and controlled SQL-based logic. Reduce reliance on repeated NetSuite exports, large Excel models and manually maintained reporting. Connect financial and operational data across stores, suppliers, inventory, payments ...