301 to 325 of 3,928 SQL Jobs in London

Azure, GCP) and infrastructure-as-code (Terraform, CloudFormation). Hands-on expertise with data lake/lakehouse architectures and modern streaming solutions. Experience with SQL, NoSQL, ETL/ELT pipelines, and programming languages (Python, R, Java). Familiarity with BI, data visualisation, and DevOps principles. Strong understanding of data governance ...

Knowledge of workflow orchestration platforms such as Apache Airflow. Experience with data processing technologies such as Pandas, Apache Beam, Spark, or similar frameworks. Strong SQL skills and experience with analytical databases such as BigQuery, PostgreSQL, or ClickHouse. Familiarity with observability and monitoring tools such as Prometheus, Grafana, Splunk, or OpenTelemetry. ...

scoped deliverable, working directly with the stakeholder to get thereSignificant experience as a data analyst, ideally in a team with established data engineering practicesStrong SQL, with hands-on experience in BigQuery or a comparable cloud data warehouseExperience building and maintaining production data transformation code, meaning layered, version-controlled and tested ...

profiles focused only on ETL. However, we will consider candidates who bring Cloud + CI/CD experience alongside technologies such as: Proficient SQL; familiarity with PySpark is beneficial dbt Microsoft Fabric SQLMesh 5. Core Engineering Skills Strong Python, with good documentation and unit testing practices Comfortable in an agile ...

parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering/random forest (desirable). Tech Stack: SQL, Python, R, Tableau, AWS Athena + More! More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share ...

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 Responsibilities Data Analysis & Insights Lead complex, cross-functional data analyses to uncover ...

years you’ve been doing it. You’ll ideally have: Experience working within e-commerce, retail, fashion or another fast-moving consumer environment. Strong SQL skills and solid data modelling capability. Hands-on experience with dbt. Experience working with modern cloud data warehouses such as BigQuery. Experience with BI platforms ...

workshops. About the Candidate Essential Experience Excellent experience delivering in Python and experience with at least one other core language. Strong expertise in SQL and relational databases. Solid experience with Cloud providers such as AWS, Azure or GCP. Solid experience working with Snowflake and dbt. Strong experience working with different ...

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 ...

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 ...

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 ...