826 to 850 of 4,115 SQL Jobs in London

questions into clear, evidence-based answers. What we’re looking for 5+ years in data engineering and/or analytics on production systems. Strong SQL and Python, with experience in data warehouses and pipeline tooling. Able to both build the plumbing and interpret what the numbers mean. Comfortable using ...

skills and deep understanding of statistical techniques for credit and model risk. Being able to get hands on with data is critical - so strong SQL and Python skills are essential, and experience with data visualisation tools such as Tableau, Looker or similar is a plus! Understand how models are used … expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics infrastructure dbt and BigQuery SQL for our data modelling and warehousing Python for data science and machine learning Go to write our application code AWS for most of our backend infrastructure The interview ...

Fusion business processes across: Finance (ERP) HCM Procurement SCM Deep knowledge of Oracle Fusion data models, table structures, subject areas, and data dictionaries. Advanced SQL and PL/SQL skills. Strong understanding of data extraction, validation, reconciliation, and reporting architecture. Experience designing scalable, supportable, and high‐performance reporting solutions. Ability ...

well-respected company. Essential Skills & Experience Minimum of four years’ experience in a data engineering or related technical role. Proven expertise in SQL and working with both relational and NoSQL databases. Proficiency in Python for automation and data manipulation. Familiarity with Azure cloud services and data migration projects. Experience with ...

external datasets that contribute to Data Programme assets, identifying data‐quality issues, missingness, outliers, patterns, relationships and potential sources of bias or leakage. Use SQL and Python to prepare and validate analytical datasets in approved Fabric and Databricks workspaces, build reproducible analyses and create clear visualisations and summaries for technical … equivalent Master's degree in data science, statistics, mathematics, computer science, economics, engineering or a closely related quantitative discipline. Strong Python and SQL fundamentals, including pandas or comparable data‐analysis tools and the ability to work with relational data. Sound grasp of descriptive statistics, exploratory analysis, data visualisation, hypothesis testing ...

campaign outcomes. Develop and maintain dashboards and reporting solutions. Present insights and recommendations to senior stakeholders. Your Skills & Experience Strong advanced Excel and SQL as well as experience with Power BI or Tableau. Experience analysing customer, commercial, marketing or retail data. Ability to work with large datasets and generate actionable ...

cloud infrastructureScripting knowledge (Shell/PowerShell) and Python (advantageous)Experience with Agile/Scrum practicesExposure to on-prem to cloud migration (preferred)Knowledge of SQL/PL-SQL optimisationFamiliarity with Control-M or scheduling tools (desirable)Experience in financial services/investment banking environmentsStrong communication and stakeholder management skillsWillingness ...

hands-on experience delivering large-scale Databricks implementations within financial services. Strong experience within Insurance, Banking, Asset Management or FinTech. Advanced Python, PySpark and SQL skills. Deep knowledge of Databricks Lakehouse architecture and Delta Lake. Experience with at least one major cloud platform: AWS, Azure or GCP. Proven experience leading ...

have commercial experience in a similar Data Engineering/Analyst role, ideally gained within a market data vendor environmentYou have strong Python and SQL skillsYou have experience of building data pipelines and working with large datasetsYou have a strong understanding of data modelling and data engineering principlesYou have a strong ...

data governance Experience designing MS Fabric solutions Experience designing data platforms with Azure Hands-on experience with Azure Data Factory, Databricks and Azure SQL A track record of adapting to new technologies and methodologies The ability to review and assess technology recommendations, (including AI-generated) and present findings and pathways ...

training, and self-service tooling. Требования: Significant experience as a data analyst or analytics engineer in a team with established data engineering practices; Strong SQL and hands-on experience with BigQuery or a comparable cloud data warehouse; Experience building and maintaining data pipelines with dbt or a comparable transformation tool ...

data governance Experience designing MS Fabric solutions Experience designing data platforms with Azure Hands-on experience with Azure Data Factory, Databricks and Azure SQL A track record of adapting to new technologies and methodologies The ability to review and assess technology recommendations, (including AI-generated) and present findings and pathways ...

OpenAI, AzureML, AIFoundry, Kubernetes Understanding of software engineering tools and concepts including experience in Python, Scala or PySpark, database technologies, data modelling and SQL Confident communicator who is able to explain technical terms to non‐technical audiences and mentor junior colleagues Leads small development teams: track work, manage assignments, manage ...

full-stack applications and internal business platforms using C#/.NET Developing APIs, integrations and cloud-native solutions across Azure Building and maintaining Azure SQL and ETL/ELT data pipelines Modernising reporting, automation and operational workflows Working directly with investment, finance and operations stakeholders to solve complex business problems ...

Cloud Engineering Design and implement cloud-native integration solutions using Azure services. Develop: Azure Functions Logic Apps Service Bus API Management Azure Storage Azure SQL Event-based integration patterns. Build scalable, supportable and secure integration architectures. Work closely with cloud engineering teams to ensure alignment with Azure best practices. Technical ...

accelerate analytical workflows and uncover deeper insights. Requirements6+ years of experience in data analytics, preferably in consumer-facing digital products. Strong command of SQL, Python, and data visualization tools (e.g., Tableau, Looker, Matplotlib).Proven ability to design and analyze A/B tests and apply sound experimental methodology. Strong understanding ...

Transaction Monitoring implementations. Quantexa or comparable Financial Crime platforms. Capital Markets, Payments, Trade Finance or Transaction Processing environments. Data migration or data integration programmes. SQL, Power BI, Excel or similar analytical tools. Financial Crime Compliance, AML or Sanctions regulations. Candidate Profile The ideal candidate will be a proactive and analytical ...

Transaction Monitoring implementations. Quantexa or comparable Financial Crime platforms. Capital Markets, Payments, Trade Finance or Transaction Processing environments. Data migration or data integration programmes. SQL, Power BI, Excel or similar analytical tools. Financial Crime Compliance, AML or Sanctions regulations. Candidate Profile The ideal candidate will be a proactive and analytical ...

practices across teams Review designs and code, providing technical direction and mentorship Improve data quality, testing, observability, and operational excellence Требования Strong Python and SQL skills Deep experience with Spark and modern data platforms such as Databricks and Snowflake Solid understanding of cloud data services in AWS or GCP Demonstrated ...

Transaction Monitoring implementations. Quantexa or comparable Financial Crime platforms. Capital Markets, Payments, Trade Finance or Transaction Processing environments. Data migration or data integration programmes. SQL, Power BI, Excel or similar analytical tools. Financial Crime Compliance, AML or Sanctions regulations. Candidate ProfileThe ideal candidate will be a proactive and analytical Technical ...

across Data, Product and commercial teams Identified opportunities to improve scalability, reliability and efficiency What You'll Need Programming & Data Skills: Strong Python and SQL skills, with experience building production-grade data pipelines Data Platform Experience: Hands-on experience with modern data tools (e.g. Snowflake, Airflow, dbt) and cloud environments ...

such as Azure, AWS or GCP . Experience with Docker, Kubernetes and containerised deployments. Knowledge of job orchestration, workflow engines and message queues. Strong SQL and data integration experience. Experience building highly available, production-grade systems. Understanding of monitoring, observability and operational support. Strong stakeholder engagement and communication skills. Desirable ...

Proficiency in object-oriented Python, advanced dataframes (Polars/Pyspark), and data versioning (DVC). Experience designing data storage solutions and using object-oriented SQL interfaces. Cloud & DevOps: Hands-on experience with at least two major cloud providers (AWS, Azure, GCP), including app deployment, database services (e.g., RDS, CosmosDB ...

equivalent practical experience Strong quantitative skills or data engineering expertise Strong hands‐on programming experience in Python or Java Good working knowledge of SQL, including troubleshooting, optimisation and data analysis Ability to learn new tools, internal platforms and delivery workflows quickly Familiarity with version control, testing, release discipline ...

pipeline development. Experience with PySpark, Polars or Dask is also valuable. Python, including testing, build tooling and engineering best practices. SQL, including Snowflake-optimised SQL. dbt, including Jinja templating, or equivalent transformation frameworks. CI/CD, ideally with GitHub Actions, TeamCity or Artifactory. Agile software/data engineering environments ...