276 to 300 of 4,030 SQL Jobs in London

commercial and operational domains. Turn raw data into trusted, reusable and well-modelled products for Analytics, Data Science and AI. Develop solutions in Snowflake, SQL, Python and modern transformation tooling such as dbt. Build analytical models that give consistent views of customers, bookings, products and key entities. Implement automated testing … find root causes and fix them properly. About You Essential Strong professional experience in data engineering or analytics engineering. Strong hands-on capability with SQL and Python. Experience with Snowflake or another modern cloud data platform. Experience designing and developing ELT and ETL pipelines in production. A good understanding ...

Strong commercial experience designing and building dashboards and reports in Power BI and/or Tableau, including data modelling and DAX or equivalent. Strong SQL and confidence working with complex, imperfect data. Proven ability to translate business requirements into defined metrics, reporting models and clear visual outputs. A strong visual … management skills, including with senior and executive audiences. Comfortable working within a fast-paced, collaborative consultancy environment. Desirable Experience working with Databricks, including Databricks SQL and AI/BI dashboards. A background in management consultancy or a specialist data practice. Experience in public sector, higher education or other regulated environments. ...

services. Strong understanding of authentication and access management technologies including OAuth & OIDC. Experience working with analytical platforms and data‐intensive workloads. Working knowledge of SQL and Python. Exposure w/t owards ma... Security & Governance Demonstrable experience designing secure and compliant cloud solutions. Strong understanding of governance, risk and compliance … Environment The role sits within the engineering team supporting the organisation's GCP Analytics platform. Current technologies include: Google Cloud Platform (GCP) Terraform Python SQL BigQuery Power BI CI/CD and DevOps tooling Modern cloud‐native data integration technologies The platform provides secure, self‐service analytics environments that enable ...

control oversight, and data quality management activities. Contribute to the adoption and utilisation of strategic technology platforms, including Snowflake, AWS-based data services, Python, SQL, and AI-enabled productivity and analytical tools. Prepare materials and presentations for governance forums, senior management, and regulatory engagements. Analyse large datasets and identify opportunities … reporting. Experience within Treasury, Regulatory Reporting, Liquidity Risk, or Finance functions. Familiarity with Agile methodologies and tools such as JIRA and Confluence. Experience using SQL, Python, Snowflake, or cloud-based data platforms. Interest in applying AI and automation to improve reporting, analytics, and business processes. Experience with Tableau, Alteryx ...

insight that shapes where we spend. Own the inbound funnel metrics end-to-end. Define and own the metrics across landing MQL SQL trial conversion, so marketing, sales and leadership trust the same numbers. Build multi-touch attribution. Move beyond last-touch UTM tracking to attribution that shows which channels … into decisions that move pipeline and revenue. Proven analytics experience supporting marketing, growth, demand gen or RevOps, ideally in B2B SaaS or fintech. Expert SQL for complex analysis, optimisation and reusable datasets.dbt & a cloud data warehouse (BigQuery, Snowflake or similar) — commercial experience building production models, tests and docs. Modern ...

decision-making. Develop and deploy automation solutions to streamline reporting and reduce manual processes. Leverage tools such as Power BI, Power Automate, Power Apps, SQL, and Python to improve data accessibility and usability. Partner with IT and business teams to enhance system integration, data quality, and digital capabilities. Drive continuous … exposure). Strong analytical and problem-solving skills with ability to interpret complex datasets. Experience with data analysis and programming tools (e.g., Excel, SQL, Python, or similar). Ability to communicate complex risk concepts clearly and effectively to stakeholders. Preferred Qualifications: Experience with energy trading and risk management systems (e.g. ...

data transformationsTest framework and supporting toolingLead testing of AWS‐based Lakehouse and data pipeline solutions, including: AWS GlueApache IcebergAI‐enabled ETL acceleratorsNeo4jPython/PySpark, SQL and YAML‐driven configurations Quality, Defect & Risk Management Ensure quality issues, risks issues and data defects are identified early, clearly documented and effectively triaged. Monitor … masking and environment readiness. What experience you'll bring: Extensive experience in data engineering/test management. Strong technical capability in: Python/PySpark, SQL, Oracle, HDFS and YAMLBPSS minimum, SC not mandated but strong likelihood may be requiredStrong experience in leading test automation in data testing, ideally within large ...

20+ marketing platforms. Build and optimize schemas, transformations, and ETL logic for high-performance, reusable data workflows. Contribute directly to the DFP codebase (Python, SQL, Spark) — developing pipelines and infrastructure alongside the engineering team. Establish data versioning, testing, and governance frameworks ensuring reliability, lineage, and compliance. Data Engineering Leadership Drive … pipelines. Qualifications Hands‐on experience as a Data Engineer or Data Platform Developer, including direct contributions to production codebases. Expert‐level proficiency in Python, SQL, and Apache Spark for data pipeline development. Proven experience building ELT workflows using Fivetran, Airflow, DBT, or Databricks. Solid understanding of data modeling, dimensional design ...

quality across all reporting outputs. Required Skills & Experience Experience as a Data Analyst within Payments, Banking, FinTech, Cards , or Financial Services . Strong SQL skills for data extraction and analysis. Experience with Power BI, Tableau , or similar visualisation tools. Knowledge of customer segmentation, reporting, and analytics. Strong analytical and problem ...

Data Engineer Must have: Comp Sci or Engineering Degree Experience in building complex data pipelines/ETL/ELT scripts Extensive experience with SQL Excellent knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDS Experience with Data Warehouse databases like Snowflake/Redshift/BigQuery ...

track record of leading BI teams or large‐scale projects. Expertise in PowerBI and familiarity with other BI tools (e.g., Tableau, Qlik). Strong SQL proficiency and data modelling capabilities. In‐depth knowledge of insurance domains such as underwriting, claims, and finance. Experience with data warehousing, ETL processes, and data ...

ability to work independently in client environments Statistical Analysis: Strong capability in experimental design, A/B testing methodologies, and statistical inference Advanced SQL for complex queries and data manipulation #J-18808-Ljbffr ...

highly desirable. Candidates from other financial services environments, including Risk, Finance, Operations, Change, Business Management, or Regulatory functions, will also be considered. Strong SQL skills and experience working with large datasets. Hands-on experience with Power BI, Tableau, or similar reporting tools. Advanced Excel skills. Strong communication skills with ...

reviews, and contribute to hiring and capability development. Required Skills & Experience Significant experience in data engineering, including leading teams or major technical initiatives. Expert SQL and strong programming skills in Python and/or Scala. Cloud data engineering experience (AWS, Azure or GCP), including object storage, compute and managed data ...

experience as a Data Engineer, working with Azure data services. Strong understanding of data modeling concepts and relational and non-relational databases. Proficiency in SQL and experience with data integration and ETL tools (e.g., Azure Data Factory, Azure Databricks). Experience with data warehousing concepts and technologies (e.g., Azure Synapse ...

Fabric Lakehouse Fabric Data Warehouse Fabric Data Engineering Fabric Real Time Analytics Semantic Models Azure Data Platform Azure Data Lake Storage Azure Data Factory SQL Data Modelling Metadata Management Data Governance Master Data Management (MDM) Enterprise Integration Architecture Desirable Microsoft Purview Databricks Power BI AI and Advanced Analytics platforms Data ...

. 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). Extensive, progressive experience ...

practices, mentoring engineering teams in advanced data and AI engineeringRequirementsMinimum 8+ years working in data engineering, with proven architecture and leadership experienceAdvanced proficiency in SQL for performance tuning at large scaleStrong programming skills in Python, with applied experience in data engineering workflowsExpertise in PySpark for distributed data processingHands-on experience ...

data ecosystemsStrong proficiency in ELT, data modeling, and data integrationSkilled in data manipulation, processing, and orchestration frameworksHands-on experience with Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, and PyTestProficiency with GitHub, GitHub Actions, and Azure DevOpsStrong communication and collaboration skills to align technical ...

depth knowledge and hands‐on experience with core Microsoft Azure services (e.g., Virtual Machines, Azure Storage, Virtual Networks/Gateways, RBAC, Management Groups, Azure SQL/Managed Instance, Azure Functions, Azure Data Factory, Azure Kubernetes Service/Azure Container Service). Strong proficiency in Infrastructure as Code (IaC) using Terraform ...

deeply technical data engineering role, but candidates should have sufficient analytical capability to interrogate performance effectively. Relevant experience could include: . SQL . Excel . Power BI . Tableau . Looker . Digital analytics platforms . GA4 . Customer and marketing analytics Desirable Experience . Experience within digital products, SaaS ...

change, not just report on it Several years in an analytics role, with genuine multi-site operational exposure - hospitality, retail, leisure or QSR Advanced SQL, and comfort in a modelled data warehouse (experience with dbt an advantage) BI development experience (Omni, Looker, Tableau or Power BI), building tools operators actually ...

least 3 years specifically covering European gas markets. Strong technical proficiency in dataset analysis using advanced Excel, alongside hands-on coding experience in SQL, Python, or VBA for model development and automation. Proven track record of building, maintaining, and justifying quantitative market models and fundamental forecasts. Excellent written communication ...

products within enterprise Business Intelligence environments. Strong experience designing and developing data models, semantic layers, reusable data products and self‐service reporting solutions. Strong SQL and data analysis skills, with experience working with complex datasets. Experience translating business requirements into practical reporting and analytical solutions. Ability to communicate complex findings ...

working with tools like DBT and Airflow for ETL processes. Skilled in using REST APIs to develop and manage data integrations. Proficient in SQL and familiar with data visualization tools such as Looker, Superset, PowerBI, or Tableau. Bonus: Familiarity with security frameworks (e.g., SOC 2, ISO 27001, NIST ...