51 to 75 of 4,541 SQL Jobs in London

documentation, governance and development practices. Use Git, source control and CI/CD or deployment workflows to support safe and repeatable development across environments. SQL, automation and AI-assisted development Write, understand and improve SQL used to prepare, validate and analyse data. Use AI development tools such as Codex … models and performance‐aware modelling. Experience designing reports that are visually clear, useful and appropriate for the audience, rather than simply technically correct. Strong SQL skills and the ability to investigate data, validate results and identify data‐quality issues. Practical experience with Microsoft Fabric, or demonstrable experience with modern Microsoft ...

similar). Proven ability to build lineage for complex platforms: data lakes, warehouses, marts, and distributed processing (Spark‐based pipelines). Strong proficiency in SQL for tracing transformations and validating mappings across layers. Working knowledge of ETL/ELT patterns, data modeling (dimensional + normalized), and batch scheduling dependencies. Ability … interpret data transformation logic from pipelines (Spark SQL/PySpark/Hive queries/orchestration configs). Strong documentation capability: source‐to‐target mappings, lineage diagrams, data dictionaries, metadata standards, and control evidence packs. Technical Skills Strong proficiency in Python (data analysis/automation for metadata extraction, validation scripts, rule ...

communication skills in English. Ability to work independently and within distributed international teams. Programming Languages Technical Skills Python (Expert Level) C# JavaScript/TypeScript SQL AI & Machine Learning Machine Learning Deep Learning Neural Networks Natural Language Processing (NLP) Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Reinforcement Learning ...

engineering, software development, or analyticsDemonstrated success in launching and scaling technical products or platformsStrong programming skills in at least two of the following: Python, SQL, JavaCommercial experience in client-facing projects is a plus, especially within multi-disciplinary teamsDeep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR)RDBMS … e.g., SQL Server, Oracle, PostgreSQL, MySQL)NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j)Solid understanding of software engineering best practices – code reviews, testing frameworks, CI/CD, and code maintainabilityExperience deploying applications into production environments, including packaging, monitoring, and release managementAbility to extract insights from complex and disparate data sets ...

surface and the dashboards you build directly influence how our teams operate and how well we support our patients.Who you areYou have strong SQL skills and can write queries confidently to extract, transform and analyse dataYou're comfortable with data visualisation tools and understand how to design dashboards that … keep stakeholders informed without requiring manual updatesEnsure dashboards are accurate, performant and easy to navigate for end usersContribute to data quality & modellingWrite clear, optimised SQL to query and manipulate data reliablyCollaborate with the Data Engineering team on data modelling, dbt transformations and data governanceIdentify and escalate data quality issues ...

applied-data-science role, including delivery of reliable pipelines, reusable data assets and useful analytical models in Microsoft Fabric and Databricks. Advanced Python, SQL and PySpark, including experience with data transformation, analysis and common machine-learning libraries. Hands-on experience designing and operating scalable data pipelines, lakehouse data models, Delta … SQL transformations, and data-quality controls in Microsoft Fabric and Databricks. Strong grounding in exploratory data analysis, statistics, feature engineering, model selection, validation and error analysis. Practical experience with NLP, information extraction, entity resolution, embeddings or other techniques relevant to document-heavy and relationship-rich data. Good understanding of data ...

this role is to turn large, complex fan datasets into clear insights that help business stakeholders make better decisions. Working hands‐on with SQL, Python and cloud data platforms such as Databricks, AWS and Snowflake, you will build the analysis, reporting and audience segments that power international marketing campaigns … fast‐paced, collaborative environments – we’d love to connect. As part of your duties, you will be responsible for: Data Analysis Write efficient SQL and Python to extract, clean, transform and analyse large fan and marketing datasets. Work within cloud data platforms (Databricks, Snowflake, AWS) to build and maintain analytical ...

including ETL/ELT, data pipelines and modern cloud data platforms Strong understanding of data warehousing, dimensional modelling, Kimball principles and data architecture Advanced SQL/T-SQL skills, including query development, optimisation and troubleshooting Strong Python, PySpark or similar programming skills for data manipulation and automation Experience integrating data ...

ease working with clients to resolve their questions. Responsibilities Data Analysis & Reporting Collect, clean, transform, and validate data from multiple sources; write and optimize SQL to investigate issues, reconcile records, and answer business/client questions. Build, maintain, and enhance dashboards, scheduled reports, and KPIs for internal stakeholders and clients. … Computer Science, Information Systems, or related field (or equivalent practical experience). 2+ years in a data analyst, business intelligence, or analytical role. Strong SQL skills across relational databases, plus working knowledge of database maintenance concepts (data integrity, performance, access controls). Proficiency with a BI tool (Power BI, Tableau ...

infrastructure, primarily using Google Cloud Platform (GCP) services like BigQuery and Cloud Storage, and Snowflake. Develop, test, and deploy data transformation logic using SQL and DBT (data build tool) to create clean, reliable, and performant data models. Collaborate with analytics, product, and engineering teams to understand data requirements and translate … Data Engineer, with a track record of building and maintaining production-level data pipelines and ETL/ELT processes. Strong proficiency in SQL and experience with data manipulation languages for complex data transformation and analysis. Hands‐on experience with cloud data platforms , ideally Google Cloud Platform (GCP), including services like ...

help them to understand the risks and key drivers for their business using software such as Python, R, Azure, Databricks/other ML services, SQL, Tableau and Power BI. Development and delivery of new and innovative data science and machine learning tools and solutions to support evolving audit and assurance … cloud environment (e.g. Azure, AWS). Experience using Azure Databricks, Azure MLflow, Azure ML services and/or other ML services. Experience using Excel, SQL, Power BI, Tableau. Experience using Docker and Kubernetes. Experience working in an Agile development team. Experience delivery data science for financial industry or large/ ...

help them to understand the risks and key drivers for their business using software such as Python, R, Azure, Databricks/other ML services, SQL, Tableau and Power BI.Development and delivery of new and innovative data science and machine learning tools and solutions to support evolving audit and assurance needs.Helping … using cloud environment (e.g. Azure, AWS).Experience using Azure Databricks, Azure MLflow, Azure ML services and/or other ML services.Experience using Excel, SQL, Power BI, Tableau.Experience using Docker and Kubernetes.Experience working in an Agile development team.Experience delivery data science for financial industry or large/complex organisations.Connect to your ...

five years) delivering data, analytics or AI work, with a strong interest in tax, technology and transformation. Solid hands-on technical skills – for example SQL and Python, data manipulation and engineering, and exposure to generative AI/LLM tools, machine learning or analytics platforms such as Power BI or Alteryx. ...

five years) delivering data, analytics or AI work, with a strong interest in tax, technology and transformation. Solid hands‐on technical skills – for example SQL and Python, data manipulation and engineering, and exposure to generative AI/LLM tools, machine learning or analytics platforms such as Power BI or Alteryx. ...

data analysis, extraction, transformation, and loading, data intelligence, data security and proven experience in their technologies (e.g. Spark, cloud-based ETL services, Python, Kafka, SQL, Airflow) You have experience in assessing the relevant data quality issues based on data sources & uses cases, and can integrate the relevant data quality checks ...

technical operational roles, ideally within a sustainability context, but not required. Hands-on experience with modern data stack tools (e.g., Snowflake, DBT, Airflow)Strong SQL and Python fluencyAdvanced data visualization (e.g., Tableau, PowerBI)Experience writing technical specifications, reviewing code or data models, and supporting engineering workflowsDemonstrated ability to lead projects ...

data models and ETL processes across multiple data sources.* Advanced Power BI skills with expert knowledge of DAX and Power Query (M).* Excellent SQL skills and experience working with large, complex datasets.* Advanced Excel capabilities, including Power Pivot and analytical modelling.* Experience creating dashboards, reports and analytics that support ...

experience designing and developing modern data pipelines and data models. Strong Power BI expertise, including data modelling, DAX, dashboard development, and workspace management. Excellent SQL skills and experience with Python and/or PySpark. Experience working with cloud data platforms such as Microsoft Fabric, Azure Data Factory, Synapse, Databricks ...

Azure Data Lake, Blob storage, or equivalent).Strong experience of building data reporting and visualisations using PowerBI, Tableau, or equivalent tools. Strong knowledge of SQL and data modelling principles. Experience in application development with proficiency in Python or JavaScript frameworks. Strong knowledge and experience of hosting in major cloud platforms ...

design, performance and evolution of its core data platform. This is a hands‐on senior position for someone who has developed deep SQL Server expertise and progressed into making architectural decisions around data modelling, schema design and platform structure. Rather than simply implementing predefined specifications, you will have genuine influence … architecture, working closely with engineering, product and operational stakeholders across an international technology function. Key responsibilities will include: Designing, developing and enhancing enterprise‐scale SQL Server solutions Taking ownership of schema design, data modelling and data architecture Optimising complex queries, execution plans, indexes and overall database performance Diagnosing production database ...

experience as a Senior Data Engineer in enterprise data environments. Technical stack: Microsoft Azure data platforms, including Azure Synapse or equivalent data platform, Azure SQL Server, Azure Data Factory, Azure DevOps, Fabric This is a new opportunity to join a thriving team to be a key voice in modernizing core … ingestion and staging layer, including: Synapse Link integrations. Synapse data pipelines for orchestration and movement. Support the Enterprise Data Warehouse (EDW) built on Azure SQL Server, including: Transformations using stored procedures, views, and DBT. Clear separation of bronze, silver, and gold layers aligned to a medallion architecture. Collaborate with ...

experience as a Senior Data Engineer in enterprise data environments. Technical stack: Microsoft Azure data platforms, including Azure Synapse or equivalent data platform, Azure SQL Server, Azure Data Factory, Azure DevOps, Fabric This is a new opportunity to join a thriving team to be a key voice in modernizing core … ingestion and staging layer, including: Synapse Link integrations. Synapse data pipelines for orchestration and movement. Support the Enterprise Data Warehouse (EDW) built on Azure SQL Server, including: Transformations using stored procedures, views, and DBT.Clear separation of bronze, silver, and gold layers aligned to a medallion architecture. Collaborate with ...

Develop scalable data models and Delta Lake architecture for reporting, analytics and future AI use cases. Manage Databricks Workflows, Lakeflow or Delta Live Tables, SQL Warehouses and related processing jobs. Administer Databricks workspaces, Unity Catalog, permissions, service principals. Support development, test and production environments, including deployment, monitoring, incident resolution … required. Qualifications: Significant experience as a Data Engineer, including ownership of production data pipelines. Strong hands-on experience with Databricks, Delta Lake, Python, SQL and PySpark. Experience integrating data from APIs, business applications, databases and files. Experience with Unity Catalog, access management, data governance and data quality controls. Experience administering ...

performance, customer experience and commercial outcomes. This is a hands‐on analytical position rather than a leadership role. The successful candidate will combine strong SQL and Power BI capability with commercial awareness, stakeholder engagement and, importantly, the ability to take ownership of their work. You will be expected to investigate … only what the data shows, but why it matters and what the organisation should consider doing as a result. Key Responsibilities Develop and maintain SQL queries and analytical datasets. Build, maintain and improve Power BI dashboards and reporting. Analyse product performance, customer behaviour and commercial outcomes. Analyse customer journeys, acquisition ...

underlying business needs and desired outcomes. Review and investigate existing reports, dashboards, datasets, and data processes to understand current capabilities, limitations, and gaps. Use SQL and other analytical techniques to investigate data, identify discrepancies, trends, anomalies, and data quality issues. Define and document KPIs, metrics, business definitions, calculation logic, rules … Business Analyst, Data Business Analyst, MI Business Analyst, or similar role . Strong experience working with data, MI, reporting, or analytics teams . Strong SQL skills with experience in data investigation, analysis, and validation. Experience defining and documenting KPIs, metrics, business rules, and calculation logic . Good understanding of data ...