151 to 175 of 4,443 SQL Jobs in London

years delivering Power BI at enterprise scale. Expert knowledge of Power BI, DAX, Power Query (M), semantic modelling and dimensional modelling, supported by strong SQL capability. Hands‐on experience with Power BI Service, Premium or Microsoft Fabric capacity, gateways, deployment pipelines and cloud data‐platform integration across Azure or AWS. ...

pipelines to orchestrate the ingestion of data from disparate source systems into a centralised data analytics platform. Designing and implementingdata engineering solutions using T-SQL, Python, PySpark and DBT in the Azurecloud environment. Working with Data Analystsin promoting business logic into DBT data models, to support business reportsand dashboards. Maintaining … visualisations from structured andunstructured sources. Have experiencewith the Azure Platform including: DataIngestion: Azure Data Factory (ADF), Databricks, Logic Apps and Function App DataStorage: ADLS, SQL Server and Unity Catalog (Medallion Architecture) Strongunderstanding of the Databricks Platform including managing, developing anddeploying workflows, jobs and notebooks. Provenexperience in modelling data ...

development role. Strong hands-on experience with Databricks or an equivalent enterprise data platform (Azure Synapse, Microsoft Fabric, Snowflake). Proficiency in SQL and experience building and optimising semantic or data models at scale, including window functions and complex business logic. Solid understanding of data modelling principles — star schema, dimensional ...

framework components that improve how the platform is used and operated. The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards … with evidence of 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 software engineering fundamentals, including version control ...

enterprise AI governance patterns. 7+ years strong hands-on experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling, with the ability to build practical end-to-end solution designs. Proven ability to own solution architecture end to end: shape target … industries. Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture. Core Technology Stack Data platform : Azure Data Factory, Databricks, Azure data lake, SQL, dimensional modeling, ETL/ELT, orchestration. AI platform : Azure OpenAI, Azure AI Foundry, Azure AI Search, Copilot Studio, Semantic Kernel, Prompt Flow. Analytics : Power ...

community at Moneybox, sharing expertise and helping raise standards across our technology estate Our Data Technology Stack Cloud: Microsoft Azure Data platforms: Azure Databricks, SQL Server, Cosmos DB and Blob Storage Data processing: Python, Spark and SQL Messaging: Azure Service Bus and Event Hubs DevOps and infrastructure: Azure DevOps, GitHub … pipelines Strong understanding of ETL and ELT architectures and patterns Strong programming and data transformation skills, particularly using technologies such as Python, Spark and SQL Experience working with cloud-based data platforms Experience designing systems for reliability, observability, performance and data quality Strong understanding of data modelling and the principles ...

will include: Building, developing and maintaining Power BI dashboards and reportsAnalysing complex business data to identify trends, opportunities and risksDeveloping robust data models using SQL, DAX and Power QuerySupporting business forecasting, KPI reporting and performance measurementWorking with stakeholders to understand reporting requirements and deliver practical solutionsImproving data quality and helping … analytical and enjoy using data to solve business problems. We're looking for someone with: Strong experience developing reports and dashboards in Power BIExcellent SQL skills for querying, transforming and analysing dataExperience with DAX, Power Query and data modellingKnowledge of data warehousing, ETL processes and reporting best practiceThe ability ...

Deep technical expertise with Apache Spark/Azure Databricks for distributed compute, memory optimization, and Delta Lake formats. Data Engineering Languages: Advanced proficiency in SQL (T-SQL, SparkSQL) and Python (PySpark). Security & Compliance: Direct experience implementing security controls for sensitive or identifiable data, utilizing Azure Key Vault, Azure Monitor … Analytics, and Microsoft Purview. Data Integration: Proven track record of migrating, refactoring, or connecting legacy SQL/stored procedure logic and existing pipelines into modern cloud formats. Preferred Qualifications & Certifications Certifications: Microsoft Certified: Azure Data Engineer Associate (DP-203) or Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) is highly ...

Deep technical expertise with Apache Spark/Azure Databricks for distributed compute, memory optimization, and Delta Lake formats. Data Engineering Languages: Advanced proficiency in SQL (T-SQL, SparkSQL) and Python (PySpark).Security & Compliance: Direct experience implementing security controls for sensitive or identifiable data, utilizing Azure Key Vault, Azure Monitor … Analytics, and Microsoft Purview. Data Integration: Proven track record of migrating, refactoring, or connecting legacy SQL/stored procedure logic and existing pipelines into modern cloud formats. Preferred Qualifications & CertificationsCertifications: Microsoft Certified: Azure Data Engineer Associate (DP-203) or Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) is highly advantageous. ...

models. Experience with Power BI administration, workspace management, dataflows and deployment pipelines. Experience working with cloud and on‐premise data sources. Knowledge of Microsoft SQL Server, Azure Data Services and Azure Data Factory. Proven experience mentoring or technically leading BI Developers. Experience establishing development standards and governance processes. Strong stakeholder ...

responsible for creating, monitoring, maintaining and optimising data pipelines within the TSW data ecosystem, primarily using Azure and the Adverity platform. This means writing SQL queries to generate bespoke reporting outputs, troubleshooting code issues, and implementing changes to futureproof the code. You’ll also collect information for new scopes, investigate … drive efficiency in our data team and across the business. This role is suited to someone with a strong background in Python, SQL and cloud services (Azure, GCP and AWS). A media agency or marketing data backgroundis essential for this role. Own delivery of new and existing ETL pipelines ...

with architects, senior engineers, and analysts to deliver scalable and reliable migration solutions, using technologies such as AWS Glue, Apache Iceberg, Python/PySpark, SQL, and YAML configurations. You should be comfortable working in a collaborative, delivery-focused environment and have a strong interest in data migration, cloud technologies … architecturesTest pipelines using: Python/PySpark transformationsSQL-based validation logicYAML-driven configurationsExecute and validate: Initial bulk data loadsIncremental/delta data processingWrite and run SQL queries to validate: Data completenessData accuracyTransformation outputsSupport development of test scripts and validation checks AWS Data Platforms & Lakehouse Work with AWS services including: AWS GlueS3 ...

legacy and modern stacks, experience of applying DevOps practices to data engineering as well as ability to build CI/CD pipelines Competent in SQL and at least one modern programming language, such as Python Understanding of key core concepts like distributed computing, batch & stream processing, functional and object‐orientated ...

work independently, alongside a structured, detail-oriented, and outcome-focused approach Experience with Microsoft Fabric, lakehouse architectures, and hands‐on development using Python, SQL, or Spark would be advantageous, along with familiarity with integration technologies Knowledge of DevOps practices, Infrastructure as Code, data governance tools (e.g. Purview), Power BI, other ...

real-time and batch data at scale, and an understanding of the underlying data architecture (e.g. lakehouse, star schema).Ability to write and validate SQL queries, and to trace data flows end-to-end to ensure data quality.Awareness of how AI and machine learning capabilities are being applied within analytics ...

time and batch data at scale, and an understanding of the underlying data architecture (e.g. lakehouse, star schema). Ability to write and validate SQL queries, and to trace data flows end-to-end to ensure data quality. Awareness of how AI and machine learning capabilities are being applied within ...

equivalent analytical role Strong experience using Power BI to develop dashboards, reports and visualisations. Experience analysing and interpreting large and complex datasets. Strong SQL skills and experience querying structured data sources. Experience defining and monitoring KPIs, measures and performance frameworks. Ability to translate business requirements into analytical outputs and reporting ...

insurance, annual bonus, plus other benefits. What to expect in the hiring process A preliminary phone call with the recruiter. Technical take-home task (SQL test). Technical Interview with hiring manager. A behavioural interview with the Head of Data Analytics/Science and Fraud Team. Moniepoint is an equal ...

/PySpark/Scala, Delta Lake, Unity Catalog, MLflow). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language) skills for data manipulation and automation. Hands‐on experience with cloud platforms (AWS, Azure, GCP). Familiarity with Databricks Workflows ...

/PySpark/Scala, Delta Lake, Unity Catalog, MLflow). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language) skills for data manipulation and automation. Hands-on experience with cloud platforms (AWS, Azure, GCP). Familiarity with Databricks Workflows ...

Python applications and services. Strong experience in data engineering, including the design and development of scalable ETL/ELT pipelines. Proven experience working with SQL, relational databases and large datasets. Experience with data processing technologies such as PySpark, Spark or Pandas. Strong understanding of data quality, transformation and integration. Experience ...

Level Requirements 2–4 years of experience in data science, machine learning, pricing analytics, or commercial operations. Strong technical background in Python or R, SQL, and applied ML libraries (e.g. scikit-learn, TensorFlow, XGBoost). Experience with data visualization tools (Tableau, Power BI, or similar). Understanding of statistical methods ...

Python applications and services. Strong experience in data engineering, including the design and development of scalable ETL/ELT pipelines. Proven experience working with SQL, relational databases and large datasets. Experience with data processing technologies such as PySpark, Spark or Pandas. Strong understanding of data quality, transformation and integration. Experience ...

experience in the insurance industry. Experience in Property & Casualty insurance, Accident & Health insurance, and reinsurance is a plus. Strong capabilities in Redshift and SQL, and experience working with the latest business intelligence tools and technologies. Support existing reporting and analytic assets. Create data sources that support self-service reporting ...

reports and data models, including Power Query,DAXand data modelling best practice. Experience integrating and structuring data from multiple, disparate source systems. Solid SQL skills for data extraction,transformationand querying. Comfortable working with finance,HRand project data simultaneously, with the ability to understand the underlying business logic of each area. ...