1 to 25 of 221 SQL Jobs in the City of London

etc., for ADF, Databricks and ML model deployments. Develop automation scripts in Python, PowerShell, or Bash to reduce manual intervention and improve service reliability. SQL and Data Warehouse Operations Write, optimize, and troubleshoot SQL queries for data validation, root cause analysis, and report troubleshooting. Support and maintain data warehouse environments … such as Azure Synapse Analytics, SQL Server/Azure SQL DB, Snowflake or BigQuery. Monitor ETL performance and investigate slow-running queries and data load failures. Issue Investigation & RCA Investigate job failures and performance issues across data pipelines, ML endpoints, and dashboards. Perform root cause analysis and provide short‐term ...

commercial experience of Kimball dimensional modelling and dbt transformations. Experience using Git and Azure DevOps for source control, testing and CI/CD. Strong SQL skills and experience with complex data structures. Experience building and supporting enterprise data warehouses or similar analytical platforms. Experience developing reliable ETL or ELT processes ...

with demonstrable, production-quality experience using pandas and related libraries for data cleansing, transformation and automation. Experience with Git and collaborative development workflows. Strong SQL, with practical experience of designing relational database schemas and building and maintaining data stores. A proven track record of working with large, messy, inconsistently structured ...

quality, troubleshoot issues and continuously improve existing engineering processes and workflows. Required Skills Commercial experience in a Data Engineering or Data Developer role. Strong SQL and Python programming skills. Hands-on experience with Google BigQuery and Google Cloud Platform. Experience implementing cloud-based data solutions. Experience integrating Salesforce Marketing Cloud ...

Criteria Expertise in designing and building data intensive applications and pipelines, with an open mindset on choice of tools Strong proficiency in Python and SQL, with a focus on writing clean, performant code to process and manage large volumes of data Experience designing and implementing complex data-matching, reconciliation ...

Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc) o Software development best practices including CI/CD, TDD and version control. o Containerisation ...

Data Analyst Experience working with Snowflake Experience of designing and implementing data analytics strategies and driving successful data-driven initiatives. Proficiency in SQL for data extraction, manipulation, and analysis. In-depth knowledge of statistical analysis techniques, predictive modelling, and advanced machine learning algorithms. Strong experience with data visualization tools such ...

Microsoft Fabric, Databricks, Snowflake or similar, using a medallion architecture, including managing ingestion performance and forecasting platform costs. Strong Python/PySpark and SQL, with a track record of production ETL/ELT pipelines integrating data from varied business systems, including less well-documented sources. Experience delivering self-service data ...

explain the costs of consumption-based data platforms, and to build TCO and ROI cases customers can defend. Enough hands‐on ability in SQL and Python to build credible demonstrations and to test designs and proofs of value. Experience leading discovery workshops and communicating clearly with both technical and business ...

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 ...

production-grade data pipelines using Apache Spark (PySpark preferred). Experience delivering modern data platforms using Databricks or an equivalent Spark-based platform. Strong SQL skills and experience with data modelling. Good understanding of Lakehouse architecture and Delta Lake. Experience working with AWS, Azure or GCP. Experience implementing CI/ ...

following areas would be advantageous: Test Automation: Selenium, Playwright, Cypress or similar tools. API Testing: Postman, SoapUI or REST APIs. Database Testing: SQL, data validation and reconciliation. ERP Testing: SAP, Oracle, Workday or Microsoft Dynamics. Financial Services, Banking, HR, Payroll or Finance Transformation. Performance, Accessibility, Mobile or Cloud Testing. Experience ...

Engineer role. Strong hands-on experience with Microsoft Azure data technologies, including: Azure Data Factory Azure Synapse Analytics Microsoft Fabric Azure Data Lake Advanced SQL development skills. Proficiency in Python and modern data pipeline orchestration tools, including their monitoring and automation. Track record of building reliable, monitored production-grade data ...

Alteryx, Power Query, Power BI/Tableau, Excel, data modelling, dashboarding, data pre-processing, application integration techniques, VBA, SSIS, Knowledge of Relational Database Model, SQL Demonstrated communication, problem solving, quantitative and analytical abilities for technology implementations and process improvements Experience in project management ABOUT GOLDMAN SACHS At Goldman Sachs ...

management experience a strong advantage. Technical toolkit: Snowflake, including Snowpipe, Streams and Tasks, Dynamic Tables and Snowpark Azure, with Databricks exposure an advantage Advanced SQL and Python Data transformation frameworks such as dbt Data pipeline orchestration, Git-based CI/CD and DataOps Streaming, CDC and event-driven integration ...

database performance and delivering efficient data pipelines using Microsoft Fabric and PySpark. Key Skills & Experience: Strong hands-on experience with Azure Cosmos DB, including SQL API and Mongo API. Excellent knowledge of Cosmos DB Change Data Feed (CDF) and Spark integration. Strong PySpark and Apache Spark distributed computing experience. Experience ...

EXPERIENCE ESSENTIAL CRITERIA Strong experience designing, building and maintaining scalable data pipelines and integration solutions using Apache Airflow (or similar orchestration platforms), Python, SQL and bash/linux. Experience developing cloud-native data platforms and solutions on AWS, including working with cloud data warehouse technologies such as Amazon Redshift ...

insurance industry is essential. Strong understanding of insurance data models, business processes, and domain concepts. Experience building modern data pipelines using cloud technologies. Strong SQL skills and experience with data integration and transformation. Experience working with modern data platforms and cloud ecosystems such as Azure, AWS, or GCP. Familiarity with ...

readiness and integration into business processes. Broad knowledge of the Microsoft data ecosystem, such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL, Microsoft Purview and Power Platform. Proven presales capability with experience leading discovery, solution design, estimates, proposals, bids and executive presentations. Commercial acumen and the ability ...

Tech Stack We use GitHub Copilot for agentic development Our services are written in modern C# and Rust We use a fair bit of SQL databases, Kafka, and RabbitMQ We run some services on dedicated hardware and on AWS We use Azure DevOps for build/deploy pipelines and story ...

High computer literacy with demonstrated ability to learn and apply new software tools and technologies. Automation and scripting experience is a plus (PowerShell, Python, SQL) AI Skills and Experience Demonstrated ability and curiosity to use AI-enabled tools to investigate technical issues, accelerate troubleshooting, and identify practical solutions to unfamiliar ...

Foundry Solid understanding of software engineering concepts, with hands‐on experience using Python, Scala or PySpark, data modelling techniques, database technologies, and SQL Confident communicator, able to explain technical concepts to non‐technical audiences and mentor junior colleagues For Senior Consultant roles: experience leading small development teams, tracking work, managing ...

developers to ensure a successful migration from AWS Athena to Snowflake whilst representing the businesses needs. What we’re looking for Deep Expertise in SQL with experience working with modern Data Warehouses (Snowflake, Redshift, BigQuery). A practical approach to problem-solving that balances high technical standards with key business ...

problem, extracting defined spec, and prioritises shipping validated outcomes over perfect solutions, moving pilots to production at pace. Languages: Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs. Leadership and delivery management: Plans and sequences work, manages scope, dependencies and priorities, removes blockers, and drives delivery to keep innovation ...

strong technical background in processing location-based data and turning complex information into reliable, usable datasets. You'll ideally have experience with: Python and SQL , including building data pipelines and API integrations. PostgreSQL/PostGIS and spatial data modelling. GIS tools such as QGIS and geospatial libraries including GeoPandas, Shapely ...