1 to 25 of 293 SQL Jobs in Central London

role We are looking for a hands-on Senior Data Architect who is equally comfortable designing the target state for a multi-system SQL data estate, writing and tuning the T-SQL that delivers it, and standing up the security, monitoring and operational practices that keep it running. You will … warehouse and data lake to a modern dimensional model, finish the rollout of a principle-of-least-privilege security model across a multi-server SQL estate, and continue the migration of our reporting estate from SSRS to Power BI. You will set the technical direction for the data team ...

data quality framework and its associated processes and reporting Identify opportunities to monetize data Operational Work to develop reports and analyses using SQL, BI & statistical tools against the CLS data warehouse and the data quality framework. Keep the warehouse up to date and exceeding data quality targets Monitor, investigate … resolve issues with the ETL and reporting processes Oversee the execution of scheduled analyses, reporting and model processes and automate repeat tasks using available SQL & BI tools Log work requests, provide estimations of effort and track progress Create and maintain process documentation Leadership Mentor L3/4 team members. Qualifications ...

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 ...

ensure data quality/accuracy. Mentor and guide junior data engineers, providing technical expertise and project oversight. What we're looking for Advanced SQL, including writing complex queries, partitioning, clustering and cost-aware query optimisation . Experience of modern orchestration/ELT tooling, ideally Dagster and dbt. Strong Python ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Azure equivalents. Strong understanding of data platform architecture, data pipelines and distributed processing . Experience with relational and NoSQL databases . Strong SQL skills and understanding of data modelling and schema design. Experience with CI/CD and DevOps practices . Experience using Terraform or equivalent Infrastructure as Code technologies ...

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/ ...

Azure DataEngineering or Databricks preferred. Strong knowledge of Azuretechnologies, including ADF, ADLS, Databricks, Stream Analytics, DeltaLive Tables, and Synapse Analytics. Advanced proficiency in SQL andprogramming languages such as Python, Scala, or Spark-SQL. Experience in designing anddeveloping scalable ETL pipelines and optimizing data workflows. Deep understanding of data migrationfrom ...

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 ...

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 ...

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 ...

have strong data engineering experience, combining hands-on technical capability with leadership and stakeholder engagement skills. Key requirements include: Strong programming skills in Python, SQL or similar programming languages. Extensive experience with AWS Experience building, maintaining and optimising data pipelines and ETL processes. Understanding of data engineering principles, data management ...

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 ...