1 to 25 of 442 SQL Jobs in the City of London

Collaborate with stakeholders across the business to deliver value-driven solutions What were looking for: London/Lloyd's Market experience is essential Strong programming skills in Python and SQL; knowledge of Java or Scala is a plus Solid experience with relational databases and data modelling (Data Vault, Dimensional) Proficiency with ETL tools and cloud platforms (AWS, Azure or GCP More ❯

years' experience in data modelling. Advanced level in application-based data modelling and ETL. Strong background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, ideally Sagemaker Unified Studio. Ability to validate, test, and build data engineering solutions. Strong More ❯

Apps, Power BI, Dataverse) Solid understanding of REST APIs, JSON, and system integration patterns Experience with Microsoft 365 ecosystem and Azure services Knowledge of data modeling, database concepts, and SQL Understanding of security frameworks and compliance requirements Communication & Collaboration Skills Exceptional verbal and written communication skills with ability to explain complex technical concepts clearly Proven stakeholder management experience working with More ❯

experience deploying and managing production machine learning models using Azure Machine Learning. * Strong grasp of MLOps principles, including CI/CD, model monitoring, and retraining pipelines. * Experience with Python, SQL, and Azure data services such as Data Factory, Blob Storage, or Data Lake. * Proficiency with DevOps tools (e.g., Git, Azure DevOps) and version control workflows. * Familiarity with reporting and visualisation More ❯

emerging tools and platforms What You'll Bring Essential Experience: University degree (2:1 minimum) in analytical field 5+ years in analytics/intelligence function Expert-level: Databricks, Python, SQL, Excel, JavaScript Advanced Excel skills including macro development Experience with Qlik or similar BI platforms Proven track record in cross-team project management Passion for technology and automation Highly Valued More ❯

emerging tools and platforms What You'll Bring Essential Experience: University degree (2:1 minimum) in analytical field 5+ years in analytics/intelligence function Expert-level: Databricks, Python, SQL, Excel, JavaScript Advanced Excel skills including macro development Experience with Qlik or similar BI platforms Proven track record in cross-team project management Passion for technology and automation Highly Valued More ❯

with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding of scalable architecture. Familiarity with CRM/ERP More ❯

with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding of scalable architecture. Familiarity with CRM/ERP More ❯

with data governance and compliance regulations (e.g., GDPR, HIPAA). • Strong experience of Agile practises and especially scrum of scrums and Atlassian tooling. • Proficiency in database management systems (e.g., SQL, NoSQL). • Experience of data analytics tool such as Python and R. • Data modelling tooling such as Power Designer. • Experience of BI tools. • Experience of working with Data Office departments. More ❯

with data governance and compliance regulations (e.g., GDPR, HIPAA). • Strong experience of Agile practises and especially scrum of scrums and Atlassian tooling. • Proficiency in database management systems (e.g., SQL, NoSQL). • Experience of data analytics tool such as Python and R. • Data modelling tooling such as Power Designer. • Experience of BI tools. • Experience of working with Data Office departments. More ❯

and archival strategies in cloud environments. Strong understanding and practical implementation of Medallion Architecture (Bronze, Silver, Gold layers) for structured data processing. Advanced programming skills in Python, PySpark, and SQL, with the ability to build modular, efficient, and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflake schema designs. Extensive More ❯

and archival strategies in cloud environments. Strong understanding and practical implementation of Medallion Architecture (Bronze, Silver, Gold layers) for structured data processing. Advanced programming skills in Python, PySpark, and SQL, with the ability to build modular, efficient, and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflake schema designs. Extensive More ❯

analytical role (e.g., Business Analyst, Data Analyst, Strategy Analyst) within a consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous More ❯

analytical role (e.g., Business Analyst, Data Analyst, Strategy Analyst) within a consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous More ❯

analytical role (e.g., Business Analyst, Data Analyst, Strategy Analyst) within a consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous More ❯

analytical role (e.g., Business Analyst, Data Analyst, Strategy Analyst) within a consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous More ❯

analytical role (e.g., Business Analyst, Data Analyst, Strategy Analyst) within a consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous More ❯

analytical role (e.g., Business Analyst, Data Analyst, Strategy Analyst) within a consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous More ❯

excellent communication skills with a consultative approach and a strong interest in influencing stakeholders. Tool experience required: Strong data visualisation using Power BI and coding ability using either normalisation, SQL, or Python). Desirable: Experience working in a Data warehouse, or lake environments e.g. Snowflake, Redshift, DataBricks, and ELT and data pipelines e.g. dbt Familiar with predictive analytics techniques Please More ❯

excellent communication skills with a consultative approach and a strong interest in influencing stakeholders. Tool experience required: Strong data visualisation using Power BI and coding ability using either normalisation, SQL, or Python). Desirable: Experience working in a Data warehouse, or lake environments e.g. Snowflake, Redshift, DataBricks, and ELT and data pipelines e.g. dbt Familiar with predictive analytics techniques Please More ❯

intuitive, self-serve data models Own data products end-to-end, from design to continuous improvement Promote innovation and best practices in data engineering About You: Strong experience with SQL, Python, and BI tools (e.g., Power BI) Solid understanding of dimensional modelling and data architecture Experience working in governed, decentralised data environments Excellent communication and stakeholder engagement skills Analytical mindset More ❯

improvement initiatives. Support automation efforts and help evolve analytical capabilities across the team. Your Skills & Experience Essential: Strong background in data analysis, statistical modelling, and insight generation. Proficient in SQL, Excel, and data visualisation tools such as Power BI. Ability to interpret complex datasets and translate them into clear, actionable insights. Excellent stakeholder management and communication skills, with experience presenting More ❯

sources to gain insights on clinical data, pipeline drugs, financial market data, company financial data & prescription data. The main tools to provide these insights will be web scraping, Python, SQL (and Excel), Power BI and LLM prompt engineering, therefore proficiency in these areas is required. We expect the successful candidate to grow into a self-starting analyst with significant domain More ❯

sources to gain insights on clinical data, pipeline drugs, financial market data, company financial data & prescription data. The main tools to provide these insights will be web scraping, Python, SQL (and Excel), Power BI and LLM prompt engineering, therefore proficiency in these areas is required. We expect the successful candidate to grow into a self-starting analyst with significant domain More ❯

A advisory. Proficient in requirements gathering, stakeholder management, and Agile delivery frameworks. Skilled in using JIRA, Confluence, and process modeling tools. Excellent communication and problem-solving skills. Familiarity with SQL and data analysis is preferred. Financial certifications (e.g., CFA, FRM) and experience with data visualization tools like Power BI or Tableau are advantageous. Carbon60, Lorien & SRG - The Impellam Group STEM More ❯