for data analysis and validation. Experience in data architecture principles and data governance. Solid understanding of Insurance domain concepts (Specialized Insurance, London Market, Regulatory Data). Preferred Experience with ETL tools and data integration processes. Familiarity with data warehousing concepts and cloud data platforms. Exposure to Fivetran, SSIS, or Snowflake advanced features. Personal Besides the professional qualifications of the candidates More ❯
for data analysis and validation. Experience in data architecture principles and data governance. Solid understanding of Insurance domain concepts (Specialized Insurance, London Market, Regulatory Data). Preferred Experience with ETL tools and data integration processes. Familiarity with data warehousing concepts and cloud data platforms. Exposure to Fivetran, SSIS, or Snowflake advanced features. Personal Besides the professional qualifications of the candidates More ❯
experience building hybrid automation solutions combining multiple technologies. Data Engineering & Pipeline Development - Strong skills in building data pipelines for AI/automation solutions including data extraction, transformation, and loading (ETL). Experience with SQL databases (SQL Server), data validation, cleansing workflows, scheduling tools (Azure Data Factory), and ensuring data quality for machine learning applications. Machine Learning Operations (MLOps) - Experience deploying More ❯
experience building hybrid automation solutions combining multiple technologies. Data Engineering & Pipeline Development - Strong skills in building data pipelines for AI/automation solutions including data extraction, transformation, and loading (ETL). Experience with SQL databases (SQL Server), data validation, cleansing workflows, scheduling tools (Azure Data Factory), and ensuring data quality for machine learning applications. Machine Learning Operations (MLOps) - Experience deploying More ❯
of third-party data licensing models, pricing structures, and contract terms Experience with data product management principles and lifecycle methodologies Technical & Analytical Skills Demonstrated experience with data integration tools (ETL/ELT), data platforms (cloud and on-premise), and emerging data technologies Prior hands-on experience with SQL, Python, Teradata, Hive, and data analysis tools Strong data profiling and data More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Travelers Europe
of third-party data licensing models, pricing structures, and contract terms Experience with data product management principles and lifecycle methodologies Technical & Analytical Skills Demonstrated experience with data integration tools (ETL/ELT), data platforms (cloud and on-premise), and emerging data technologies Prior hands-on experience with SQL, Python, Teradata, Hive, and data analysis tools Strong data profiling and data More ❯
City of London, London, United Kingdom Hybrid/Remote Options
TrueNorth®
this position. What You’ll Bring Strong Python, SQL, and dbt experience in production settings. Knowledge of cloud data warehouses (BigQuery, Redshift, Snowflake) and denormalised data models. Experience developing ETL/ELT pipelines across varied data sources Experience deploying and managing data infrastructure in a cloud environment., e.g. GCP, AWS or Azure. Ability to create dashboards for scientific users; Spotfire More ❯
this position. What You’ll Bring Strong Python, SQL, and dbt experience in production settings. Knowledge of cloud data warehouses (BigQuery, Redshift, Snowflake) and denormalised data models. Experience developing ETL/ELT pipelines across varied data sources Experience deploying and managing data infrastructure in a cloud environment., e.g. GCP, AWS or Azure. Ability to create dashboards for scientific users; Spotfire More ❯
Ensure compliance with data privacy and security standards. Skills Required: Previous experience in a data role. Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Knowledge of ETL processes and data warehousing concepts. Strong analytical and problem-solving skills. Strong presentation skills, both written and verbal; able to describe complex technical problems to a variety of audiences Ability More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Veran Performance
Ensure compliance with data privacy and security standards. Skills Required: Previous experience in a data role. Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Knowledge of ETL processes and data warehousing concepts. Strong analytical and problem-solving skills. Strong presentation skills, both written and verbal; able to describe complex technical problems to a variety of audiences Ability More ❯
the business build a new Azure platform, so exposure to Azure, ADF and Azure DevOps would also be highly beneficial.Principal Responsibilities: Perform the day to day running of the ETL processes that feed into the central data reposito click apply for full job details More ❯
teams to ensure alignment with data strategies Support metadata management, governance, and documentation processes Engage with senior business stakeholders to translate requirements into models Contribute to data migration andETL design activities Principal level: lead client relationships, manage delivery teams, and drive thought leadership SKILLS AND EXPERIENCE Required: 3–5+ years of experience in data modelling (consulting or financial services More ❯
teams to ensure alignment with data strategies Support metadata management, governance, and documentation processes Engage with senior business stakeholders to translate requirements into models Contribute to data migration andETL design activities Principal level: lead client relationships, manage delivery teams, and drive thought leadership SKILLS AND EXPERIENCE Required: 3–5+ years of experience in data modelling (consulting or financial services More ❯
fixed-term role within a small, focused programme team (Programme Lead, Technical Lead and three new hires), replacing the existing Political Finance Online system. Responsibilities Design and implement scalable ETL/ELT pipelines to migrate legacy data into Dynamics 365. Work with highly ambiguous and unstructured data, profiling, cleansing, normalising and enriching it for use in the new platform. Develop More ❯
fixed-term role within a small, focused programme team (Programme Lead, Technical Lead and three new hires), replacing the existing Political Finance Online system. Responsibilities Design and implement scalable ETL/ELT pipelines to migrate legacy data into Dynamics 365. Work with highly ambiguous and unstructured data, profiling, cleansing, normalising and enriching it for use in the new platform. Develop More ❯
with cloud platforms (preferably Google Cloud Platform) and serverless architecture. Advanced SQL and data warehousing skills (e.g. BigQuery). Familiarity with front-end frameworks such as React. Experience with ETL/ELT processes and data visualisation tools (e.g. Looker Studio). Knowledge of AI integrations and agent frameworks is an advantage. Excellent communication and stakeholder management skills. Proactive, analytical problem More ❯
with cloud platforms (preferably Google Cloud Platform) and serverless architecture. Advanced SQL and data warehousing skills (e.g. BigQuery). Familiarity with front-end frameworks such as React. Experience with ETL/ELT processes and data visualisation tools (e.g. Looker Studio). Knowledge of AI integrations and agent frameworks is an advantage. Excellent communication and stakeholder management skills. Proactive, analytical problem More ❯
Erwin Strong background in London Market/Specialty Insurance data domains – essential Proficient in Azure Data Factory and Databricks, including pipeline design and orchestration Solid understanding of data warehousing, ETL/ELT pipelines, and integration practices Knowledge of SDLC methodologies (Agile, DevOps, etc.) Confident communicator with the ability to engage technical and business stakeholders Relevant certifications in Azure, Databricks, or More ❯
Erwin Strong background in London Market/Specialty Insurance data domains – essential Proficient in Azure Data Factory and Databricks, including pipeline design and orchestration Solid understanding of data warehousing, ETL/ELT pipelines, and integration practices Knowledge of SDLC methodologies (Agile, DevOps, etc.) Confident communicator with the ability to engage technical and business stakeholders Relevant certifications in Azure, Databricks, or More ❯
South West London, London, England, United Kingdom
Sanderson
retrieval and ensure efficient performance across AWS environments Collaborate with stakeholders to translate business requirements into actionable insights Work with AWS services such as Glue, Lambda, and S3 for ETLand data processing Ensure compliance with government data security and governance standards Essential skills: Strong proficiency in SQL and AWS Athena Hands-on experience with AWS data services (Glue, S3 More ❯
SQL/T-SQL/ETL/SSIS/SSRS/Power BI/Reporting/Reports/Developer/Develop/Databases/DBA/Azure/Financial Services/Banking/Bank/Building Society/Insurance/Finance/Financial/London/Permanent/£50-65k SQL Server Developer/DBA Location: City of London More ❯
with a strong focus on software development best practices. Key Responsibilities Design, develop, and maintain end-to-end data pipelines and processing frameworks. Perform data extraction, transformation, and loading (ETL) from multiple sources. Implement advanced data visualizations and interactive dashboards using Plotly Dash. Ensure data quality, integrity, and performance through automated testing and validation. Collaborate with cross-functional teams to More ❯
engineering teams to deliver high-quality data products What you'll bring: 3-5 years' experience as a Data Engineer Strong SQL and Python skills Proven experience building modern ETL/ELT pipelines (dbt experience ideal) Experience with data orchestration tools (Prefect preferred) Understanding of data modelling , especially event-driven architectures Knowledge of modern data engineering development practices Nice to More ❯
engineering teams to deliver high-quality data products What you'll bring: 3-5 years' experience as a Data Engineer Strong SQL and Python skills Proven experience building modern ETL/ELT pipelines (dbt experience ideal) Experience with data orchestration tools (Prefect preferred) Understanding of data modelling , especially event-driven architectures Knowledge of modern data engineering development practices Nice to More ❯
London, South East, England, United Kingdom Hybrid/Remote Options
Searchability NS&D
Ensure security and compliance with DV-level clearance standards Skills & Experience: Current DV clearance (essential) Proven experience working with Palantir Foundry in complex environments Strong skills in data engineering, ETL processes, and data modelling Proficiency in relevant programming/scripting languages (e.g. Python, SQL) Experience working with large-scale datasets in secure environments Strong problem-solving skills and stakeholder engagement More ❯