and workforce planning by providing data-driven insights. Key requirements: Proven experience in Financial Services (ideally with exposure to Quantitative Analytics, Risk Modelling, etc.) Advanced proficiency in Python, PowerBI, Databricks, and Azure. Strong background in dashboarding, data automation, and process optimization. Excellent communication skills and ability to work with business stakeholders e.g. Risk Managers, Portfolio Managers, etc. Experience working in More ❯
and workforce planning by providing data-driven insights. Key requirements: Proven experience in Financial Services (ideally with exposure to Quantitative Analytics, Risk Modelling, etc.) Advanced proficiency in Python, PowerBI, Databricks, and Azure. Strong background in dashboarding, data automation, and process optimization. Excellent communication skills and ability to work with business stakeholders e.g. Risk Managers, Portfolio Managers, etc. Experience working in More ❯
and workforce planning by providing data-driven insights. Key requirements: Proven experience in Financial Services (ideally with exposure to Quantitative Analytics, Risk Modelling, etc.) Advanced proficiency in Python, PowerBI, Databricks, and Azure. Strong background in dashboarding, data automation, and process optimization. Excellent communication skills and ability to work with business stakeholders e.g. Risk Managers, Portfolio Managers, etc. Experience working in More ❯
culture, and enable self-service analytics by delivering reliable, high-quality data. What we’re looking for Strong programming skills in SQL and Python, with experience in platforms like Databricks, Airflow, dbt, and Looker. Deep understanding of data engineering best practices, including data warehousing, design, performance/cost optimisation, governance, observability, and monitoring. Experience working across different parts of the More ❯
culture, and enable self-service analytics by delivering reliable, high-quality data. What we’re looking for Strong programming skills in SQL and Python, with experience in platforms like Databricks, Airflow, dbt, and Looker. Deep understanding of data engineering best practices, including data warehousing, design, performance/cost optimisation, governance, observability, and monitoring. Experience working across different parts of the More ❯
culture, and enable self-service analytics by delivering reliable, high-quality data. What we’re looking for Strong programming skills in SQL and Python, with experience in platforms like Databricks, Airflow, dbt, and Looker. Deep understanding of data engineering best practices, including data warehousing, design, performance/cost optimisation, governance, observability, and monitoring. Experience working across different parts of the More ❯
london (farringdon), south east england, united kingdom
Signify Technology
culture, and enable self-service analytics by delivering reliable, high-quality data. What we’re looking for Strong programming skills in SQL and Python, with experience in platforms like Databricks, Airflow, dbt, and Looker. Deep understanding of data engineering best practices, including data warehousing, design, performance/cost optimisation, governance, observability, and monitoring. Experience working across different parts of the More ❯
scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing. Manage ML lifecycle with tools such as Databricks , MLflow , and cloud-native platforms (Azure preferred). Collaborate with engineering teams to ensure scalable, secure ML infrastructure aligned with compliance standards (e.g., ISO27001). Ensure data governance, particularly around More ❯
model training and inference. Driving best practices in data governance, security, and performance optimisation. What We're Looking For Strong experience with Azure cloud services, especially Data Factory, Synapse, Databricks, and Azure Functions. Proficiency in Python, SQL, and data transformation techniques. Experience working with both structured and unstructured data sources. Understanding of AI/ML data requirements and how to More ❯
model training and inference. Driving best practices in data governance, security, and performance optimisation. What We're Looking For Strong experience with Azure cloud services, especially Data Factory, Synapse, Databricks, and Azure Functions. Proficiency in Python, SQL, and data transformation techniques. Experience working with both structured and unstructured data sources. Understanding of AI/ML data requirements and how to More ❯
market, credit, and operational risk, compliance, and trade lifecycle Proven in delivering complex risk and compliance solutions Strong leadership and stakeholder management skills Bonus: Python, Azure Data Factory/Databricks, data analysis, and COTS risk platforms (e.g., CubeLogic, deltaconX) Package 85,000 Base Salary 15% non-contributory pension Hybrid working (3 days per week) Performance-based bonus scheme Comprehensive benefits More ❯
London, Tower, United Kingdom Hybrid / WFH Options
Intec Select Ltd
market, credit, and operational risk, compliance, and trade lifecycle Proven in delivering complex risk and compliance solutions Strong leadership and stakeholder management skills Bonus: Python, Azure Data Factory/Databricks, data analysis, and COTS risk platforms (e.g., CubeLogic, deltaconX) Package £85,000 Base Salary 15% non-contributory pension Hybrid working (3 days per week) Performance-based bonus scheme Comprehensive benefits More ❯
What You’ll Bring Must-Have Skills 5+ years in Sales Ops/Rev Ops roles Proficient in SQL and Python (Pandas, PySpark) Strong experience with cloud data platforms (Databricks, Snowflake, GCP) Background in building ETL/ELT solutions and data modelling Advanced Excel/Power BI/VBA skills 2+ years’ experience with Salesforce (essential) Preferred Skills Experience launching More ❯
What You’ll Bring Must-Have Skills 5+ years in Sales Ops/Rev Ops roles Proficient in SQL and Python (Pandas, PySpark) Strong experience with cloud data platforms (Databricks, Snowflake, GCP) Background in building ETL/ELT solutions and data modelling Advanced Excel/Power BI/VBA skills 2+ years’ experience with Salesforce (essential) Preferred Skills Experience launching More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Client Server
skills You're comfortable taking ownership of projects and working end-to-end You have a good knowledge of Distributed Systems and DevOps tooling Ideally you will also have Databricks experience What's in it for you: As a Senior Data Engineer you will earn a highly competitive package: Salary to £85k Bonus c15% Pension (up to 7% employer contribution More ❯
London, England, United Kingdom Hybrid / WFH Options
Client Server
skills You’re comfortable taking ownership of projects and working end-to-end You have a good knowledge of Distributed Systems and DevOps tooling Ideally you will also have Databricks experience What’s in it for you: As a Senior Data Engineer you will earn a highly competitive package: Salary to £85k Bonus c15% Pension (up to 7% employer contribution More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Client Server Ltd
skills You're comfortable taking ownership of projects and working end-to-end You have a good knowledge of Distributed Systems and DevOps tooling Ideally you will also have Databricks experience What's in it for you: As a Senior Data Engineer you will earn a highly competitive package: Salary to £85k Bonus c15% Pension (up to 7% employer contribution More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Client Server
skills You’re comfortable taking ownership of projects and working end-to-end You have a good knowledge of Distributed Systems and DevOps tooling Ideally you will also have Databricks experience What’s in it for you: As a Senior Data Engineer you will earn a highly competitive package: Salary to £85k Bonus c15% Pension (up to 7% employer contribution More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Altura Partners Ltd
Communicating data-driven insights and influencing both technical and business stakeholders What We’re Looking For Expert-level Python (scikit-learn, pandas, etc.), SQL, and big data platforms (e.g. Databricks) Proven experience with MLOps : deploying, monitoring, and scaling models in production Strong cloud experience (AWS, GCP, or Azure) and comfort with CI/CD pipelines Broad data science expertise spanning More ❯
Communicating data-driven insights and influencing both technical and business stakeholders What We’re Looking For Expert-level Python (scikit-learn, pandas, etc.), SQL, and big data platforms (e.g. Databricks) Proven experience with MLOps : deploying, monitoring, and scaling models in production Strong cloud experience (AWS, GCP, or Azure) and comfort with CI/CD pipelines Broad data science expertise spanning More ❯
popular Python libraries for data wrangling, such as Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/ More ❯
popular Python libraries for data wrangling, such as Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/ More ❯
popular Python libraries for data wrangling, such as Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/ More ❯
popular Python libraries for data wrangling, such as Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/ More ❯
london (city of london), south east england, united kingdom
Winston Fox
popular Python libraries for data wrangling, such as Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/ More ❯
