are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences to help businesses capitalize on the unlimited opportunities digital offers. Our reputation … Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. Job Overview We are seeking a highly skilled and detail-oriented Python Data Engineer to join our dynamic audit and risk technology team. Based fully onsite in our Birmingham office , you will play a critical role in designing, developing, and maintaining data solutions that support audit, risk assessment, and compliance processes. This position requires strong data modeling expertise, robust Python and SQL skills, and the ability to collaborate effectively with cross-functional teams. Key Responsibilities Data Modeling & Architecture Design, develop, and maintain logical and physical data models to support audit and risk assessment activities. Utilize data modeling More ❯
is available in multiple locations London, Edinburgh, Newcastle, and Erskine with the expectation to attend any of these offices when required. Project Description: We are seeking a highly experienced Data Scientist with deep expertise in Python and advanced machine learning techniques. You need to have a strong background in statistical analysis, bigdata platforms, and cloud integration … and you will be responsible for designing and deploying scalable data science solutions. Responsibilities: Develop and deploy machine learning, deep learning, and predictive models. Perform statistical analysis, data mining, and feature engineering on large datasets. Build and optimize data pipelines and ETL workflows. Collaborate with data engineers and business stakeholders to deliver actionable insights. Create compelling … data visualizations using tools like Tableau, Power BI, Matplotlib, or Plotly. Implement MLOps practices, including CI/CD, model monitoring, and lifecycle management. Mentor junior data scientists and contribute to team knowledge-sharing. Stay current with trends in AI/ML and data science. Mandatory Skills Description: Minimum 8+ years of hands-on experience in DataMore ❯
We are seeking a Data Engineer (Databricks) to support the growth of a global technology provider within the Insurtech space. The role focuses on designing and delivering ETL pipelines and scalable solutions using the Azure ecosystem, with an emphasis on enabling advanced analytics and data-driven decision-making. As a key player in a high-performing data engineering team, you will contribute to large-scale transformation initiatives within the P&C Insurance space by developing robust data models, optimising data flows, and ensuring the accuracy and accessibility of critical information. The position requires close collaboration with both technical and business stakeholders, and is an excellent opportunity to join a team that invests in your … growth, with comprehensive training and certification programs and a real opportunity to showcase your talents. Key Responsibilities Design and develop ETL pipelines using Azure Data Factory for data ingestion and transformation Work with Azure Data Lake, Synapse, and SQL DW to manage large volumes of data Develop data transformation logic using SQL, Python, and PySpark More ❯
We are seeking a Data Engineer (Databricks) to support the growth of a global technology provider within the Insurtech space. The role focuses on designing and delivering ETL pipelines and scalable solutions using the Azure ecosystem, with an emphasis on enabling advanced analytics and data-driven decision-making. As a key player in a high-performing data engineering team, you will contribute to large-scale transformation initiatives within the P&C Insurance space by developing robust data models, optimising data flows, and ensuring the accuracy and accessibility of critical information. The position requires close collaboration with both technical and business stakeholders, and is an excellent opportunity to join a team that invests in your … growth, with comprehensive training and certification programs and a real opportunity to showcase your talents. Key Responsibilities Design and develop ETL pipelines using Azure Data Factory for data ingestion and transformation Work with Azure Data Lake, Synapse, and SQL DW to manage large volumes of data Develop data transformation logic using SQL, Python, and PySpark More ❯
Data Engineer (Insurance OR Financial Services Background) - London - 75,000-85,000 - Hybrid Data Engineer required to join a UK leading insurance business based in London. They are looking for someone who is happy to collaborate on a hybrid basis (1/2 days a week onsite). They offer excelllent career advancement alongside regular salary reviews. Role … Overview This position is perfect for someone who takes pride in owning data, code, and outcomes. Youll play a central role in shaping and maintaining the data platforms and pipelines that drive pricing analytics and underwriting performance. Your work will ensure data quality, consistency, and scalability across the board. Partnering with teams across Pricing and Underwriting, Data Science, and Engineering, youll design and build modular, transparent pipelines - delivering end-to-end visibility from raw data ingestion to pricing model deployment, empowering smarter and faster decision-making. Key Responsibilities Take ownership of, enhance, and scale the data platforms and pipelines that underpin pricing analytics. Implement robust governance, validation, and alerting systems to maintain dataMore ❯
City of London, Greater London, UK Hybrid / WFH Options
Ascentia Partners
Data Engineer (Insurance OR Financial Services Background) - London - 75,000-85,000 - Hybrid Data Engineer required to join a UK leading insurance business based in London. They are looking for someone who is happy to collaborate on a hybrid basis (1/2 days a week onsite). They offer excelllent career advancement alongside regular salary reviews. Role … Overview This position is perfect for someone who takes pride in owning data, code, and outcomes. Youll play a central role in shaping and maintaining the data platforms and pipelines that drive pricing analytics and underwriting performance. Your work will ensure data quality, consistency, and scalability across the board. Partnering with teams across Pricing and Underwriting, Data Science, and Engineering, youll design and build modular, transparent pipelines - delivering end-to-end visibility from raw data ingestion to pricing model deployment, empowering smarter and faster decision-making. Key Responsibilities Take ownership of, enhance, and scale the data platforms and pipelines that underpin pricing analytics. Implement robust governance, validation, and alerting systems to maintain dataMore ❯
