to drive the data migration workstream implement the migration strategy. Requirements: Proven experience leading data migration projects within insurance, reinsurance, or financial services environments. Strong knowledge of data structures, ETL tools, and migration methodologies. Experience with reinsurance business processing is highly desirable. Demonstrated ability to produce migration artefacts such as data mapping documents, migration plans, and validation reports. Excellent communication More ❯
security. Liaise with external data providers and exchanges to maintain data integrity. Skills & Experience Proven experience in market data system development or data platform engineering . Strong background in ETL/ELT , data integration, and automation. Experience leading or mentoring technical teams. Exposure to commodities or financial trading environments . Familiarity with curve management , APIs, and modern deployment tools (e.g. More ❯
security. Liaise with external data providers and exchanges to maintain data integrity. Skills & Experience Proven experience in market data system development or data platform engineering . Strong background in ETL/ELT , data integration, and automation. Experience leading or mentoring technical teams. Exposure to commodities or financial trading environments . Familiarity with curve management , APIs, and modern deployment tools (e.g. More ❯
services Design solutions for client problem sets based on their descriptions and by exploration of the data landscape Assist in the design, development, and maintenance of data pipelines andETL processes to build data and action models to address the workflow needs Build and edit operational workflows, including front ends and decision-support toolsets, inclusive of native Palantir tooling andMore ❯
services Design solutions for client problem sets based on their descriptions and by exploration of the data landscape Assist in the design, development, and maintenance of data pipelines andETL processes to build data and action models to address the workflow needs Build and edit operational workflows, including front ends and decision-support toolsets, inclusive of native Palantir tooling andMore ❯
management skills Proficiency with Jira, DevOps, or similar tools for backlog management and refinement High-level understanding of data concepts, data architecture, and the importance of data integrity SQL & ETL Knowledge Strong organisational and planning capabilities with the ability to pragmatically prioritise work based on business value and interdependencies Experience delivering within an Agile environment #analyst #technicalba #dataanalyst #investmentmanagement #jira More ❯
of ultra-low-latency trading. Your Core Responsibilities Perform quantitative research with large datasets to understand exchange technology. Design novel approaches to optimize IMC's trade execution strategies. Develop ETL pipelines and algorithms to optimise IMC's ultra-low-latency trading strategies in Python. Reverse-engineer and stress-test network and system programming technology to understand them better than the More ❯
design backend architecture, build data pipelines, and integrate AI/LLM components into production systems. Role Breakdown: 50% Backend Engineering: FastAPI, Flask, Node.js, CI/CD 30% Data Engineering: ETL, DBT, Airflow 20% AI/LLM Integration: LangChain, RAG pipelines, orchestration Key Responsibilities: Design and build backend services to support AI agent deployment Develop scalable data pipelines and integration layers More ❯
design backend architecture, build data pipelines, and integrate AI/LLM components into production systems. Role Breakdown: 50% Backend Engineering: FastAPI, Flask, Node.js, CI/CD 30% Data Engineering: ETL, DBT, Airflow 20% AI/LLM Integration: LangChain, RAG pipelines, orchestration Key Responsibilities: Design and build backend services to support AI agent deployment Develop scalable data pipelines and integration layers More ❯
digital teams to ensure seamless integration between systems and empower data-driven insight through platforms like Snowflake , Azure Data Factory , and Power BI . Key Responsibilities Build and maintain ETL/ELT pipelines using Azure Data Factory and Matillion ETL Manage data ingestion, transformation, and storage in Snowflake Develop API integrations to connect multiple business systems Support self-service analytics … through Power BI and QlikSense Implement best practices for data modelling, governance, and optimisation What You'll Bring Experience with ETL/ELT development and SQL/Python scripting Hands-on knowledge of Snowflake and cloud data platforms (Azure, AWS, or GCP) Understanding of data modelling , automation , and BI tools A collaborative, problem-solving mindset and ability to work in More ❯
Looking for an apprentice to join our Corporate Audit Division covering business in key areas. You will play a crucial role using data analysis techniques to extract, transformand analyse data from various sources to identify risks and control weaknesses thereby improving the efficiency and effectiveness of audits. Role What you will be responsible for? As a Corporate Audit Data … and the Institute of Internal Auditor’s standards to identify and understand risk; determine control objectives; and evaluate whether controls sufficiently address identified risks through various testing techniques Obtain, extractand analyse large data sets using tools like SQL, Python or Alteryx to identify patterns, anomalies and potential risks. Create data visualisations using Power BI/Tableau to communicate findings … Analyst → Auditor → Audit Manager (with a data specialisation) Risk/Compliance Analyst → Financial Crime/Operational Risk Data roles Data Engineering/Automation (if you lean into Python/ETL tooling) BI/Reporting Developer or Product Analytics (if you enjoy visualisation and metrics) Credentials and progression support Level 4 apprenticeship plus portfolio of real audit analytics projects Exposure to More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Areti Group | B Corp™
Multiple Software Engineers – Palantir, Strong ETL, AWS & Python -Fully Remote – UK Based – Offices based in London - MUST BE SECURITY CLEARED - DV/SC 🌳🌳🌳 Areti Group has exclusively partnered with a rapidly growing startup who are seeking 8 Software Engineers to start ASAP. These roles are fully remote. This business has grown by 75% this year and is now looking for … another 30 hires between now and February. My client is seeking highly skilled and motivated Software Engineers with expertise in ETL, AWS, and Python. The ideal candidate will have a proven track record in designing and creating ETL pipelines to support major customer initiatives at the early stages of projects. This individual will play a critical role in our data … engineering team, contributing to the development and maintenance of robust and scalable data solutions. Responsibilities include the following: Responsibilities: Strong Palantir experience is desirable 🌳 ETL Pipeline Design and Implementation: Design, develop, and implement efficient and scalable ETL pipelines to support the extraction, transformation, and loading of data from diverse sources. Ensure the pipelines are optimized for performance, reliability, and maintainability. More ❯
Multiple Software Engineers – Palantir, Strong ETL, AWS & Python -Fully Remote – UK Based – Offices based in London - MUST BE SECURITY CLEARED - DV/SC 🌳🌳🌳 Areti Group has exclusively partnered with a rapidly growing startup who are seeking 8 Software Engineers to start ASAP. These roles are fully remote. This business has grown by 75% this year and is now looking for … another 30 hires between now and February. My client is seeking highly skilled and motivated Software Engineers with expertise in ETL, AWS, and Python. The ideal candidate will have a proven track record in designing and creating ETL pipelines to support major customer initiatives at the early stages of projects. This individual will play a critical role in our data … engineering team, contributing to the development and maintenance of robust and scalable data solutions. Responsibilities include the following: Responsibilities: Strong Palantir experience is desirable 🌳 ETL Pipeline Design and Implementation: Design, develop, and implement efficient and scalable ETL pipelines to support the extraction, transformation, and loading of data from diverse sources. Ensure the pipelines are optimized for performance, reliability, and maintainability. More ❯
develop, and manage scalable data solutions on the Microsoft Azure platform. You'll play a key role in architecting and implementing robust data integration solutions, as well as building ETL pipelines to support data ingestion, transformation, and loading. The Role: As an Azure data engineer, you'll collaborate with cross-functional teams in an agile environment — contributing to sprint planning … as you'll often translate complex data concepts into clear insights for non-technical stakeholders. Key Responsibilities: Architect, design, and implement scalable Azure-based data solutions. Develop and maintain ETL processes for data ingestion, transformation, and loading. Ensure data governance, integrity, and quality throughout the data lifecycle. Implement robust data security, compliance, and privacy standards. Document data architectures, data flows … practices and modern engineering standards. Key Skills & Experience: Proven background as a Data Engineer or Data Architect working with Microsoft Azure. Strong expertise in data modelling, data warehousing, andETL development. Hands-on experience with Azure Data Factory, Azure Data Lake, and Azure SQL Database. Exposure to big data technologies such as Hadoop, Spark, and Databricks. Experience with Azure Synapse More ❯
develop, and manage scalable data solutions on the Microsoft Azure platform. You’ll play a key role in architecting and implementing robust data integration solutions, as well as building ETL pipelines to support data ingestion, transformation, and loading. The Role:As an Azure data engineer, you’ll collaborate with cross-functional teams in an agile environment — contributing to sprint planning … as you’ll often translate complex data concepts into clear insights for non-technical stakeholders. Key Responsibilities: Architect, design, and implement scalable Azure-based data solutions. Develop and maintain ETL processes for data ingestion, transformation, and loading. Ensure data governance, integrity, and quality throughout the data lifecycle. Implement robust data security, compliance, and privacy standards. Document data architectures, data flows … practices and modern engineering standards. Key Skills & Experience: Proven background as a Data Engineer or Data Architect working with Microsoft Azure. Strong expertise in data modelling, data warehousing, andETL development. Hands-on experience with Azure Data Factory, Azure Data Lake, and Azure SQL Database. Exposure to big data technologies such as Hadoop, Spark, and Databricks. Experience with Azure Synapse More ❯
looking for an experienced Databricks Data Engineer to design, develop, and manage data pipelines using Azure services such as Databricks, Data Factory, and Datalake. The role involves building scalable ETL solutions, collaborating with cross-functional teams, and processing large volumes of data. You will work closely with business and technical teams to deliver robust data models and transformations in support … of analytics and reporting needs. • Responsibilities: • Design and develop ETL pipelines using ADF for data ingestion and transformation. • Collaborate with Azure stack modules like Data Lakes and SQL DW to handle large volumes of data. • Write SQL, Python, and PySpark code to meet data processing and transformation needs. • Understand business requirements and create data flow processes that meet them. • Develop More ❯
looking for an experienced Databricks Data Engineer to design, develop, and manage data pipelines using Azure services such as Databricks, Data Factory, and Datalake. The role involves building scalable ETL solutions, collaborating with cross-functional teams, and processing large volumes of data. You will work closely with business and technical teams to deliver robust data models and transformations in support … of analytics and reporting needs. • Responsibilities: • Design and develop ETL pipelines using ADF for data ingestion and transformation. • Collaborate with Azure stack modules like Data Lakes and SQL DW to handle large volumes of data. • Write SQL, Python, and PySpark code to meet data processing and transformation needs. • Understand business requirements and create data flow processes that meet them. • Develop More ❯
developing, and optimising modern data platforms on Azure Cloud — with a focus on an exciting Microsoft Fabric implementation. What you’ll do Design and build robust data pipelines andETL processes using Python and SQL. Contribute to the rollout and optimisation of Microsoft Fabric, shaping the next-generation data platform. Work across Azure services (Data Factory, Synapse, Databricks, Data Lake … Factory, Synapse, Databricks, etc.). Exposure to or keen interest in Microsoft Fabric and its integration into enterprise data strategies. Solid understanding of data architecture, pipelines, and cloud-based ETL/ELT frameworks. Familiarity with version control (Git) and CI/CD tools. Strong problem-solving skills and the ability to work in an agile, collaborative environment Why join us More ❯
developing, and optimising modern data platforms on Azure Cloud — with a focus on an exciting Microsoft Fabric implementation. What you’ll do Design and build robust data pipelines andETL processes using Python and SQL. Contribute to the rollout and optimisation of Microsoft Fabric, shaping the next-generation data platform. Work across Azure services (Data Factory, Synapse, Databricks, Data Lake … Factory, Synapse, Databricks, etc.). Exposure to or keen interest in Microsoft Fabric and its integration into enterprise data strategies. Solid understanding of data architecture, pipelines, and cloud-based ETL/ELT frameworks. Familiarity with version control (Git) and CI/CD tools. Strong problem-solving skills and the ability to work in an agile, collaborative environment Why join us More ❯
data analysis to identify data structures, relationships, quality issues, and anomalies across various source systems. Translate business rules and requirements into clear, actionable specifications for data development teams (e.g., ETL, reporting). Work closely with developers and data engineers to ensure that implemented data solutions meet business needs and functional expectations. Develop and execute data validation strategies and test cases … clear functional and technical documentation. Nice-to-Haves Experience with core insurance systems (e.g., Guidewire, Duck Creek, Insis, SICS, Insurity, or other legacy/modern platforms). Familiarity with ETL tools and processes used in data migration or data integration projects. Understanding data governance, metadata management, and data quality best practices. Experience in Agile, Scrum, or hybrid delivery methodologies. Knowledge More ❯
data analysis to identify data structures, relationships, quality issues, and anomalies across various source systems. Translate business rules and requirements into clear, actionable specifications for data development teams (e.g., ETL, reporting). Work closely with developers and data engineers to ensure that implemented data solutions meet business needs and functional expectations. Develop and execute data validation strategies and test cases … clear functional and technical documentation. Nice-to-Haves Experience with core insurance systems (e.g., Guidewire, Duck Creek, Insis, SICS, Insurity, or other legacy/modern platforms). Familiarity with ETL tools and processes used in data migration or data integration projects. Understanding data governance, metadata management, and data quality best practices. Experience in Agile, Scrum, or hybrid delivery methodologies. Knowledge More ❯
existing and new advanced Power BI dashboards and reports. Assume ownership of data within Microsoft Dynamics 365, including cleansing, validation, and reconciliation. Design scalable data models and implement robust ETL processes. Develop and maintain APIs and data interfaces to enhance system connectivity. Ownership of the Data team ticketing system, to track and resolve issues efficiently. Collaborate with technical and non … sales modules). Demonstrable full-stack development skills in SQL, Turbo C and Python, with proven experience in API development and data integration. Experience designing scalable data architectures andETL pipelines. Proven ability to manage multiple priorities and deliver projects successfully. Exceptional communication skills, with the ability to translate complex technical concepts for non-technical audiences. Demonstrable understanding of data More ❯
existing and new advanced Power BI dashboards and reports. Assume ownership of data within Microsoft Dynamics 365, including cleansing, validation, and reconciliation. Design scalable data models and implement robust ETL processes. Develop and maintain APIs and data interfaces to enhance system connectivity. Ownership of the Data team ticketing system, to track and resolve issues efficiently. Collaborate with technical and non … sales modules). Demonstrable full-stack development skills in SQL, Turbo C and Python, with proven experience in API development and data integration. Experience designing scalable data architectures andETL pipelines. Proven ability to manage multiple priorities and deliver projects successfully. Exceptional communication skills, with the ability to translate complex technical concepts for non-technical audiences. Demonstrable understanding of data More ❯
data accuracy, consistency, and compliance with business needs throughout the entire migration lifecycle." Strong understanding of data migration principles and best practices. Experience with data extraction, transformation, and loading (ETL) tools and techniques. Experience in delivering D365F&O and integration using Azure services. Successfully migrated Dynamics 365 F&O multiple times, with proven experience leading data migration from legacy systems More ❯
data accuracy, consistency, and compliance with business needs throughout the entire migration lifecycle." Strong understanding of data migration principles and best practices. Experience with data extraction, transformation, and loading (ETL) tools and techniques. Experience in delivering D365F&O and integration using Azure services. Successfully migrated Dynamics 365 F&O multiple times, with proven experience leading data migration from legacy systems More ❯
