101 to 125 of 192 ETL Jobs in London

data modelling and SQL Hands-on experience with AWS data stack (or similar cloud platforms) Deep understanding of modern data architectures (lakehouse, warehousing, ETL/ELT) Experience with data governance, quality, and compliance Ability to balance strategic thinking with pragmatic delivery Strong stakeholder engagement skills across business and technology teams ...

controls, and user permissions Work closely with Finance and IT teams to resolve system issues and support BAU operations Manage data flows, integrations, and ETL processes between finance and operational systems Gather and translate business requirements into system enhancements and solutions Lead system testing, upgrades, releases, and user acceptance testing ...

investigative teams Familiarity with ML, LLMs, or automation in regulatory or fraud contexts Experience in data engineering and AI technologies (Added bonus: Python, Azure, ETL) Key Details Location: London (2–3 days/week in office) Sponsorship: Available Salary: £90k–£105k + benefits Tech stack: Azure, Python, GenAI/LLMs ...

JSON, CSV, EDI, Excel Excellent stakeholder engagement and communication skills Ability to work in a collaborative, delivery-focused environment Nice to Have Experience with ETL or integration tools (e.g. DataStage, Palantir) Familiarity with mapping documentation techniques (Excel mappings, UML, BPMN) Knowledge of XSLT or XML transformation tools Exposure ...

and scale high-impact dashboards (Tableau/Qlik) to track revenue drivers and customer health. Data Engineering: Leverage SQL and Python to build scalable ETL processes and ensure seamless data integration. Experimentation: Partner with the Growth team to analyse A/B test results and set performance baselines for future ...

policy administration, finance, and reinsurance processes Ability to work with suppliers/vendors and manage UAT activities effectively Hands-on experience in Data Validation, ETL/Data Migration Testing, and data-driven projects Experience in Web Application Testing and Agile/Scrum delivery models Expertise in Jira and test lifecycle ...

platforms and related capture systems such as Bloomberg, LSEG, ICE, Symphony, WhatsApp, WeCom, Smarsh, Global Relay, Behavox, etc. Experience with Communications data, related schemas, ETL/ELT pipelines, and data integrity standards. Experience with CI/CD pipelines and agile methodologies. Excellent communication and collaboration skills. Desired Knowledge Knowledge ...

with major communication platforms and capture solutions (e.g., Bloomberg, LSEG, ICE, Symphony, WhatsApp, WeCom, Smarsh, Global Relay, Behavox). Experience with communications data structures, ETL/ELT pipelines, and data integrity standards. Strong understanding of CI/CD practices and agile methodologies. Excellent communication and stakeholder‐management skills. Understanding ...

analytical or consulting role. Proficiency in big data manipulation (e.g., SQL, Python). Experience with cloud-based software (e.g., AWS, Snowflake). Familiarity with ETL software (e.g., Alteryx). Strong communication skills and experience of dealing with a range of stakeholders across a business. Eagerness to learn and a passion ...

processing Provide technical leadership and guidance to cross-functional teams, ensuring best practices in data architecture, security, and cloud computing Proficiency in data modelling, ETL processes, data warehousing, distributed systems and metadata systems Utilise Apache Flink and other streaming technologies to build real-time data processing systems that handle large ...

from web analytics, content management systems (CMS), subscription platforms, ad tech, and social media. Proven ability to automate and optimise data workflows , using modern ETL/ELT tools (e.g., Airflow, dbt, Apache Spark) to ensure timely and reliable delivery of data. Experience building robust data models and reporting layers … processes and models. Machine Learning: Take the lead in building out our capability in this area with new models and recommender systems. ETL Development and Infrastructure Building : Build and manage the infrastructure necessary for optimal ETL or ELT of data using Python , SQL , and Google Cloud Platform (GCP) big data ...

strong technical capability combined with the ability to understand business needs and translate them into effective data solutions. Key Responsibilities Build, develop, and maintain ETL/ELT data pipelines and data workflows Apply DataOps and software engineering best practices to deliver robust data solutions Work with stakeholders to understand and … data engineering tools and technologies Skills & Experience Required Strong experience in SQL and Python (or similar programming languages) Solid understanding of data engineering principles, ETL/ELT pipelines, and data workflows Experience with data modelling, data governance, and data quality practices Exposure to cloud platforms such as AWS, Azure ...

fast-moving, highly technical team environment What We’re Looking For Experience with Python, SQL, TypeScript or React Understanding of data engineering & ETL principles Strong communication and stakeholder skills Curious, adaptable, and solutions-focused mindset Palantir experience is a plus, not a requirement This is a great opportunity for someone ...

client management skills Experience leading Oracle Cloud data migration workstreams Solid understanding of Oracle databases, Oracle RDBMS, and Oracle Cloud technologies Good knowledge of ETL processes and tools Strong SQL/PL-SQL skills Experience with data profiling, cleansing, reconciliation, and validation Understanding of database design, data modelling, and architecture ...

data domains, ensuring alignment with enterprise architecture standards Design and implement scalable Master Data Management frameworks and integration patterns Architect data ingestion pipelines and ETL processes integrating multiple source systems into an MDM hub Define matching, merging and survivorship rules to ensure trusted master data Establish data quality frameworks including ...

Essential Strong experience in Systems Integration, Integration Engineering, Application Integration, or a similar technical role. Hands-on experience working with REST APIs, web services, ETL processes, webhooks, and system integrations. Strong troubleshooting and problem-solving skills. Experience working with third-party vendors and technology partners. Ability to communicate technical concepts ...

IDMC Developer to design and implement robust cloud data integration solutions using Informatica IDMC (CDI and CAI). Key Requirements: 6-8 years of ETL/Data Integration experience. 2-3 years of hands-on experience with Informatica IDMC/IICS (Mandatory skill). Proven experience integrating with cloud platforms ...

Technical Skills Strong Salesforce platform knowledge including Apex, Lightning Web Components (LWC), Flows, and APIs. Experience integrating Salesforce with external systems using REST, SOAP, ETL, and middleware technologies. Knowledge of Salesforce security architecture, governor limits, and platform best practices. Experience with DevOps tools such as Git, Copado, Gearset, Jenkins ...

profile! Candidates will have SAP technical background with strong development expertise and data model understanding • 7 + Years of SAP technical experience (ABAP, LSMW, ETL technologies) • Technical experience across multiple SAP ERP modules • 3+ Years delivering SAP data migration projects through the full project lifecycle • Responsibility/Accountability for workstream ...

ability to engage senior decision-makers. Self-starter with strong commercial discipline, resilience, and accountability. Desirable Experience Experience selling business intelligence, analytics, data preparation, ETL, database, or enterprise data warehouse solutions. Knowledge of big data, AI, or modern cloud data platforms. Existing network across large enterprise accounts ...

core languages (Python, SQL, TypeScript and/or REACT) and the capability to pick up others quickly. You should understand data engineering principles, ETL pipelines, and application development Familiarity with Palantir (Foundry, Gotham, or similar) is preferred but not mandatory provided you have a strong willingness to learn High ...

REST API documentation, understand authentication schemes (OAuth, API keys, mTLS), explain webhook patterns. Know the difference between synchronous and asynchronous integrations. Data Architecture: Understand ETL, data lakes, warehouses, JSON/XML payloads, and how data moves between systems. Can scope data volume and throughput requirements. Compliance Infrastructure: Familiar with ...

support analytics, reporting, AI, and machine learning workloads Data Engineering & Platform Development 🔹 Design, develop, and optimize batch and real-time data pipelines 🔹 Build robust ETL/ELT frameworks for data ingestion, transformation, and processing 🔹 Integrate structured, semi-structured, and unstructured data from multiple enterprise sources 🔹 Architect scalable data lake, data … designing and implementing large-scale enterprise data platforms ✔ Strong leadership, stakeholder management, and solution architecture experience Technical Expertise ✔ Programming: Python Java Spark ✔ Data Engineering: ETL/ELT Frameworks Data Pipelines Data Lakes Data Warehouses ✔ Databases: SQL & NoSQL Redshift DynamoDB MongoDB Synapse BigQuery RDS ✔ Cloud Platforms: AWS Azure GCP ✔ Big Data ...

Data Engineer within central government or regulated environments Strong experience with AWS data services , including: Athena , Glue , and S3 Building and managing ETL/ELT pipelines Experience working with Azure data platforms (e.g. Azure Data Lake, Synapse, Data Factory) Strong SQL skills and experience working with large, complex datasets Understanding … governance in secure environments Comfortable collaborating with analysts, architects, and DevOps teams Responsibilities Build and maintain scalable, secure data pipelines across cloud platforms Develop ETL/ELT solutions using AWS Glue , storing and querying data in S3 and Athena Support downstream analytics and reporting, including Power BI consumption layers Ensure ...

and evolve data architecture, engineering standards, tools, and methodologies. Design scalable, secure, and resilient cloud-based data solutions. Oversee the implementation of data platforms, ETL/ELT pipelines, and analytical solutions. Ensure data services meet both functional and non-functional requirements, including security, performance, and scalability. Drive continuous improvement … Expertise Strong experience with AWS cloud services and modern data platforms. Expertise in designing and implementing scalable data architectures and engineering solutions. Experience with ETL/ELT frameworks, data integration, and pipeline automation. Strong understanding of data modelling, data warehousing, and transformation methodologies. Experience supporting data science and machine learning ...