1 to 25 of 34 ETL Jobs in the City of London

enterprise-wide data governance policies and regulatory standards. Data pipeline automation and orchestration: Experience with Foundry's Pipeline Builder for designing, developing, and automating ETL processes that ensure the availability of clean, curated data for business analytics and decision-making. Code development, testing, and deployment in Foundry: Demonstrated ability ...

/PII compliance Partner with analytics, MarTech, and marketing teams to align data solutions with business needs Requirements Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory) Experience with cloud data platforms (e.g., Azure, AWS, or GCP) Proficiency in data modelling ...

unable to work at home 100% of the time. Your Role: Design, develop, and optimize Hadoop-based data ingestion and processing pipelines. Build ETL/ELT workflows using Spark, Hive, Sqoop, Kafka, and other big data tools. Integrate data from banking, trading, payments, risk, and customer management systems. Ensure data ...

Base SAS SAS Macros SAS SQL Data Step programming SAS Enterprise Guide or SAS Studio Experience with large datasets, data warehousing concepts, and ETL workflows. Strong analytical and problem solving abilities. Experience with code testing, validation, and quality control. Solid understanding of data structures, metadata, and data governance. ...

Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ecosystem (data lakes, ETL/ELT pipelines) would be a strong advantage. Working across Data Engineering and Data Governance teams, youll help shift the organisation from reactive issue resolution ...

Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ecosystem (data lakes, ETL/ELT pipelines) would be a strong advantage. Working across Data Engineering and Data Governance teams, youll help shift the organisation from reactive issue resolution ...

insights. Key Responsibilities Data Pipeline Development & Optimisation Design, develop, and maintain scalable and reliable data pipelines. Build ETL/ELT solutions to ingest, transform, and load data from multiple sources, including APIs, databases, and external data providers. Optimise pipeline performance, scalability, and cost efficiency. Implement data quality controls, validation processes ...

modern data engineering practices, cloud platforms (Azure), and a passion for building intelligent, data-driven solutions. Key Responsibilities Design and develop real-time and ETL/ELT data pipelines integrating multiple data sources (APIs, databases, flat files). Support the development and maintenance of a scalable data warehouse for reporting … governance, security, and compliance . Required Qualifications 4–5 years of experience in Data Engineering or similar roles . Hands-on experience in building ETL/ELT data pipelines . Strong proficiency in Python for data manipulation and automation. Solid SQL skills for querying and managing data. Experience with Azure ...

Engineering function, shaping architectural direction, ensuring engineering excellence, and partnering with Technology, Architecture, and Business teams across the organisation. Tech Stack SQL Oracle Python ETL Background: The bank is migrating from an on-premise Oracle estate to a modern data platform built on cloud and Databricks. This role leads ...

skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Lead Data Engineer, Senior Data Engineer, Data Engineering, Python, SQL, ETL, Data Pipelines, Cloud, AWS, Azure, GCP, Data Architecture, Data Modelling, Data Warehousing, Distributed Systems, Big Data, Agile. ...

modeling - ERStudio Message-oriented data movement API design and access Data Analytics and AL/ML - AzureML Data virtualization Streaming data Data integration and ETL/ELT Tools - Matillion, Alteryx, Qlik PowerBI Machine Learning, Generative AI and Agentic AI. Strong experience Must have prior experience with end-to-end implementation ...

technical audienc es.Experience within Financial Services or Insuran ce.Strong problem-solving and analytical capabili ty. Desir ableExperience with Alteryx, Qualtrics or other ETL to ols.Knowledge of Power Autom ate.SharePoint and Power BI administration experie nce.Insurance industry qualifications (e.g., AC II). What Success Looks LikeDelivering high-quality reporting and dashbo ...

organisation through training and internal champions Ensuring GDPR compliance and robust data security controls throughout Essential Experience: Solid, hands-on understanding of data warehousing, ETL/ELT processes, data modelling and Medallion architecture Experience managing vendors delivering hosted or managed data warehouse solutions Ability to design and implement governance frameworks ...

with architects, analysts, developers, and business stakeholders to deliver reliable and maintainable data solutions. Key Responsibilities Data Pipeline Development Design, develop, and maintain robust ETL/ELT pipelines using Informatica and cloud-native technologies. Build scalable data ingestion, transformation, and delivery processes that support operational and analytical use cases. Cloud ...

data management tools (e.g., Collibra, Alation, Informatica). Strong analytical skills (SQL, Excel; Python is a plus). Understanding of data architecture, lineage, and ETL processes. Soft Skills Excellent stakeholder and communication skills. Ability to drive change across global, matrixed organizations. Strong problem-solving and structured thinking. ...

responsible AI controls Good understanding of key Azure services such as Virtual Machines, Active Directory, Automation, and related cloud infrastructure Experience building and supporting ETL and workflow pipelines using Azure Data Factory, Databricks workflows, or similar Experience with containerisation and orchestration tools such as Docker and Kubernetes Experience with version ...

Analytics, Mathematics, or related field.Actuarial Knowledge: Strong understanding of Commercial Insurance actuarial concepts (e.g., reserving methods, pricing tools)Data Proficiency: Experience with data environments, ETL and visualization toolsLeadership: Demonstrated experience leading Agile teams and managing product backlogs.Soft Skills: Excellent communication skills, with the ability to translate technical concepts ...

staff engineer role - Python and TypeScript/Node, with solid React/Next.js and NestJS/FastAPI experience - PostgreSQL, including schema design, query performance, ETL/ELT, and analytical workloads at scale - LLM/AI features shipped to production users, covering evals, guardrails, prompt versioning, and cost control - LangChain and ...

maintain service continuity while sharing knowledge Skills and experience: • Proven hands-on experience with the Quantexa platform• Strong data engineering background (pipelines, data modelling, ETL)• Experience with data profiling and optimisation techniques• Familiarity with APIs for data access and integration• Ability to work closely with stakeholders in a delivery-focused ...

Analyse and understand source data structures within legacy healthcare systems to design robust transformation, cleansing, and validation strategies. Solution Delivery: Support the development of ETL processes and data pipelines to ensure absolute data integrity and clinical safety compliance. Problem Solving: Proactively identify, triage, and resolve intricate data quality issues during ...

technical designs. Professional Experience required Good experience with Collibra in a development or integration role. Preferred Qualifications Collibra Professional Certification(s). Experience with ETL tools (Informatica, Talend, etc.) or data integration frameworks. Knowledge of data cataloging, metadata management, and data stewardship practices. Exposure to cloud platforms (Azure preferred) and ...

like GCP/Azure. Data & AI Knowledge: Deep understanding of modern data architecture, Machine Learning, and AI tools. Experience in largescale data migrations with ETL toolsets, DataStage decommissioning paths, or modern data movement patterns is beneficial. Architecture & Stakeholder Leadership: Design orchestrations and technical patterns for agentic AI , LLM based systems ...

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 ...

Fixed Income/Currencies/Sales/Trading data Worked closely with front-office stakeholders Data Architecture/Engineering Awareness Understanding of data pipelines, ETL, reporting layers Exposure to data platforms (DWH, cloud, big data) Data Analysis & Root Cause Skills Hands-on experience in analyzing large datasets Proven ability ...

applications in a cloud environment, ideally Azure Hands on expertise with LLMs, prompt engineering, and agent based workflows Solid grounding in data engineering including ETL, orchestration, and working with large datasets Experience building scalable, reliable systems with strong deployment and testing practices Ability to communicate technical concepts clearly ...