126 to 150 of 156 ETL Jobs in London

enhance Informatica MDM (multi-domain) implementations, upgrades, and optimization. Architect Cloud Data Platforms (Azure/GCP/AWS) leveraging modern data stack (Data Lakehouse, ETL/ELT, streaming). Enable AI/GenAI adoption by designing data foundations for ML, analytics, and intelligent automation. Partner with business and IT leadership … scale data transformation programs . Must-Have Skills & Experience: 15+ years in Data Engineering/Data Architecture/Data Platforms Strong expertise in: Informatica ETL, MDM (Multidomain/Customer 360/Data Governance tools) Cloud Architecture (Azure, GCP, AWS – data services stack) Data Governance tools & framework implementation Enterprise Data Modeling ...

technology investment decisions, build-vs-buy trade-offs and strategic platform direction. Shape the multi-year technology modernisation strategy, balancing the need to extract maximum value from the existing Endur platform with the ambition to adopt cloud-native, event-driven and AI-augmented architectures. ETRM & Endur Platform Architecture Serve … performance SLAs required for real-time energy trading. Design enterprise integration architecture, covering API management, event-driven patterns (Kafka, EventBridge), messaging (JMS, MQ), ETL/ELT pipelines, microservices and service mesh topologies. Champion AI, ML and agentic automation opportunities within the trading technology estate including intelligent scheduling, anomaly detection, automated ...

that support data science and business intelligence use cases. Key Responsibilities Assessing clients' technical needs and managing stakeholder relationships appropriately. Identifying, designing, and implementing ETL/ELT pipelines across on-premise, cloud-based, and hybrid environments, including harvesting, ingesting, integrating, cleansing, migrating, and converting structured and unstructured data. Designing and … across data analysis, extraction, transformation, and loading, with hands-on knowledge of relevant technologies such as Spark, Python, Kafka, SQL, Airflow, and cloud-based ETL services. Experience designing schemas for data warehouses and data marts, assessing data quality issues, and integrating quality checks into pipelines. Knowledge of cloud infrastructure ...

object-oriented design Experience building scalable, high-throughput distributed systems Hands-on experience with Kafka or equivalent event streaming technologies Experience designing and developing ETL/data processing pipelines Strong understanding of APIs, data flows, and service-based architectures Experience working with cloud technologies and modern deployment practices Passion ...

Management Professional to lead the Commodities Data platform in London. You will design and evolve scalable data systems powering Tier 1 datasets, build advanced ETL pipelines, and implement robust data quality controls to ensure accuracy and timeliness across Bloomberg products. You will partner with Product, Engineering and domain experts ...

will own end-to-end data systems, driving data quality, reliability, and scalable workflows across Tier 1 datasets. You will design and modernize ETL pipelines, implement robust monitoring, and define governance practices. Collaboration with Product, Engineering, and data stakeholders is essential to deliver high‐impact solutions that align with Bloomberg ...

doing Leading, mentoring and growing a team of Data Engineers Designing and building scalable data pipelines and cloud based data platforms Developing robust ETL and ELT solutions using Python and SQL Defining engineering standards, data models and best practice Driving CI/CD, automation and modern engineering practices Collaborating with … quality and delivery What you'll bring Strong experience with Python and SQL Expertise building modern data platforms on Azure, AWS or GCP Strong ETL and ELT engineering experience Data modelling and data warehousing expertise CI/CD, Git and engineering best practice Previous experience leading, mentoring or developing engineers ...

Design, develop, and maintain cloud-based data platforms and products. Lead the delivery of data solutions across the full product lifecycle. Build and optimise ETL/ELT pipelines and data processing frameworks. Collaborate with architects, product managers, and engineering teams to solve technical challenges. Produce clear technical documentation and communicate … communication skills and a commitment to mentoring and supporting colleagues. Essential Skills & Experience 5+ years' experience in Data Engineering with a strong focus on ETL/ELT development. Strong proficiency in SQL and Python. Hands-on experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Cloud platform experience ...

seeking an experienced Senior Data Engineer with strong expertise in Informatica PowerCentre, Oracle, and UNIX shell scripting to support critical data warehouse and ETL migration initiatives. The role will focus on migrating legacy SAS-based ETL processes to Informatica, ensuring efficient, scalable, and high-quality data integration within a complex … closely with internal requirements where Informatica PowerCentre (v10.6 preferred), Oracle, UNIX scripting, and SAS migration exposure are essential. Key Responsibilities Design, develop, and maintain ETL pipelines using Informatica PowerCentre (preferably version 10.6) Lead and support migration of SAS-based ETL workflows to Informatica within a Data Warehouse environment Develop and ...

doing Leading, mentoring and growing a team of Data Engineers Designing and building scalable data pipelines and cloud based data platforms Developing robust ETL and ELT solutions using Python and SQL Defining engineering standards, data models and best practice Driving CI/CD, automation and modern engineering practices Collaborating with … quality and delivery What you'll bring Strong experience with Python and SQL Expertise building modern data platforms on Azure, AWS or GCP Strong ETL and ELT engineering experience Data modelling and data warehousing expertise CI/CD, Git and engineering best practice Previous experience leading, mentoring or developing engineers ...

Data Engineer who enjoys solving complex challenges, working with modern cloud technologies and contributing to business-critical projects. Key Responsibilities Design, develop and maintain ETL processes, data pipelines and data integration solutions Support the development and optimisation of cloud-based data platforms using cloud technologies Build and maintain scalable data … multiple systems and platforms Skills & Experience Proven experience working as a Data Engineer or within a Data & Analytics environment Strong experience building and supporting ETL processes and data pipelines Knowledge of cloud-based data platforms Advanced SQL skills with experience querying, transforming and manipulating large datasets Experience with Python ...

Lloyd’s Market Insurer. This is a pivotal role sitting at the intersection of financial data integrity and cloud transformation. You will own the ETL pipeline that underpins monthly, quarterly and year-end close cycles, while simultaneously driving a strategic migration from legacy on-premise infrastructure to a modern, cloud … native data platform. Key Responsibilities Managing and monitoring the ETL pipeline to ensure timely and accurate financial reporting. Acting as the technical point of contact during the Monthly, Quarterly and Year-end Close process. Design and build scalable ETL workflows using Azure Data Factory and Databricks, replacing legacy SSIS pipelines. ...

leveraging modern AWS and data engineering technologies. Key Responsibilities Design, build, and optimise scalable cloud-based data pipelines on AWS Develop and maintain robust ETL processes to support complex data integration requirements Implement and manage Infrastructure as Code (IaC) using Terraform Work within established CI/CD pipelines to enable … Terraform) Experience working with GitLab and implementing CI/CD pipelines Practical experience building data pipelines in AWS (e.g. EMR, PySpark) Solid understanding of ETL tooling (e.g. Informatica or similar) Strong background in data processing and transformation Proficiency in Python and PySpark Essential Requirements Active SC Clearance (must be valid ...

team development and platform strategy. Key Responsibilities Lead and develop a team of data engineers Own the design and delivery of scalable data pipelines (ETL/ELT) Drive improvements in data platform tooling, orchestration and CI/CD Define and enforce engineering standards and best practices Collaborate with architecture … modern cloud data platform Key Requirements Proven experience in a Lead/Senior Data Engineering role Strong handson experience with Snowflake Expertise in ETL/ELT and orchestration tools (e.g. Airflow, dbt, Matillion) Strong SQL and Python skills Experience building scalable data platforms in cloud environments Previous experience leading ...

metadata. Analyse source systems to understand data structures, assess data quality, evaluate data lineage, and perform impact analysis for proposed changes. Validate data models, ETL/ELT pipelines, and warehouse structures against business requirements through testing and User Acceptance Testing (UAT). Partner with business stakeholders, BI developers, data engineers … Agile environments, including user story creation, backlog refinement, sprint planning, and UAT support. Experience with cloud‐based data platforms, particularly Snowflake. Understanding of ETL/ELT frameworks and tools such as dbt and Apache Airflow. Knowledge of data governance, metadata management, and data lineage concepts. Experience supporting Business Intelligence and ...

Extensive experience working with Oracle databases (SQL & PL/SQL) Proficiency in UNIX/Linux shell scripting Proven experience working in Data Warehouse/ETL environments Experience in data integration, transformation, and performance tuning Strong understanding of ETL frameworks, data pipelines, and batch processing Desirable Skills Working knowledge … especially in ETL context) Experience in migrating SAS workloads to Informatica ETLs Familiarity with data modelling (dimensional modelling/star schema) Exposure to scheduling tools (e.g., Control-M, Autosys) Understanding of data governance and data quality frameworks ...

making across complex, high-value programmes. What you'll be doing: Design enterprise data models and integration architecture across multiple business systems. Build scalable ETL/ELT pipelines and API integrations to create a single source of truth. Develop reporting architectures using Microsoft Fabric, Power BI and Azure technologies. Translate … growth. What we're looking for: 10-15 years' experience in data architecture, systems integration or enterprise data platforms. Strong experience with data modelling, ETL/ELT, API integration and data governance . Hands-on expertise with Microsoft Azure, Microsoft Fabric and Power BI . Experience working within project controls ...

Product Development expertise and experience. Proficiency in English language and ability to communicate technical topics in a simple way to a non-technical audience. Extract, Transform, Load (ETL) tool experience (preferred but not required) You have experience with Topline Revenue Forecast modeling (preferred but not required) Skills & Other Qualities Strong ...

marketing automation platforms, analytics, attribution, and enrichment tools. Design data schemas and event tracking plans that support lifecycle use cases and analytics needs. Support ETL and reverse ETL patterns to activate data into downstream destinations. Ensure solutions account for omnichannel transactional and marketing messaging, customer journeys, user states, and event … with Braze and Iterable. 5+ years of software development experience. 5+ years of experience integrating third‐party tools, including involvement in planning and developing ETL solutions. 2+ years of hands‐on experience with a CDP such as Mixpanel, Segment, mParticle, Tealium, Treasure Data, or similar. 2+ years of experience working ...

APIs, microservices, and distributed systems Solid understanding of CI/CD pipelines and DevOps methodologies Experience working in Agile environments Exposure to Data Platforms, ETL pipelines, analytics, or data-driven products would be beneficial Excellent communication and stakeholder management skills Tech Stack Python Flask, Django, FastAPI AWS CI/… Tooling Docker & Kubernetes (desirable) Data Platforms & ETL Pipelines Location Hybrid – Hounslow, West London 2 days per week onsite Flexible hybrid working model Why Join? Competitive salary and comprehensive benefits package Private medical insurance Opportunity to lead a talented and growing engineering team Modern cloud-first technology environment Strong engineering culture ...

data migration into Dynamics 365 for Finance. This role involves working closely with data leads, functional consultants, and architects to design and execute efficient ETL processes, ensuring a smooth transition from legacy systems with an emphasis on accuracy and scalability. Responsibilities Design and build ETL processes and migration solutions. Extract … data leads, functional consultants, and architects. Support cutover, deployment, and post go-live hypercare. Document processes, scripts, and migration runbooks. Requirements Proven experience in ETL and data migration engineering. Exposure to Dynamics 365 for Finance & Operations. Strong knowledge of SQL and data modelling. Experience with integration tools such as Azure ...

days onsite weekly. Daily rate £600–£700 via Umbrella. You will join a migration project to move data to a new platform and design ETL pipelines. The role emphasizes building and optimising data pipelines, handling structured and unstructured data, and leveraging Python or PowerShell within a Financial Services backdrop. #J ...

heavily on Python, containerisation, infrastructure as code, CI/CD and the Azure cloud. We work across the full spectrum of data sourcing and ETL to front‐end delivery. Project areas include the front office and internal tooling. Our short term goals include migrating on‐prem tooling to cloud‐native … feedback, and suggesting features/updates. Contribute to growing engineering standards and practices. Contributing to technical, client‐facing projects, as an example by managing ETL process and/or optimizing algorithm performance for analysis. Contribute to the team ownership of production services, troubleshooting where necessary. Own technical direction, comfortable making ...

onsite.Daily rate £600 – £700 via Umbrella. Responsibilities Join a migration project to move structured and unstructured data to a new platform. Design and develop ETL pipelines. Handle and optimise pipelines, architectures and data sets. Qualifications Experience with Python or PowerShell. Knowledge of handling structured and unstructured data. Experience with ...

clients. You’ll be responsible for creating high‐performance, secure systems with a strong emphasis on data management and analysis. Your work will span ETL pipelines, data backends, and web applications, ensuring their technology can handle the complex modelling requirements of their sustainability analyses. As a Senior Engineer … data backends, query languages, and ORM frameworks. Your expertise should include API design, web application development, and a background in data engineering, particularly with ETL pipelines. While not mandatory, experience with modern cloud technologies and platforms such as AWS, Azure, GCP, Kubernetes and Docker, plus knowledge of or interest ...