101 to 125 of 160 ETL Jobs in London

QUALIFICATION Hands‐on experience with cloud platforms (AWS, Azure, GCP) Experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise‐scale applications. You have team ...

Qualification Hands‐on experience with cloud platforms (AWS, Azure, GCP) Experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise‐scale applications. You have team ...

Hands‐on experience with cloud platforms (AWS, Azure, GCP). Experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow). Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones. ...

least one in serious depth Familiarity with data architecture: warehouses, lakes, lakehouses, streaming, modelling, governance Working understanding of integration patterns (APIs, events, messaging, ETL/ELT, iPaaS) Awareness of security, identity, observability and resilience as architectural concerns Polyglot exposure across modern stacks; able to assess and challenge implementations across languages ...

experience querying large, complex datasets. Proficiency in Python, with experience in advanced analytics techniques, analysing model outputs or supporting ML evaluation workflows. Familiarity with ETL workflows and debugging data issues. Proven experience with experimentation. Hands-on experience with visualisation tools (Looker, Tableau, or similar). Excellent communication skills—able ...

Collaborative & team player, but also able to work independently & autonomously. Pragmatic approach to solving problems while balancing business goals. Experience building integrations. Proficiency with ETL data pipelines. Agentic AI experience. Usage of AI coding assistants (Claude, Gemini, etc.) for the majority of coding tasks. Why Join Dialpad Work ...

designing and evolving data systems that power Tier 1 datasets, improving reliability, reducing technical debt and modernizing legacy workflows. This includes building advanced ETL pipelines, implementing intelligent automation and developing robust data quality controls and monitoring frameworks to ensure data accuracy, completeness and timeliness. In addition, you will play … takes ownership of both data systems and data quality outcomes, and uses modern technologies including AI and machine learning to enhance data workflows and extract additional value from our datasets. We'll trust you to: Build and maintain highly scalable, resilient and observable data pipelines supporting critical Commodities datasets Modernize ...

designing and evolving data systems that power Tier 1 datasets, improving reliability, reducing technical debt and modernizing legacy workflows. This includes building advanced ETL pipelines, implementing intelligent automation and developing robust data quality controls and monitoring frameworks to ensure data accuracy, completeness and timeliness. In addition, you will play … takes ownership of both data systems and data quality outcomes, and uses modern technologies including AI and machine learning to enhance data workflows and extract additional value from our datasets. We’ll Trust You to: Build and maintain highly scalable, resilient and observable data pipelines supporting critical Commodities datasets Modernize ...

Spark within a modern Lakehouse environment. Key Responsibilities Design, develop and maintain scalable data pipelines using Python and Databricks. Build, optimise and support enterprise ETL/ELT workflows using Apache Spark and Delta Lake. Design and develop robust data models and Lakehouse architectures. Implement and manage data workflows within … Extensive hands-on experience with Databricks , including Workflows, Notebooks and Delta Lake. Strong experience with Apache Spark/PySpark . Proven experience building scalable ETL/ELT pipelines. Strong SQL and data modelling skills. Experience designing modern Lakehouse architectures. Experience working with cloud platforms including AWS, Azure or GCP. Experience ...

A specialist bank in London is looking for a Data Engineering Lead to guide a team of data engineers towards becoming fully data-driven. You will own the delivery of data and play a critical ...

Looking For Expert-level SQL + solid Python for product analytics Hands-on A/B testing experience (design + interpretation) Strong understanding of ETL/debugging data issues Excellent communication and stakeholder management skills Commercially-minded with experience balancing user and business needs Bonus: marketplace experience or exposure ...

Unified Architecture (TcUA) expertise BMIDE configuration and deployment experience ITK (C/C++), SOA, RAC and AWC customisation skills Proven Teamcenter data migration and ETL experience TcXML/PLMXML import-export knowledge Strong SQL skills across Oracle and/or MSSQL Experience with Teamcenter APIs and integration frameworks Excellent debugging ...

and a leader who identifies and creates synergy in a group) Knowledge of data conversion strategy Capturing data Creating source-to-target definitions for ETL/data flow process Data quality and database management Good problem solving and insight generation skills Excellent communication skills with technical and non-technical stakeholders ...

working in the finance or tech space Strong experience with AWS Strong technical background, ideally with Python, Java, or C# Extensive experience working with ETL pipelines and large-scale data Proficiency in SQL What’s on Offer 12-month rolling contract with a well-established global firm Opportunity to lead ...

following ecosystem pillars: HTML, CSS, JavaScript, able to build and review high-quality Lightning front-end experiences. REST/SOAP, platform events, MuleSoft/ETL tools, data migration strategy. Opportunity/case management, forecasting, omni-channel routing, or CPQ concepts. Experience Cloud: Partner/self-service portals and digital experience ...

considerations.Advanced integration expertise: end-to-end integration architecture across SaaS-to-SaaS and on-premise systems — API lifecycle management, iPaaS/ESB, MuleSoft, batch ETL/ELT, REST, OData, Kafka, pub-sub and event-driven integration, micro-service and platform integration patterns.Advanced data architecture expertise: operational vs analytical architectures, Master ...

growth. Key Responsibilities Analyse and model structured and unstructured data using logical and physical modelling techniques Design scalable data architectures, including data flows and ETL processes Support modern, cloud-based data platforms and solutions Ensure data quality, governance, lineage, and compliance with regulations (e.g. GDPR) Translate business requirements into data …/or Python Solid understanding of data modelling, normalization, and performance optimisation Experience with data governance, security, and regulatory compliance Hands-on experience with ETL processes, data warehouses, and cloud platforms (e.g. AWS, Azure, GCP, Snowflake) Ability to communicate technical concepts clearly to non-technical stakeholders Desirable: Experience with data ...

technical initiatives, solving complex data challenges and working with modern cloud technologies in a client-focused environment. Key Responsibilities Design, develop and maintain robust ETL processes, data pipelines and data integration solutions across complex environments Build and optimise cloud-based data platforms, ensuring scalability, performance and reliability Develop and maintain … Experience Proven experience working as a Data Engineer within a Data & Analytics, technology or consulting environment Strong hands-on experience designing and building complex ETL processes and data pipelines Experience working with cloud-based data platforms such as Azure, AWS or GCP Advanced SQL skills with the ability to work ...

technical challenges, contributing to architectural decisions and mentoring other engineers within a collaborative and fast-paced environment. Key Responsibilities Design, develop and optimise complex ETL processes, data pipelines and data integration solutions across enterprise environments Lead the delivery of scalable and high-performing cloud-based data platforms Develop and maintain … Senior Data Engineer, Data Engineer or within a Data & Analytics environment delivering enterprise-scale solutions Strong hands-on experience designing and building complex ETL processes and large-scale data pipelines Significant experience working with cloud-based data platforms such as Azure, AWS or GCP Advanced SQL expertise with experience working ...

that link project outputs to the organisation’s strategic objectives. Role specific skills Full-Stack Analytics Engineering: Mastery of the lifecycle from data ingestion (ETL/ELT) to front-end visualization. Business Systems Analysis: Ability to map technical project metadata to financial value metrics. Stakeholder Communication: Experience in translating technical … transformation and multiple technology architecture domains. Advanced proficiency in Power BI and/or Microsoft Fabric to create professional grade executive dashboards. Experience with ETL tools, scripts, and data storage methods (Data Warehousing/Data Lakes) used for performance analytics. Experience with cloud technologies such as SaaS, IaaS, PaaS etc. ...

data processes, and reporting. Key Responsibilities Design, develop, and maintain solutions within the Tagetik platform Build and enhance Analytical Workspace components Develop and manage ETL (Extract, Transform, Load) and DTP processes within Tagetik Create and optimize Tagetik Excel reports , including: Matrix Reports SQL Query Reports Write, optimize, and troubleshoot … financial and reporting solutions Required Experience Minimum 2+ years of Tagetik development experience in a live production environment Strong expertise in: Tagetik Analytical Workspace ETL and DTP development within Tagetik Tagetik Excel reporting (Matrix & SQL-based) Solid working knowledge of SQL , including coding and troubleshooting Proven hands-on development experience ...

This is not a paper-architect role. The successful candidate will pick up an in-flight, multi-year programme to decouple and replatform the ETL processes that sit behind every report and every operational data feed at ECP, continue the migration of our data warehouse and data lake …/ODS layers, dimensional model, audit and schema-change tracking, and the load schedules that tie them together. Hands-on T-SQL, stored procedure, ETL framework and PowerShell development at expert level partition design and partition-aligned indexing, clustered/nonclustered index strategy, deduplication, parallel-run cutovers, schema migration, performance ...

incremental load patterns. Implement efficient, robust ETL code and adhere to best practices and coding standards. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using Apache Airflow, Spark, SQL, Python, and ETL tools. CI/CD & DevOps Design and implement … and validations. Integrate CI/CD with Git, Jenkins, Azure DevOps, or GitHub Actions. Enforce version control, code reviews, and branching strategies. Design and develop ETL workflows and data integration strategies. Team & Stakeholder Management Mentor developers and reviewers on best practices. Coordinate with architects, QA, DevOps, and business teams. Provide ...

setting up and configuring SAS environments from an architecture and platform perspective. - Solid understanding of SAS architecture, administration, and enterprise deployment models. - Experience with ETL design and data integration architecture. - Knowledge of Oracle and integration with enterprise database platforms. - Understanding of networking infrastructure and how it supports enterprise analytic platforms. ...

prem and cloud environments Experience integrating GIS platforms with OSS/BSS, asset management and enterprise data platforms Strong understanding of APIs, microservices, ETL pipelines and event-driven architectures Experience with geodatabase design, versioning, network rules and data governance Knowledge of Azure and/or AWS cloud environments Ability ...