426 to 450 of 628 ETL Jobs in London

APIs and data Strong communication skills and confidence working with both technical and marketing teams Nice to have: BigQuery or equivalent data warehousing experience ETL platforms such as Funnel or Adverity Experience pulling and transforming data through APIs Hands-on experience integrating AI into tools and workflows, including LangChain ...

Additional Information: The role does not include front‐end responsibilities, as the current front‐end is managed internally. No requirement for data pipeline or ETL experience, as the focus is on SaaS deployment capabilities. B2B structure is acceptable if the engagement mirrors that of an employee. This is a unique ...

processes. Monitor support channels and respond to user issues. Data Ops Engineers will have: At least 2 years' professional experience in financial Data SQL ETL concepts ERP Systems Python or Powershell STEM or accounting degree Ideally some understanding of financial accountingThe environment is that of Facebook or Google, relaxed open ...

processes. Monitor support channels and respond to user issues. Data Ops Engineers will have: At least 2 years' professional experience in financial Data SQL ETL concepts ERP Systems Python or Powershell STEM or accounting degree Ideally some understanding of financial accountingThe environment is that of Facebook or Google, relaxed open ...

related field, or equivalent experience. Experience supporting and transitioning legacy systems during major technology migrations. Good knowledge of enterprise architecture, system integrations, APIs, ETL and data governance. Proven ability to lead technical teams and manage multiple projects simultaneously. Benefits of ERP Applications Manager : Hybrid -4 days in office Annual leaves ...

back integration - Consolidate the full trading to settlements lifecycle into a unified platform. Responsibilities include: Develop Java server-side/UI components and Python ETL pipelines. Build integrations with external vendors and market data providers. Work directly with traders and operations teams to deliver solutions. A great opportunity ...

back integration- Consolidate the full trading to settlement lifecycle into a unified platform. Responsibilities include: Develop Java server-side/UI components and Python ETL pipelines. Build integrations with external vendors and market data providers. Work directly with traders andoperations teams to deliver solutions. Own the design and delivery ...

code generation patterns and the development or use of code generators. Familiarity with data management technologies such as relational or columnar databases, data integration (ETL), or API development Familiarity with data formats such as JSON, XML, Avro, or Google Protocol Buffers Comfort engaging with the algorithms and mathematics behind languages ...

Python A degree in Computer Science, Engineering, Mathematics, a similar field of study, or equivalent work experience Experience building and maintaining data pipelines or ETL workflows Good system design and architecture skills Experience working with large distributed systems Experience of working with Kafka pipes Experience of working with high volume ...

features end-to-end, from backend services and APIs (i.e. billing, pricing, forecasting) through to the user-facing flows on top of them Build ETL pipelines to integrate with third-party systems and data sources (smart-meter/HHD feeds, market/price data, network tariff tables) with attention ...

flows, and technical artifacts.* Knowledge of API patterns (REST/SOAP/Bulk/Platform Events) and experience integrating Salesforce with different business systems (ETL, middleware, legacy CRM).* Strong communication and presentation skills, both written and verbal; able to effectively develop technical materials and articulate a rationale that ...

systems Familiarity with GPUs, Kubernetes, and OS internals Experience with language modeling using transformer architectures Knowledge of reinforcement learning techniques Background in large-scale ETL processes You'll thrive in this role if you: Have significant software engineering experience Are results-oriented with a bias towards flexibility and impact Willingly ...

flows, and technical artifacts. Knowledge of API patterns (REST/SOAP/Bulk/Platform Events) and experience integrating Salesforce with different business systems (ETL, middleware, legacy CRM).Strong communication and presentation skills, both written and verbal; able to effectively develop technical materials and articulate a rationale that is appropriate ...

share knowledge, collaborate, and solve problems together. What You’ll Do Design and develop scalable, repeatable data pipelines (ETL/ELT) to process, transform, and load archival data. Automate data cleansing, validation, standardisation, and enrichment. Develop and document schemas, ontologies, and models for archival data. Integrate data from diverse sources … Data Scientist role. Key Responsibilities Data processing and pipelines Design and develop scalable, repeatable data pipelines (ETL/ELT) to process, transform and load archival data. Create scripts and tools for data cleansing, validation, standardisation, enrichment, and transformation. Automate routine data tasks to improve efficiency, accuracy, and consistency. Identify and ...

cloud services (Azure, GCP and AWS). A media agency or marketing data backgroundis essential for this role. Own delivery of new and existing ETL pipelines, and data engineering projects for the agency and wider group Work collaboratively with media teams and other business partners to make sure data … experience Experience working in a media agency, or with media and marketing data (both digital and non-digital) Experience and understanding of how APIs extract data from various platforms Experience briefing, designing and implementing ETL solutions end-to-end, from requirements gathering through to deployment Experience with data orchestration tools ...

flexible, scalable technology and proprietary systems that support advanced analytical and trading capabilities. What You'll Do Design, implement, and maintain end-to-end ETL workflows in Python and SQL to ingest and transform commodities data from multiple vendor and internal sources. Build and maintain standardized data models, schemas, and … based on evolving business needs. What You Bring 5+ years of experience in data engineering, analytics engineering, or a similar role building and maintaining ETL pipelines. Strong Python and SQL skills, including experience working with large datasets and complex data transformations. Hands-on experience with Airflow or comparable workflow orchestration ...

processes to ensure data integrity, accuracy, and audit-ready change management. Partner with Business Intelligence and Systems Analytics teams to shape Data Warehouse architecture, ETL workflows, and scalable infrastructure that supports reliable downstream analytics. Translate complex commercial contracts into structured, reusable data constructs that integrate cleanly into operational systems and … related field, including experience leading and developing high-performing analytical teams. Deep hands‐on experience in database building, schema design, database maintenance, data warehousing, ETL processes, and advanced SQL querying across very large and complex data environments. Proven ability to identify, evaluate, and implement tools and technologies that consolidate disparate ...

and AI integration while driving reliability, performance and security for enterprise-scale systems.ResponsibilitiesDesign and implement robust data architectures using cloud-native technologiesBuild large-scale ETL/ELT workflows to process heterogeneous datasetsCreate data models optimized for AI/ML pipelines and advanced analyticsDevelop streaming and batch pipelines leveraging tools like … PySpark for distributed data processingHands-on experience with Databricks, including Delta Lake and performance optimizationKnowledge of Azure Data Factory for orchestration of pipelines (ETL/ELT)Familiarity with AI/ML pipeline development, including integration of models into productionDemonstrated exposure to Gen AI-assisted development workflows for accelerating data engineering ...

What You'll Be Doing Designing, building and maintaining scalable Snowflake data solutions for risk, finance and regulatory reporting Building and optimising ELT/ETL pipelines and reusable dbt transformation frameworks Developing Python-based processing, automation and integration, and designing dimensional and analytical data models Tuning Snowflake queries and workloads … suit candidates who have held roles including: Snowflake Developer, Snowflake Data Engineer, Senior Data Engineer, Data Warehouse Developer, dbt Developer, Analytics Engineer, Senior ETL Developer, Data Platform Engineer Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate ...

high-performing team of data engineers. Design, build, and maintain scalable, reliable, and efficient data pipelines and architectures. Oversee the development and implementation of ETL/ELT processes, data warehousing, and data lake solutions. Collaborate with stakeholders to understand business requirements and translate them into technical data solutions. Ensure data … data engineering or software engineering roles, with at least 3 years in a leadership/management position. Strong expertise in data pipeline development, ETL/ELT processes, and data warehousing solutions. Proficient with cloud platforms (AWS, GCP, Azure) and big data tools like Apache Spark, Python, etc. Experience with relational ...

candidate would be: Working in an agile scrum team to design and build data feeds and related applications Writing, testing and peer review of ETL code in Oracle ODI, dbt, Snowflake and AWS. Working with business users to design and configure self-serve data environments within our data warehouse and … Willingness to take part in overnight support rota Minimum Criteria You’ll need all of these. Experience of building a data warehouse using an ETL/ELT tool, preferably Oracle ODI or dbt Significant database experience in Snowflake and/or Oracle Star schema/dimensional modelling. Excellent SQL skills ...

ETL Data Engineer – Fintech To 75,000 West LondonQuant Capital is urgently looking for an ETL Data Engineer to join our high profile client. Quant Capital is urgently looking for an ETL Data Engineer to join or well known Fintech50 client who produces software disrupting the wealth management market. Currently … cloud environment Data Analysis Data modelling The Data Engineer Must have: Comp Sci or Engineering Degree Experience in building complex data pipelines/ETL/ELT scripts Extensive experience with SQL Excellent knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDS Experience with Data Warehouse ...

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 ...

UBDS Group seeks an experienced Senior Data Engineer to design, build and deliver scalable data platforms within AWS. You’ll mentor engineers, guide patterns, and collaborate with architects and security professionals to ensure secure, resilient ...

perform Quality Assurance checks according to the project and industry standards Ability to coordinate and manage own workload support project delivery Familiarity with ETL tools like FME and GIS integrations Excellent communication and engagement skills Understanding of construction processes, asset lifecycles and industry regulations and standards Experience in large infrastructure ...