476 to 500 of 1,216 ETL Jobs in England

warehousing (e.g. Snowflake, BigQuery, Redshift) Nice to have Experience developing in a BI tool (Looker or similar) Good practical understanding of version control SQL ETL/ELT knowledge, experience with DAGs to manage script dependencies Python coding skills, particularly in the areas of automation & integrations Good knowledge of the Looker ...

looking for: Experience working with SQL/Snowflake or other modern data platformsStrong, modern Python development experience. Some experience building and maintaining data pipelines, ETL processes, or data-intensive backend servicesA collaborative working style and clear communication across technical and non-technical stakeholders. A keen desire to want to learn ...

Experience working with SQL/Snowflake or other modern data platforms Strong, modern Python development experience. Some experience building and maintaining data pipelines, ETL processes, or data-intensive backend services A collaborative working style and clear communication across technical and non-technical stakeholders. A keen desire to want to learn ...

experience supporting operational, analytical or historical reporting workloads. Experience with cloud-native data technologies or modern data platform tooling. Experience with Data Orchestration/ETL processes. Understanding of data governance, metadata management, data quality and data lineage practices. Awareness of AI-assisted tooling and its responsible use within data engineering ...

based systems. Familiarity with programming languages (Python, JavaScript, or similar) and system integrations using APIs. Data & Automation: Strong analytical skills with experience managing BigQuery, ETL processes, or cloud-based analytics, alongside BI/reporting tools. Communication: Able to support both technical and non-technical users patiently and clearly, design complex ...

Contribute to Disaster Recovery planning and platform resilience. Implement Identity and Access Management (IDAM) and enterprise security architecture. Support data architecture using Databricks, Snowflake, ETL pipelines, and Big Data tools. Champion Data Governance practices including classification, cataloging, and lineage. Ensure compliance with ISO 27001, GDPR, PCI DSS, and other security ...

and curation for large-scale datasets Preferred Qualifications Knowledge or interestin investment banking or financial instruments Experience with big data concepts, such as Lakehouse, ETL data pipelines (e.g. Spark, AWS Glue) Experience with near real time and event-based systems like Kafka Goldman Sachs Highlights At Goldman Sachs, we commit ...

agent workflow concepts. Experience or coursework involving machine learning algorithms and applying them to practical or real-world problems. Familiarity with APIs, data pipelines, ETL processes, cloud environments, containerized development, model deployment patterns, or monitoring. Awareness of CI/CD, version control, testing, code reviews, Agile development, and collaborative software ...

data that enhance user experience and compliance.ðWhat Makes This Role Unique? Implementation & Client Management: Lead client onboarding processes and manage data acquisition while overseeing ETL operations. Data-Driven Insights: Analyze T&E data to identify trends and create custom reports that resonate with stakeholders. Agile Project Management: Collaborate on sprint ...

considerations.2+ year experience supporting operational, analytical or historical reporting workloads.Experience with cloud-native data technologies or modern data platform tooling.Experience with Data Orchestration/ETL processes.Understanding of data governance, metadata management, data quality and data lineage practices.Awareness of AI-assisted tooling and its responsible use within data engineering and architecture.QualificationsNot ...

Azure) and containerisation tools (e.g., Docker, Kubernetes). Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines). Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI) Strong problem-solving abilities, with the capacity to learn quickly and adapt in a fast-paced ...

including audit trails, confidence scoring, and human‐in‐the‐loop controls. Background in traditional ML or data engineering, including feature pipelines, model training, and ETL, is preferred. MongoDB or other NoSQL database experience is preferred. Prior exposure to insurance domain concepts such as underwriting, claims, and policy administration is preferred. ...

and analytics tools). Experience operationalizing customer data as governed data products, including audience and segment-definition in SQL or natural language (Genie), reverse-ETL and activation pipelines, and metric, identity and consent governance in Unity Catalog. Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations ...

data warehouse (e.g. BigQuery ML/Gemini, Snowflake Cortex or similar) Experience modelling CRM and lifecycle data (e.g. Klaviyo, HubSpot) or working with reverse‐ETL tools (e.g. Hightouch, Census) Web analytics experience with tools like Google Analytics Experience with the Lightdash CLI or other BI‐as‐code workflows ...

experience supporting operational, analytical or historical reporting workloads. Experience with cloud-native data technologies or modern data platform tooling. Experience with Data Orchestration/ETL processes. Understanding of data governance, metadata management, data quality and data lineage practices. Awareness of AI-assisted tooling and its responsible use within data engineering ...

preferred, as HubSpot is and will remain the primary source of data Hands-on experience with at least one iPaaS, Master Data Management or ETL/ELT platform (for example Workato, Celigo, Boomi, Tray.io, Informatica, MuleSoft or Syncari). Syncari-specific experience is not required, and structured onboarding and ramp ...

Data Ingestion & Streaming (Kafka or similar), SSO, LDAP, IT Security, Agile, etc. Experience in industry with experience to work on Python, SQL, data pipelines & ETL processes for large volumes of data is a plus. Knowledgeable about security and compliance topics for enterprise applications. Solid experience with project management, outstanding customer ...

SDK. Familiarity with MCP (Model Context Protocol) or similar standards for connecting AI models to external tools and data sources Basic data pipeline or ETL experience feeding data into AI systems Awareness of AI specific security, compliance, and governance considerations (data handling, model risk, responsible use policy), particularly relevant given ...

processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and ...

processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands‐on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and ...

automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside ...

automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside ...

automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside ...

strong advantage. Additional qualifications preferred: Celonis Certifications and Experience with OCPM and Case Centric Data Pipelines. AWS/Azure/GCP Certifications. ESB/ETL Certifications (Mulesoft, Oracle, SAP, Talend, Informatica).TOGAF/Zachmann Certification. Experience in at least two domains among: Finance, Manufacturing, Supply Chain, Customer/Consumer Management ...

complex datasets Strategic thinker, comfortable structuring a nebulous problem statement and working it through to a clear recommendation Working knowledge of Python Familiarity with ETL workflows and debugging data issues Proven experience with A/B testing design and interpretation Hands-on experience with visualisation tools (Looker, Tableau, or similar ...