351 to 375 of 832 ETL Jobs in the UK

modern data engineering technologies Practical experience developing Production-scale Cloud-native data engineering solutions in commercial environments Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps stack Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g. ...

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 ...

least 3 years in a supervisory capacity.* Strong track record of delivering integrated application solutions and data strategies.* Experience with data governance frameworks, ETL tools, and middleware platforms.* Familiarity with Aztec’s key platforms (e.g., eFront, Yardi, Viewpoint, Blueprint, Fenergo, Investran, Medius and client-facing portals)* Previous practical IT Application ...

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. ...

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 ...

platforms (AWS, GCP, or 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 ...

Delta Lake. Advanced Data Modeling: Deep expertise in Medallion Architecture patterns, Star Schemas, and processing semi-structured financial data logs (JSON/Avro).Robust ETL/ELT Orchestration: Expert proficiency in data transformation engines (such as dbt) and scheduling tools (such as Airflow).Stream/Message Queues: Solid understanding ...

experience in Computer Science, Information Technology, or a related fieldStrong problem-solving skills and a keen eye for detailExperience managing databases and working with ETL toolingExcellent communication and interpersonal skillsThe ability to work independently as well as collaboratively within a teamA track record of learning and adapting to new technologies ...

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 engineering foundation Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider Experience building data pipelines and ETL/ELT processes at scale, including web scraping or automated data collection A solid understanding of the ML lifecycle, from data through to model training ...

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 ...

data engineering foundation Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider Experience building data pipelines and ETL/ELT processes at scale, including web scraping or automated data collection A solid understanding of the ML lifecycle, from data through to model training ...

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 ...

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 ...

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 ...

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 ...

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 ...

that is large request volumes, large data volumes, or both. Deep expertise in distributed data systems: streaming (Kafka or similar), batch and ELT/ETL frameworks (Spark, Flink, dbt, Airflow or Argo Workflows), and modern lakehouse or warehouse technologies. Strong production Python experience and awareness of other relevant languages (Java ...

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 ...