251 to 275 of 633 ETL Jobs in London

best solutions for the future state architecture Knowledge of some Data Management technologies such as Relational and Columnar Databases, and/or Data Integration (ETL) or API development. Knowledge of some Data Formats such as JSON, XML, and binary formats such as Avro or Google Protocol Buffers. Experience collaborating with ...

documentation. Understanding of data governance and compliance requirements. Knowledge of supply chain data structures and PLM systems highly desirable. Experience with data mapping and ETL processes. Proficiency in data analysis and ability to assess data quality and completeness. Personal attributes and qualities Client-focused mindset with strong relationship-building capabilities. ...

demonstrating a keen understanding of reporting processes. Knowledge of Python and experience in automating reporting processes to enhance efficiency. Understanding of data warehousing and ETL concepts, as well as familiarity with tools such as Splunk and production support tooling. Awareness of regulatory and risk reporting processes, ensuring all necessary compliance ...

Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analyticsStrong presentation and demo skills — you will build and present ...

demonstrate the ability to transfer that knowledge into an Azure environment. Experience with high‐availability infrastructure, PostgreSQL or MongoDB, AI/ML infrastructure, ETL/data pipelines, FinOps or SOC 2/ISO 27001 environments would be a bonus. Above all, we’re looking for someone who enjoys automating away ...

Data & Cloud SQL/NoSQL databases — Snowflake Cloud platforms: AWS (S3, RDS, Glue), Azure (ADLS, Purview), GCP (BigQuery) Data cataloguing tools — Collibra, Alation, Informatica ETL pipelines and data lineage concepts Security & Privacy SIEM/DLP tools integration (Splunk, Microsoft Purview) Identity & Access Management basics (IAM, RBAC) Encryption, tokenization, and data ...

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 ...

SparkTM, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations - discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics Strong presentation and demo skills - you will build and present ...

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 ...

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 ...

best solutions for the future state architectureKnowledge of some Data Management technologies such as Relational and Columnar Databases, and/or Data Integration (ETL) or API development. Knowledge of some Data Formats such as JSON, XML, and binary formats such as Avro or Google Protocol Buffers. Experience collaborating with business ...

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 ...

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 ...

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. ...

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 ...

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 ...

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 ...

SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private AI, Nvidia AI Enterprise, Dell AI Factories) Understanding of data engineering practices (ETL, data lakes, big data tools like Spark). Knowledge of designing scalable, distributed systems. Familiarity with model lifecycle management and MLOps practices. Ability to align ...

Data Engineer (Associate Manager), you will: Design and develop scalable data solutions using Microsoft Azure and Microsoft Fabric. Build data pipelines and ETL/ELT solutions using Azure Data Factory, Databricks and/or Synapse. Develop data processing solutions using SQL, Python and PySpark. Design and optimise data lakes, lakehouses … Fabric, Databricks and/or Synapse. Strong SQL, Python and/or PySpark skills. Experience with Azure Data Lake/OneLake, data modelling and ETL/ELT. Understanding of data governance, security and enterprise data architecture. Proven experience managing technical delivery and engineering teams. Strong Agile, stakeholder-management and client ...

Data Engineer (Associate Manager), you will: Design and develop scalable data solutions using Microsoft Azure and Microsoft Fabric. Build data pipelines and ETL/ELT solutions using Azure Data Factory, Databricks and/or Synapse. Develop data processing solutions using SQL, Python and PySpark. Design and optimise data lakes, lakehouses … Fabric, Databricks and/or Synapse. Strong SQL, Python and/or PySpark skills. Experience with Azure Data Lake/OneLake, data modelling and ETL/ELT. Understanding of data governance, security and enterprise data architecture. Proven experience managing technical delivery and engineering teams. Strong Agile, stakeholder-management and client ...

availability, integrity and performance of enterprise data platforms. Key Responsibilities Design, develop and maintain Oracle-based data solutions and data pipelines. Build and optimise ETL/ELT processes to support business intelligence and analytics requirements. Develop and maintain Oracle databases, schemes, stored procedures, functions and packages. Ensure data quality, governance … where required. Produce technical documentation and contribute to best practice standards. Essential Skills & Experience Strong experience working with Oracle Database technologies. Proven experience in ETL development, data integration and data migration projects. Strong SQL and PL/SQL development skills. Experience designing and maintaining large-scale data warehouses and data ...

batch data platforms that unlock data across TripadvisorETL pipelines and data models serving terabytes and growing datasets in Snowflake, BigQuery, and HiveOrchestration, scheduling, and ETL generation tools to support cloud migrations and petabyte-scale operationsTracking instrumentation, information architecture, and data governance tooling for business-critical analyticsSelf-service and agentic analytics … models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization. Design, build, and maintain robust ETL/ELT data pipelines that process terabyte- to petabyte-scale data across Snowflake, BigQuery, and other platforms. Design, build and maintain streaming and batch systems ...

solutions on the Databricks Lakehouse Platform Strong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practices Experience building and optimizing Extract, Transform, Load and Extract, Load, Transform data pipelines for scalable analytics and artificial intelligence use cases Proven knowledge of data modeling, data governance, data quality ...