151 to 175 of 414 ETL Jobs in the UK

architecture frameworks and methodologies (e.g. TOGAF, Zachman) Broad knowledge of enterprise data technologies, including lakehouse and medallion architectures, legacy data platforms and data engineering (ETL, ELT, CDC) Experience working within large, complex or highly regulated organisations In return, you can expect a flexible working culture, including: Non-contributory career-average ...

architecture frameworks and methodologies (e.g. TOGAF, Zachman) Broad knowledge of enterprise data technologies, including lakehouse and medallion architectures, legacy data platforms and data engineering (ETL, ELT, CDC) Experience working within large, complex or highly regulated organisations In return, you can expect a flexible working culture, including: Non-contributory career-average ...

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 ...

supporting large‐scale transformation programmes with multiple parallel workstreams Technical Skills Experience working with modern data platforms such as Snowflake Experience of ELT/ETL Strong understanding of analytics and reporting tooling (e.g. Power BI) Solid grounding in data integration patterns and data pipeline design Desirable Exposure to data governance ...

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. ...

perspective will lie with the Technical Product Owner. Data Platform Ownership Coordinate the delivery and maintenance of:Data Warehouse Management (Snowflake), Batch & Real-Time ETL Pipelines Ensure all data pipelines are reliable, performant, and aligned with defined SLAs. Advocate for data quality, consistency, and documentation across the DE ecosystem. Collaboration ...

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 ...

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 ...

curation for large-scale datasets Preferred Qualifications Knowledge or interest in 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 ABOUT GOLDMAN SACHS At Goldman Sachs, we commit ...

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. ...

issues within data sets and propose solutions. Proficiency in data analysis tools such as advanced MS Excel, SQL, Python, SAS, and R. Understanding of ETL, data management, and data quality best practices. Familiarity with cloud technologies and APIs. Required Knowledge And Experiences What's In It For you? At TransUnion ...

What skills & qualifications you will need: Strong understanding of data migration tools and methodologies, such as SAP Migration Cockpit, BODS, LSMW, or third party ETL tools. Strong grounding in data architecture, data modelling, data cleansing and data integration patterns. Proven ability to manage complex cutover activities from a data perspective ...

Analytics, 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 ...

with enterprise applications, including relational databases (SQL Server/Oracle), data warehouses, OMS/EMS, risk, and portfolio systems. Strong technical skills: SQL, ETL/data modelling, stored procedures, data ingestion, messaging systems. Excellent communication skills: capable of consulting with business stakeholders and translating business requirements into robust technical specifications. ...

drive consistent definitions and controlled change. Data Quality Architecture & Pipelines Embed data quality rules and dimensions (completeness, timeliness, accuracy, uniqueness, validity, consistency) across ETL/ELT and streaming pipelines. Design data quality metrics, alerts, and monitoring frameworks to surface quality issues to stewards and downstream consumers. Partner with engineering teams ...

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 ...

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 ...

maintain configuration-driven solutions using YAML and JSON-based frameworks. Monitor, troubleshoot, and optimise production pipelines using observability, telemetry, and logging tools. Develop dataflows, ETL processes, semantic models, and analytics-ready datasets to support reporting and business requirements. Implement data governance controls, including role-based access, data masking, and compliance … and Infrastructure-as-Code concepts. Strong experience with Spark for large-scale data processing using DataFrames, RDDs, and Spark SQL. Hands-on experience developing ETL workflows, lakehouse solutions, dataflows, pipelines, and semantic models. Familiarity with financial market data, time-series data, transactional datasets, or risk-related data domains. Strong communication ...

architectures aligned to business and technical requirements Design scalable cloud data platforms, lakehouse architectures, and analytics ecosystems Lead architecture for data modelling, warehousing, and ETL/ELT pipelines Design and oversee BI and semantic layer architecture (Power BI and similar tools) Define standards for data governance, security, lineage, and data … experience with Azure data ecosystem (Fabric, Databricks, Synapse, Azure Data Factory) Strong understanding of data modelling (Kimball, dimensional modelling, lakehouse patterns) Experience designing enterprise ETL/ELT and data integration architectures Strong BI architecture experience (Power BI, Tableau, or equivalent) Solid understanding of data governance, security, metadata, and data quality ...

agent based capabilities within data and analytics platforms * Producing architectures and designs for complex end-to-end data solutions, including data storage and management, ETL/ELT, reporting and analytics * Advising clients on architecture/infrastructure, platform and engineering best practices across data warehouse/data lake solutions and modelling … such as: o Relational DBMS o NoSQL o Graph databases o Cloud object storage o DB as a service * Architecture and design concepts for ETL/ELT solutions, using a range of tooling * Designing and applying data virtualisation technologies, particularly at enterprise scale * Architecture and design concepts for data exploitation ...

/Sub, SQS). Familiarity with AI/LLM systems (AOE integration), though not required across all charters. Knowledge of data engineering patterns or ETL/ELT workflows. Prior experience with API gateway architectures, caching layers, or service meshes. Exposure to cybersecurity best practices and secure service design. Benefits Publicis ...

expertise Insurance sector experience, particularly underwriting and policy data Knowledge of London Market data standards Excellent stakeholder management and collaboration skills Technical Skills Snowflake ETL/ELT processes Data integration and pipeline design Power BI and reporting platforms Hybrid role with an initial 6-month contract and strong extension potential. ...