1 to 25 of 633 ETL Jobs in London

data architecture, reporting and governance foundations needed for longer‐term transformation. What You'll Be Doing as a Data Engineer: Design, build and improve ETL and ELT pipelines that support data ingestion, profiling, reconciliation, cleansing and reporting across enterprise source systems. Building data catalogues, data flows, interface views and trusted ...

deployment cycle, from post-sales planning and scoping through to model and user-interface delivery. Set up, validate, and diagnose ETL (Extract, Transform and Load) integrations using cloud and data-transformation applications. Configure, transform, and debug data pipelines connecting TransUnion, clients, and their data sources. Represent TransUnion's measurement product … Advance level Excel skills. Advance level familiarity with Ad Server/Web Analytics data (Adobe/GA) is highly desirable. Advance level understanding of ETL best practices and familiar with several forms of ETL methodologies/technologies. Advance familiarity with database design. Advance familiarity with data visualization and analytics (with ...

deployment cycle, from post-sales planning and scoping through to model and user-interface delivery. Set up, validate, and diagnose ETL (Extract, Transform and Load) integrations using cloud and data-transformation applications. Configure, transform, and debug data pipelines connecting TransUnion, clients, and their data sources. Represent TransUnion’s measurement product … Advance level Excel skills. Advance level familiarity with Ad Server/Web Analytics data (Adobe/GA) is highly desirable. Advance level understanding of ETL best practices and familiar with several forms of ETL methodologies/technologies. Advance familiarity with database design. Advance familiarity with data visualization and analytics (with ...

and report troubleshooting. Support and maintain data warehouse environments such as Azure Synapse Analytics, SQL Server/Azure SQL DB, Snowflake or BigQuery. Monitor ETL performance and investigate slow-running queries and data load failures. Issue Investigation & RCA Investigate job failures and performance issues across data pipelines, ML endpoints, and ...

Data platform concepts; Data Lake, Lakehouse, Data Warehouse, Data Vault Azure Data Technologies; Azure Data Lake Storage, Azure Data Factory, Azure Databricks, MS Fabric ETL/ELT processes and designing, building and testing data pipelines Building data transformations using Python/PySpark Azure Cloud Version control and CI/ ...

consulting, client-facing roles, or equivalent industry experience delivering data engineering and architecture solutions. Strong understanding of data engineering principles, including pipeline design, ETL/ELT, ingestion patterns, orchestration, and integration approaches. Experience designing or governing modern data architectures (lakehouse, warehouse, data mesh, data fabric). Hands-on experience with ...

Tableau, Power BI, Python, Azure, Microsoft Azure, Cloud Data, Data Warehouse, Data Architecture, Data Quality, Data Strategy, AI Strategy, Business Intelligence, BI, Analytics, Reporting, ETL, ELT, Data Integration, Data Modelling, Data Migration, Pipeline Development, Data Platform, Data Infrastructure, Data Engineer London, Data Analyst London, Senior Data Engineer London, Mayfair, London. ...

also have: Delivery experience using the following technology: SAS (SAS EG, SAS DI, SAS Viya). Relational Databases and Data Warehousing concepts. Enterprise ETL tools such as Informatica, Talend, Datastage or Alteryx. Project experience using the any of the following technologies: Hadoop, Spark, Scala, Oracle, Pega, Salesforce. Cross and multi ...

experience with Snowflake, including data modelling, performance optimisation, Snowpark, data sharing, and governance capabilities Expertise in Apache Spark, Python, SQL, and modern ELT/ETL frameworks Proven ability to rapidly evaluate, prototype, and compare emerging technologies and architectural patterns Experience designing large-scale analytical platforms supporting high-volume and high ...

and maintain data warehouse environments, such as: Azure Synapse AnalyticsSQL Server/Azure SQL DBSnowflake or BigQuery (optional, if used in hybrid environments)Monitor ETL performance and investigate slow-running queries and data load failures. Issue Investigation & RCAInvestigate job failures and performance issues across data pipelines, ML endpoints, and dashboards. ...

flag risks or dependencies TECHNICAL SKILLS & EXPERTISE Strong data engineering skills: SQL (advanced), Python or PowerShell for data extraction, transformation, and automation; experience with ETL/ELT pipelines Dashboard development: Power BI (preferred), Tableau, Grafana, or equivalent BI tools — building interactive dashboards with drill-down, filtering, and alerting Experience with ...

flag risks or dependencies TECHNICAL SKILLS & EXPERTISE Strong data engineering skills: SQL (advanced), Python or PowerShell for data extraction, transformation, and automation; experience with ETL/ELT pipelines Dashboard development: Power BI (preferred), Tableau, Grafana, or equivalent BI tools — building interactive dashboards with drill‐down, filtering, and alerting Experience with ...

and collaborate with technical and non-technical stakeholders. Hands‐on expertise with SQL Server, SSIS, and relational databases, including writing complex queries and building ETL processes. Practical experience in network engineering, including network monitoring, troubleshooting, and ensuring secure data transmission. Proficiency with reporting and visualization tools (e.g., Power BI, Tableau ...

patterns Data processing: Apache Spark, SQL and distributed processing technologies Data storage: Delta Lake, Apache Iceberg and open table formats Data pipelines: Enterprise-scale ETL/ELT, batch and streaming patterns Transformation and quality: dbt, Great Expectations and equivalent tooling Orchestration: Apache Airflow and cloud-native orchestration services Event streaming ...

with Snowflake. Proven experience developing data transformations and data models using dbt. An understanding of dimensional modelling and data warehousing principles. Experience working with ETL/ELT processes and modern cloud-based data architectures. Knowledge of data lineage, metadata management and data quality frameworks. Experience using Git and working within ...

data warehousing, data lakes, and lakehouse architectures Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java ETL/ELT design and data pipeline orchestration Streaming and event-driven data architectures Agile and DevOps delivery methodologies applied to data platforms (DataOps) Expertise ...

and modern enterprise data platforms, including Databricks, Microsoft Fabric or another cloud data platform. Strong understanding of modern data architecture patterns, data modelling and ETL/ELT approaches. Practical experience with Spark, PySpark, Python and SQL and the design of scalable batch and real-time data pipelines. Experience designing appropriate ...

data integration, migration, and enhancement of existing pipelines. Designs and develops data transformation logic using SQL, Snowflake stored procedures, and Python-based scripts for ETL/ELT workloads. Builds and maintains robust data pipelines to support reporting, analytics, and application data needs. Creates and maintains Snowflake objects like tables, views ...

datameshand domain-oriented patterns Data processing:Apache Spark,SQLand distributed processing technologies Data storage:Delta Lake, ApacheIcebergand open table formats Data pipelines:Enterprise-scale ETL/ELT,batchand streaming patterns Transformation and quality:dbt, Great Expectations and equivalent tooling Orchestration:Apache Airflow and cloud-native orchestration services Event streaming:Kafka ...

Factory, and other data pipeline tools Experience with cloud platforms such as Azure, AWS, or GCP Solid understanding of data modeling, data warehousing, and ETL/ELT processes Familiarity with AI and machine learning concepts, with hands\u2011on experience in implementing AI-driven solutions Excellent problem-solving skills and ...

fellow engineers. Skills and Experience Proven experience as a Data Engineer, with a track record of building and maintaining production-level data pipelines and ETL/ELT processes. Strong proficiency in SQL and experience with data manipulation languages for complex data transformation and analysis. Hands‐on experience with cloud data ...

across BigQuery or equivalent cloud data warehouses; familiarity with Scala or Java is a plus. Deep expertise in data pipeline design: batch vs. streaming, ETL/ELT, schema design, partitioning, and efficient storage patterns. Hands-on experience with dbt Core (or dbt Cloud) and Airflow for orchestration and transformation ...

Data Governance, Data Quality, Metadata Management, and Data Lineage.* Experience designing and implementing Data Warehouses, Data Lakes, and Modern Data Platforms.* Strong understanding of ETL/ELT Architecture and Data Integration Frameworks.* Experience with Cloud Data Platforms such as Azure, AWS, or GCP.* Strong SQL and data analysis skills.* Knowledge ...

shaping the data foundation used for critical decision-making, innovative products, and future-focused services.* Own the design, development, and enhancement of scalable ETL/ELT data pipelines.* Develop data products and data platform components aligned with modern architectural principles.* Structure, integrate, and ensure data quality with a focus ...

foundational data systems that underlie modern AI infrastructure, including vector, NoSQL, and document databases. Develop end-to-end data engineering solutions, including robust ETL/ELT pipelines, API services, and data ingestion frameworks. Design and build the storage and processing layers powering our analytics workloads: data lakes, data warehouses, distributed ...