1 to 25 of 68 ETL Jobs in the City of London

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 ...

aligned to banking sector priorities. Client Advisory & Engagement – Act as a trusted advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance ...

APIs, returning complex data from multiple endpoints. Implement processes to retain and refresh this data within business systems. Data Modeling: Using the businesses preferred ETL tools, generate curated datasets from raw input tables. Ensure all datasets have clear, documented lineage and integrated testing to protect against bad data entering datasets ...

work from the office 2 days per week. Key Responsibilities Develop and maintain scalable data pipelines using Azure Data Factory. Build and manage ETL processes using SQL and Python. Work with Azure Databricks and Azure SQL/SQL Server to process and manage large datasets. Design and implement data models ...

industry and understand the complexities of insurance data, systems, and business processes. What You'll Do Design, develop, and maintain scalable data pipelines and ETL/ELT processes. Build and optimise cloud-based data solutions and data platforms. Integrate data from multiple source systems into enterprise data environments. Work closely ...

and with different software solutions (Snowflake, Azure, SQL, Python); Provide the handling of (and where needed training of) Large Language Models (LLMs) in the Extract, Transform, and Load (ETL) of large corpus of data into a data lake; Participate in the Natural Language Processing (NLP) extract of unstructured data into … Knowledge of developing dimensional data models from unstructured content and awareness of the advantages and limitations of Star Schema and Snowflake schema designs; Solid ETL development, reporting knowledge based off intricate understanding of business process and measures; Knowledge of Snowflake cloud data warehouse and Azure cloud is preferred; Knowledge ...

experience Production data engineering, including SQL, Python, a modern data platform such as Databricks, Snowflake or Fabric, and orchestration tooling, with practical experience of ETL/ELT, data testing, Git and CI/CD; PySpark or dbt experience is beneficial. Working knowledge of finance data structures, including chart of accounts ...

with different software solutions (Snowflake, Azure, SQL, Python). Provide the handling of (and where needed training of) Large Language Models (LLMs) in the Extract, Transform, and Load (ETL) of large corpus of data into a data lake. Participate in the Natural Language Processing (NLP) extract of unstructured data into … Knowledge of developing dimensional data models from unstructured content and awareness of the advantages and limitations of Star Schema and Snowflake schema designs. Solid ETL development, reporting knowledge based off intricate understanding of business process and measures. Knowledge of Snowflake cloud data warehouse and Azure cloud is preferred. Knowledge ...

hands-on delivery with leadership and continuous improvement. What you will do? As our Data Engineering Lead, you will: Design, develop and maintain enterprise ETL/ELT pipelines, integrating data from case management, finance, CRM and third-party systems into a central data platform. Lead the development and continuous improvement ...

Delta Lake concepts, UC governance. Solid understanding ofstreaming technologies(e.g., Spark Structured Streaming, Autoloader). Programming skills inPython,SQL, or Proficiency indata modelling, ETL/ELT processes, and data architecture. Experience in MS Copilot, AI Foundry , Databricks (MosiacAI, MLflow, Agentbricks, Genie) Strong analytical background with problem‐solving skills. Performance tuning ...

engineering. Strong hands-on capability with SQL and Python. Experience with Snowflake or another modern cloud data platform. Experience designing and developing ELT and ETL pipelines in production. A good understanding of analytical and dimensional data modelling. Experience with dbt or comparable modern transformation tooling. Familiarity with Git, CI/ ...

extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)Technical Skill SetData Architecture & Platforms Cloud data platforms, SQL, ingestion pipelines (batch, streaming, CDC), ETL/ELT, data modelling, semantic layers, integration patterns, and the TCO trade-offs of building with hyperscalers vs. Salesforce. Deep familiarity with Informatica (IDMC ...

skills, with the proven ability to translate highly technical concepts for both technical and non-technical leadership. Desirable Skills (Nice-to-Haves) Data Ingestion & ETL/ELT: Experience using ingestion tooling and orchestration platforms to build and manage automated data pipelines. Cloud Data Platforms: Hands-on experience with Snowflake (highly ...

should have: 5+ years Data Engineering experience Strong Microsoft Fabric experience. Proficiency in designing and managing data pipelines and databases. Knowledge of data modelling, ETL processes, and data integration techniques. Experience with cloud-based data platforms and tools. Strong problem-solving skills and attention to detail. Ability to work collaboratively ...

with key stakeholders to ensure high adoption rates Ensuring standards and reference architectures are defined across Data Factory, PowerBI and OneLake Defining patterns across ETL, ELT, meta data, master data management etc. Working closely with Data Engineers on data pipelines, ensuring they are secure and resilient Ensuring solutions are fully ...

clear options and trade-offs. Own the integration architecture connecting Salesforce with upstream and downstream platforms (APIs, event-driven patterns, middleware such as MuleSoft, ETL and data platforms) to enable joined-up client journeys and high-quality, trusted data. Govern platform integrity—data model, security model, governor limits, org strategy ...

hybrid working. Occasional travel and overnight stays to support our national portfolio when required. Key responsibilities Build, maintain and optimise scalable data pipelines and ETL processes using Azure Databricks. Work with stakeholders across the business to understand data requirements and deliver effective solutions. Ensure data quality, accuracy and consistency through … engineering processes. Contribute to innovation, knowledge sharing and best practice within the Data & Business Intelligence team. Requirements Experience building and managing data pipelines and ETL processes. Strong SQL skills and experience with data modelling. Experience integrating data from multiple structured and unstructured sources. Strong understanding of cloud-based data architecture. ...

technical stakeholders. Desirable Proficiency in SQL and experience with relational databases Experience with Python, R, or other data analysis tools Familiarity with ETL (Extract, Transform, Load) processes Experience with data governance frameworks Background in CRM systems or marketing automation platforms IAPP certification (CIPP/E or CIPM) or similar data ...

Office (Sales & Trading), Risk Management, or Finance. Strong programming in Python, Java and SQL (Rust a plus). Proven experience building streaming and batch ETL/ELT pipelines at scale. Strong understanding of market/trade data lifecycles and time series concepts. Experience with AWS and cloud-native data services. ...

experience of Scaled agile delivery Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-native integration solutions. Knowledge of data integration and ETL (Extract, Transform, Load) processes. Familiarity with DevOps practices and tools for continuous integration and continuous deployment (CI/CD). Relevant certifications in enterprise architecture ...

Analytics in London is seeking an AWS Data Engineer to join our hybrid team. You will design, build and optimise scalable data pipelines and ETL/ELT processes, using Python, SQL and Spark to manage large consumer datasets. You will collaborate with analytics and data science teams, apply AWS data ...

rules. Build interactive dashboards, reports and data visualisations. Develop allocation models, calculations and workflow processes. Integrate BOARD with ERP and other enterprise systems using ETL and data integration tools. Support data migration, testing and deployment activities. Deliver user training and provide post-go-live support. Recommend improvements to planning processes ...

warehouse and the data quality framework. Keep the warehouse up to date and exceeding data quality targets Monitor, investigate and resolve issues with the ETL and reporting processes Oversee the execution of scheduled analyses, reporting and model processes and automate repeat tasks using available SQL & BI tools Log work requests ...

filters, and drill-through functionality. Ensure consistency of data across source systems, data warehouse, and reports. Perform report reconciliation and data accuracy checks. Validate ETL processes and data transformations. Verify data movement from source systems to reporting layers. Execute database and SQL-based validation tests. Identify data quality issues and ...

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 ...