4 of 4 Contract Data Vault Jobs in London

Title: Snowflake Data Engineer Location: London (2 days on-site per week) Salary/Rate: £550 - £600 per day inside IR35 Start Date: March Job Type: Initial 3-6 month contract Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They … currently looking for a skilled Snowflake Data Engineer to help on their cloud migration project. Job Responsibilities/Objectives You will be responsible for designing and building scalable data pipelines, Data Vault models/Dimension Model, and Snowflake/dbt workloads for cloud migration projects. Implement ...

broad range of services including assurance, advisory, tax, risk, regulatory consulting, transaction support, and technology-enabled transformation. With a strong focus on innovation, data-driven decision-making, and regulatory excellence, the bank partners with corporations, governments, and financial institutions to manage risk, enhance performance, and navigate complex financial landscapes. … bank invests heavily in technology, sustainability, and talent development to deliver long-term value for clients and stakeholders. Role Requirements Develop conceptual and logical data models across key investment banking domains (e.g. clients, products, trades, positions, risk, finance, market and collateral data) Ensure models align to agreed modelling ...

production-ready distributed pipelines for a Tier-1 financial services environment. Core Responsibilities Engineering Leadership: Design and develop complex ETL/ELT pipelines and Data Marts using PySpark, EMR, and Glue. Legacy Modernisation: Architect the conversion of SAS Base/Macros into modular, testable Python code using SAS2PY … Spark execution (partitioning, shuffling, caching) to ensure cost-efficient processing of massive financial datasets. Quality & Governance: Implement rigorous CI/CD, unit testing, and data reconciliation frameworks to ensure "penny-perfect" accuracy. Technical Stack Engine: PySpark (Expert), Python (Clean Code/SOLID principles). AWS: EMR, Glue, S3, Athena ...

production-ready distributed pipelines for a Tier-1 financial services environment. Core Responsibilities Engineering Leadership: Design and develop complex ETL/ELT pipelines and Data Marts using PySpark, EMR, and Glue. Legacy Modernisation: Architect the conversion of SAS Base/Macros into modular, testable Python code using SAS2PY … Spark execution (partitioning, shuffling, caching) to ensure cost-efficient processing of massive financial datasets. Quality & Governance: Implement rigorous CI/CD, unit testing, and data reconciliation frameworks to ensure "penny-perfect" accuracy. Technical Stack Engine: PySpark (Expert), Python (Clean Code/SOLID principles). AWS: EMR, Glue, S3, Athena ...