AI Summary
12-month contract for a Data Analyst with a technical edge to lead critical decommissioning activities. Utilize Java, Node JS, React, Python, and PySpark to map data flows and architect end-to-end data visibility. Requires active SC Clearance, strong coding understanding, and cloud data engineering experience.
Key Highlights
Lead technical discovery and documentation for system decommissioning.
Map intricate end-to-end data flows across cloud environments.
Manage data quality and governance through robust testing frameworks.
Key Responsibilities
Lead the technical discovery and documentation of existing systems built on Java, Node JS, and React to support strategic decommissioning.
Reverse-engineer complex data models and system dependencies to identify ownership, integration points, and high-risk data silos.
Utilize Python and PySpark to interrogate live data pipelines, confirming exactly how data transforms in practice across the wider architecture.
Map intricate end-to-end data flows across RDS and cloud environments (AWS/Azure) to ensure a single source of truth for the decommissioning roadmap.
Manage data quality and governance by implementing robust testing frameworks to ensure the accuracy of all documented data assets.
Technical Skills Required
Benefits & Perks
Competitive day rate of £500 - £510 (Inside IR35)
Fully remote working flexibility from anywhere in the UK
Long-term 12-month initial contract with a high likelihood of extension
Opportunity to work on a high-profile programme of national importance
Job Description
Data Analyst
We're working with a leading global workforce solutions specialist on this exciting opportunity within the public sector technology space.
This is a high-impact, 12-month contract for a Data Analyst with a technical edge to lead critical decommissioning activities across a complex digital landscape. You will utilize your expertise in Java, Node JS, and React to map intricate data flows and architect a clear end-to-end picture of how data moves across a massive multi-year programme.
The Role
- Lead the technical discovery and documentation of existing systems built on Java, Node JS, and React to support strategic decommissioning.
- Reverse-engineer complex data models and system dependencies to identify ownership, integration points, and high-risk data silos.
- Utilize Python and PySpark to interrogate live data pipelines, confirming exactly how data transforms in practice across the wider architecture.
- Map intricate end-to-end data flows across RDS and cloud environments (AWS/Azure) to ensure a single source of truth for the decommissioning roadmap.
- Manage data quality and governance by implementing robust testing frameworks to ensure the accuracy of all documented data assets.
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- Active SC Clearance is mandatory for this role.
- Strong technical background with the ability to read and understand Java, Node JS, and React codebases to document system logic.
- Proven experience in Data Modelling and managing structured/unstructured data in JSON and RDS formats.
- Proficiency in Python and PySpark for data analysis, alongside experience with testing tools like PyTest and Great Expectations.
- Hands-on experience with Cloud Data Engineering tools, specifically AWS Glue or Databricks within an AWS or Azure environment.
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Competitive day rate of £500 - £510 (Inside IR35).
- Fully remote working flexibility from anywhere in the UK.
- Long-term 12-month initial contract with a high likelihood of extension.
- Opportunity to work on a high-profile programme of national importance.
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