Description
Marvell Consulting are working with a government client to deliver a digital transformation project, building a robust statistical data platform. This platform will provide policymakers, researchers, and citizens with reliable, user-focused data insights.
We’re looking for an experienced Data Architect/Data Engineer to deliver scalable, efficient solutions that align with modern data standards and principles.
Duration:
3-3 months
(full-time)
Location:
Remote with occasional hybrid
Type:
Outside-IR35
Day rate:
Competitive
Clearance:
SC must be attainable
Key Responsibilities
- Architect and implement OLAP data cubes for complex analytics on large datasets.
- Develop an ETL strategy migrating incumbent data to the new service.
- Develop data pipelines using PostgreSQL, Node.js, and Python.
- Design and optimize workflows for high-performance data processing.
- Deliver within an agile environment, ensuring alignment with GDS standards.
Essential Experience
- Expertise in OLAP data cubes, with a strong understanding of their design, implementation, and use for analytics.
- Proven experience with Microsoft SQL Server (MSSQL), including advanced query writing.
- Expertise in MDX (Multidimensional Expressions) for multidimensional database querying and analysis.
- Solid backend development experience using Python and Node.js for data and API integration.
- Proven ability to migrate or integrate data from MS SQL Server into modern pipelines or architectures.
- Familiarity with Azure data services, including Data Factory, Azure SQL, and related tools for cloud-based data processing.
- Familiarity with DuckDB or similar OLAP databases (knowledge of their role in modern pipelines is sufficient).
- Proven track record delivering data solutions in GDS-style environments with public-facing outcomes.
- Experience working within an agile delivery framework, contributing to sprints and iterative development.
- Prior experience supporting statistical or public-sector platforms is highly desirable.
- Knowledge of CDPS principles and methodologies is a bonus.
How to apply
This is an exciting opportunity to contribute to a high-impact transformation project. If you’re a talented data professional ready to take on your next challenge, please apply by sending your CV to talent@marvell-consutling.com.
Our hiring process
We screen all applications to create a shortlist of applicants to invite to the next stage. We then follow a two-stage interview process:
- First stage interview to assess fit for the role and experience
- Second stage interview to assess your technical skills
Most interviews take place remotely. An offer is made following successful progression of the two stages, supported by a client reference.
We will be sure to notify everyone of the outcome of their application.
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