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:
3-6 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-consulting.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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