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Solirius Limited

Data Engineer - Inside IR35 - Up to £550 per day

On site

London, United kingdom

£ 550 /day

Freelance

18-02-2026

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Skills

Python SQL Data Warehousing Data Engineering Kubernetes Kanban Scrum Programming AWS Agile

Job Specifications

Data Engineer - Inside IR35 - Up to £550 per day
We're an independent digital transformation consultancy with clients across public and private sectors. We help our clients solve complex technical problems and provide human-centred solutions that lead to positive outcomes. We do this with multidisciplinary teams of strategists, architects, developers, designers and analysts working closely alongside client stakeholders and end users.
The Role
We're looking for a hands-on Data Engineer to work on a programme of improvement and remediation to close data gaps within a government department.
You'll be a strong communicator, with experience of delivering products and services in a Government environment. This includes engaging with stakeholders, ensuring the right structures and processes are in place to effectively capture, monitor and remediate data issues.
This is a hands on technical role as part of the project team. You'll be confident working with data on large and complex platforms with multiple data ingestion points. You'll access and query the data and be able to implement methods to transform and transfer data. You'll be able to discuss options and approaches with the project team. You'll have a strong understanding of data quality principles (accuracy, completeness, consistency, timeliness, validity) and the ability to work in an agile environment.
Skills and Experience Required
Experience and Competencies
GDS Standards: Recent experience working within the Government Digital Service framework, ensuring data services are accessible, secure, and user-centric. Providing technical input to use cases and problem statements is essential.
Agile Delivery: Experienced in Scrum/Kanban environments, participating in ceremonies (Dailies, Refinement, Retrospectives) and managing tasks via backlogs.
Data Engineering Best Practices: Knowledge of ETL/ELT patterns, data versioning, and building robust, automated pipelines. You'll ensure data security and compliance requirements are met with solutions you propose and build.
Streamlining Data Flows: Able to identify and implement process improvements for better data handling
Collaboration: Ability to work closely with Business Analysts, Data Analysts and business stakeholders to translate requirements into technical specifications.
Technical Experience and Tooling
Cloud Platform: Proven experience working with AWS and data warehousing
Programming: Advanced proficiency in Python and R for data manipulation and automation.
Database: Expert-level SQL for complex querying and data modelling. Use of dbt to utilise SQL in a data warehouse
Orchestration & Containers: Practical experience with Kubernetes and use of pipelines for deploying and scaling data services.
Working Arrangements
Remote working, with potential for team and stakeholder meetings in London once a week. Arrangements may vary based on project and team needs.
Active SC clearance required

About the Company

We are an independent software and technology consultancy who pride ourselves on our ability to deliver complex technology solutions for our clients. We focus on understanding our client's business and work with them to deliver change that makes their business more effective. Our multidisciplinary teams are made up of delivery experts, technology and software experts and user experience experts who have the drive, talent and creativity to take strategies from inception all the way through to business adoption. We provide th... Know more