Roles and Responsibilities
Actica recognises that data engineering, analytics, and data science are distinct but interconnected disciplines. Our data engineers focus on building and maintaining the data infrastructure that enables analytics and data science work, while our data scientists and analysts focus on deriving insights and developing models.
At Actica, we're at the forefront of the UK government's AI transformation agenda, seeking skilled data specialists to architect and implement advanced analytics solutions for critical public sector and defence organisations. As part of our team, you'll leverage technologies like Palantir, Tableau, and cloud platforms (AWS, Azure) to build scalable data infrastructure, develop machine learning models, and create robust solutions that enhance public service delivery.
Working in classified environments, you'll tackle complex challenges using tools like Hadoop, Spark, and modern visualisation frameworks while implementing automation that drives government efficiency. You'll collaborate with stakeholders to transform legacy systems, implement data governance frameworks, and ensure solutions meet the highest security standards.
Our deep expertise in public sector digital transformation and established presence across defence and government organisations offer unique opportunities to shape the future of UK public services through innovative data-driven solutions.
With our strong technical foundation and focus on mission-critical systems, you'll be part of a team delivering nationally significant projects that have a real impact on public service delivery.
If you're passionate about applying cutting-edge data science and engineering in secure environments while contributing to the UK's digital transformation agenda, we should discuss how your expertise could strengthen our growing data practice.
As a data engineer/scientist, you will:
Data Engineering Focus:
- Design, implement, and maintain scalable data pipelines and ETL processes
- Develop and maintain data warehouses and data lakes
- Implement data quality monitoring and validation systems
- Create and maintain data documentation and cataloguing systems
- Optimize data storage and retrieval systems
- Implement data security and governance frameworks
- Build and maintain data APIs and services
Analytics and Data Science Focus:
- Translate business problems into data queries and solutions
- Develop and deploy machine learning models
- Create advanced analytics solutions
- Provide insights through data visualization and reporting
- Design and implement A/B tests and experiments
- Collaborate with stakeholders to understand data requirements
Project Responsibilities:
You will work on assignments such as:
- Architecting end-to-end data solutions for major business transformation programmes
- Designing and implementing data lakes and warehouses using cloud technologies
- Creating automated data pipelines for continuous data integration
- Developing real-time data processing systems
- Implementing data governance and security frameworks
- Building scalable machine learning infrastructure
- Collaborating with multiple departments, stakeholders, and external vendors