Data Engineer / Scientist

Data Engineer / Scientist

London Full-Time 28800 - 48000 £ / year (est.) No home office possible
A

At a Glance

  • Tasks: Design and maintain data pipelines while developing analytics solutions for public sector organisations.
  • Company: Actica is a leader in digital transformation for the UK public sector, focusing on impactful data solutions.
  • Benefits: Enjoy hybrid working, mentorship, career development support, and a diverse, inclusive workplace.
  • Why this job: Join a mission-driven team tackling real-world challenges with cutting-edge technology and innovative data solutions.
  • Qualifications: Experience in data engineering, coding (Python/R), and cloud platforms (AWS/Azure) is essential.
  • Other info: Opportunities to work on nationally significant projects that enhance public service delivery.

The predicted salary is between 28800 - 48000 £ per year.

As a Data Engineer/Scientist at Actica, you will have the opportunity to design, build, and maintain data pipelines while developing advanced analytics solutions to unlock business problems for high-profile UK public sector organisations. Your expertise will enable organisations to maximise the value of their data assets through robust data infrastructure and sophisticated analysis, playing a key role in nationally critical projects that make a real difference to people's everyday lives.

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.

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

    Skills, Knowledge and Expertise:

    We work predominantly within the UK Defence and Public Sectors so experience within those sectors is desirable, preferably in roles which have used data to solve business problems. The fast-moving nature of the Public Sector technology environment, together with the need to resource multiple, ad-hoc assignments, also requires our data analysts and data scientists to be quick thinkers, proactive and self-motivated – with the ability to apply a structured approach to often unfamiliar subject matter. The following attributes and areas of experience will make you particularly suited to this role with Actica:

    • Coding e.g. expertise in Python or R;
    • Collaborative, team-based development;
    • Cloud analytics platforms e.g. relevant AWS and Azure platform services;
    • Data tools hands on experience with Palantir ESSENTIAL;
    • Data science approaches and tooling e.g. Hadoop, Spark;
    • Data engineering approaches;
    • Database management, e.g. MySQL, Postgress;
    • Software development methods and techniques e.g. Agile methods such as SCRUM;
    • Software change management, notably familiarity with git;
    • Public sector best practice guidance, e.g. ITIL, OGC toolkit.

    Additional Requirements:

    • Must be eligible and willing to obtain UK Government Security Clearance.

    Key Attributes for Success:

    • Ability to engage effectively with stakeholders, including resolving issues and identifying new opportunities.
    • Strong interpersonal and influencing skills.
    • Adaptability to a fast-paced, ever-changing environment.

    Working Arrangements:

    Hybrid working model, with an office base in Guildford, Surrey and access to our other offices in London, Swindon and Cheltenham. Typical working week might involve 2-3 days working at clients’ premises or other locations and the remainder at home or at one of our offices. Some projects may require up to 5 days per week on-site with colleagues. The practicalities of some project work means that individuals may need to stay away from home during the working week. Team-based project environment with opportunities to participate in internal initiatives.

    Career Development:

    A Mentor will be on hand to provide support and guidance throughout your journey with Actica. You will also work with a Performance and Development Manager, often outside of your project line of control, who will conduct regular reviews based on project feedback to set career objectives and identify training courses which are both relevant to your current project work, and aligned with your planned career progression.

    Our Commitment to Diversity:

    Actica aims to nurture a diverse workforce through inclusive working practices, promoting equality in our recruitment activities, and by employing candidates on the basis of merit. Discrimination against individuals on the grounds of protected characteristics is not permitted and we take steps to ensure that our staff are made aware of their legal responsibilities when making hiring decisions.

    We offer a competitive suite of benefits.

    Data Engineer / Scientist employer: Actica Consulting Limited

    Actica is an exceptional employer that champions innovation and collaboration in the field of data engineering and analytics, particularly within the UK public sector. With a strong commitment to employee growth, we provide mentorship and tailored career development opportunities, alongside a hybrid working model that promotes work-life balance. Our inclusive culture and focus on impactful projects ensure that you will not only advance your skills but also contribute to meaningful change in public service delivery.
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    Contact Detail:

    Actica Consulting Limited Recruiting Team

    StudySmarter Expert Advice 🤫

    We think this is how you could land Data Engineer / Scientist

    ✨Tip Number 1

    Familiarise yourself with the specific technologies mentioned in the job description, such as Palantir, AWS, and Azure. Having hands-on experience or even a solid understanding of these tools will help you stand out during discussions.

    ✨Tip Number 2

    Network with professionals in the public sector and data engineering fields. Attend relevant meetups or webinars to connect with people who work at Actica or similar organisations, as personal referrals can significantly boost your chances.

    ✨Tip Number 3

    Prepare to discuss real-world examples of how you've solved complex data problems in previous roles. Being able to articulate your thought process and the impact of your solutions will demonstrate your capability and fit for the role.

    ✨Tip Number 4

    Stay updated on current trends in data engineering and analytics, especially within the public sector. Showing that you're knowledgeable about recent developments can impress interviewers and show your commitment to the field.

    We think you need these skills to ace Data Engineer / Scientist

    Data Pipeline Design
    ETL Processes
    Data Warehouse Development
    Data Lake Implementation
    Data Quality Monitoring
    Data Documentation and Cataloguing
    Data Storage Optimization
    Data Security Frameworks
    API Development
    Machine Learning Model Deployment
    Data Visualisation
    A/B Testing
    Stakeholder Collaboration
    Python or R Programming
    AWS and Azure Cloud Services
    Hadoop and Spark Proficiency
    Database Management (MySQL, Postgres)
    Agile Methodologies (SCRUM)
    Software Change Management (Git)
    Public Sector Best Practices (ITIL, OGC Toolkit)
    Interpersonal Skills
    Adaptability to Fast-Paced Environments

    Some tips for your application 🫡

    Tailor Your CV: Make sure your CV highlights relevant experience in data engineering and analytics. Focus on specific projects where you've designed data pipelines or developed machine learning models, especially in public sector contexts.

    Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and engineering. Mention how your skills align with the responsibilities outlined in the job description, particularly your experience with tools like Palantir, AWS, and Azure.

    Showcase Relevant Skills: Clearly list your technical skills that are pertinent to the role, such as coding in Python or R, experience with Hadoop and Spark, and familiarity with cloud platforms. Use specific examples to demonstrate your expertise.

    Highlight Soft Skills: Don't forget to mention your interpersonal skills and adaptability. The job requires collaboration with stakeholders and the ability to thrive in a fast-paced environment, so provide examples of how you've successfully navigated similar situations.

    How to prepare for a job interview at Actica Consulting Limited

    ✨Showcase Your Technical Skills

    Be prepared to discuss your experience with relevant technologies like Python, R, AWS, and Azure. Highlight specific projects where you've designed data pipelines or implemented machine learning models, as this will demonstrate your hands-on expertise.

    ✨Understand the Public Sector Context

    Familiarise yourself with the challenges and opportunities within the UK public sector, especially in defence and government. Being able to articulate how your skills can address these issues will set you apart from other candidates.

    ✨Prepare for Scenario-Based Questions

    Expect questions that assess your problem-solving abilities in real-world scenarios. Think about past experiences where you've tackled complex data challenges and be ready to explain your thought process and the outcomes.

    ✨Demonstrate Collaboration Skills

    Since the role involves working with various stakeholders, be ready to discuss how you've successfully collaborated in team environments. Share examples of how you've engaged with others to achieve project goals or resolve conflicts.

    Data Engineer / Scientist
    Actica Consulting Limited
    A
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