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 competitive benefits package.
- 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 familiarity with cloud platforms like AWS or Azure.
- Other info: Must be eligible for UK Government Security Clearance; opportunities for travel and collaboration across various locations.
The predicted salary is between 36000 - 60000 Β£ per year.
Data Engineer / Scientist Department: ConsultancyEmployment Type: Full TimeLocation: United Kingdom / Hybrid
Description 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\βs everyday lives.
Locations: London, Guildford, Bristol, M4 corridorHybrid working
#TNRoles 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\βre at the forefront of the UK government\βs 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\βll 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\βll tackle complex challenges using tools like Hadoop, Spark, and modern visualisation frameworks while implementing automation that drives government efficiency. You\βll 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\βll be part of a team delivering nationally significant projects that have a real impact on public service delivery.
If you\βre passionate about applying cutting-edge data science and engineering in secure environments while contributing to the UK\βs 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 processesDevelop and maintain data warehouses and data lakesImplement data quality monitoring and validation systemsCreate and maintain data documentation and cataloguing systemsOptimize data storage and retrieval systemsImplement data security and governance frameworksBuild and maintain data APIs and servicesAnalytics and Data Science Focus: Translate business problems into data queries and solutionsDevelop and deploy machine learning modelsCreate advanced analytics solutionsProvide insights through data visualization and reportingDesign and implement A/B tests and experimentsCollaborate with stakeholders to understand data requirementsProject Responsibilities:
You will work on assignments such as: Architecting end-to-end data solutions for major business transformation programmesDesigning and implementing data lakes and warehouses using cloud technologiesCreating automated data pipelines for continuous data integrationDeveloping real-time data processing systemsImplementing data governance and security frameworksBuilding scalable machine learning infrastructureCollaborating 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 β 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\β 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 weekTeam-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 DiversityActica 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.#J-18808-Ljbffr
Data Engineer / Scientist employer: Actica Consulting Limited
Contact Detail:
Actica Consulting Limited Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Engineer / Scientist
β¨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 relevant projects to discuss can set you apart during interviews.
β¨Tip Number 2
Network with professionals in the public sector and data engineering fields. Attend industry events or join online forums where you can connect with current employees at Actica or similar organisations to gain insights and advice.
β¨Tip Number 3
Prepare to discuss your problem-solving skills and how you've applied data engineering or data science to real-world challenges. Be ready to share specific examples that demonstrate your ability to work under pressure and adapt to changing environments.
β¨Tip Number 4
Research the latest trends in data engineering and analytics, especially within the public sector. Being knowledgeable about current developments will show your passion for the field and your commitment to contributing to Actica's mission.
We think you need these skills to ace Data Engineer / Scientist
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Focus on your expertise in data engineering, analytics, and any specific tools mentioned, such as Python, AWS, or Palantir.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also demonstrates your passion for working in the public sector. Mention how your previous experiences can contribute to the mission-critical projects at Actica.
Showcase Relevant Projects: Include specific examples of past projects where you designed data pipelines, developed machine learning models, or implemented data governance frameworks. This will help illustrate your hands-on experience and problem-solving abilities.
Highlight Soft Skills: In addition to technical skills, emphasise your interpersonal and influencing skills. Mention instances where you've effectively collaborated with stakeholders or adapted to fast-paced environments, as these are key attributes for success at Actica.
How to prepare for a job interview at Actica Consulting Limited
β¨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.
β¨Understand the Public Sector Context
Familiarise yourself with the challenges and opportunities within the UK public sector. Be ready to discuss how your skills can contribute to solving business problems in this environment, especially regarding data governance and security.
β¨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to explain how you would approach real-world scenarios, such as designing a data lake or optimising an ETL process, showcasing your structured thinking and adaptability.
β¨Demonstrate Collaboration Skills
Since the role involves working with various stakeholders, be ready to share examples of how you've successfully collaborated in team settings. Highlight your interpersonal skills and ability to engage effectively with different departments.