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- Tasks: Join us as a Data Engineer, delivering high-priority projects and supporting customers throughout the project lifecycle.
- Company: CACI Digital Experience, a leading technical consultancy in the Defence sector.
- Benefits: Enjoy flexi-time, hybrid working, and a fantastic culture with monthly social events.
- Why this job: Make an impact with cutting-edge technology while developing your skills in a supportive environment.
- Qualifications: Experience in data engineering, strong knowledge of data management principles, and proficiency in SQL and Python.
- Other info: Dynamic, inclusive workplace with opportunities for career progression and personal development.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Data Engineer role at CACI Digital Experience (formerly Cyber-Duck).
About Us: We are the Information Intelligence Group (IIG) of CACI UK, a specialist technical consultancy providing bespoke solutions to solve complex operational problems. Due to some exciting growth within our Defence business, we are interested in speaking with an experienced Data Engineer to join us.
Role Location: You can work from any of our 5 offices in the UK (including Bristol, Cheltenham & London) or from home, you decide. The role will require regular trips to London.
The Role: The successful candidate will be focused on the delivery of high-priority projects where you will be supporting our customers across the full project lifecycle from initiation to conclusion. Working with a broad range of technical tools, you will be supporting compliance to data governance, standards and quality frameworks.
- Interpret and validate data requirements, gather and analyse large-scale structured datasets, and perform profiling within data environments to ensure accuracy and completeness.
- Design and implement ETL frameworks to ingest, transform, validate, normalize, and cleanse data, ensuring it meets business and technical needs.
- Apply data quality controls and prepare datasets for visualisation, implementing data models and manage storage solutions like Amazon S3, Azure Blob Storage, BigQuery, or Snowflake.
- Support the development of data management standards and policies, including techniques for data synthesis and anonymisation to maintain compliance and security.
- Develop robust data models to support analytics and reporting within secure environments.
- Deliver performance optimisation through the monitoring and tuning of data workflows for speed, cost efficiency, and reliability.
- Establish and refine best practices in data engineering, while contributing to advanced analytics and visualization strategies through research, evaluation of emerging technologies, and presentation of findings to stakeholders.
The Fit: The ideal candidate will have a background of working with industry best practices for data management, security, scalability, and awareness of Data Standards, Interoperability, Data Governance, and Data Sharing across security domains. We are looking for someone who is passionate about technology, enjoys problem-solving, and has a collaborative mindset.
Additional Skills Include:
- Proven experience as a Data Engineer within complex environments.
- Strong knowledge of data management principles, including data modelling, integration, and governance.
- Ability to assess existing data management systems and recommend improvements.
- Familiarity with modern data architectures (e.g., cloud-based, distributed systems).
- Proficiency in SQL, Python, and data pipeline tools (e.g., Apache Airflow, Spark).
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies.
- Awareness and evidence of Data Analytics and Visualisation.
Security Clearance: Due to the industries we work in, we require the successful candidate to be able to obtain high level security clearance. To qualify for this, you must be a British citizen and have lived permanently in the UK for the last 5 years.
Why work for us? Benefits:
- Flexi-time: 37.5 hour weeks to structure how you want.
- Hybrid working: Work from one of our offices or from home - you choose.
- L&D: Budget for conferences, training courses and other materials.
- Social: Fantastic culture with monthly social events.
- Future You: Matched pension and health care package.
We offer a great L&D package including 5 days external training, a career coach and guilds to share innovation and learning. We also offer self-directed career progression, that fosters opportunities for success for us and our business. We take great pride in taking care of our talent, providing a highly dynamic, inclusive and team-led environment where everyone can thrive.
Equal Opportunities: CACI is proud to be an equal opportunities employer. Embracing the diversity of our people, we are on a journey to build a truly inclusive work environment where no one is treated less favourably due to ethnic origin, age, gender, veteran status, religion or belief, sexual orientation, marital status, and disability or health condition, actively working to prevent discrimination.
As a Disability Confident employer, we will:
- Provide reasonable adjustments in the recruitment process where requested.
- Offer people with health conditions and disabilities, meeting the minimum criteria for a role, an interview.
Our people are unique, and we encourage and support them to be confident in contributing to our inclusion journey.
Data Engineer in Bristol employer: CACI Digital Experience (formerly Cyber-Duck)
Contact Detail:
CACI Digital Experience (formerly Cyber-Duck) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to current employees at CACI Digital Experience on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about data management principles and tools like SQL and Python. We want to see your passion for tech shine through!
✨Tip Number 3
Showcase your problem-solving skills during interviews. Think of examples from your past work where you tackled complex data challenges. This will demonstrate your fit for the role and how you can contribute to our team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our awesome team at CACI.
We think you need these skills to ace Data Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data management principles, cloud platforms, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about technology and problem-solving. Share specific examples of how you've tackled challenges in previous roles, especially in complex environments.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in SQL, Python, and any data pipeline tools you’ve used. We love seeing candidates who are familiar with modern data architectures, so make sure to highlight that experience!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at CACI Digital Experience (formerly Cyber-Duck)
✨Know Your Data Tools
Familiarise yourself with the specific data tools mentioned in the job description, like SQL, Python, and cloud platforms such as AWS or Azure. Be ready to discuss your experience with these technologies and how you've used them in past projects.
✨Understand Data Governance
Since the role involves compliance with data governance and quality frameworks, brush up on these concepts. Prepare examples of how you've implemented data management standards or improved data quality in previous roles.
✨Showcase Problem-Solving Skills
Be prepared to discuss complex problems you've solved in data engineering. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking and collaborative mindset.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company and the role. Inquire about their current data projects, team dynamics, or how they approach innovation in data engineering. This demonstrates your enthusiasm and helps you gauge if it's the right fit for you.
