At a Glance
- Tasks: Transform data into actionable insights and develop innovative data solutions.
- Company: Join the UK's leading aviation and aerospace regulator with a commitment to safety.
- Benefits: Enjoy a competitive salary, hybrid work options, and a focus on work-life balance.
- Other info: Be part of a diverse team that values integrity and continuous learning.
- Why this job: Make a real impact in aviation by engineering data processes that drive decision-making.
- Qualifications: Experience in data engineering and a passion for problem-solving are essential.
The predicted salary is between 50000 - 54790 £ per year.
We are the UK's aviation and aerospace regulator and recognised as a world leader in its field. Our activities are diverse, enabling the aviation industry to meet the highest safety standards, and we pride ourselves on our ability to adapt to the constantly evolving aviation environment.
The successful Data Engineer will be tasked to inform strategic/operational decision-making through sourcing, accessing and manipulating data, and engineering data processes. Data Engineers will develop and construct data products and services and integrate into systems and business processes.
- Partner with project teams to understand new and existing data sources, and deliver relevant project deliverables, whether data models, data extracts, data transformation.
- Work across both business as usual and project delivery activities and may be deployed across multiple programmes, projects and change initiatives to support organisational priorities, ensuring CAA wide delivery and adherence to the Data Strategy.
- Devise solutions and make decisions by seeking feedback from stakeholders.
- Collect, compile and cleanse data solving any problems as relevant.
- Implement & re-engineer data flows to connect operational systems, accessible data for analytics and BI systems to enable scaling and repeatable use.
- Identify and use a range of programming languages and tools for data manipulation, analysis, visualisation and system integration. Develop reproducible analysis and robust code in accordance with relevant standards.
- Use analysis and models to inform and improve organisational outcomes, building models and validating results.
- Implement data solutions, using relevant software engineering architecture and design patterns.
- Design and delivery of fully governed ETL processes.
- Find, present, communicate and disseminate outputs effectively.
- Provide guidance on implementation of high-quality data management whilst developing and maintaining collaborative relationships at strategic and operational levels.
- Develop solutions that deliver the automation of existing manual processes.
About You
- Knowledge of Data architecture and engineering disciplines.
- Conceptual, logical and physical data modelling with proven experience and delivery benefits.
- Understanding of Master and Reference Data Management concepts.
- An analytical mindset to challenge the business with both BAU and project deliverables.
- Knowledge of Data Platform Management.
- Willingness to confidently challenge and quantify data decisions.
- Experience in the transformation of data to meet strategic and analytical goals.
- Business analyst skills (desirable).
- Proven experience of the development of end-to-end ETL solutions delivering business benefit.
- Understanding and experience in Agile methodology/ways of work.
For many appointments within the CAA, these roles require access to operationally sensitive infrastructure and/or Nationally Protected information. For these roles the post holders must undergo National Security Vetting and achieve the appropriate level of clearance. To be vetted we will usually expect a reasonable period of residency in the UK so that meaningful checks can be undertaken. For this role this will need to be 5 years. If you do not meet these requirements, we may not be able to accept your application.
The CAA values high ethical standards and personal integrity among employees. If invited for interview you will be asked to complete a declaration of interest.
We are committed to building a diverse and inclusive workforce and welcome applications from all backgrounds. As a Disability Confident employer, candidates who meet the minimum requirements will be guaranteed an interview. If you require any adjustments during the recruitment process, please let us know.
Explore What We Offer section on our careers website to find out about our benefits and how we support work-life balance.
Our Values: Do The Right Thing, Never Stop Learning, Build Collaborative Relationships, Respect Everyone.
Data Engineer employer: Civil Aviation Authority
The Civil Aviation Authority is an exceptional employer, offering a dynamic work environment that prioritises safety and regulatory compliance in the aviation sector. With a strong commitment to employee development, you will have access to unique growth opportunities, including domestic and international travel, all while enjoying the flexibility of a hybrid working model that promotes work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Civil Aviation Authority!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Civil Aviation Authority.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Civil Aviation Authority.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Civil Aviation Authority, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Civil Aviation Authority, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Civil Aviation Authority. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Civil Aviation Authority
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Civil Aviation Authority!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
