At a Glance
- Tasks: Lead hands-on data engineering and shape data processes across the organisation.
- Company: Join a dynamic team in a high-impact data ecosystem.
- Benefits: Enjoy travel perks, discounted airfares, and opportunities for new challenges.
- Other info: Collaborative environment with a focus on continuous improvement and career growth.
- Why this job: Make a real impact by mentoring others and improving data delivery.
- Qualifications: Strong SQL skills and experience with cloud-native tools like Snowflake and AWS.
The predicted salary is between 63000 - 77000 £ per year.
Overview
In this role you lead hands-on data engineering within the data delivery teams, shaping data ingestion, storage and processing across the organisation.
You will guide the lifecycle from development to deployment, monitoring, and improvement, applying Dev Ops practices.
As a senior engineer, you’ll mentor others, build reusable components, and ensure a secure, observable, cost-efficient data platform.
This is a high-impact role in a business-critical data ecosystem.
- Pay / Benefits
- staff travel benefits including unlimited basic and premium standby tickets
- up to 30 discounted Hotline airfares per year
- opportunities to take on new challenges across the business
Responsibilities
- Lead build, test, and deployment of data pipelines for secure, scalable data delivery
- Maintain data products for availability, performance, and resilience with monitoring and incident resolution
- Assure code and automation scripts to manage data flows
- Conduct service reviews, health checks, and root cause analyses to improve reliability
- Set standards for data processing documentation and version control
- Support senior engineers with engineering patterns, coding standards, and automated testing
- Lead agile ceremonies, planning, and retrospectives for continuous improvement
- Define developer experience and streamline data integration with product teams
- Line manage Senior Data Engineers and participate in on-call rotation
- Key requirements
- Excellent SQL development experience
- Extensive data ingestion, processing, and storage on cloud-native tooling
- Experience with Snowflake, AWS, DBT or equivalent Paa S/Saa S
- Enterprise data management and security at scale
- Knowledge of data modelling, optimisation, testing, and monitoring
- Experience supporting production data systems, CI/CD and agile workflows
- Information security principles and access control in data environments
- Degree or equivalent training in Computer Science, Engineering, or related discipline (desirable)
- delivers work reliably and with accountability
- collaborative problem-solving
- clear communication and stakeholder engagement
- SQL development
- data ingestion, processing and storage
- cloud-native tooling (Snowflake, AWS, DBT)
Principal Data Engineer in Heathrow employer: British Airways
British Airways is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of the aviation industry. As a Lead Product Data Scientist, you will have access to cutting-edge technology and significant opportunities for professional growth, all while contributing to impactful projects that enhance operational efficiency. With a commitment to employee development and a focus on delivering measurable business value, British Airways provides a rewarding environment for those looking to make a difference in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Engineer in Heathrow
✨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 British Airways!
✨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 Principal Data Engineer at British Airways.
✨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 British Airways.
✨Apply Directly through Our Website
When you find a suitable opening like Principal Data Engineer at British Airways, 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 Principal Data Engineer in Heathrow
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 British Airways, 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 British Airways. 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 British Airways
✨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 British Airways!
✨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.
