At a Glance
- Tasks: Lead the design and deployment of secure, scalable data pipelines.
- Company: Join British Airways, a pioneering airline with over 100 years of history.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for growth.
- Other info: Dynamic role with a chance to shape the future of data at BA.
- Why this job: Be a technical leader and make a real impact in data engineering.
- Qualifications: Experience in data engineering and a passion for best practices.
The predicted salary is between 65000 - 78000 £ per year.
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain.
It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris.
This originality has been in our blood since day one.
It's the spirit we share with the people that fly with us, our partners, and our colleagues.
So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far flung places, a job at British Airways is yours to make.
We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit.
The role: Principal Data Engineer (14 Month FTC) You'll be part of the Operations Delivery Intelligence (ODI) directorate, acting as a technical leader for data engineering across the organisation.
This area plays a critical role in enabling secure, scalable and high performing data platforms that underpin data products and decision making across British Airways.
What you'll do: Act as a technical leader for data engineering best practice across delivery teams Lead the design, build, test and deployment of secure and scalable data pipelines Maintai...
Principal Data Engineer - 14 Month FTC employer: hackajob
At hackajob, we pride ourselves on being an exceptional employer that fosters a culture of innovation and inclusivity. Our diverse team thrives in a high-performance environment where your contributions directly impact our multi-asset platform's success. With ample opportunities for professional growth and a commitment to employee development, joining us means being part of a forward-thinking company that values your expertise and ambition.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Engineer - 14 Month FTC
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like hackajob before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like hackajob.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like hackajob.
We think you need these skills to ace Principal Data Engineer - 14 Month FTC
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at hackajob, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to hackajob, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab hackajob’s attention and show the tangible impact of your work.
How to prepare for a job interview at hackajob
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at hackajob.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at hackajob.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at hackajob.
