At a Glance
- Tasks: Lead the design and optimization of innovative data engineering solutions.
- Company: Join Virgin Atlantic, a leader in aviation, committed to excellence and innovation.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and mentorship.
- Why this job: Make a lasting impact on data engineering while collaborating with talented teams.
- Qualifications: Experience in data engineering, SQL, Python, and cloud technologies required.
- Other info: We support diverse applicants and encourage you to reach out for assistance.
The predicted salary is between 43200 - 72000 £ per year.
Are you ready to lead the way in developing innovative data solutions at Virgin Atlantic? As a Senior Analyst – Data Engineering, you will lead the design, development, and optimization of ETL processes to ensure our data is reliable, high-quality, and efficient. Your leadership will mentor junior team members, promote best practices, and foster a culture of growth and excellence.
You will review new data sources, align them with business needs, and implement rigorous data quality checks to enhance our platform. By developing scalable, high-performance data models, you will work closely with data scientists and analysts to drive our analytics capabilities forward. Your technical leadership will shape the future of data engineering at Virgin Atlantic.
If you’re passionate about data engineering and thrive in a fast-paced, dynamic environment, this is your chance to make a lasting impact and take your career to new heights at Virgin Atlantic.
Day to day
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Lead the design, development, and optimisation of cutting-edge data engineering solutions to support critical business functions.
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Communicate with stakeholders keeping them up to date and making sure the solutions fulfil their requirements while also making sure they are developed to the required best practises.
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Work with cross-functional teams to gather insights, understand data needs, and create solutions that fuel business success.
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Develop and optimise data pipelines and ETL processes that ensure seamless, high-quality data movement across systems.
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Dive into data analysis and perform rigorous quality assessments to uncover and resolve data issues, ensuring flawless insights.
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Design and maintain dynamic data models and databases, empowering reporting and analytics that drive key decisions.
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Implement best-in-class data engineering strategies while upholding data governance standards to maintain the highest level of data integrity.
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Demonstrated ability to lead the design, development, and optimization of data pipelines and models, ensuring high performance and scalability.
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Experience in effective communication with senior stakeholders.
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Previous experience as a senior data engineer or in a similar role.
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Proficiency in SQL, Python, and data engineering tools, with hands-on experience in cloud technologies and scalable data warehouses.
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Databricks and Azure experience is highly beneficial.
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Understanding of data warehousing concepts and dimensional modelling.
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Excellent problem-solving and analytical skills.
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Proficiency in effectively operating within a dynamic, fast-paced and agile work setting.
To make your journey with us accessible and individual to you, we encourage you to let us know if you’d like a little extra help with your application, or if you have any individual requirements at any stage along your recruitment journey. We are here to support you, so please reach out to our team, (recruitment@fly.virgin.com) feeling confident that we’ve got your individual considerations covered.
Senior Analyst - Data Engineering (Databricks) - Crawley employer: Virgin Atlantic
Contact Detail:
Virgin Atlantic Recruiting Team
recruitment@fly.virgin.com
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analyst - Data Engineering (Databricks) - Crawley
✨Tip Number 1
Familiarize yourself with Databricks and Azure, as these are crucial for the role. Consider taking online courses or tutorials to enhance your skills in these specific technologies, which will demonstrate your commitment and readiness to hit the ground running.
✨Tip Number 2
Showcase your leadership abilities by preparing examples of how you've mentored junior team members or led projects in the past. This will help you stand out as a candidate who can not only perform the technical tasks but also foster a culture of growth within the team.
✨Tip Number 3
Brush up on your communication skills, especially in conveying complex data concepts to non-technical stakeholders. Being able to articulate your ideas clearly will be key in ensuring that your solutions meet business needs effectively.
✨Tip Number 4
Prepare to discuss your experience with data quality assessments and ETL processes. Be ready to share specific challenges you've faced and how you resolved them, as this will highlight your problem-solving skills and analytical mindset.
We think you need these skills to ace Senior Analyst - Data Engineering (Databricks) - Crawley
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Analyst - Data Engineering position. Highlight your relevant experience in data engineering, ETL processes, and leadership in your application.
Tailor Your CV: Customize your CV to reflect your experience with SQL, Python, and data engineering tools. Emphasize any hands-on experience with Databricks and Azure, as well as your ability to lead projects and mentor junior team members.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of Virgin Atlantic's business needs. Mention specific examples of how you've developed innovative data solutions and improved data quality in previous roles.
Highlight Communication Skills: Since effective communication with stakeholders is crucial for this role, provide examples in your application that demonstrate your ability to communicate complex data concepts clearly and effectively to non-technical audiences.
How to prepare for a job interview at Virgin Atlantic
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with SQL, Python, and data engineering tools. Highlight specific projects where you developed or optimized ETL processes, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Leadership Skills
Since this role involves mentoring junior team members, share examples of how you've led teams in the past. Discuss your approach to promoting best practices and fostering a culture of growth and excellence within your team.
✨Communicate Effectively with Stakeholders
Prepare to talk about your experience in communicating with senior stakeholders. Provide examples of how you've kept them informed and ensured that your solutions met their requirements while adhering to best practices.
✨Understand Business Needs
Research Virgin Atlantic's business model and data needs. Be ready to discuss how you would align new data sources with these needs and implement data quality checks to enhance the platform's reliability and efficiency.