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For Companies At a Glance
- Tasks: Deliver innovative data solutions and transform complex data into actionable insights.
- Company: Join Jet2.com, a leader in redefining travel experiences.
- Benefits: Enjoy remote work, annual pay reviews, and a generous profit share scheme.
- Why this job: Be part of a passionate team driving a data-first culture and making a real impact.
- Qualifications: Experience in data pipelines, cloud technologies, and strong SQL skills required.
- Other info: Dynamic, agile environment with limitless career potential.
The predicted salary is between 36000 - 60000 £ per year.
Overview
As our new Senior Data and Analytics Engineer, you\’ll work as part of a multi-disciplinary, agile, data delivery team focused on the delivery of innovative, robust, and efficient data solutions to complex business problems. You\’ll work alongside a team of passionate data professionals including other data and analytics engineers, test engineers, data scientists and data visualisation specialists.
As our Senior Data and Analytics Engineer, you’ll have access to a wide range of benefits including:
- Remote working
- Annual pay reviews
- Access to a generous discretionary profit share scheme
At Jet2.com and Jet2holidays we’re working together to deliver an amazing journey, literally! We work together to really drive forward a ‘Customer First’ ethos, creating unforgettable package holidays and flights. We couldn’t do it without our wonderful people.
What you’ll be doing
- You’ll be responsible for delivery of complex data and analytics solutions including the ingest of data from a wide variety of data sources into our analytics platforms (typically cloud-based but some work on our on-premise data analytics platforms), and the production of a range of data and analytics products including our data warehouse, analytical data sets and visualisations (supported by our central visualisation team).
- You will transform, cleanse and model our data into our enterprise data warehouse for consumption by both technical users and non-technical business users.
- You’ll drive a data-first culture both within the data team and across the business by supporting continual learning and development within your team and data enablement activity across the wider business.
- You will demonstrate a passion for data and encourage a similar passion within your team. As part of a data-first culture you may also be involved in supporting production data assets.
What you’ll have
- Demonstrable experience in development of data pipelines working with data from a wide variety of data sources including different database platforms, flat files, API’s and event-driven data feeds. Experience building complex data transformations ideally using dbt.
- Ideally, you’ll have experience working on the design and data modelling stages of data warehouse projects and be comfortable with conceptual, logical and physical data modelling techniques as well as dimensional modelling techniques.
- Experience using cloud data warehouse technology- Snowflake (preferred), Google BigQuery, AWS Redshift or Azure Synapse and experience working with key services on either GCP, AWS or Azure. Key services include cloud storage, containerisation, event-driven services, orchestration, cloud functions and basic security/user management.
- Experience working in an Agile delivery environment, ideally using Scrum and/or Kanban. Able to demonstrate strong written and verbal communication skills and be comfortable communicating and building relationships with stakeholders at all levels.
- Any experience developing or supporting data CI/CD pipelines regardless of tooling would be beneficial. We use Microsoft Azure DevOps to run most of our CI/CD pipelines.
- A strong understanding of SQL and be comfortable reading and writing complex SQL queries ideally across multiple platforms. Knowledge of programming languages such as Python would be beneficial.
- You’ll have experience working with data from a wide variety of data sources including different database platforms, flat files, API’s and event-driven data feeds.
Join us as we redefine travel experiences and create memories for millions of passengers. At Jet2.com and Jet2holidays, your potential has no limits. Apply today and let your career take flight!
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Senior Data & Analytics Engineer employer: Jet2.com Limited
Contact Detail:
Jet2.com Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data & Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and analytics field. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving complex data transformations or cloud technologies. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling techniques. Be ready to discuss your experience with data pipelines and cloud technologies. Practice common interview questions and think about how your past experiences align with the role at Jet2.com.
✨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 team at Jet2.com and contributing to our data-first culture.
We think you need these skills to ace Senior Data & Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data & Analytics Engineer role. Highlight your experience with data pipelines, cloud technologies, and any relevant projects that showcase your skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how your experience aligns with our mission at Jet2.com and Jet2holidays. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Technical Skills: Don’t forget to highlight your technical skills in SQL, cloud technologies, and data modelling techniques. We’re looking for someone who can hit the ground running, so make sure we know what you bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our amazing team!
How to prepare for a job interview at Jet2.com Limited
✨Know Your Data Tools
Make sure you brush up on your experience with data pipelines and cloud technologies like Snowflake or AWS. Be ready to discuss specific projects where you've built complex data transformations or worked with various data sources. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Agile Experience
Since the role involves working in an Agile environment, be prepared to share examples of how you've contributed to Agile teams. Talk about your experience with Scrum or Kanban, and how you’ve collaborated with cross-functional teams to deliver data solutions. This will highlight your adaptability and teamwork skills.
✨Communicate Clearly
Strong communication is key, especially when dealing with both technical and non-technical stakeholders. Practice explaining complex data concepts in simple terms. You might even want to prepare a few examples of how you've successfully communicated data insights in the past.
✨Demonstrate Your Passion for Data
Let your enthusiasm for data shine through during the interview. Share stories about how you've driven a data-first culture in previous roles or how you've supported learning and development within your team. This will resonate well with the company’s ethos and show that you’re a great cultural fit.
