Remote Data & Analytics Engineer: Build Trusted Datasets

Remote Data & Analytics Engineer: Build Trusted Datasets

Full-Time 40000 - 50000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop and maintain analytics-ready datasets while collaborating with teams.
  • Company: Join Jet2.com and Jet2holidays, a leader in redefining travel experiences.
  • Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
  • Other info: Be part of an agile team in a dynamic environment.
  • Why this job: Make an impact in the travel industry by building trusted datasets.
  • Qualifications: Experience in analytics pipelines and cloud data warehousing concepts.

The predicted salary is between 40000 - 50000 Β£ per year.

Jet2.com and Jet2holidays is seeking a Data & Analytics Engineer to join their agile team in Leeds. The role involves developing and maintaining analytics-ready datasets, implementing transformations using SQL and dbt, and collaborating with various teams to ensure data quality.

The ideal candidate will have experience in building analytics pipelines and a strong understanding of cloud data warehousing concepts.

Join us now to redefine travel experiences!

Remote Data & Analytics Engineer: Build Trusted Datasets employer: Jet2.com and Jet2holidays

At Jet2.com and Jet2holidays, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture in the vibrant city of Leeds. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages creativity and teamwork. Join us to not only advance your career as a Data & Analytics Engineer but also to be part of a company that is redefining travel experiences for our customers.

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Contact Details:

Jet2.com and Jet2holidays Recruitment Team

We think you need these skills to ace Remote Data & Analytics Engineer: Build Trusted Datasets

Communication Skills
Problem-Solving Skills
Python
SQL
Data Quality Assurance
Data Engineering
Data Pipeline Development