Data Analytics Engineer: Live Dashboards & Pipelines

Data Analytics Engineer: Live Dashboards & Pipelines

Full-Time 40000 - 50000 Β£ / year (est.) No working from home possible
easyJet Airline Company PLC

At a Glance

  • Tasks: Build data pipelines and visualisations to empower the business with essential insights.
  • Company: Join easyJet Holidays, a leader in travel innovation and technology.
  • Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving innovation in the travel sector.
  • Why this job: Make a real impact by transforming data into actionable insights for the travel industry.
  • Qualifications: Experience in data analytics and a passion for collaboration and mentorship.

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

easy Jet Holidays is seeking a Data Analytics Engineer to join the Technology Team near Luton.

You will build data pipelines and visualisations enabling the wider business to access essential data, while collaborating with stakeholders to translate goals into practical data products.

You will work closely with Data Engineering and Data Science to deliver analytical solutions, maintain governance, and mentor other analytics professionals.

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Data Analytics Engineer: Live Dashboards & Pipelines employer: easyJet Airline Company PLC

easyJet Airline Company PLC is an excellent employer that prioritises employee engagement and inclusivity, making it a fantastic place for those passionate about people insights. Located in Luton, the company offers a vibrant work culture with opportunities for professional growth, competitive benefits such as performance bonuses and health insurance, and unique travel perks that enhance the overall employee experience.

easyJet Airline Company PLC

Contact Details:

easyJet Airline Company PLC Recruitment Team

We think you need these skills to ace Data Analytics Engineer: Live Dashboards & Pipelines

Communication Skills
SQL
Python
Problem-Solving Skills
Automation
Data Engineering
Data Pipeline Development