Data Analytics Engineer — Hybrid, Data Pipelines & Impact

easyJet Airline Company PLC; Greater London; Hybrid; GBP 55,000 - 75,000; Full time

Job summary

A leading low-cost airline in the UK is seeking a Data Analytics Engineer to join its data-driven teams. The successful candidate will be responsible for ensuring data quality, creating analytical pipelines, and supporting product development. Strong skills in Python and SQL are essential, along with experience in cloud platforms and data analytics tools. The role operates under a hybrid working policy, promoting collaboration while allowing flexibility. Attractive benefits include a competitive salary, bonus potential, and other perks.

Benefits

Competitive base salary

20% bonus potential

25 days holiday

Pension scheme

Flexible benefits package

Discounted staff travel for friends and family

Annual holiday discounts

‘Work Away’ scheme

Electric vehicle lease scheme

Qualifications

• Strong Python skills for data manipulation and automation.
• Proficient in SQL for database management.
• Experience with troubleshooting data pipeline issues.
• Familiar with analytics tools like Tableau and ThoughtSpot.
• Knowledge of cloud platforms like AWS and GCP.

Responsibilities

• Develop and implement data governance standards.
• Drive resource allocation for maximum efficiency.
• Manage data flows across the data Lakehouse.
• Ensure data quality through monitoring.
• Troubleshoot pipeline issues and optimize performance.

Skills

Python for data manipulation

SQL for querying and managing data

Tableau familiarity

Troubleshooting data pipelines

Cloud platforms (AWS, GCP)

APIs and third-party systems

Team collaboration

Innovative mindset

Results-oriented

Tools

Pandas

NumPy

Databricks

Redshift

BigQuery

Snowflake

Job description

A leading low-cost airline in the UK is seeking a Data Analytics Engineer to join its data-driven teams. The successful candidate will be responsible for ensuring data quality, creating analytical pipelines, and supporting product development. Strong skills in Python and SQL are essential, along with experience in cloud platforms and data analytics tools. The role operates under a hybrid working policy, promoting collaboration while allowing flexibility. Attractive benefits include a competitive salary, bonus potential, and other perks.