Flight Optimization Data Engineer

Jeppesen ForeFlight; Odense; On-site; DKK 700,000 - 1,000,000; Full time

Benefits offered by this job

Health insurance

Pension plan

Generous paid vacation

Wellness allowance

Employee assistance program

Volunteer days

Employee referral program

Flight rewards

Flight stipend

Job summary

Jeppesen ForeFlight, Odense, Denmark, is seeking a Data Engineer to join a team building our next-generation Cost Index Optimization product. From our Odense office, you’ll own the data lakehouse, data quality, and the training datasets powering modeling efforts.

You will develop scalable data pipelines, feature engineering for the modeling team, and a savings reporting framework that quantifies fuel and cost savings for airline fleets.

Qualifications

• Strong data engineering experience with Python and SQL.
• Experience building lakehouse or warehouse solutions in production.
• Comfort working with large volumes of time-series data and data quality as a product feature.

Responsibilities

• Build the data lakehouse (Iceberg/S3, Bronze/Silver/Gold layers) for flight data at fleet scale.
• Own data quality at the ingestion boundary with automated validation and cross-checks against sources like ADS-B.
• Build per-tail training datasets and the feature engineering layer for the modeling team.
• Develop the savings reporting framework that quantifies fuel and cost savings per customer fleet.
• Support large-scale reprocessing as models and quality rules evolve.

Skills

Python

SQL

Lakehouse data stack

Tools

Iceberg

Delta Lake

AWS

S3

Job description

Jeppesen ForeFlight, Odense, Denmark, is seeking a Data Engineer to join a team building our next-generation Cost Index Optimization product. From our Odense office, you’ll own the data lakehouse, data quality, and the training datasets powering modeling efforts.

You will develop scalable data pipelines, feature engineering for the modeling team, and a savings reporting framework that quantifies fuel and cost savings for airline fleets.