Data Engineer – Cost Index Optimization

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

Engineering | Odense, Denmark | Full-Time

Jeppesen ForeFlight builds software that airlines and pilots around the world rely on every day. From our Odense office, you'll join an international engineering organization where your work has a direct, measurable impact on airline fuel efficiency and emissions.

Own the data platform behind a new flight optimization engine

We're hiring a Data Engineer for a new team building our next-generation Cost Index Optimization (CIO) product. Decoded flight recorder (QAR) data arrives from upstream providers - everything after that is yours: the lakehouse, data quality, per-tail training datasets, and the savings reporting our airline customers see.

What You'll Do

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

What We're Looking For

• Strong data engineering experience with Python, SQL, and a modern lakehouse or warehouse stack (Iceberg, Delta, or similar) in production
• Experience running pipelines on AWS (S3, batch processing/orchestration, infrastructure as code)
• A data-quality mindset - you treat validation as a product feature, not an afterthought
• Comfort working with large volumes of noisy sensor or time-series data
• Interest in aviation is a plus; domain expertise is not required

Why Join Jeppesen ForeFlight?

We believe a rewarding career is built on meaningful challenges, a supportive environment, and great colleagues. At Jeppesen ForeFlight, we empower our employees to make a direct impact on our products and services while supporting their overall wellbeing.

Benefits

• comprehensive health insurance
• a pension plan
• generous paid vacation plus additional time off during Christmas
• a health and wellness allowance
• an employee assistance program
• two paid volunteer days annually
• an employee referral program
• flight rewards and a flight stipend