Data Engineer – Cost Index Optimization

Foreflight; Odense; Hybrid; DKK 800,000 - 1,100,000; Full time

Benefits offered by this job

Health insurance

Pension plan

Extra paid vacation during Christmas

Health and wellness allowance

Employee assistance program

Volunteer days

Employee referral program

Flight rewards and flight stipend

Job summary

Jeppesen ForeFlight in Odense is seeking a Data Engineer to own the data platform behind a new flight optimization engine. You will build the data lakehouse, ensure data quality at the ingestion boundary, and create training datasets for the modeling team.

Join a globally oriented engineering group focused on fuel efficiency and emissions reduction, with a strong emphasis on scalable data pipelines, batch processing on AWS, and modern lakehouse technologies. Experience with Python and SQL is key.

Qualifications

• 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.

Responsibilities

• 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 and cross-checks against sources like ADS-B.
• Build per-tail training and validation datasets and the feature engineering layer for the modeling team.

Skills

Python

SQL

lakehouse/warehouse stack

AWS: S3, batch processing

data quality

time-series data

data pipelines

Tools

Iceberg

Delta

Job description

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.

Our benefits package includes 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, and flight rewards and a flight stipend.