Flight Data Platform Engineer for Cost Index Optimization

Aviation Cloud; Odense; On-site; DKK 900,000 - 1,200,000; Full time

Benefits offered by this job

Health insurance

Pension plan

Paid vacation

Health & wellness allowance

Employee assistance program

Volunteer days

Employee referral program

Flight rewards

Job summary

Jeppesen ForeFlight in Odense is hiring a Data Engineer to own the data lakehouse for our next-generation flight optimization engine. You will build the data lakehouse, ensure data quality at ingestion, and create per-tail training datasets and savings reporting for airline customers.

You'll work with Python and SQL in production, run pipelines on AWS, and analyze large time-series sensor data. Aviation interest is a plus; domain expertise is not required as you join an international team

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, 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

Skills

Python

SQL

Data engineering

Data quality mindset

Large-scale data processing

Tools

Iceberg

Delta Lake

AWS

S3

Job description

Jeppesen ForeFlight in Odense is hiring a Data Engineer to own the data lakehouse for our next-generation flight optimization engine. You will build the data lakehouse, ensure data quality at ingestion, and create per-tail training datasets and savings reporting for airline customers.

You'll work with Python and SQL in production, run pipelines on AWS, and analyze large time-series sensor data. Aviation interest is a plus; domain expertise is not required as you join an international team