Data Engineer - Group Business Intelligence

Luxaviation Group is looking for a qualified candidate to join our Group Business Intelligenc e team in the role of Data Engineer , based at our headquarter offices in Luxembourg .

As a Data Engineer, you will contribute to the development of the Group's data and analytics capabilities, enabling data-driven decision-making across the business. Working at the intersection of data engineering, business intelligence, and emerging AI technologies, you will help transform complex data into trusted insights that support operational and strategic objectives.

Key Responsibilities

Design, develop and manage ETL/ELT processes to extract, transform, and load data from various sources into data warehouses

Build, schedule and monitor data pipelines in code — primarily Python, orchestrated with Apache Airflow — ensuring reliable and timely delivery of data

Contribute to the migration of existing tool-based ETL jobs to code-based, version-controlled pipelines

Design, develop and manage BI models in a Datawarehouse (star schemas, snowflakes)

Prepare data for analysis, ensuring it is organized and accessible

Structure and document data models, metrics and metadata so they are consumable by AI-assisted analytics (semantic models, natural-language querying, Copilot-style features in our BI platform)

Use AI tools in day-to-day engineering work — code and query generation, documentation, test creation, troubleshooting — while reviewing and validating all output before it reaches production

Interact with Business Users to identify, document and implement business rules

Implement data quality checks and monitoring solutions to ensure data integrity and accuracy

Optimize database performance, including query tuning and indexing

Work closely with cross functional teams to support data visualization and reporting needs

Provide support and user training for company reporting tools, including guidance on the effective and responsible use of AI features within them

Stay up-to-date with the latest industry trends and technologies, in particular the evolving role of AI in data engineering and BI, to continuously improve our practices

Qualifications, Experience & Knowledge

Essential

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field

Minimum of 3 years of experience in data engineering, designing ETL, data warehouse solutions

Strong understanding of ETL/ELT principles and patterns: full and incremental loads, change data capture, dependency and scheduling design, error handling

Strong understanding of data modelling and data warehousing

Good knowledge of data visualization tools (e.g., Power BI, Tableau)

Strong proficiency in SQL

Proficiency in Python for data engineering, automation and scripting

Desirable

Experience with workflow orchestration tools, in particular Apache Airflow

Familiarity with AI capabilities embedded in BI platforms (e.g., Microsoft Copilot in Power BI, natural-language Q&A) and what makes a data model work well with them

Experience with cloud tools

Knowledge of additional programming languages such as Java

Any data related certification or training program is considered an advantage

Business Aviation experience is an advantage

Practical experience using AI assistants (e.g., GitHub Copilot, Claude, ChatGPT) in a development workflow

Competencies

Essential

Ability to analyze complex data problems and derive actionable insights

Keen eye for detail to ensure data accuracy and integrity

Critical judgement when working with AI-generated code, queries or insights — able to verify rather than accept results at face value

Strong ability to work collaboratively with cross-functional teams

Clear and effective communication skills, both written and verbal

Ability to work in a fast-paced environment and manage multiple tasks simultaneously