About Luxtrust
We are a multicultural and forward-thinking qualified Trust Services Provider based in Capellen, Luxembourg, with over 110 professionals and actively expanding our business internationally. We provide state-of-the-art on on-boarding, digital identities, strong authentication and security services, and qualified electronic signatures, all bundled into integrated digital documents & identity management solutions.
As a Trusted Partner, we prioritize building long-lasting relationships with our international clients and stakeholders, based on trust and integrity. We strive to be a Committed Partner, dedicating ourselves to delivering exceptional performance and showing steadfast commitment to make a positive impact. As a Visionary Scout, we are constantly seeking out new opportunities for growth and innovation, always staying ahead of the curve in our industry.
Join us in our mission to drive innovation and co-create a better future!
We are currently looking for a motivated and driven Full-Stack Engineer under a permanent contract.
Summary
The Full-Stack Data Engineer is responsible for managing the entire data lifecycle, from data collection and infrastructure to analysis and business insights delivery. This role combines strong back-end data engineering capabilities with front-end analytics and visualization expertise.
Key responsibilities include designing and maintaining data pipelines (ETL/ELT), collecting and transforming data from APIs and databases, and structuring scalable data architectures. The role also involves performing data analysis, generating actionable insights, and creating interactive dashboards and reports using tools such as Power BI. Strong proficiency in Python, SQL and modern data architecture practices is essential.
Missions of the role
- Develop and maintain data architectures, data models, and data warehouses to ensure data reliability, consistency, and accessibility
- Design, develop, and maintain scalable and high-quality data solutions using Python, SQL, and modern data engineering practices
- Build and optimize automated data pipelines (ETL/ELT) to collect, process, transform, and store data from multiple sources such as APIs, databases, files, and external systems
- Perform data cleansing, validation, and transformation activities to improve data quality and usability
- Conduct exploratory data analysis (EDA) and statistical analysis to identify trends, patterns, anomalies, and business insights.
- Create and maintain interactive dashboards, visualizations and reporting solutions
- Develop back-end components and data services supporting analytics, automation and machine learning initiatives
- Monitor and optimize the performance, scalability and reliability of data workflows and systems
- Participate in code reviews and contribute to the continuous improvement of coding standards, processes and best practices
- Participate in the design, integration, testing, debugging and deployment of data applications and systems
- Collaborate with the Data team to assess and implement business requirements, and deliver scalable and efficient data solutions
- Write and maintain technical documentation and operational manuals for developed tools and solutions
- Provide level 3 support for Data Platforms and tools, including troubleshooting, incident resolution and problem management
- Stay up to date with emerging technologies, data engineering trends and analytics best practices
- Carry out any other duties as assigned
Required skills
Qualifications / diploma(s): Bachelor’s degree in computer science or a related field
Years of experience in the area: 3-5 years of experience in data engineering, analytics engineering, or back-end data development using Python and SQL
Technical Competencies:
- Strong proficiency in Python and SQL for data processing, automation, and analysis
- Experience with data engineering and ETL/ELT pipelines
- Knowledge of data transformation tools such as dbt
- Familiarity with relational databases and data warehousing concepts
- Experience integrating data from APIs and multiple data sources
- Proficiency with data visualization and reporting tools (Power BI, Tableau, Looker…)
- Familiarity with workflow orchestration tools such as Airflow or similar
- Basic understanding of cloud data platforms (Azure, AWS, GCP, Snowflake, BigQuery, etc.)
- Knowledge of version control tools and development best practices (Git, testing, debugging, code reviews)
Languages: Fluent in French and in English. Any other language is an asset.
Specific skills:
- Ability to translate business needs into scalable and efficient data solutions
- Ability to work effectively in cross-functional and international teams
- Strong attention to detail and data quality
- Autonomous, proactive and solution-oriented mindset
- Ability to manage multiple tasks and adapt to changing priorities
- Excellent communication and team-building skills
- Strong at solving problems with innovation and resourcefulness
- Familiarity with data science, artificial intelligence, and machine learning concepts
- Curiosity and willingness to learn new technologies and data practices
- Has a can-do attitude and a learner’s mindset
Core competencies at LuxTrust:
- Analytical mindset & decision making
- Organizational fluency
- Personal effectiveness
- Results-driven
- Client service mindset
- Strategic vision
- Leadership
WHAT WE OFFER
A permanent contract based in Luxembourg
A competitive salary, in accordance with your education and experience.
Attractive benefits and advantages including an employee benefit plan, meal vouchers and additional holidays.
A healthy work-life balance including flex work arrangements.
An open and transparent career path.
Development and growth opportunities in a state-of-the art digital company.
Our company is committed to fair recruitment, based on the skills of each candidate, regardless of gender nationality, sexual orientation, religion, or any other discriminatory criterion.
Please note that in order to comply with our regulatory requirements an extract of the criminal record is requested upon entry into service.