Tessero is seeking a Senior Data Engineer SQL for one of its clients based in Luxembourg.

• Contract: Consulting Assignment
• Salary: Competitive package based on experience
• Location: Luxembourg (onsite during the first months, with flexible remote work options thereafter)
• Languages: English mandatory, French or German considered an asset
• Experience: 5+ years in Data Engineering or SQL-focused engineering roles

Context

• Join an experienced data team working on strategic initiatives focused on data transformation, governance, and analytics.
• Contribute to the evolution of a modern enterprise data platform and play a key role in shaping data architecture standards.
• Work in an international environment alongside business, finance, risk, compliance, and technology stakeholders.
• Expand your expertise in Data Vault 2.0, advanced data modeling, data quality, and large-scale data platforms.
• Take ownership of high-impact projects that directly support business intelligence, regulatory reporting, and decision-making processes.

Responsibilities

• By developing and optimizing complex SQL transformations, you will strengthen your expertise in large-scale data processing and contribute to business-critical analytics solutions.
• By enhancing enterprise data models, including Data Vault, dimensional, and 3NF structures, you will work on modern architectures while deepening your data modeling capabilities.
• By implementing data quality controls, validation rules, and testing frameworks, you will help ensure trusted and reliable data across the organization.
• By building and maintaining SQL-centric ETL/ELT pipelines, you will contribute to scalable and efficient data ecosystems while expanding your engineering expertise.
• By leveraging Python for automation and integrations, you will broaden your technical skill set and help improve operational efficiency.
• By implementing batch, incremental, and near real-time ingestion patterns, you will gain exposure to modern data integration practices.
• By collaborating with business, finance, risk, and compliance teams, you will develop a strong understanding of organizational challenges and deliver impactful data solutions.
• By supporting BI initiatives and data consumption layers, you will help drive business insights and strategic decision-making.
• By contributing to platform improvements and engineering best practices, you will have a direct influence on the evolution of the organization's data landscape.
• By applying high standards in version control, documentation, testing, and code quality, you will work within a mature engineering environment that encourages continuous learning.

Skills

Education

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.

Experience

• Minimum 5 years of experience in Data Engineering or SQL-heavy backend engineering roles.
• Proven experience working with enterprise-scale data models.
• Experience within banking or financial services is considered a strong advantage.

Technical Skills

• Expert-level SQL and performance optimization skills.
• Strong experience with dbt (Data Build Tool).
• Hands-on expertise with Data Vault 2.0 methodologies.
• Experience designing and maintaining ETL/ELT pipelines.
• Strong knowledge of dimensional modeling, SCDs, and 3NF architectures.
• Python scripting and automation experience.
• Exposure to Tableau or other Business Intelligence platforms is a plus.
• Knowledge of Core Banking platforms such as Temenos T24/Transact or Triple'A is considered an advantage.

Languages

• Fluent English (written and spoken).
• French and/or German are considered assets.

Soft Skills

• Strong communication and stakeholder management skills.
• Analytical mindset and attention to detail.
• Proactive and solution-oriented approach.
• Ability to work effectively in agile environments.
• Strong sense of ownership and commitment to quality.

Why Apply?

This is an excellent opportunity for an experienced Data Engineer looking to work on large-scale data transformation initiatives within an international environment. You will gain exposure to modern data architectures, collaborate with senior stakeholders, and contribute to strategic projects that deliver tangible business value while advancing your technical and professional development.