Building the bank of tomorrow takes more than skills. , It means combining our differences to imagine, discuss, code, develop, test, learn… and celebrate every step together. Share our vibes? Join Swissquote to unleash your potential

• We are the Swiss Leader in Online Banking and we provide trading, investing and banking services to +500’000 clients, through our performant and secured digital platforms
• Our +1000 employees work in a flexible way, without dress code and in multicultural teams. , By having a huge impact on the industry, they are growing their skills portfolio and boosting their career in a fast-pace environment
• We are all in at Swissquote. As an equal opportunity employer, we welcome candidates from all backgrounds, experiences and perspectives to join our team and contribute to our shared success

Job Description

• We’re looking for a highly skilled and proactive Senior Data Engineer to join our Data Engineering & BI team
• This role combines deep technical expertise, business collaboration, and a strong mentoring and leadership mindset. You'll be a key player in designing and scaling our data infrastructure, with a strong focus on Snowflake, DBT, and SQL, while ensuring we deliver high-value, reliable data solutions to support business teams across the organization
• Design, implement, and , including data modeling, security, performance tuning, and cost optimization
• Build and maintain with clear structure, testing, documentation aligned with business logic and transformation best practices, and manage the environment
• Write, optimize, and maintain across (Oracle, PostgreSQL, etc.)

complex SQL queries

• Snowflake and traditional RDBMS
• Develop and automate robust using for extraction, transformation, and loading
• data pipelines

Python

• Use for collaborative version control and develop CI/CD workflows
• Engage with to understand their needs and build scalable, self-service data solutions
• Administer or support (such as Tableau), ensuring performance, governance, and ease of use
• reporting platforms
• standardization, and architectural best practices within the team
• Drive technology choices
• fostering a culture of excellence, continuous learning, and cross-functional support

Qualifications

• 7+ years of experience in data engineering or a similar role, in a modern cloud-based data environment
• you write clean, optimized, and maintainable queries effortlessly
• Expert-level SQL skills
• Advanced experience with (security, architecture, optimization)
• Strong hands-on expertise with for transformation pipelines and model governance
• Deep understanding of and their performance characteristics
• traditional relational databases
• Solid proficiency in for scripting and automation tasks
• Experience with and collaborative development workflows
• Strong interpersonal and communication skills to work effectively with both technical and business teams
• Proven ability to , introduce new tools or practices, and
• lead technical decisions

Nice to have:

• Experience administering or supporting or similar reporting tools
• Familiarity with data governance concepts (cataloging, lineage, RBAC)
• Event based workflow implementation (Kafka, Confluent,...)
• Exposure to Agile methodologies (Scrum, Kanban)

You’ll be part of a data-driven culture where your input shapes the stack, the strategy, and the future of data at the company. You’ll have space to lead, build, and grow—with the support of a collaborative team and clear business impact