Senior Data Engineer

Company Description

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.

Are you all in? Don’t be shy, apply!

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 administer Snowflake architecture, including data modeling, security, performance tuning, and cost optimization.
• Build and maintain DBT models with clear structure, testing, documentation aligned with business logic and transformation best practices, and manage the environment.
• Write, optimize, and maintain complex SQL queries across Snowflake and traditional RDBMS (Oracle, PostgreSQL, etc.).
• Develop and automate robust data pipelines using Python for extraction, transformation, and loading.
• Use Git for collaborative version control and develop CI/CD workflows.
• Engage with business stakeholders to understand their needs and build scalable, self-service data solutions.
• Administer or support reporting platforms (such as Tableau), ensuring performance, governance, and ease of use.
• Drive technology choices, standardization, and architectural best practices within the team.
• Mentor junior team members, 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.
• Expert-level SQL skills — you write clean, optimized, and maintainable queries effortlessly.
• Advanced experience with Snowflake (security, architecture, optimization).
• Strong hands-on expertise with DBT for transformation pipelines and model governance.
• Deep understanding of traditional relational databases and their performance characteristics.
• Solid proficiency in Python for scripting and automation tasks.
• Experience with Git and collaborative development workflows.
• Strong interpersonal and communication skills to work effectively with both technical and business teams.
• Proven ability to lead technical decisions, introduce new tools or practices, and mentor junior engineers.

Nice to have:

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

Additional Information

Why join us?
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.

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