Data Engineer at Swissquote

Gland, Vaud, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

13 Apr, 26

Salary

0.0

Posted On

13 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, Snowflake, DBT, Relational Databases, Python, Git, Collaboration, Data Modeling, Performance Tuning, Data Pipelines, Automation, Data Quality, Business Intelligence, Agile, Data Governance

Industry

Banking

Description

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 +650’000 clients, through our performant and secured digital platforms. Our +1200 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. Have a look behind the scenes by checking Humans of Swissquote on Instagram. 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 skilled and proactive Data Engineer to join our Data Engineering & BI team. In this role, you will contribute to the design, development, and maintenance of our data infrastructure, working closely with both technical and business teams. You’ll play an important part in building reliable, scalable data solutions, with a strong focus on Snowflake, DBT, and SQL, to support analytics and decision-making across the organization. Your responsibilities will include: Design, implement, and maintain Snowflake architecture, including data modeling, security, performance tuning, and cost optimization. Build and maintain DBT models with clear structure, testing, and documentation aligned with business logic and transformation best practices. Write, optimize, and maintain SQL queries across Snowflake and traditional RDBMS (Oracle, PostgreSQL, etc.). Develop and automate data pipelines using Python for data extraction, transformation, and loading. Use Git for version control and participate in CI/CD workflows. Collaborate with business stakeholders to understand data needs and deliver scalable, self-service data solutions. Support reporting and BI platforms (such as Tableau), ensuring data quality, performance, and usability. Contribute to technical standards, best practices, and continuous improvement within the data team. Qualifications Required: 3–5+ years of experience in data engineering or a similar role. Strong SQL skills, with the ability to write clear, efficient, and maintainable queries. Hands-on experience with Snowflake, including data modeling and performance considerations. Practical experience using DBT for data transformations and model organization. Good understanding of relational databases and their performance characteristics. Proficiency in Python for scripting and automation. Experience with Git and collaborative development workflows. Good communication skills and the ability to work effectively with both technical and business teams. Nice to have: Experience with Tableau or similar BI/reporting tools. Familiarity with data governance concepts (cataloging, lineage, RBAC). Exposure to event-based or streaming architectures (Kafka, Confluent, etc.). Experience working in Agile environments (Scrum, Kanban). Additional Information SQ2 Managerial role: No

Responsibilities

The Data Engineer will design, develop, and maintain data infrastructure, focusing on Snowflake, DBT, and SQL. They will collaborate with technical and business teams to build scalable data solutions for analytics and decision-making.