Data Engineer - Snowflake at Capco Singapore

Zurich, Zurich, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

07 Jan, 26

Salary

0.0

Posted On

09 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Snowflake, Python, Data Modeling, Data Ingestion, Performance Tuning, Data Governance, Data Sharing, Cost Management, SQL, Data Transformation, Containerization, Infrastructure as Code, Data Quality, Collaboration, Communication, Fluency in English

Industry

Financial Services

Description

Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. About Capco Capco is a global technology and business consultancy, focused on the financial services and energy sectors. We are passionate about helping our clients succeed in an ever-changing industry. We are: Experts in capital markets, banking and payments, wealth and asset management and energy. Deep knowledge in financial services offering, including e.g. Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focus on maintaining our nimble, agile and entrepreneurial culture YOUR CAPCO DAY Design, build, and operate robust Snowflake data pipelines and a governed semantic layer. Deliver secure, observable, and cost-efficient data products that power analytics and Artificial Intelligence use cases. YOUR CAPCO FIT Strong hands-on experience with Snowflake: data modeling, ingestion (for example Snowpipe and tasks), performance tuning (for example micro-partitioning and clustering), governance (for example role-based access control, masking, and row or column policies), data sharing, and cost management. Professional Python experience: building data pipelines and utilities; using the Snowflake Connector for Python and Snowpark for Python; writing efficient, tested code (for example unit tests and packaging); automating administrative tasks; and interacting with application programming interfaces. Proven delivery of end-to-end data products: extraction, transformation, loading, testing, versioning, observability, and documentation. Solid Structured Query Language (SQL) skills and experience with a modern transformation framework (for example dbt or an equivalent). Infrastructure and operations: containerization with Docker, infrastructure as code with Terraform, and pipelines with GitHub Actions or an equivalent. Strong practices for data quality, lineage, privacy, and incident response. Requirements elicitation and solution design; clear communication with data consumers and platform teams. Collaboration across multiple work streams; code reviews and knowledge sharing. Results orientation with measurable service-level objectives and continuous improvement. Fluency in English plus fluent German (for Zürich based candidates) or fluent French (for Geneva based candidates). Ready to take the Next Step If this sounds like you, we would love to hear from you. This is an opportunity to make a difference and contribute to a highly successful company with a significant growth trajectory.

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Responsibilities

Design, build, and operate robust Snowflake data pipelines and a governed semantic layer. Deliver secure, observable, and cost-efficient data products that power analytics and Artificial Intelligence use cases.