Data Engineer with Snowflake

Senior Data Engineer

About the Role

As a Senior Data Engineer, you'll contribute across multiple data initiatives, helping drive operational excellence, cost efficiency, and data quality across the business.

We believe in empowering decision-making with real-time analytics. All of our data is centralized in a single platform and made accessible through Snowflake. We aim for simplicity, reusability, and transparency in everything we build.

What You'll Be Working On

As a senior member of a multidisciplinary data team, you will:

• Develop robust data models in Snowflake to support financial, regulatory, and operational reporting.
• Identify opportunities to optimize cost and performance of our Data Warehouse.
• Define and enforce best practices for data modelling, metadata management, testing, and source payload design.
• Collaborate across teams to promote standards and scalable ways of working with data.
• Help monitor and improve data quality across the warehouse through collaboration and investigation.
• Prioritize and contribute to the resolution of data governance issues.

You Should Apply If You Have

• Experience and enthusiasm for data modelling, ETL projects, and big data technologies.
• Proficiency in Python, Java, or a similar programming language.
• Strong knowledge of SQL and data warehousing concepts.
• A proactive mindset: you look for ways to improve systems and processes.
• Experience building reliable and high-control data pipelines and datasets.

Nice to Have

• Experience working in finance, accounting, or highly regulated environments (e.g. healthcare, banking, gaming).
• Understanding of regulatory reporting or treasury operations in retail banking.
• Experience with dbt, Databricks, or similar tools.
• Familiarity with Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible.
• Experience with workflow orchestration tools like Airflow or Prefect.
• Comfortable working in Agile environments (Scrum, Kanban).