Lead Snowflake Developer

Your background and skills include:

• Extensive hands-on experience designing and developing enterprise data warehouse solutions on Snowflake, supported by advanced SQL and dimensional data modelling skills.  
• Strong experience building reliable ELT/ETL pipelines and orchestrated data workflows using Python and modern data integration tools.  
• Proven ability to optimize Snowflake query performance, warehouse utilization, scalability, and cost for high-volume data workloads.  
• Practical knowledge of secure cloud data engineering, including role-based access control, data protection, auditability, lineage, and regulatory compliance requirements.  
• Demonstrated technical leadership through solution design, code reviews, CI/CD and testing practices, stakeholder collaboration, and mentoring of data engineers.  

It would be ideal if you also:

• Hold a SnowPro certification or equivalent credentials demonstrating advanced expertise in Snowflake architecture and development.  
• Have experience with Snowpark, dbt, stream and task automation, or Snowflake capabilities such as secure data sharing and Cortex AI.  
• Bring experience from banking, financial services, or regulatory reporting environments with demanding data governance, lineage, audit, and resilience requirements.  

You will thrive in this role if you:

• Combine deep Snowflake expertise with a practical, hands-on approach to designing scalable data platforms and solving complex engineering challenges.
• Translate business and regulatory requirements into secure, reliable, and maintainable data solutions in close collaboration with stakeholders and engineering teams.
• Take ownership of technical direction, make sound architectural decisions, and drive delivery from design through production support.
• Raise engineering standards through mentoring, constructive code reviews, and consistent practices for quality, governance, automation, and operational resilience.
• Communicate clearly, act proactively, and balance delivery priorities with performance, cost, security, and long-term maintainability.

,[Lead the design and development of scalable Snowflake data platforms, dimensional models, and reliable data pipelines for regulatory reporting and enterprise analytics. , Set the technical direction and ensure solution designs, SQL, and code meet standards for quality, maintainability, security, and regulatory compliance. , Optimize Snowflake performance and cost through effective query tuning, warehouse sizing, workload management, and platform monitoring. , Drive consistent engineering practices for data modelling, lineage, automated testing, CI/CD, deployment, observability, and operational resilience. , Collaborate with business and technology stakeholders, mentor engineers, and promote continuous improvement across the data platform team. ] Requirements: Snowflake, Data pipelines, SQL, Security, Data modelling, Automated testing, CD, Combine, Data warehouse, ETL, Python, Data engineering, Role-based access control, CI/CD, Testing, dbt, AI, Audit Additionally: Maternity leave, Training budget, Sport subscription, Small teams, International projects, Free coffee, In-house trainings, In-house hack days, Modern office, Startup atmosphere, No dress code.