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Snowflake Senior Developer

Resourgenix Ltd
Posted 12 days ago, valid for 5 days
Salary

£375 - £450 per year

Contract type

Full Time

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Sonic Summary

info
  • We are looking for a Snowflake Senior Developer in London with a hybrid work model.
  • The role requires strong expertise in Snowflake, ETL/ELT, data modeling, and data warehousing, along with a minimum of 5 years of relevant experience.
  • Responsibilities include building and optimizing Snowflake objects, developing robust data pipelines, and ensuring data quality and governance.
  • Candidates should possess strong SQL and Python skills, experience with ETL/ELT tools, and familiarity with cloud platforms, preferably Azure.
  • The position offers a competitive salary of £80,000 to £100,000, depending on experience.

Snowflake Senior Developer

Location: London (Hybrid)

Seniority: Senior Individual Contributor

Reports to: Data Engineering Lead / Manager

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Summary of role

We are seeking a Snowflake Senior Developer to design, develop, and optimise data solutions on our cloud data platform. You will work closely with data engineers, analysts, and architects to deliver high-quality, scalable data pipelines and models. Strong expertise in Snowflake, ETL/ELT, data modelling, and data warehousing is essential.

Responsibilities

Snowflake Development: Build and optimise Snowflake objects (databases, schemas, tables, views, tasks, streams, resource monitors).

ETL/ELT Pipelines: Develop and maintain robust data pipelines using tools like dbt, Airflow, Azure Data Factory, or similar.

Data Modelling: Implement dimensional models (star/snowflake schemas), handle SCDs, and design efficient structures for analytics.

Performance Tuning: Optimise queries, manage clustering, caching, and warehouse sizing for cost and speed.

Data Quality: Implement testing frameworks (dbt tests, Great Expectations) and ensure data accuracy and freshness.

Security & Governance: Apply RBAC, masking policies, and comply with data governance standards.

Collaboration: Work with BI teams to ensure semantic alignment and support self-service analytics.

Documentation: Maintain clear technical documentation for pipelines, models, and processes.

Qualifications

Matric and a Degree in IT

Strong SQL skills (complex queries, performance tuning) and proficiency in Python for data processing.

Experience with ETL/ELT tools (dbt, Airflow, ADF, Informatica, Matillion).

Solid understanding of data warehousing concepts (Kimball, Data Vault, normalization).

Familiarity with cloud platforms (Azure preferred; AWS/GCP acceptable).

Knowledge of data governance, security, and compliance (GDPR).

Excellent problem-solving and communication skills.

Skills

Experience with Snowpark, UDFs, dynamic tables, and external tables.

Exposure to streaming/CDC (Kafka, Fivetran, Debezium).

BI tool integration (Power BI, Tableau, Looker).

Certifications: SnowPro Core or Advanced.

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