Data Engineer

Summary: The Data Engineer role focuses on leveraging skills in Snowflake, DBT, and Airflow to manage and model data effectively. The position requires a strong understanding of cloud computing and data governance, alongside proficiency in SQL and Python. The ideal candidate will have experience in data-related projects and the ability to collaborate with product owners and stakeholders. A proactive attitude and willingness to learn new technologies are essential for success in this role.

Key Responsibilities:

• Develop and manage data models including Dimensional Data Model, ER Data Model, and Data Vault.
• Write and optimize SQL queries for data retrieval and manipulation.
• Utilize Snowflake architecture and its internals such as roles, dynamic tables, streams, and tasks.
• Collaborate with product owners and stakeholders to meet project requirements.
• Work on data management and governance initiatives.
• Participate in multiple projects simultaneously.
• Contribute to data science and machine learning efforts.
• Utilize GitLab for version control and collaboration.

Key Skills:

• Proficient in Snowflake, DBT, and Airflow.
• Strong knowledge of cloud computing.
• Experience with SQL and data modeling.
• Good understanding of data governance and management.
• Familiarity with Python and data science concepts.
• Experience in managing stakeholders and product owners.
• Team player with a positive attitude and proactive approach.
• Nice to have: Knowledge of SQL Server or Oracle, investment banking, finance, statistics, and Power BI.

Salary (Rate): undetermined

City: Manchester Area

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: Other