Data Engineer (Python, Databricks, Snowflake, ETL)

Role: Data Engineer (Python, Databricks, Snowflake, ETL)

Location: Glasgow, UK (3days/week On-Site)

Job Type: Contract

Skills / Qualifications:

• 4+ years of experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc.
• 3+ years hands-on experience with cloud services, especially Databricks, for building and managing scalable data pipelines
• 3+ years of proficiency in working with Snowflake or similar cloud-based data warehousing solutions
• 3+ years of experience in data development and solutions in highly complex data environments with large data volumes.
• Solid understanding of ETL principles, data modelling, data warehousing concepts, and data integration best practices-Familiarity with agile methodologies and the ability to work collaboratively in a fast-paced, dynamic environment.
• Experience with code versioning tools (e.g., Git)
• Knowledge of Linux operating systems
• Familiarity with REST APIs and integration techniques
• Familiarity with data visualization tools and libraries (e.g., Power BI)
• Background in database administration or performance tuning
• Familiarity with data orchestration tools, such as Apache Airflow
• Previous exposure to big data technologies (e.g., Hadoop, Spark) for large data processing
• Strong analytical skills, including a thorough understanding of how to interpret customer business requirements and translate them into technical designs and solutions.
• Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions, roles and able to interact effectively with all levels.
• Self-starter. Proven ability to manage multiple, concurrent projects with minimal supervision. Can manage a complex ever changing priority list and resolve conflicts to competing priorities.
• Strong problem-solving skills. Ability to identify where focus is needed and bring clarity to business objectives, requirements, and priorities.