Role: Data Engineer
Location: Glasgow (Hybrid, 3 days onsite)
Contract: 06-12months with possible extensions
(No Sponsorship Available )
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.
Preferred Qualifications
· Experience in financial services
· Knowledge of regulatory requirements in the financial industry
Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).