Data Engineer

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 : Bachelors degree in Computer Science, Engineering, or a related field (or equivalent experience).