Location:Edinburgh

Salary:£55,000–£80,000 (plus 20% bonus and 10% non-contributory pension)

Industry:Financial Services

Benefits:30 days holiday, flexible working options

About the Role

We are seeking a skilled Data Engineer to design, build, and maintain innovative data processing and management systems. In this role, you’ll work at the forefront of data-driven transformation, developing scalable architectures that enhance customer experiences and ensure data security in the Financial Services industry.

Key Responsibilities

• Design, develop, and maintain robust data pipelines and management systems.
• Automate data processes by eliminating manual steps, ensuring efficiency.
• Build scalable data architectures to support business needs.
• Integrate and optimize modern data storage, retrieval, and processing frameworks.
• Develop high-performance algorithms for predictive analytics and streaming data transformations.
• Collaborate with data scientists and business stakeholders to enhance system functionality.
• Ensure all solutions comply with regulatory requirements and best practices.
• Embed new data techniques into the business through training, role modeling, and innovation.

Requirements

• Education:Bachelor’s degree in Computer Science, Engineering, or a related field.
• Experience:
• Proven track record in data engineering roles, ideally in Financial Services.
• Expertise in SQL, Python, PySpark, and ETL frameworks.
• Knowledge of AWS tools, data warehousing, and modern coding practices.
• Familiarity with distributed computing, machine learning principles, and predictive analytics.
• Technical Proficiency:
• SQL/PostgreSQL, Python, PySpark, AWS tools, GitLab.
• MS Office Visual Basic, Oracle DB, Business Objects.
• Java, C#, Tableau, SAS 4GL.

Be part of a forward-thinking team where your contributions directly impact customer experiences. Leverage the latest tools and frameworks to solve complex challenges, while enjoying a competitive salary, exceptional benefits, and career development opportunities.

If you’re passionate about driving innovation and transforming data into actionable insights, apply today!