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!