Data Engineer

For one of our major banking clients we are currently seeking a skilled Data Engineer to support its data integration initiatives and drive seamless data management across its platforms. You will work within a highly innovative team, ensuring data models align with enterprise goals and facilitate efficient data-driven applications. This role offers a hybrid working model with a long-term career pathway. Important to operate in such a role is an good understanding of the devops way of work though main expertise lies in the data main line of work.

Key Responsibilities:

• Design, develop, and optimize data pipelines for enterprise applications.
• Implement and maintain data models to support business solutions.
• Work closely with engineers, data scientists, and business stakeholders to ensure data integration aligns with strategic objectives.
• Utilize Power Designer and other modeling tools to create efficient and scalable data architectures.
• Optimize SQL queries and ensure efficient database performance.
• Develop and manage data warehousing solutions, incorporating Data Vault basics.
• Support data governance, security, and compliance within the banking environment.
• Collaborate in an Agile setting, continuously improving data processes.

Required Skills & Experience:

• Proven experience as a Data Engineer in a banking or financial services environment.
• 4+ years of experience with Azure Data Factory (ADF).
• Experience with data integration, ETL pipelines, and cloud-based data solutions.
• Knowledge of data governance, compliance, and security best practices in financial institutions.
• Background in data warehousing and familiarity with Data Vault basics.
• SQL Server knowledge is beneficial.
• Completion of several computer science courses.
• Ability to work in a hybrid setting with stakeholders across different teams.

Preferred Qualifications:

• Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud).
• Familiarity with Python or other scripting languages for data processing.
• Understanding of machine learning workflows and AI model integration.
• Background in financial data management or regulatory reporting.

Why Join?

• Work on cutting-edge data integration projects within a leading financial institution.
• Hybrid working model with flexibility.
• Career growth opportunities, transitioning from contract to a permanent role.
• Collaborative and dynamic team environment.

If you are a Data Engineer looking to apply your expertise in a high-impact financial environment, we encourage you to apply!