Position Overview:
We are seeking a highly skilled and experienced Lead Data Engineer to join the bank, with a focus on enabling advanced analytics through the adoption of industry best practices and cutting-edge technologies. As a Lead Data Engineer, you will play a crucial role in driving innovation, piloting new technologies for AI/ML model development, adopting cloud technologies, and leveraging BI tools like Denodo, OAS, and Power BI. This position offers a unique opportunity to shape the future of data engineering within our organization, supporting data-driven decision-making and enhancing our competitive advantage in the financial industry.
Responsibilities:
- Architect and Design: Develop robust and scalable data engineering solutions, including data pipelines, ETL processes, and data integration frameworks, leveraging industry best practices and following a cloud-native approach.
- Technology Evaluation: Research and evaluate new technologies and tools for data integration, analytics, and visualization, proposing innovative solutions to improve data integration and analysis capabilities.
- Advanced Analytics Enablement: Collaborate with data scientists and business analysts to understand advanced analytics requirements and translate them into technical solutions, ensuring seamless integration with existing data infrastructure.
- Technology Evaluation and Adoption: Assess and pilot new technologies, such as AI/ML algorithms, cloud-based services, and BI tools, to enhance data engineering capabilities, optimize data processing performance, and improve data governance.
- Cloud Technologies: Design, build, and maintain data engineering solutions using cloud platforms like AWS, Azure, or GCP, ensuring efficient utilization of cloud resources and adherence to security and compliance standards.
- Team Leadership: Lead a team of data engineers, providing technical guidance, mentorship, and support in executing data engineering projects, fostering a collaborative and high-performing culture.
- Collaboration: Collaborate with cross-functional teams, including data scientists, business analysts, data architects, software engineers, and IT delivery, to ensure seamless data flow, optimize data processing, and drive successful project outcomes.
- Documentation and Communication: Create and maintain comprehensive technical documentation, including data models, system architecture diagrams, and process flowcharts. Effectively communicate complex technical concepts to both technical and non-technical stakeholders.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
- Proven experience (> 10 years) in data engineering roles, preferably within the banking or financial industry.
- Strong expertise in designing and implementing data pipelines, ETL processes, and data integration frameworks.
- Proficiency in cloud platforms like AWS, Azure, or GCP, with hands-on experience in building data engineering solutions in a cloud-native environment.
- Experience with AI/ML technologies, including data preprocessing, feature engineering, and model deployment, is highly desirable.
- In-depth knowledge of BI tools such as Denodo, OAS, Power BI, or similar platforms for data visualization and reporting.
- Strong programming skills in languages such as Python, SQL, or Java, with experience in working with large datasets and distributed computing frameworks (e.g., Spark, Hadoop).
- Excellent problem-solving and analytical thinking abilities, with a keen eye for detail.
- Leadership skills with the ability to lead and motivate a team towards achieving common goals.
- Effective communication skills, both verbal and written, with the ability to convey complex technical concepts to diverse stakeholders.
If you are passionate about leveraging cutting-edge technologies, driving data innovation, and making a significant impact in the banking industry, we invite you to join our dynamic team as a Lead Data Engineer. Together, we will revolutionize our data capabilities and unlock the full potential of advanced analytics for our organization.
