DEC Data Engineer (Ref 58455 / 58456)

Within the IT & Operations division, the department Digital Excellence Center (DEC) in Singapore is strong of 150 staff. Our center of excellence has established a recognized expertise in process digitalization and data analytics while our expertise in artificial intelligence is growing.

Every day, we work jointly with domain IT teams or directly with business stakeholders on the digitalization of their processes and leveraging their data while, in the background, we design, build, and frame the next generation of shared services.

We strive to organize ourselves as agile units that leverage sound expertise and reusable assets for addressing the needs of our internal partners effectively. We value teamwork, collaboration across the board, and partnership with our business - we measure our successes through the successes of our clients.

Credit Agricole CIB is engaged in a major digital transformation of its Business and Operations. We believe in having strong data governance, data quality, and data lineage in our value chains with other major disruptive technological evolutions.

Over the past years, we have groomed our skills, expertise, and experience in building effective Data Analytics solutions. We want to sustain and improve our data management practices.

In a challenging and multicultural environment, we seek a motivated and skilled Senior Data Engineer to join our Data Analytics team. The Data Analytics team is responsible for a portfolio of solutions for various business lines of the bank (Risk, Finance, Compliance, Trade Finance, etc). The team delivers solutions primarily based on the Microsoft Business Intelligence stack with a focus on performance and reliability. We are evolving and adopting new data technology as per the bank's data strategy.

Responsibilities

You report to the Data Analytics team head of DEC. The role of Data Engineer encompasses:

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.
• Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
• Visualize, interpret, and report data findings and may create dynamic data reports as well.
• Maintain existing BI solutions / ETL pipelines and propose continuous improvements.
• Communicate and collaborate with architects, stakeholders, business analysts, and project managers to gather requirements and define technical solutions.
• Ability to design appropriate solutions in compliance with CACIB standards.
• Develop detailed technical work plans, estimates, improvement plans, and status reports.
• Perform regular peer-reviews, maintain low technical debts, and assess & up-skill junior staff.
• Ensure the respect of CACIB code of conduct and compliance rules within the team.
• Contribute to initiatives managed at the department level (continuous improvement, innovation…).

Geographical area

City

Bachelor Degree / BSc Degree or equivalent

Bachelor in relevant specialties

Level of minimal experience

6-10 years

Required skills

This position requires a candidate with:

• At least a bachelor degree in computer studies.
• Minimum 8 years of experience in a Data Engineering role within the financing industry, ideally in a banking environment.
• At least 5 years of development experience using the Microsoft Business Intelligence stack covering:
• Tabular Analysis Service
• Data warehousing
• Performance tuning
• Data transformations and quality checks
• Power BI dashboarding and reporting
• Good exposure and usage experience in CI/CD tools/processes, preferably Azure DevOps.
• Ability to design and present technical solutions to architects and to the team.
• Proactive and problem-solving attitude with the ability to anticipate risks.
• Strong communication (written and verbal) and organizational skills.

Technical skills required

Preferred (additional skills preferred, but not mandatory):

• Exposure to data science technologies or other competitive data processing tools like Python, Spark, etc.
• Experience in test-driven development.
• Experience with Data Visualization tools.

General information

Entity

About Crédit Agricole Corporate and Investment Bank (Crédit Agricole CIB): Crédit Agricole CIB is the corporate and investment banking arm of Crédit Agricole Group, the 10th largest banking group worldwide in terms of balance sheet size (The Banker, July 2022). 8,600 employees in more than 30 countries across Europe, the Americas, Asia-Pacific, the Middle-East, and North Africa support the Bank's clients, meeting their financial needs throughout the world. Crédit Agricole CIB offers its large corporate and institutional clients a range of products and services in capital market activities, investment banking, structured finance, commercial banking, and international trade. The Bank is a pioneer in the area of climate finance and is currently a market leader in this segment with a complete offer for all its clients. For more information, please visit www.ca-cib.com Twitter: https://twitter.com/ca_cib LinkedIn: https://www.linkedin.com/company/credit-agricole-cib/ By working every day in the interest of society, we are a group committed to diversity and inclusion. All our positions are open to people with disabilities.