The Opportunity
- Adecco is partnering with one of the most well-established and respected financial institution with a strong track record of success.
- They have a culture of innovation and continuous improvement, constantly looking for ways to improve their services and offerings.
Job Responsibilities
You report to Data Analytics team head of DEC. You will:
- 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 modelling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets
- Visualise, 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 solution
- Ability to design appropriate solution in compliant to CACIB standards
- Develops detailed technical work plans, estimates, improvement plans and status reports
- Perform regular peer-reviews, maintain low technical debts, assess & up-skill junior staffs
- Ensure the respect of CACIB code of conduct and compliance rules within the team
- Contribute to initiatives managed at department level (continuous improvement, innovation…)
Job Qualification
In a challenging and multicultural environment, we seek a motivated and skilled Data Engineer to join our Data Analytics team. The team is responsible of a portfolio of solutions for various business lines of the bank (Risk, Finance, Compliance, Trade Finance etc.). We deliver solutions primarily based on Microsoft Business Intelligence stack with a focus on performance and reliability. We are evolving and adopting new data technology as per the bank data strategy.
This position requires a candidate with
- at least a bachelor degree in computer studies
- minimum 6 years of experience in Data Engineering role with financing industry, ideally in a banking environment
- at least 3 years of development experience with using Microsoft Business Intelligence stack coveringTabular 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 team
- proactive and problem solving attitude with ability to anticipate risks
- strong communication (written and verbal) and organisational skills
Preferred (additional skills preferred, but not mandatory)
- Exposure to data science technologies or other competitive data processing tools like Python, Spark, etc.
- Experience on test driven development
- Experience with Data Visualisation tools
Next Step
Click “apply” or send resume to: Tamanna Bilandi [email protected]
EA Licence No.91C2918 | Personnel Registration No. R2096241
