Senior Data Engineer – Investment Bank

4 weeks ago


Singapore ARGYLL SCOTT CONSULTING PTE. LTD. Full time
Roles & Responsibilities
  • Exciting opportunity to work on cutting-edge cloud and AI-driven solutions
  • 12-month contract with the possibility of extension or conversion.

We are seeking an experienced Data Engineer with expertise in Azure to join our team in a leading investment bank. In this role, you will work closely with business stakeholders to design, build, and maintain scalable data pipelines and data processing systems to support data-driven decision-making and analytics.

Responsibilities:

  • Design, implement, and optimize data pipelines and ETL processes on Azure platforms, ensuring efficient data flow and storage solutions.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and provide solutions that meet business objectives.
  • Develop and maintain data integration solutions using Azure Data Factory, Azure Databricks, Azure SQL Database, and other relevant Azure services.
  • Ensure data quality, accuracy, and consistency across various systems, and support data governance best practices.
  • Work on data modeling and storage optimization to handle large-scale data from multiple sources.
  • Implement performance tuning and troubleshooting for data processes to ensure high availability and scalability.
  • Monitor and troubleshoot data pipeline issues, ensuring minimal disruption to business operations.
  • Support cloud migration strategies by transitioning on-premises data systems to Azure.
  • Adhere to security and compliance standards for data handling, ensuring regulatory requirements are met.

Must-Have Skills:

  • 6+ years of experience in data engineering or related fields.
  • Strong expertise in Microsoft Azure services, particularly Azure Data Factory, Azure Databricks, and Azure SQL Database.
  • Solid understanding of ETL processes and data pipeline management.
  • Proficiency in programming languages like Python, SQL, and experience with Spark.
  • Strong experience with cloud-based data solutions, including data lakes and data warehousing.
  • Experience working in Agile/Scrum methodologies.
  • Excellent analytical and problem-solving skills.
  • Strong knowledge of data security and governance practices in a cloud environment.
  • Experience working in an investment banking or financial services environment is highly desirable.

Good to Have Skills:

  • Experience with machine learning and AI integration for data processes.
  • Familiarity with additional Azure services such as Azure Synapse Analytics, Power BI, or Cosmos DB.
  • Knowledge of financial products and trading systems.
  • Strong communication skills with the ability to collaborate with cross-functional teams.

Education:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Argyll Scott Consulting Pte Ltd

Tell employers what skills you have

Machine Learning
Scalability
Azure
Data Modeling
Pipelines
Investment Banking
ETL
Data Integration
Data Quality
Data Governance
Data Engineering
SQL
Python
Performance Tuning
Power BI
Data Warehousing

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