Data Engineer

We are seeking a seasoned Data Engineer to design, build, and maintain robust data infrastructure within a hybrid work environment. You will collaborate with cross-functional teams to deliver end-to-end solutions, covering everything from data ingestion and transformation to complex modeling and warehousing. This role is pivotal in ensuring data accessibility and reliability to support the organization's strategic business objectives.

Our client is a prominent global financial services institution with a strong reputation for innovation and excellence in banking. They operate at a significant scale, leveraging advanced technology to deliver secure and efficient financial solutions to a diverse client base. The organization fosters a collaborative culture that prioritizes engineering standards, professional growth, and the adoption of modern data architectures.

Responsibilities

• Partner with business stakeholders and data analysts to translate complex requirements into scalable data solutions.
• Develop metadata-driven ingestion patterns utilizing Azure Data Factory, Databricks, MS Fabric, or Synapse Analytics.
• Manage and maintain on-premises SQL Data Warehouses and Azure Analysis Services cubes.
• Design and deploy self-service data products while ensuring strict adherence to architectural best practices.
• Collaborate with architects and engineering leads to drive group engineering standards and promote knowledge sharing.
• Maintain high-quality engineering documentation and support the development of CI/CD pipelines.
• Design and deploy Infrastructure-as-Code (IaC) pipelines to support automated deployments.

Requirements

• 5-10 years of proven professional experience in data engineering.
• Extensive hands-on expertise with Azure Data Factory, Databricks, MS Fabric, Synapse Analytics, and ADLS Gen2.
• Deep proficiency in SQL Server and SSIS.
• Strong understanding of data warehouse modeling, specifically Star and Snowflake schemas.
• Experience with source control, CI/CD pipelines, and Azure DevOps.
• Familiarity with modern data architectures, including Lakehouse and Medallion patterns.
• Strong communication skills with the ability to work effectively within agile squads.
• Bachelor’s degree in Computer Science, Information Technology, or a related quantitative field.