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Data Engineer

CBC Group

Skills

Required

  • Data Engineering
  • SQL
  • relational databases
  • Microsoft SQL Server / MySQL / PostgreSQL
  • data warehousing
  • data modeling concepts
  • Python
  • Shell
  • scripting
  • modern data platforms
  • cloud-based data solutions

Preferred

  • Azure / AWS / GCP
  • Microsoft data platforms
  • Azure Data Factory / Synapse / Fabric
  • ETL
  • data warehouses
  • lakehouses
  • data lakes
  • Implement data quality controls

& the Role You are passionate about turning complex data into reliable, accessible, and valuable information. As a Data Engineer, you will design and build scalable data solutions that power analytics, reporting, and data-driven decision-making across the organization. You enjoy solving technical challenges, working with large datasets, and collaborating with data professionals to create impactful solutions.

About CBC Group

Join us as a Data Engineer and help shape the future of data and analytics through innovative, scalable, and impactful solutions.

Responsibilities

  • You Will Be Doing Design, develop, and maintain data pipelines for extracting, transforming, and loading (ETL) data.
  • Build and support scalable data platforms, including data warehouses, lakehouses, and data lakes.
  • Implement data quality controls to ensure accuracy, consistency, and reliability.
  • Automate data processing and integration tasks using Python, Shell, or similar scripting languages.
  • Work closely with data scientists, analysts, and business stakeholders to understand data needs and deliver solutions.
  • Monitor, troubleshoot, and optimize data infrastructure and pipelines.
  • Maintain clear documentation for data processes, architectures, and workflows.
  • Keep up with emerging tools and technologies in data engineering.
  • Success Looks Like Reliable and efficient data pipelines that support critical business and analytics needs.
  • High-quality data that is accurate, complete, and readily available for users.
  • Improved operational efficiency through automation and optimized workflows.
  • Strong collaboration with cross-functional teams to deliver data solutions on time.
  • Well-documented and scalable data environments that support future growth.
  • (Suggested employer branding content.) Apply Now Ready to build the data foundations that drive smarter decisions?

Requirements

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • At least 2 years of experience in Data Engineering or a similar role.
  • Strong knowledge of SQL and relational databases such as Microsoft SQL Server, MySQL, or PostgreSQL.
  • Experience with data warehousing and data modeling concepts.
  • Proficiency in Python, Shell, or other scripting languages.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work independently and collaborate effectively with diverse teams.
  • You Can Expect Here Opportunities to work on modern data platforms and enterprise-scale projects.
  • Exposure to cutting-edge technologies and cloud-based data solutions.
  • A collaborative environment where learning and knowledge-sharing are encouraged.
  • Meaningful work that directly supports data-driven business transformation.

Preferred

  • Experience with Azure, AWS, or GCP, as well as Microsoft data platforms such as Azure Data Factory, Synapse, or Fabric, is an advantage.
  • Banking industry experience is a plus.

Benefits

  • Professional growth through hands-on experience and continuous development.

Apply today and take the next step in your data engineering career.

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