AI Data Engineer

Are you an experienced Data Engineer looking for an impactful 3-month contract opportunity? Kimshuka is urgently seeking a skilled professional to join our team and contribute to cutting-edge data engineering initiatives. This is a chance to work hands-on with existing data systems, delivering reliable, scalable, and cost-efficient data solutions from day one. We are looking for a proactive individual who can hit the ground running and make a significant contribution to our data landscape.

As a Data Engineer at Kimshuka, you will play a crucial role in developing and optimizing our data infrastructure. You will be responsible for creating robust ETL/ELT pipelines, ensuring data quality, and implementing best practices in data observability. This position offers a unique opportunity to apply your expertise in a fast-paced environment, working with a modern data stack that leverages cloud technologies.

Key Responsibilities

• Develop, integrate, and optimize robust ETL/ELT pipelines for various data sources.
• Ensure high data quality, perform comprehensive data reconciliation, and implement rigorous testing protocols.
• Optimize Google BigQuery performance and manage cloud costs effectively across GCP and AWS.
• Collaborate closely with cross-functional teams to design and build scalable, cost-efficient data solutions.
• Work extensively with production data pipelines, ensuring their reliability and efficiency.
• Implement and advocate for strong software engineering practices, including Git and CI/CD.
• Utilize advanced SQL for complex data manipulation, analysis, and reporting.
• Contribute to the continuous improvement of our data architecture and infrastructure.

Requirements

• Proven experience as a Data Engineer, with a strong portfolio of successful projects.
• Strong hands-on experience with Google BigQuery, including performance and cost optimization.
• Expert-level proficiency in Advanced SQL for data querying and transformation.
• Production-level Python programming skills for data pipeline development.
• Extensive experience with dbt (data build tool) for data transformation.
• Demonstrated expertise in designing and implementing ETL/ELT pipelines.
• Solid understanding and practical experience with data quality, reconciliation, testing, and observability.
• Proficiency with Git, CI/CD principles, and general software engineering best practices.
• Cloud experience across both GCP (Google Cloud Platform) and AWS (Amazon Web Services).
• Familiarity with tools like GA4, Google Ad Manager, Hightouch, Braze, Airbyte, Docker/Kubernetes, and REST APIs is a plus.

What We Offer

• An immediate opportunity to work on highly impactful data engineering initiatives.
• A challenging and engaging 3-month contract with the potential for extension based on project needs.
• Competitive compensation package reflecting your experience and expertise.
• A collaborative and innovative environment where your contributions are valued.
• The chance to make a tangible difference by building reliable and scalable data solutions.

If you are an experienced Data Engineer ready to tackle new challenges and deliver exceptional results, we encourage you to apply!