Job Description

At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale.

More than just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following.

Our Culture

At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:

• Mission-Driven: We focus on creating economic and social impact.
• People-Centric: We care deeply about our team’s growth, well-being, and sense of belonging.
• Innovative: We embrace change and find better ways to do things together.
• Globally Connected: We foster collaboration between diverse cultures and perspectives.

If you’re passionate about innovation, collaboration, and making a real impact, we’d love to have you on board!

As a Data Engineer, you will build and maintain the data pipelines and models that power CloudFactory's reporting and analytics. You will work with tools such as Fivetran, DBT, Snowflake, and Python to extract, transform, and model data, while ensuring data quality, security, and governance standards are consistently met. This is a great opportunity to grow your data engineering expertise within a mission-driven, fast-scaling organization.

Please note: This is a full-time, fixed-term employee position with an expected duration of 6 months

Responsibilities:

Data pipeline development

• Develop data pipelines in Fivetran to extract data from common data sources.
• Write Python scripts, using libraries such as Pandas, for data cleaning and transformation.
• Create data models in DBT with transformations and joins between tables.

Data quality and governance

• Implement data quality checks in DBT and Snowflake to identify and address data quality issues.
• Follow established data governance practices, including access controls and documentation procedures.
• Monitor data pipelines for errors or inconsistencies, reporting issues to senior engineers.

Data modelling and design

• Design and document conceptual and logical data models for well-defined datasets, considering star schema or data vault principles.
• Apply data normalization techniques and select appropriate data types based on data characteristics.
• Collaborate with stakeholders to understand their data needs and identify potential model improvements.

Data visualization support

• Create data visualizations in QuickSight or Tableau to explore and communicate data insights.
• Select appropriate chart types and apply dashboard design principles for effective communication.

Delivery and testing

• Take ownership of designing and implementing moderately complex data engineering tasks, identifying dependencies and risks during planning.
• Write integration tests to verify how code interacts with other parts of the data pipeline.

Data security and compliance

• Adhere to established data security and compliance protocols while handling data.
• Follow data access control procedures and complete required data security and compliance training.

Requirements

Must-have skills (required)

• Good understanding of data engineering concepts, data transformation techniques, and tools such as Fivetran, DBT, Snowflake, and QuickSight or Tableau.
• Proficient in Python, including libraries such as Pandas, for data cleaning and transformation.
• Experience building and maintaining data pipelines from common data sources.
• Understanding of data modelling methodologies and normalization principles for data warehousing.
• Experience implementing data quality checks and following data governance practices.
• Familiarity with data visualization tools and best practices for effective dashboards.
• Strong SQL skills for querying and transforming data.
• Good communication skills, able to collaborate with stakeholders on data requirements.

Academic and professional requirements

• Bachelor's degree in Computer Science, Data Engineering, or a related field, or equivalent practical experience.
• 2–4 years of experience in data engineering or a related role.

Nice-to-have skills (preferred)

• Experience with Snowflake performance optimization.
• Exposure to workflow orchestration tools.
• Familiarity with data governance frameworks.

Benefits

• Great Mission and Culture
• Meaningful Work
• Market competitive salary
• Quarterly variable compensation
• Comprehensive medical cover
• Group life insurance
• Personal development and growth opportunities
• Office snacks and lunch
• Periodic team building and social events

At CloudFactory, we believe that work should be more than just a job—it should be a platform for growth, impact, and community. Here, you’ll earn with purpose, learn every day, and serve a mission that truly matters. If you're looking for a career where you can develop professionally, contribute meaningfully, and be part of a global movement, we’d love to have you on this journey!

Join us today and be part of our mission to connect people and technology for a better world! Apply now and bring your whole, authentic self to work—we can’t wait to meet you!