Data Engineer

About You

You are a Data Engineer passionate about building reliable scalable and high-performing data solutions that power analytics reporting and AI-driven initiatives. You enjoy solving complex data challenges transforming fragmented information into trusted datasets and enabling organizations to make data-driven decisions.

You thrive in collaborative environments working closely with technical teams and stakeholders to design migrate integrate and optimize data across multiple platforms and technologies. You bring a strong analytical mindset attention to detail and a commitment to data quality consistency and long-term scalability.

You Bring to Applaudo the Following Competencies:

• Bachelors Degree in Computer Science Software Engineering Computer Engineering or a related field is desired or equivalent professional experience.
• 3 years of experience as a Data Engineer or in a similar role.
• Advanced SQL expertise.
• Strong experience designing and implementing ETL/ELT processes.
• Experience with data modeling and data transformation.
• Experience integrating and migrating data between different database engines and platforms.
• Experience building and maintaining scalable data pipelines.
• Experience working with analytical platforms and large datasets.
• Proficiency in Python or a similar language for automation and data processing.
• Strong understanding of data quality governance consistency and integrity principles.
• Strong analytical and problem-solving skills.
• Ability to work independently while collaborating effectively with cross-functional teams.
• Advanced English communication skills.

You Will Be Accountable for the Following Responsibilities:

• Design and execute data migration processes across multiple data sources and platforms.
• Build maintain and optimize ETL/ELT pipelines.
• Transform cleanse and standardize data from multiple systems.
• Ensure data quality consistency integrity and reliability across environments.
• Integrate data with analytical platforms and AI-driven components.
• Support the design and implementation of scalable data models.
• Collaborate with technical teams to support data modernization initiatives.
• Identify opportunities to improve data reliability scalability and operational efficiency.
• Contribute to establishing data governance and best practices.
• Support business intelligence and analytics initiatives through high-quality datasets.

Qualifications :

• 3 years of experience as a Data Engineer.
• Advanced SQL skills.
• Experience with ETL/ELT Data Modeling and Data Pipelines.
• Experience with Data Migration and Data Integration.
• Python proficiency
• Advanced English.

Additional Information :

About Us

We Are Engineered Different.

At Applaudo talented people design build and scale meaningful AI-powered solutions that create real business impact. As an AI-native organization we collaborate across design development cloud data and artificial intelligence to turn ideas into scalable products that transform how companies operate make decisions and grow.

We are building a high-performance culture grounded in five values: Empowering Excellence Collaborative Teamwork Unsolicited Respect Consistent Transparency and Efficient Communication. These define how we work how we support one another and how we hold ourselves accountable.

Applaudo is a place for people who want to learn fast take ownership and work alongside strong teams they are proud to belong to. Joining us means being part of an organization that is evolving intentionally investing in modern ways of working and leading AI-native transformation at scale.

Remote Work :

No

Employment Type :

Full-time