Data Tech Lead

We’re PayRetailers, and we offer cutting-edge payment solutions that empower businesses to succeed in Latin America & Africa.

Our collaborative and inclusive work environment encourages creativity and growth, where every employee's contribution is valued.  

Job Description:

As a “data engineer – tech lead” you are expected to be a hands-on person and have experience leading/coordinating a team of data engineers throughout the whole lifecycle of our data pipelines (from requirements identification to deployment). S/he will be expected to collaborate with other Data and IT functions to continuously evolve our technology stack, POCs, etc.

 

Responsibilities:

• Ownership of the data platform team backlog and lead the team throughout the data pipeline’s lifecycle.
• Collaborate with other DATA and IT functions to assess data tools, frameworks, and technologies and lead their adoption.
• Define technical standards and best practices in data engineering, including template, quality assurance, automated testing, monitoring, and technical documentation.
• Design, develop, and maintain scalable data pipelines and architecture.
• Identify bottlenecks or performance issues, proposing scalable and efficient solutions within existing data systems. Ensure data quality and integrity through rigorous testing and validation.
• Lead code reviews and architectural decisions, ensuring the technical quality of deliverables and fostering a culture of continuous improvement.
• Monitor and troubleshoot data pipeline performance and reliability.

 

Requirements:

• Proven experience as a Lead Data Engineer or in a similar role.
• Strong proficiency in Python for data processing and automation.
• Deep knowledge of data modelling (dimensional modelling – star and snowflake schema).
• Hands-on experience with Azure Cloud services, including Azure Data Factory, Azure SQL Database, and Azure Blob Storage.
• Expertise in Databricks for big data processing and analytics.
• Familiarity with SQL and NoSQL databases.
• Knowledge of data warehousing concepts and best practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

 

Preferred Qualifications:

• Experience with other cloud platforms (e.g., AWS, GCP).
• Knowledge of machine learning and data science concepts.
• Familiarity with CI/CD pipelines and DevOps practices.
• Certification in Azure or Databricks.

 

What do we offer:

• Fully remote😊
• 26 vacation days a year 
• Language classes & professional courses   
• Free catering & snacks in the office   
• Private health insurance 
• Free lunch at the office 
• An afternoon off on your birthday

 

 

 

 

If you’re passionate about tech, innovation, and want to thrive in an environment that values collaboration and diversity, this role might be the perfect fit for you! 

Apply today and help us shape the future of the PayTech industry! 

To get an idea of what life at PayRetailers is like, check out our Instagram and our About Us page. 

 

Our commitment to diversity, equity & inclusion 

At PayRetailers, diversity, equity, and inclusion aren't just values – they're fundamental to who we are. We're dedicated to fostering an environment where every individual feels valued, respected, and empowered to bring their authentic selves to work. We welcome applicants from all backgrounds and identities, recognizing that diversity drives innovation and strengthens our team.   

So, if you're passionate about making a difference and excited about the role, we encourage you to apply. Join us in building a global company where everyone can thrive and feel proud to belong.  

Please feel free to include your pronouns in your application (e.g. she/her, he/him, they/them, etc.).