Data Insights Engineer II

6 days ago


Melbourne, Victoria, Australia Tala Full time
About Tala

Tala is a pioneering fintech company on a mission to democratize access to financial services and empower underserved communities worldwide.

We're a rapidly growing organization with a strong presence in emerging markets, serving millions of customers across three continents.

Tala has been recognized as a leader in the fintech industry, with numerous awards and accolades, including the Fortune Impact 20 list, CNBC's Disruptor 50, and Forbes' Fintech 50 list.

We're expanding our product offerings, geographic presence, and exploring new technologies, such as crypto, to further our mission.

Our Mission

We aim to create a unique platform that enables lending and other financial services, empowering individuals in emerging markets to start and grow their businesses, manage daily expenses, and achieve their financial goals with confidence.

Currently, over nine million people across Kenya, the Philippines, Mexico, and India have used Tala's products.

We have a global team with a remote-first approach, with offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.

The Role

As a Data Insights Engineer II, you will play a critical role in building and maintaining the presentation layer to provide aggregated, clean, and trustworthy data to the rest of the company.

You will collaborate with other teams to identify opportunities to improve our data infrastructure and provide self-service and training to enable data analysts to explore insights using our data infrastructure.

This will bring data accessibility to a new level, enabling our teams to make data-driven decisions and drive business growth.

Responsibilities

  • Build and maintain the presentation layer to provide aggregated, clean, and trustworthy data to the rest of the company.
  • Collaborate with other teams to identify opportunities to improve our data infrastructure.
  • Provide self-service and training to enable data analysts to explore insights using our data infrastructure.

Requirements

  • 3+ years of experience as an Analytics Engineer or Data Engineer.
  • Excellent skills in SQL, ETL, and at least one programming language (e.g., Python, Java).
  • Experience with DBT or similar tools.
  • Experience in cleaning, aggregating, and validating data sets for analytical consumption.
  • Advanced English language proficiency.

Nice to Have

  • Experience with Snowflake management and functions.
  • Experience with Airflow.
  • Familiarity with advanced modeling and machine learning techniques.

Our Culture

We're a diverse and inclusive organization that values innovation, collaboration, and continuous learning.

We're committed to creating a workplace where everyone can thrive and contribute to our mission.


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