Senior Data Engineer (Spark/Scala) at Tala

Málaga, Andalusia, Spain

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Consulting, Technology, Financial Services, Transport & Logistics, Energy & UtilitiesIndustries

Requirements

5+ years of experience in implementing ETL pipelines
3+ years of experience working with Apache Spark
3+ years of hands-on experience with Scala programming
2+ years of experience with BI tools (Databricks, Power BI, Starburst, or similar)
Strong expertise in SQL and relational database systems
Experience designing and implementing data models for enterprise use cases
Familiarity with data lakes and cloud-based storage environments (Apache Hive, AWS S3)
Strong background in data validation, unit testing, and best practices for code quality
Solid understanding of CI/CD principles and experience delivering high-quality code in production environments

Responsibilities

Design, develop, and optimize robust ETL pipelines to support data ingestion, transformation, and processing at scale
Build and maintain high-performance data models to support analytics, reporting, and data science initiatives
Work with large-scale distributed systems and data lake architectures (Apache Hive, AWS S3, etc.)
Ensure data quality through strong validation practices and automated testing
Collaborate closely with cross-functional teams to deliver secure, clean, and reliable data to downstream consumers
Implement and maintain CI/CD pipelines and align code to static analysis tools such as Sonar or Fortify
Work with BI tools and platforms (Databricks, Power BI, Starburst, etc.) to enable effective data visualization and insights

Skills

Spark

Scala

ETL

Big Data

Data Engineering

Data Integration

Data Architecture

Tala

Digital wallet and lending platform for underserved

About Tala

Tala operates as a digital wallet and lending platform that focuses on providing financial services to individuals who are often overlooked by traditional banks. The platform uses artificial intelligence and machine learning to create a personalized financial experience for its users. Customers can access instant credit, transfer money easily, and pay bills all through a single app. Tala's unique data tools allow it to serve a diverse range of customers, including those without access to conventional banking. The company generates revenue through interest and fees on the credit it offers, as well as transaction fees for money transfers and bill payments. Operating in multiple countries across three continents, Tala adapts its services to different markets while aiming to enhance the financial well-being of its users by providing tailored credit lines and financial advice.

Santa Monica, CaliforniaHeadquarters

2011Year Founded

$341.1MTotal Funding

DEBTCompany Stage

Fintech, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Remote Work Options

Flexible Work Hours

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Risks

Increased competition from Stripe in crypto payments could challenge Tala's market position.

Keytom's launch may attract Tala's crypto-interested customer base, reducing market share.

Apple's NFC chip decision could lead to more competition in the digital wallet space.

Differentiation

Tala uses AI to offer personalized financial experiences to underserved individuals.

The company provides instant credit and expansive bill payment options via a single app.

Tala's proprietary data tools enable services for those without traditional banking access.

Upsides

Integration of stablecoin payments could enhance Tala's transaction speed and cost-effectiveness.

Apple's NFC chip opening may allow Tala to offer more seamless payment options.

Equifax's AI advancements highlight potential for Tala to improve its credit scoring systems.

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