Senior Data Engineer (Spark/Scala) - Relocation to Spain at Tala

Lima, Callao Region, Peru

Tala Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Consulting, Technology, Financial Services, Energy, Retail, TelecommunicationsIndustries

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
  • Willingness to relocate to Málaga, Spain (on-site, relocation mandatory)

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

Key technologies and capabilities for this role

SparkScalaETLBig DataData EngineeringData IntegrationData Architecture

Questions & Answers

Common questions about this position

Is this role remote or on-site?

This is an on-site position with relocation to Spain required.

What experience is required for this Senior Data Engineer role?

Candidates need 5+ years implementing ETL pipelines, 3+ years with Apache Spark, 3+ years hands-on with Scala, and 2+ years with BI tools like Databricks, Power BI, or Starburst.

What is the salary for this position?

This information is not specified in the job description.

What does Talan’s company culture emphasize?

Talan focuses on positive innovation, business transformation through technology, and empowerment, with a global team of over 7,200 consultants across 21 countries committed to impactful solutions.

What makes a strong candidate for this role?

A strong candidate has deep expertise in ETL pipelines, Apache Spark, Scala, BI tools, data lake architectures like Apache Hive and AWS S3, and experience collaborating in fast-paced, data-driven environments.

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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