Senior Scala Engineer (Scala / Spark, Azure, Databricks)

We are looking for a Senior Scala Engineer to join a data-driven engineering team working on large-scale distributed data processing platforms. The role focuses on building, optimizing, and maintaining high-performance data pipelines using Scala, Apache Spark, and Databricks within a Microsoft Azure cloud environment.

You will work closely with data engineers, architects, and product teams to deliver reliable, scalable solutions that process massive volumes of data and support business-critical analytics and decision-making.

Details

Location: Remote 

Employment Type: Full-time

Start Date: ASAP

Language Requirements: English — Upper-Intermediate or higher

Key Responsibilities

Design, develop, and maintain scalable data processing solutions using Scala and Apache Spark

Build and optimize ETL / ELT pipelines on Databricks

Work with large datasets, ensuring performance, reliability, and fault tolerance

Deploy and operate data workloads in Azure (ADLS, Azure Data Factory, Azure SQL, etc.)

Collaborate with data architects on data modeling and pipeline design

Optimize Spark jobs for cost, performance, and scalability

Implement best practices for data quality, monitoring, and logging

Participate in code reviews, technical discussions, and architectural decisions

Troubleshoot and resolve production data issues

Requirements

Strong hands-on experience with Scala in production environments

Solid expertise with Apache Spark (batch and/or streaming)

Proven experience working with Databricks

Experience with Microsoft Azure data services

Strong understanding of distributed systems and data processing concepts

Experience with SQL and data warehousing concepts

Familiarity with CI/CD pipelines and version control (Git)

Ability to work independently and take ownership of complex components

Strong communication skills and ability to collaborate in cross-functional teams

Nice to Have

Experience with Spark Structured Streaming

Knowledge of Delta Lake

Experience with data governance and security in cloud environments

Background in analytics, fintech, AdTech, or large-scale enterprise data platforms

Exposure to Infrastructure-as-Code (Terraform, ARM, Bicep)