SOFTSWISS is hiring a Senior Test Automation Engineer to join our Data Platform team within Data Office department. You will design and implement automated tests that validate data accuracy and pipeline reliability, while partnering closely with Data Engineers and QA Engineers.
Key responsibilities:Work effectively within a fully agile environment, collaborating with senior engineers while demonstrating the ability to own tasks independently
Review and analyze business requirements and technical specifications in collaboration with BAs and developers to ensure testability, clarity, and early bug prevention
Perform comprehensive testing of new features including manual testing and the development of automated scenarios with Gherkin syntax using existing automation framework
Create and maintain appropriate QA documentation for the team
Collaborate with other products regarding functionality of implemented solutions
5+ years of experience in software quality assurance
Strong understanding of to ensure optimal test coverage test design techniques
Solid knowledge of any programming language (Java, C#, Python, or Typescript)
Strong understanding of SQL; ability to write complex SQL queries (joins, aggregations, groupings) for deep-level data validation
Professional experience with Spark and Spark SQL (Spark jobs, DataFrames/Datasets, data querying)
Experience with Delta Lake or/and with any of its implementations
Understanding of Behavior-Driven Development (BDD) concepts and hands-on experience with frameworks like Cucumber, SpecFlow, or similar
Strong knowledge of Git (branching, merging, rebasing, resolving conflicts)
Good understanding of containerization (running, inspecting and troubleshooting)
Hands-on experience using AI tools (e.g., GitHub Copilot, ChatGPT, or specialized QA agents) to accelerate test case generation, bug analysis, and script writing
Proactive communication skills with B1+ proficiency in both English and Russian
Strong troubleshooting skills and debugging skills for data discrepancies
Basic knowledge of Scala programming language
Experience with Apache Airflow
Basic experience with Apache Kafka for testing event-driven systems
Practical experience with CI/CD pipelines and tools (e.g., GitLab CI, GitHub Actions, or similar), including interpreting pipeline failures
Ability to write and interpret Bash scripts for task automation and environment setup
Familiarity with AI Agents, Skills, and MCP. Experience in integrating AI capabilities into testing workflows to improve efficiency
Full-time remote work opportunities and flexible working hours
Private insurance
Additional 1 Day Off per calendar year
Sports program compensation
Comprehensive Mental Health Programme
Free online English lessons with a native speaker
Generous referral program
Training, internal workshops, and participation in international professional conferences and corporate events
Skills Required
- 5+ years of experience in software quality assurance
- Strong understanding of test design techniques and test coverage
- Proficiency in at least one programming language: Java, C#, Python, or TypeScript
- Strong SQL knowledge, including complex joins, aggregations, groupings, and data validation queries
- Professional experience with Apache Spark and Spark SQL, including Spark jobs and DataFrames or Datasets
- Experience with Delta Lake or one of its implementations
- Understanding of BDD and hands-on experience with Gherkin, Cucumber, SpecFlow, or similar frameworks
- Strong knowledge of Git, including branching, merging, rebasing, and conflict resolution
- Understanding of containerization, including running, inspecting, and troubleshooting containers
- Hands-on experience using AI tools for test generation, bug analysis, and script writing
- B1+ proficiency in English and Russian
- Strong troubleshooting and debugging skills for data discrepancies
- Basic knowledge of Scala
- Experience with Apache Airflow
- Basic Apache Kafka experience for testing event-driven systems
- Practical experience with CI/CD pipelines and tools, including interpreting pipeline failures
- Ability to write and interpret Bash scripts
- Familiarity with AI Agents, Skills, and MCP, including integrating AI into testing workflows
SOFTSWISS Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SOFTSWISS and has not been reviewed or approved by SOFTSWISS.
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Healthcare Strength — Health insurance or medical-service compensation from the first day and recurring therapy sessions indicate robust core coverage and mental-health support. Feedback suggests these provisions stand out relative to basic packages, with options like gym memberships or sports allowances in some locations.
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Flexible Benefits — Remote or hybrid work options are presented as standard, with flexibility to work from home or company offices depending on role and country. Feedback suggests add-ons like language lessons and education reimbursement broaden the package’s usefulness across diverse needs.
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Wellbeing & Lifestyle Benefits — Sports support, company events, and bonuses for life events contribute to a comprehensive lifestyle offering. Feedback suggests recurring mental-health sessions and sports allowances enhance day-to-day wellbeing beyond standard healthcare.
SOFTSWISS Insights
What We Do
SOFTSWISS is a global iGaming technology provider offering a comprehensive ecosystem of software solutions for online casinos and sportsbooks. The company specializes in B2B solutions, including a Casino Platform, Game Aggregator, and Sportsbook Platform, as well as the Affilka affiliate marketing tool. They provide turnkey and white-label services, enabling operators to efficiently launch and manage their gambling businesses worldwide.
