About the Role
We are seeking Test Automation Specialists to design, build, and maintain automation frameworks geared towards data-related testing. The successful candidates will be instrumental in enhancing our regression testing capabilities, improving test coverage, and increasing the speed and reliability of our data platform releases.
This role occupies a unique position at the intersection of test automation engineering and data engineering — the ideal candidate will be equally comfortable working with enterprise data platforms and pipelines as they are with automation tools.
Key Responsibilities
- Design, build, and maintain an automation framework for regression testing of data platforms and pipelines.
- Develop automated test cases covering data ingestion, transformation, validation, and reconciliation scenarios.
- Execute and maintain automated test execution cycles, integrating with CI/CD pipelines.
- Identify gaps in existing test coverage and proactively design automated checks to address them.
- Collaborate with data engineers, QA, and business teams to comprehend data flows and convert them into robust test scenarios.
- Troubleshoot test failures, distinguishing between genuine data/application defects and test/environment issues.
- Document test frameworks, test cases, and results in a clear, maintainable manner.
- Continuously improve automation coverage, execution speed, and reliability.
Required Skills & Experience
- Strong, demonstrable understanding of data platforms and enterprise data — data warehouses, data lakes, ETL/ELT pipelines, data models, and data governance concepts.
- Hands-on experience building test automation frameworks (e.g., for regression testing) rather than merely executing pre-built scripts.
- Experience with automated test case design and automated test execution, ideally in data-centric environments.
- Proficiency in at least one programming/scripting language commonly used in test automation (e.g., Python, Java, or similar).
- Experience with SQL and querying large/enterprise datasets to validate data accuracy and integrity.
- Familiarity with CI/CD tools and integrating automated tests into deployment pipelines.
- Strong analytical and problem-solving skills, with meticulous attention to data quality and detail.
Preferred / Nice-to-Have
- Experience with cloud data platforms (e.g., Snowflake, Databricks, BigQuery, Azure Synapse, or similar).
- Experience with test automation/ETL testing tools (e.g., Selenium, pytest, dbt tests, Great Expectations, or similar).
- Exposure to financial services or enterprise data environments.
- Experience working in Agile/Scrum delivery teams.
Candidate Profile / Culture Fit
- Deep understanding of data — genuinely curious about how enterprise data platforms function, not merely how to test them.
- Fast learner with an adaptable mindset — able to quickly acclimate within BJB's dynamic and fast-paced culture.
- A self-starter who can navigate ambiguity and evolving requirements.
- Strong communicator, capable of collaborating closely with both technical (data engineering) and non-technical stakeholders.
Apply online using the form below. Please note that only applications matching the job profile will be considered.
Contact Information
AARK Tech Solutions GmbH
Seestrasse 11
8805 Richterswil
Work locationZürich, Switzerland