Software Development Engineer in Test (SDET)

Description

You will play a key role in defining, building, and maintaining automated testing solutions for data platforms, pipelines, analytics, and reporting systems while leveraging modern AI-powered development tools.Rate: 140 - 170zł/h via B2B Hays PolandLocalisation: 100% remoteContract length: long term cooperation Design, develop, and maintain automated data testing frameworks for Databricks-based solutions. Build and execute unit, integration, end-to-end, and regression tests for data pipelines and processing jobs. Validate data quality, completeness, accuracy, consistency, and lineage across multiple business domains. Implement and maintain data quality controls using tools such as dbt, Great Expectations, and custom automation frameworks. Integrate automated testing into CI/CD pipelines and enhance Python-based testing solutions. Verify role-based access controls and security configurations within Databricks and related platforms. Collaborate with Data Engineers, Developers, Analysts, and Business Stakeholders to ensure high-quality data delivery. Leverage AI tools for test analysis, test case generation, documentation, and data quality rule creation while ensuring all outputs are validated by a human reviewer. Contribute to best practices related to data governance, testing standards, and platform reliability. Requirements: Proven experience in automated testing of modern data platforms and data engineering solutions. Strong hands-on experience with Databricks, including: Jobs, Delta Live Tables (DLT), Unity Catalog, Change Data Feed (CDF) / Change Data Capture (CDC) Experience working with Azure services, including: ADLS Gen2, Azure SQL, Key Vault, Entra ID Strong programming skills in Python and experience building automation frameworks. Practical experience with dbt and/or Great Expectations. Experience implementing testing solutions within CI/CD pipelines using GitHub Actions and/or Azure DevOps. Good understanding of Delta Lake and Medallion Architecture principles. Experience with BDD testing practices, including Gherkin and Playwright. Strong knowledge of SQL Server and T-SQL. Experience working with AI/LLM APIs, such as OpenAI or Anthropic. Knowledge of MCP Servers and Agentic AI workflows would be a strong advantage. Excellent analytical, problem-solving, and communication skills. Ability to collaborate effectively with both technical and non-technical stakeholders.Nice to Have: Experience with enterprise data governance initiatives. Exposure to cloud-native data platforms and large-scale analytics environments. Previous experience in financial services, asset management, or investment-related industries. What You'll Gain: Opportunity to help shape the quality standards of a modern enterprise data platform. Exposure to cutting-edge Databricks, Azure, and AI technologies. Collaboration with experienced data and engineering professionals in an international environment. Influence on the adoption of modern testing and automation practices across the organization. Hays Poland sp. z o.o. is an employment agency registered in a registry kept by Marshal of the Mazowieckie Voivodeship under the number 361.

Responsibilities

• About the role: Our client from the alternative investments and asset management industry is expanding its data and technology platforms to support business growth and data-driven decision-making. The role focuses on improving data quality, reliability, governance, and automation across a rapidly growing Databricks-based ecosystem.

Informacje dodatkowe

• Nr ref.: 1201184

• Lokalizacja: Warszawa

• Rodzaj pracy: Kontrakt