Data Engineer ID89384

Important: after confirming your application on this platform, you’ll receive an email with the next step: completing your application on our internal site, LaunchPod. So keep an eye on your inbox and don’t miss this step — without it, the process can’t move forward. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Data Engineer with strong Databricks and GCP experience to develop scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation. The mandatory requirements are 2+ years of experience with Databricks and GCP, advanced SQL, and experience with Delta Lake and lakehouse architectures, along with an upper-intermediate English level. Experience building AI agents is a plus. What you will do - Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL. - Build and operationalize agentic workflows to automate data engineering and operational processes such as data validation, issue identification, troubleshooting, and workflow execution. - Integrate agentic capabilities with existing Databricks, GCP, BigQuery, and Delta Lake environments. - Develop data pipelines and processing solutions to support new business requirements and datasets. - Build reusable frameworks and components that can be leveraged across multiple data engineering and business use cases. - Implement data quality checks, monitoring, validation, exception handling, and production controls. - Optimize PySpark and SQL workloads for performance, reliability, and scalability. - Support testing, deployment, productionization, and ongoing enhancement of data and agentic solutions. - Troubleshoot complex data and production issues and implement sustainable solutions. - Collaborate with business, data engineering, and platform teams to identify further automation opportunities. Must haves - 2+ years of strong hands-on experience with Databricks and PySpark. - Advanced SQL and data-processing skills. - Hands-on experience with GCP, particularly BigQuery. - Experience with Delta Lake and modern data lake/lakehouse architectures. - Strong understanding of ETL/ELT, data pipeline design, performance optimization, and data quality. - Experience building reliable, scalable, production-grade data solutions. - Strong analytical and troubleshooting skills. - Understanding of software engineering practices, including testing, version control, deployment, monitoring, and production support. - Upper-intermediate English level. Nice to haves - Experience developing or integrating AI/agentic workflows, AI agents, or workflow automation solutions. - Experience applying AI to automate data engineering, validation, troubleshooting, or operational processes. - Familiarity with orchestration and automation frameworks. - Experience developing reusable data engineering frameworks and platform components. - Exposure to productionizing AI-enabled solutions with appropriate validation, monitoring, and human oversight. Perks - Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget - Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews - Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm - Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands - Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized - Well-being & support: access local well-being programs and people-focused support tailored to your location Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: - Short online form to confirm basic requirements - 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. - 5-minute introduction video Synchronous stage – Live interviews - Technical interview with our engineering team (scheduled at your convenience) - Final interview with your future teammates If it’s a match — you’ll get an offer!