Data Engineer ID89384
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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 5+ 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
- 5+ 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!