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.<\/p>\n
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! \ud83d\ude42<\/p>\n
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.<\/p>\n
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.<\/p>\n
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.<\/p>\n
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.<\/p>\n
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<\/p>\n
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
3060 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!<\/p>\n","protected":false},"excerpt":{"rendered":"
Important: after confirming your application on this platform, you'll receive…<\/p>\n","protected":false},"author":2367,"featured_media":0,"parent":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_mo_disable_npp":"","rwu_salary_min":0,"rwu_salary_max":0,"rwu_salary_currency":"","rwu_salary_period":"","rwu_english_level":"B2","rwu_experience_months":60,"rwu_candidate_countries":"\u0412\u0435\u0441\u044c \u0441\u0432\u0456\u0442","rwu_company_type":"","rwu_industry":"other","rwu_part_time":false,"rwu_source_views":53,"rwu_source_applications":20,"rwu_source_category":"Data Engineer","rwu_source_name":"Djinni.co","rwu_source_url":"https:\/\/djinni.co\/jobs\/851106-data-engineer-id89384\/"},"job_category":[57],"job_type":[54],"class_list":["post-4038545","job","type-job","status-publish","hentry","job_category-programuvannia","job_type-povna-zainiatist"],"yoast_head":"\n