Senior Data Engineer
Lumicode Sp. z o.o. (Pentacomp Group)
⚲ Warszawa
26 880 - 28 560 PLN netto (B2B)
Wymagania
- Grafana
- GCP
- Terraform
- SQL
- Python
Opis stanowiska
About us
Lumicode Sp. z o.o. is part of the Pentacomp Group, a software development company and provider of professional IT services for large enterprises and public sector organizations.
At Pentacomp, we build IT solutions that combine innovation with decades of experience. We've been on the market for nearly 30 years and have successfully delivered numerous large-scale technology projects across various industries.
What we offer
• 100% remote work
• Rate: up to 175 PLN/hour
• Working hours aligned with the UK time zone (9:00–5:00 UK time)
• International working environment
Key Responsibilities
• Design, develop, and optimize scalable, high-performance data pipelines using Python, with additional support for Go and Java-based solutions
• Build and maintain real-time data processing systems to support business-critical workloads
• Manage cloud infrastructure through Infrastructure as Code practices, leveraging Terraform and reusable modular components
• Define, implement, and continuously improve testing frameworks, including unit and integration testing with Pytest
• Ensure system reliability and observability using monitoring and logging tools such as Grafana, Prometheus, and Cloud Logging
• Manage access control and data security within Google Cloud Platform environments, with a focus on IAM best practices
• Provide ongoing platform maintenance and operational support as part of day-to-day business activities
• Participate in a rotating support model that includes:• Daytime operational support (8:00 AM – 8:00 PM),
• 24/7 on-call coverage for critical incidents,
• Dedicated development periods outside support rotations
• Collaborate closely with product and engineering teams while actively contributing to Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives
• Drive continuous improvement by enhancing internal tools, frameworks, and reusable platform components
Required Qualifications
• Strong hands-on experience with Python development
• Proven experience working with Google Cloud Platform services, including:• Compute Engine (GCE),
• Kubernetes Engine (GKE),
• Pub/Sub,
• BigQuery,
• Dataflow,
• Cloud Functions
• Solid experience with Terraform and Infrastructure as Code methodologies
• Good understanding of event-driven and distributed system architectures
• Demonstrated experience designing and building data pipelines
• Familiarity with monitoring and observability tools such as Grafana and Prometheus
• Experience implementing automated testing strategies, including integration testing and Pytest
• Strong SQL skills and experience working with large-scale datasets
• Practical experience with CI/CD pipelines and automation tools such as Cloud Build and GitHub Actions
Nice-to-Have Skills
• Working knowledge of Go and/or Java
• Experience with Databricks
• Familiarity with Dataform and data transformation workflows in BigQuery
• Experience with Google App Engine
Personal Attributes
• Comfortable working in Agile delivery environments
• Strong communication and stakeholder management skills, with the ability to collaborate across cross-functional teams
• Proactive mindset focused on continuous improvement and operational excellence
• High level of ownership, accountability, and commitment to delivering quality solutions
• English proficiency at B2+ level or higher, enabling effective communication in an international environment
Lumicode Sp. z o.o. is part of the Pentacomp Group, a software development company and provider of professional IT services for large enterprises and public sector organizations.
At Pentacomp, we build IT solutions that combine innovation with decades of experience. We've been on the market for nearly 30 years and have successfully delivered numerous large-scale technology projects across various industries.
What we offer
• 100% remote work
• Rate: up to 175 PLN/hour
• Working hours aligned with the UK time zone (9:00–5:00 UK time)
• International working environment
Key Responsibilities
• Design, develop, and optimize scalable, high-performance data pipelines using Python, with additional support for Go and Java-based solutions
• Build and maintain real-time data processing systems to support business-critical workloads
• Manage cloud infrastructure through Infrastructure as Code practices, leveraging Terraform and reusable modular components
• Define, implement, and continuously improve testing frameworks, including unit and integration testing with Pytest
• Ensure system reliability and observability using monitoring and logging tools such as Grafana, Prometheus, and Cloud Logging
• Manage access control and data security within Google Cloud Platform environments, with a focus on IAM best practices
• Provide ongoing platform maintenance and operational support as part of day-to-day business activities
• Participate in a rotating support model that includes:• Daytime operational support (8:00 AM – 8:00 PM),
• 24/7 on-call coverage for critical incidents,
• Dedicated development periods outside support rotations
• Collaborate closely with product and engineering teams while actively contributing to Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives
• Drive continuous improvement by enhancing internal tools, frameworks, and reusable platform components
Required Qualifications
• Strong hands-on experience with Python development
• Proven experience working with Google Cloud Platform services, including:• Compute Engine (GCE),
• Kubernetes Engine (GKE),
• Pub/Sub,
• BigQuery,
• Dataflow,
• Cloud Functions
• Solid experience with Terraform and Infrastructure as Code methodologies
• Good understanding of event-driven and distributed system architectures
• Demonstrated experience designing and building data pipelines
• Familiarity with monitoring and observability tools such as Grafana and Prometheus
• Experience implementing automated testing strategies, including integration testing and Pytest
• Strong SQL skills and experience working with large-scale datasets
• Practical experience with CI/CD pipelines and automation tools such as Cloud Build and GitHub Actions
Nice-to-Have Skills
• Working knowledge of Go and/or Java
• Experience with Databricks
• Familiarity with Dataform and data transformation workflows in BigQuery
• Experience with Google App Engine
Personal Attributes
• Comfortable working in Agile delivery environments
• Strong communication and stakeholder management skills, with the ability to collaborate across cross-functional teams
• Proactive mindset focused on continuous improvement and operational excellence
• High level of ownership, accountability, and commitment to delivering quality solutions
• English proficiency at B2+ level or higher, enabling effective communication in an international environment