Senior DataOps Engineer – B2B Cooperation

Job not on LinkedIn

🕒 September 17

🇵🇱 Poland – Remote

💵 zł25k - zł30k / month

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Profitroom

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2008

🏨 Hospitality

💼 Consulting

📣 Marketing

Hospitality • Consulting • Marketing

Profitroom is a hospitality-focused SaaS company providing a 360° direct-booking and hotel technology platform for hotels, resorts and hotel groups. Its integrated product suite includes a high-converting booking engine, website builder, channel manager, CRM and marketing automation, loyalty programs, AI-driven guest assistant and advertising/SEO services to boost direct bookings, increase revenue and personalize guest experiences. Profitroom targets hoteliers and property managers with B2B solutions and integrates with hundreds of partners to centralize operations and guest acquisition.

📋 Description

• Maintain and automate the cloud data platform using GCP and Databricks • Manage infrastructure as code with Terraform for GCP and Databricks • Build and maintain GitLab CI/CD pipelines, including Databricks deployments with Asset Bundles • Maintain Docker images and runtime environments for Dagster and Airbyte with zero-downtime upgrades • Own development and production environments and the release process • Set up observability through alerting, metrics, logs and data freshness monitoring • Define SLOs, handle incidents, write runbooks and conduct postmortems • Manage access, IAM, service principals and secrets according to least-privilege principles • Monitor and optimize GCP and Databricks cloud costs • Maintain and support Hermes, the AI analytics environment, including deployments, BigQuery datasets, monitoring and Langfuse tracing • Support data lineage, cataloguing and governance with DataHub • Work with Data Engineers to run pipelines reliably in production • Work with analysts on data availability, SLAs and self-service access • Automate repetitive operational work and help retire legacy tools

🎯 Requirements

• Hands-on experience with Terraform • Hands-on experience with CI/CD pipelines, Docker and Bash • Hands-on work in a cloud environment, preferably GCP, including IAM, networking and cost management • Experience with monitoring, alerting and handling production incidents • Experience operating orchestration tools such as Dagster or Airflow • Working knowledge of Databricks, including jobs, clusters and workspace administration • 3+ years of commercial experience with Python and SQL • Proficiency with deploying and running production-grade applications • Very good communication skills with technical and non-technical stakeholders • Excellent teamwork and mutual support • Fluency in Polish (C1+) and strong command of English (B2+) • Previous experience in a DevOps, SRE, Platform Engineering or Data Engineering role is nice to have • Experience with Databricks Asset Bundles and Unity Catalog is nice to have • Experience with Airbyte, DataHub or ClickHouse is nice to have • Experience running AI/LLM applications in production is nice to have • Commercial experience with Spark is nice to have

🏖️ Benefits

• Remote-first collaboration model • International technology and product projects • Flexible project collaboration setup • Planned service breaks aligned with contract terms • Opportunity to collaborate with experienced product and technology teams • Opportunity to access selected knowledge-sharing initiatives

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume