Data Engineer Offline

Reenbit is a people‑first software consultancy headquartered in Lviv. We help global clients accelerate delivery with small, senior‑only teams and a culture of trust, transparency, and continuous learning. As we expand our Google Cloud™ data practice, we’re looking for a part‑time engineer who can jump into short engagements, deliver production‑ready solutions, and shape our internal expertise.
 

Why this role?

• Flexibility: 10‑20 hours per week on a schedule you set
• Impact: Own discrete data pipelines and POCs that go live within weeks
• Influence: Help craft Reenbit’s Google‑centric data standards, templates, and knowledge base
• Growth: Access to funded certifications, internal tech talks, and mentorship opportunities
   

What you’ll do

• Design and implement data ingestion, transformation, and storage solutions on Google Cloud Platform (GCP)—primarily BigQuery, Cloud Storage, Dataflow / Apache Beam, and Pub/Sub.
• Build repeatable CI/CD workflows (Cloud Build, Terraform, GitHub Actions) for data projects.
• Optimize query performance and cost; guide teammates on partitioning, clustering, and access‑control best practices.
• Collaborate with solution architects, BI developers, and DevOps to turn business questions into reliable datasets and dashboards.
• Contribute to internal accelerators (Terraform modules, reference architectures, code snippets) that raise our delivery velocity.
• Join discovery calls and estimations to advise on effort, risks, and alternative approaches for potential projects.
   

What you bring

• At least 2 years of commercial, client‑facing experience building data solutions on GCP.
• Solid grasp of SQL, ELT/ETL patterns, streaming vs. batch processing, and data modeling.
• Hands‑on work with BigQuery plus one or more of Cloud Composer (Airflow), Workflows, Dataflow/Beam, or Dataproc/Spark.
• Proficiency in Python (or Java/Scala) for pipeline development and automation and Looker.
• A DevOps mindset: infrastructure as code (Terraform or Pulumi), Git branching flows, automated testing, and CI/CD best practices.
• Clear written and spoken English, proactive communication, and the ability to work independently within GMT +1 to +3 time zones.
   

Nice to have: Google Professional Data Engineer or Cloud Architect certification; experience migrating workloads from AWS/Azure to GCP, AI workloads on top of BigQuery; familiarity with Power BI, Vertex AI Feature Store, or Data Plex; contributions to open‑source Beam, Airflow, or dbt projects.
 

We offer:

• Annual paid leave — 18 working days (100% compensation).
• Plus 3 days of your vacation after childbirth and marriage.
• Annual paid sick leave — 7 working days (100% compensation).
• Opportunity to become a part of our professional team.
• Opportunity to participate in various events (educational programs, seminars, training sessions).
• English courses.
• Healthcare program.
• IT Cluster membership.
• Free parking place.
• Competitive compensation.