Data Engineer

About the role

As a Data Engineer at Oxylabs, you will make data—both internal and external, structured and unstructured, batch and real‑time—accessible across the company while ensuring its accuracy and timeliness.

Key responsibilities

• Architect and maintain robust data models by analysing the complex data ecosystem and defining clear relationships between sources.
• Engineer and optimise scalable, high‑performance data pipelines using Google Cloud Platform and Airflow.
• Translate complex business logic into efficient transformations while upholding data quality and system reliability.
• Develop internal applications, automations and reverse ETLs with Python.
• Collaborate with cross‑functional teams to identify automation opportunities and deliver scalable technical solutions.

Required profile

• Proficiency in at least one programming language, ideally Python.
• Experience with cloud infrastructure (Google Cloud or AWS).
• Strong SQL knowledge and understanding of data modelling/warehousing principles.
• Structured problem‑solving mindset, clear communication, high ownership and attention to detail.
• Fluency in English and Lithuanian, written and spoken.

Required skills

• Python
• Google Cloud Platform
• Airflow
• SQL
• Git
• Terraform
• Docker
• Kubernetes
• CI/CD pipelines

What we offer

• Gross salary €3,500‑€5,000 per month (negotiable based on skills).
• 40+ internal learning options, external conferences, mentorship and knowledge‑sharing.
• Private health insurance, psychotherapy, on‑site well‑being consultants, 24/7 gym access and wellness app.
• Team events, overseas workation, quarterly team‑building budget and extra vacation days.
• Hybrid work model (3 office days / 2 remote) and flexible WFA options.