Lead Data Engineer

• Design and evolve end-to-end data architectures, including ingestion, processing, storage, and analytics
• Lead the development of reliable, scalable, and cost-effective data pipelines for both batch and streaming workloads
• Optimize ETL/ELT workflows across multiple domains and data sources
• Own and maintain orchestration systems and ensure observability, lineage, and reliability standards are met
• Collaborate cross-functionally with product managers, analysts, and engineers to translate data needs into architectural plans
• Ensure compliance with data governance, security, and privacy best practices
• Mentor and support data engineers, review code, and contribute to the team’s technical culture
• Stay ahead of trends in data tooling, cloud infrastructure, and engineering best practices
• Define and track success metrics for data quality, pipeline performance, and system cost-effectiveness

• Minimum 5+ years of experience in data engineering with strong exposure to large-scale production systems
• Proven track record designing and deploying robust, cloud-native data architectures
• Expert-level proficiency in Python and SQL, including best practices for testing and modularity
• Solid experience with orchestration tools such as Airflow, Dagster, or Prefect
• Deep familiarity with modern data platforms such as Databricks, Snowflake, BigQuery, or Palantir
• In-depth knowledge of at least one major cloud provider (AWS, GCP, or Azure)
• Strong understanding of streaming systems like Kafka, Pulsar, or Kinesis
• Proven ability to mentor engineers and lead technical initiatives
• Excellent communication skills and the ability to translate complex requirements into elegant systems
• Strong leadership and mentoring abilities
• Strategic thinking with hands-on implementation skills
• Highly autonomous with a problem-solving mindset
• Strong documentation and system-design communication
• Collaborative, pragmatic, and business-aligned decision-making
• Fluent in English

DevOps & Observability: Terraform, GitHub Actions, DBT, DataDog, Great Expectations (nice to have)

• Flexible work schedule and remote work days
• ESOP (Employee Stock Ownership Plan) so that you grow with us
• Additional loyalty vacation days (up to 28 total vacation days based on experience and time with us)
• Health package via Regina Maria Clinic
• Meal tickets (40 RON/day)
• Discounted gym subscription