Lead Data Engineer
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Job Location:
Monthly Salary:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
Data Platform Leadership Modern Lakehouse & Analytics
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Location: Krakow Poland (hybrid)
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Job Type: Full-time
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Compensation: PLN 270000 PLN 406000
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Our Client: Enterprise SaaS / Data Platform Environment
Work Authorization
- Must have the right to work in Poland
- Hybrid presence in Krakow required
- Visa sponsorship not available
About the Opportunity
Our client is investing heavily in modern data lake and distributed systems to power advanced analytics at scale. This role sits at the intersection of technical leadership hands-on data engineering and architectural ownership.
You will lead a team building secure scalable analytics-ready data platforms while shaping best practices across the organization.
What Youll Do
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Lead and mentor a team of data engineers
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Drive architecture for ETL/ELT pipelines and orchestration frameworks
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Oversee analytics-ready data modeling and transformation layers
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Champion data governance lineage and quality frameworks
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Ensure engineering best practices across CI/CD and testing
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Optimize performance and cost across Snowflake and Databricks
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Partner with stakeholders to align data solutions with business needs
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Promote a culture of continuous improvement and innovation
Tech Environment
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SQL and Python
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Airflow or Prefect
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dbt
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Snowflake and/or Databricks
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CI/CD and automated testing
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Infrastructure as Code
What Were Looking For
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Proven experience leading technical data engineering teams
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Strong SQL and Python programming skills
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Hands-on orchestration experience (Airflow or Prefect)
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Deep expertise with dbt and analytics modeling
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Experience operating Snowflake or Databricks at scale
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Strong data modeling and schema design knowledge
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Excellent stakeholder communication skills
Nice to Have
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Streaming ingestion (Kafka EventHub)
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Spark experience
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Data governance and lineage tooling
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Terraform or Pulumi exposure
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Cost optimization in cloud data platforms
Why This Role Stands Out
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Strategic leadership scope with hands-on impact
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Investment in modern data lake architecture
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Strong focus on innovation and advanced analytics
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Flexible hybrid model
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Long-term incentive program and training investment
If you enjoy building scalable data platforms while mentoring teams and shaping architecture wed like to meet you...
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
