TechLead Data Engineering

Lead the technical design and delivery for data engineering solutions.
Architect, design, and implement optimized data pipelines for high-volume processing (Spark, Airflow, Hive, Databricks, Cloudera).
Oversee code quality, CI/CD workflows, versioning, and cloud deployments.
Build and maintain scalable data lake solutions for structured and unstructured data.
Act as a technical mentor, supporting the team in best practices and technical growth.
Write and review high-quality Scala/Spark code.
Collaborate with global business and technology teams to ensure alignment to standards and vision.
Drive compliance with internal security and regulatory policies.
Utilize AI-based automation and optimization techniques to accelerate development.
Note: Detailed project information will be shared during the recruitment process.

7+ years of experience in Big Data and large-scale systems.
Minimum 3 years hands-on experience with Spark and Scala.
Expertise in Big Data tools (Airflow, Hive, Cloudera) and orchestration systems.
Strong understanding of data modeling and performance optimization.
Proven experience in setting up DevOps processes and CI/CD pipelines.
Exposure to cloud environments (Azure preferred).
Strong communication and leadership skills, fluent in English (C1+).
Degree in Computer Science, Engineering, or related field.

Flexible cooperation model – choose the form that suits you best (B2B, employment contract, etc.)
Hybrid work setup – remote days available depending on the client’s arrangements
Collaborative team culture – work alongside experienced professionals eager to share knowledge
Continuous development – access to training platforms and growth opportunities
Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
High quality equipment – laptop and essential software provided

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