Lead Data Engineer
2 dni temu
Lead Data Engineer – Onsite in Gdańsk or Kraków (5 days/week)
Rate: 210 PLN per day
We are seeking a highly skilled
Lead Data Engineer
to join our team and drive the implementation of advanced data solutions within a cutting-edge investment intelligence platform. This role is fully onsite
Monday–Friday
in either
Gdańsk or Kraków
due to the collaborative and sensitive nature of the work.
Key Responsibilities
Data Integration & Management
- Identify and integrate structured, unstructured, and semi-structured data sources.
- Implement
RBAC
, logical data models, compliance practices, and data lineage standards. - Document business transformations and define data quality rules and approaches.
- Build and maintain a detailed
data catalog
, registering assets with metadata focused on sensitivity and security.
Design Implementation
- Translate and deliver the architectural blueprint of the Data Factory across acquisition, preparation, and consumption layers.
- Ensure strong data management and data quality to enable automated investment workflows and AI-driven analytics.
- Apply data sharding concepts to support scalability.
- Implement a
Neo4j-based Knowledge Graph
as the core data layer for investment intelligence. - Enable full investment decision traceability by linking research, strategies, and portfolio actions into a unified lineage graph.
Advanced Data Solutions
- Develop and maintain a
multi-dimensional asset ontology
for flexible categorization and cross-dimensional analysis. - Integrate
temporal versioning
to support time-aware queries and historical context preservation. - Incorporate
GraphRAG
to transform unstructured documents into queryable, attributed graph entities.
Security & Access Control
- Implement
property-based access control
ensuring secure multi-tenant visibility and query-level protection. - Oversee real-time ingestion pipelines for structured, unstructured, and operational data.
Data Architecture & Governance
- Lead the implementation of scalable data warehousing solutions using
Snowflake
. - Define and develop data quality and governance frameworks ensuring platform-wide integrity and compliance.
- Drive development and ongoing maintenance of a fully featured data catalog with metadata and security considerations.
Requirements
Technical Expertise
- Strong proficiency in Snowflake and Airflow – absolutely essential.
- Deep understanding of
GraphRAG
and
graph data structures
. - Solid background in data architecture and data design, ideally with exposure to market data sources.
AI & Integration
- Experience working within AI-assisted and AI-driven architectures.
- Ability to mentor EPAM and client teams on
Cypher
, graph technologies, and RAG traversal patterns.
Additional Skills
- AWS experience is a plus.
Work Arrangement
- Must be onsite 5 days per week
in either
Gdańsk
or
Kraków
—no remote or hybrid options.
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