Lead Data Engineer: Architect of Scientific Data

Knowledge Gate Group ApS; København; Hybrid; DKK 900,000 - 1,200,000; Full time

Job summary

Knowledge Gate Group ApS in Copenhagen, Denmark, hybrid, is seeking a Lead Data Engineer to build an expert intelligence platform. You will own end-to-end data pipelines, design a knowledge graph from millions of records, and shape foundational data models for research.

You’ll work at the intersection of science, data engineering and AI, using graph databases, vector search and LLM workflows to enable fast, trusted discovery and advanced analytics.

Qualifications

• Experience designing end-to-end data pipelines for life-science style domains.
• Experience building knowledge graphs or graph data models.
• Experience with entity resolution and data enrichment.

Responsibilities

• Own data end-to-end, design and run pipelines turning millions of records into a knowledge graph.
• Implement precision entity resolution and enrichment across noisy sources.
• Utilise LLM workflows for entity extraction and quality validation.
• Develop vector embeddings and semantic search for expert discovery.
• Model life-science entities, ontologies, and publication metadata.
• Build fast, reliable graph and vector data access with observability.
• Move fast, ship value incrementally and document your thinking openly.
• Collaborate asynchronously in a hybrid environment.
• Lead when needed, and question assumptions when necessary.

Skills

Graph Databases

Python Data Engineering

Entity Resolution

AI-Assisted Data Extraction

Vector Search

Workflow Orchestration

Data Formats & Standards

Embedding Models

Tools

Neo4j

ArangoDB

Neptune

Pandas

Polars

Spark

Dask

Airflow

Dagster

Parquet

JSONL

RDF/Turtle

HuggingFace

OpenAI models

Pinecone

FAISS

Qdrant

Weaviate

Job description

Knowledge Gate Group ApS in Copenhagen, Denmark, hybrid, is seeking a Lead Data Engineer to build an expert intelligence platform. You will own end-to-end data pipelines, design a knowledge graph from millions of records, and shape foundational data models for research.

You’ll work at the intersection of science, data engineering and AI, using graph databases, vector search and LLM workflows to enable fast, trusted discovery and advanced analytics.