Data Engineer

We are looking for Data Engineers for the team of our Fortune 50 client, building an agentic system acting across large-scale enterprise data. The main objective of the project is to expose enterprise data into a Neo4j-backed semantic graph optimized for agentic reasoning.

This is a remote-first position for engineers based in Europe, Turkey, and Middle East with a required overlap of US working hours (2-6 PM CET).

Responsibilities

Data Modeling & ETL Development

• Built ETL pipelines from Microsoft Fabric Data Lake into Neo4j

• Design data models.

• Transform raw structured and unstructured data into clean, well-modeled graph inputs (nodes, edges, metadata).

• Create Source to Target Mappings (STMs) for ETL specifications.

• Implement automated ingestion patterns, incremental (delta) updates, and streaming/CDC workflows.

Collaboration & Agile Development

• Gather requirements, set targets, define interface specifications, and conduct design sessions.

• Work closely with data consumers to ensure proper integration.

• Adapt and learn in a fast-paced project environment.

Work Conditions

• Start Date: ASAP

• Location: Remote

• Working hours: US time zone overlap required: 2-6pm CET

• Long-term contract based-role: 6+month

Requirements

• Strong SQL skills for ETL, data modeling, and performance tuning.

• Experience with Neo4j

• Proficiency in Python, especially for handling and flattening complex JSON structures.

• Hands-on experience with Microsoft Fabric, Synapse, ADF, or similar cloud data stacks.

• Knowledge of Cypher, APOC, and graph modeling.

• Familiarity with GraphRAG, retrieval systems, or RAG hybrids.

• Understanding of software engineering and testing practices within an Agile environment.

• Experience with Data as Code; version control, small and regular commits, unit tests, CI/CD, packaging, familiarity with containerization tools such as Docker (must have) and Kubernetes (plus).

• Excellent teamwork and communication skills.

• Proficiency in English, with strong written and verbal communication skills.

• Efficient, high-performance data pipelines for real-time and batch data processing.

Nice to have:

• Knowledge of cryptography and its application in enterprise data modeling in regulated industries (Banking, Finance, Ops)

• Semantic models, ontologies, or knowledge engineering

Highlights

If you are passionate about Data Engineering, cloud-native architectures, and AI applications, this role with our client offers an exciting opportunity to work on impactful projects!