About the role

Design and optimize high-throughput data pipelines that integrate static code analysis, graph databases, and vector indexes. Collaborate with AI/ML engineers to maintain knowledge graph schemas and ensure data integrity across automated documentation runs.

What they look for

Python Data engineering ETL/ELT workflows Neo4j Cypher Qdrant Vector search Tree-sitter AST parsing Static code analysis Knowledge graphs Docker Kubernetes CI/CD RAG pipelines Data pipeline architecture

Requirements

Requires 5+ years of professional data engineering experience with expertise in either static analysis or knowledge graph design. Candidates must be proficient in Python, graph query languages, and containerized deployment environments.

Benefits

Medical insurance Mental health support Financial consultations Legal consultations Udemy access Language courses Company-paid certifications Flexible work environment

Full description

Ciklum is looking for a Senior Data Engineer to join our team full-time in Ukraine.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About the role:

As a Senior Data Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.

The project is a 26-week enterprise initiative for a global industrial automation leader. The primary objective is to engineer an automated, AI-assisted pipeline to generate structured, system-level Markdown documentation directly from an undocumented ~400K LOC codebase (spanning IEC 61131-3 languages and ANSI C/C++).

Operating within a dedicated, zero-data-egress secure tenant, the technical architecture combines Tree-sitter AST parsing, Neo4j knowledge graphs, Qdrant vector search, and self-hosted open-weight LLMs (Llama 3.1 / Mixtral family) with NLI-based validation. Delivery is structured across 7 work packages executing over a 6-month period, governed by strict contractual KPIs: ≥95% code coverage, ≥92% NLI-verified factual precision, and ≥90% SME validation acceptance. All outputs align with EU Cyber Resilience Act (EU CRA) requirements for SBOM and source-level traceability

Responsibilities:

Data Pipeline Architecture: Build and optimize high-throughput data processing pipelines linking static code analysis outputs, graph databases, vector indexes, and LLM orchestration layers
Knowledge Graph Engineering: Design and maintain Neo4j graph schemas to map code dependencies, function calls, and module hierarchies across 400K+ LOC
AST Integration: Integrate Abstract Syntax Tree (AST) parser outputs (Tree-sitter) into downstream knowledge graphs and vector embeddings (Qdrant)
Data Lineage & Integrity: Implement bidirectional cross-reference tracking and graph snapshot versioning to ensure data consistency across batch documentation runs
Pipeline Testing & Monitoring: Establish data validation protocols and automated testing for pipeline health, throughput, and state persistence
Technical Collaboration: Partner closely with AI/ML Engineers and Architects to optimize retrieval quality and context assembly for RAG pipelines

Requirements:

Professional Experience: 5+ years of Data Engineering experience building complex, production-grade data pipelines and ETL/ELT workflows
Domain Specialization (Must cover at least ONE key domain):• Option 1 (Static Analysis Focus): Hands-on experience with Abstract Syntax Tree (AST) parsing, static code analysis (e.g., Tree-sitter, language grammars), and code structure modeling
Option 2 (Knowledge Graph Focus): Direct experience with graph database design and optimization (Neo4j/Cypher), documentation processing pipelines, and vector search integration (Qdrant)

Core Technical Stack: High proficiency in Python, graph query languages, vector storage, and modern data engineering toolkits
Infrastructure & Deployment: Familiarity with containerized execution (Docker, Kubernetes) in secure, private, or air-gapped environments
Quality & Engineering Standards: Strong focus on code quality, automated pipeline testing, CI/CD, and robust versioning
Language: Full professional proficiency in English (C1+)

What’s in it for you?

Strong community: Work alongside top professionals in a friendly, open-door environment
Growth focus: Take on large-scale projects with a global impact and expand your expertise
Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
Flexibility: Enjoy radical flexibility – work remotely or from an office, your choice
Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations

About us:

At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.

As one of Ukraine’s largest IT companies and a top employer recognized by Forbes, we’ve spent over 20 years delivering meaningful tech solutions. We proudly support diverse talent and military veterans, recognizing their unique skills and perspectives they bring to shaping the future.

Explore, empower, engineer with Ciklum!

Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

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