About the role

The Data Engineer will develop, maintain, and monitor robust data pipelines to process AST outputs, knowledge graph structures, and vector embeddings. They will also collaborate with AI/ML engineers to normalize data and ensure consistency across pipeline runs.

What they look for

Python SQL Neo4j Qdrant Tree-sitter Data pipelines Git Docker CI/CD Unit testing Integration testing Data transformation Vector embeddings Knowledge graphs Markdown AST parsing

Requirements

Candidates must have 3+ years of commercial data engineering experience with proficiency in Python, SQL, and data manipulation frameworks. Hands-on experience with graph databases, vector search engines, or static code parsing is required.

Benefits

Premium medical package MyBenefit cafeteria platform Internal events Udemy access Language courses Company-paid certifications Internal mobility

Full description

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

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

The Legacy Code Semantic Documentation 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 Execution: Develop, test, and maintain robust data pipelines that process AST outputs, knowledge graph structures, and vector embeddings
Knowledge Base Ingestion: Write data processing scripts to ingest, normalize, and update code dependency graphs in Neo4j and vector indexes in Qdrant
Data Cleansing & Transformation: Parse raw source code structures and raw metadata into structured Markdown assets and standardized JSON/RAG inputs
Pipeline Monitoring & Debugging: Monitor execution throughput, resolve batch processing errors, and ensure data state consistency across pipeline runs
Collaboration: Work closely with Senior Data Engineers and AI/ML Engineers to optimize data retrieval speeds and pipeline efficiency

Requirements:

Professional Experience: 3+ years of commercial Data Engineering experience building and maintaining production data pipelines
Core Technical Proficiency: Solid proficiency in Python, SQL, and standard data manipulation frameworks
Hands-on Stack Exposure: Direct working knowledge of graph databases (Neo4j), vector search engines (Qdrant), or static code parsing frameworks (Tree-sitter)
Engineering Best Practices: Proficiency with Git version control, Docker containerization, unit/integration testing for data pipelines, and CI/CD workflows
Problem-Solving & Detail Orientation: Strong analytical skills with a focus on data accuracy, schema consistency, and output validation
Language: Professional proficiency in English (B2+/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 flexibility – full remote working possibilities
Care: We've got you covered with company-paid premium medical package through Luxmed
Benefits: Access the MyBenefit cafeteria platform, allowing you to choose perks that best suit your lifestyle and needs

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.

With delivery centers in Wrocław and Gdańsk, our 300+ professionals in Poland drive forward-thinking solutions for global clients. Join a community where collaboration sparks innovation—and your impact reaches millions.

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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