Senior Data Engineer, GCP, AI Platform

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nDeavour Consulting

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2019

🎯 Recruiter

👥 HR Tech

🤝 B2B

Recruitment • HR Tech • B2B

nDeavour Consulting is a recruitment and career counseling company headquartered in Sofia, Bulgaria. With a decade of experience, nDeavour focuses on helping individuals and businesses achieve their growth goals by providing exceptional job opportunities and professional guidance. The company prides itself on its principles of confidentiality, agility, pride, honesty, transparency, bravery, and responsibility, which foster strong relationships with clients and candidates alike.

📋 Description

• Build the Analytics Platform (Greenfield): Design and build our first analytical data platform on GCP (warehouse, ingestion, transformation, and orchestration). • Construct Data Pipelines: Build reliable ELT/CDC pipelines from production Postgres and .NET/C# services using GCP-native tooling (Datastream, Dataflow, Pub/Sub) and dbt for transformation. • Establish Orchestration & CI/CD: Set up workflows using Cloud Composer/Airflow or Dagster, alongside data CI/CD environments and automated testing. • Model Data for AI & Analytics: Create dimensional models and a documented semantic/metrics layer to serve dashboards, data analysts, and internal Claude agents with unified definitions. • Develop the AI Data Layer: Build and maintain the retrieval substrate, embeddings pipelines, and vector storage (RAG data plumbing) to keep internal and external agents grounded in fresh data. • Own Governance & Compliance: Implement data validation, lineage, observability, and PII controls appropriate for sensitive financial, donor, payments, and cross-border tax data. • Collaborate Across Teams: Partner with the AI Systems Engineer and the .NET backend team to instrument product events and ship customer-facing insights.

🎯 Requirements

• 6+ years of Data Engineering experience, including at least one greenfield warehouse/platform build you owned end-to-end. • Expert SQL and deep PostgreSQL experience, alongside strong experience with cloud data warehouses (BigQuery is ideal). • Strong ELT/ETL design using dbt and a modern orchestrator (Airflow/Cloud Composer or Dagster). • Hands-on with the GCP data stack (BigQuery, Datastream, Dataflow, Pub/Sub, Cloud Storage). • Proficient in Python for building data pipelines and custom tooling. • Demonstrable LLM/AI data experience: Embeddings pipelines, vector stores (e.g., pgvector, Vertex AI Vector Search, Pinecone), RAG plumbing, or feature stores feeding production ML/LLM systems. • Strong grasp of data quality, lineage, observability, and PII data governance.

🏖️ Benefits

• Remote or Hybrid Work Options • Private Health Insurance, including dental care • Additional Holidays after your 1st and 5th year • Sponsored Training & Certifications • Employee Referral Bonuses • Multisport Card – fully covered • Fun Office Space with relaxation zones and free parking