Senior Data Engineer, GCP, AI Platform

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🕒 Junho 25

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nDeavour Consulting

SiteLinkedInTodas as Vagas

1 - 10 funcionários

Fundada em 2019

💼 Consultoria

📦 Logística

📣 Marketing

Consulting • Logistics • Marketing

A nDeavour Consulting é uma empresa de recrutamento e aconselhamento de carreira sediada em Sófia, Bulgária. Com uma década de experiência, a nDeavour foca em ajudar indivíduos e empresas a alcançarem seus objetivos de crescimento, proporcionando oportunidades de trabalho excepcionais e orientação profissional. A empresa se orgulha de seus princípios de confidencialidade, agilidade, orgulho, honestidade, transparência, coragem e responsabilidade, que promovem relações fortes com clientes e candidatos.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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