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Valtech Logo Valtech · IT - Software Development

Senior Data Engineer

Bulgaria, Sofia · Job Posted June 15, 2026
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Job Description

We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems.

Job Responsibility

  • Design and implement scalable data platforms and pipelines across cloud environments using technologies such as Spark and Delta Lake
  • Build ingestion, transformation, and curation workflows for both structured and unstructured data
  • Implement modern data architectures including lakehouse patterns and medallion layering
  • Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems
  • Enable data pipelines for GenAI use cases including LLMs, RAG pipelines, and vector-based data flows
  • Design scalable logical and physical data models for analytical and operational use cases
  • Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents
  • Apply modern architecture patterns including event-driven and streaming architectures
  • Ensure adherence to best practices in data governance, lineage, quality, and access control
  • Establish strong data observability
  • Enable data serving layers to support downstream systems
  • Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency
  • Work closely with data scientists, ML engineers, analysts, and business stakeholders

Requirements

  • Strong hands-on experience with Apache Spark and Delta Lake
  • Strong programming skills in Python and SQL
  • Proven experience building batch and streaming data pipelines and production-grade data platforms
  • Solid understanding of data modeling, data quality, and governance principles
  • Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP
  • Familiarity with modern data platforms such as Databricks and Snowflake
  • Experience with lakehouse architectures and distributed data systems
  • Strong understanding of scalability, reliability, and performance considerations in data pipelines
  • Strong problem-solving skills focused on scalability and reliability
  • Collaborative approach to working in cross-functional teams
  • Experience in Agile or consulting environments is beneficial

Nice to have

  • Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation)
  • CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation
  • Additional exposure to streaming technologies (e.g., Kafka)
  • Spark optimization
  • Advanced analytics and ML workloads (including causal or experimentation platforms)
  • Experience building data products or large-scale analytics platforms

What we offer

  • Flexibility with hybrid work options and 25 vacation days
  • Co-subsidized transportation & Multisport cards
  • Premium health insurance
  • Training policy for technical and other skills-related events, courses and certifications
  • Personal career development roadmap guided by performance evaluations
  • Self-care program offering psychological consultations & discussions
  • Cozy office space
  • Exciting team events and company gatherings
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