Senior Data Engineer

About the Position

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.

Responsibilities

• Build & Data Platform Engineering

  • Design and implement scalable data platforms and pipelines primarily on AWS and Databricks, with exposure to other cloud environments (Azure/Fabric, GCP, Snowflake) considered a plus.
  • Develop reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake, and build ingestion, transformation, and curation workflows for both structured and unstructured data.

• Enable AI, GenAI & Data Products

  • 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), as well as agent-based architectures and intelligent workflows.

• Data Modeling, Orchestration & Automation

  • Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains.
  • Orchestrate workflows using tools such as Airflow, dbt, Databricks Workflows, or equivalents, with a strong focus on automation, reliability, and maintainability of end-to-end pipelines.

• Architecture, Governance & Observability

  • Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC).
  • Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence.

• Data Serving, Integration & Optimization

  • Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems, including ML and AI platforms.
  • Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency across AWS and Databricks environments.

• Requirements Discovery & Business Partnership

  • Bring genuine curiosity to every engagement - ask the right questions to understand not just what stakeholders are asking for, but why.
  • Apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and refine business requirements.

• Collaboration

  • Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions.
  • Support adoption of data products and contribute to best practices across the data and AI ecosystem.

Requirements

Must Have Qualifications

• Technical Skills

  • Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL.
  • Proven experience building batch and streaming data pipelines and production-grade data platforms, with a solid understanding of data modeling, data quality, and governance principles.

• Cloud & Platforms (Key Requirement)

  • Strong, demonstrable hands-on experience with AWS and Databricks is essential. Familiarity with other modern data platforms such as Snowflake, Azure/Fabric, or GCP is a plus but not required.

• Architecture & Systems Thinking

  • Experience with lakehouse architectures and distributed data systems, and a strong understanding of scalability, reliability, and performance considerations in data pipelines.

• Mindset

  • Naturally curious, with strong problem-solving skills focused on scalability and reliability, and a collaborative approach to working in cross-functional teams.
  • Comfortable applying common sense thinking, detailed analysis, and experience-based recommendations to help derive and challenge business requirements rather than taking them at face value. Experience in Agile or consulting environments is beneficial.

Nice to Have Qualifications

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

We Offer

This is a Full-time position based in Ukraine.

Beyond a competitive compensation package, we offer:

• Mental and Physical Health

  • Medical insurance
  • Sports reimbursement budget
  • Home office support
  • A number of free psychological and legal consultations
  • Maternity and paternity leave support

• Personal and Professional Development

  • Internal workshops and learning initiatives
  • English language classes compensation
  • Professional certifications reimbursement
  • Participation in professional local and global communities
  • Growth Framework to manage expectations and define the steps to move towards the selected career
  • Mentoring program with the ability to become a mentor or a mentee to grow to a higher position
  • Valtech Ukraine has a system of progressive benefits packages in place - the longer you stay with the company - the more benefits you get.

About the Company

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.

Are you ready to create what’s next? Join us.

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