Senior Data Engineer

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Valtech

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1997

🤝 B2B

☁️ SaaS

B2B • Marketing • SaaS

Valtech is a global digital agency focusing on experience innovation. They strive to transform businesses through a combination of technology, marketing, and data strategies. Valtech helps companies elevate their digital presence and drive commerce strategies, enhance enterprise digital transformations, and unlock marketing and performance potential. They also utilize data and AI to help organizations harness the power of information. With offices around the world, Valtech partners with businesses to shape their digital futures, offering a range of services and insights designed to enhance customer experiences.

📋 Description

• Design and implement scalable data platforms and pipelines across cloud environments • Develop reliable batch, streaming, and near-real-time pipelines 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 • Design scalable logical and physical data models • Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents • Apply modern architecture patterns including event-driven and streaming architectures • Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence • Enable data serving layers to support downstream systems

🎯 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 • 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 • Experience in Agile or consulting environments is beneficial.

🏖️ Benefits

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