Senior Data Engineer
Via agency · Randstadhu
Software developer
Database administratorSystems analystFlexibleFull-timeBudapest
Our client is a US-headquartered, market-leading enterprise in their sector with a multi-decade history and an agile, global network. We are seeking highly skilled Senior Data Engineers to join their expanding Budapest team as key technical individual contributors. In these roles, you will build robust data platform solutions, optimize core pipelines, and directly shape future-proof, data-driven, and AI-enabled infrastructure.
Tasks
- Design, build, and maintain high-performance, end-to-end data pipelines covering ingestion, processing, quality assurance, and delivery layers. Own critical data architecture decisions and technical implementations.
- Optimize data platform performance, reliability, and cost across Databricks Lakehouse architectures. Apply advanced tuning techniques (partitioning, clustering, materialized views, pre-aggregation) and implement medallion patterns.
- Partner closely with data science, analytics, and ML/AI operations teams to build platforms and pipelines that enable model development, training, feature engineering, and production deployment.
- Establish and drive best practices around data quality assurance, governance, metadata management, validation frameworks, and platform observability.
- Manage infrastructure as code and CI/CD practices across Git-based deployment workflows.
- Influence technical direction, mentor junior engineers, evaluate and adopt emerging technologies, and effectively partner across both technical and non-technical stakeholders.
Conditions & benefits
Competitive CompensationSenior level base salary and annual target bonus.Benefits PackageCafeteria allowance and private health insurance package.FlexibilityHybrid working model requiring 2 days of office presence (Budapest) and offering 3 days of Home Office per week.
Requirements
- 10 years of professional data engineering experience building production-grade data systems.
- Deep expertise with Databricks and Apache Spark, with proven experience optimizing complex distributed workloads.
- Production experience with the Databricks Lakehouse on AWS (Unity Catalog, Delta Lake, Delta Live Tables, Databricks SQL) alongside core supporting AWS services (S3, IAM, Lambda, RDS).
- Expert SQL skills and strong programming proficiency in Python (PySpark). (Scala knowledge is a plus).
- Solid understanding of Lakehouse and data warehouse architectures, medallion patterns, and dimensional modeling.
- Professional experience at companies where data ingestion, delivery, and consumption are core business functions.
- Strong communication skills with a proven ability to mentor junior engineers, influence technical direction, and partner across diverse stakeholders.