- Own the end-to-end data architecture, from ingestion and streaminf through the lakehouse to analytics and BI.
- Define data modelling standards, table partitioning and layout stategy, and schema-evolution and migration practices.
- Set governance, data-contract, lineage, and data quality standards across data domains.
- Stay hands-on: protoripe pipelines, tune analytical queries, and buid reference implementations the team follows.
- Hands-on DBA experience is required for this role, including database perdormance, tuning, query optimalization, indexing, partitioning, capacity planning.
Requirements
- BSc or MSc degree in an IT field.
- 7+years in data engineering or architecture, including designing lakehouse or large-scale analytical (OLAP/MPP) architectures.
- Experience with open table formats (e.g. Apache Iceberg) and modern columnar analytics engines.
- Expert SQL and strong Data modeling skills (dimensional and analytical/wide-table).
- Hands-on experience with distributed data processing and/or streaming, and with running data systems on Kubernetes.
- Demonstrated technical leadership of data team or major initiative.
- English/hungarian language skills.
Advantages
- Hybrid or on-premises experience and capacity/cost planning at large scale.
- Background in AdTech, MarTech, or other high volume analytics businesses.
- Familiar with geographic data systems and spacial indexing technologies (e.g., H3, Geohash).
Benefits
- Global collaboration with diverse teams.
- A team of great engineers.
- Cafeteria.