Data Engineer - platform development (Hybrid Onsite

Database engineering and platform development across large database estates (Sybase/DB2 and newer platforms).

Performance tuning and optimization (query optimization, indexing strategies, workload analysis, capacity planning).

Design, testing, and implementation of database changes with a focus on resiliency and quality.

Participation in platform migration initiatives (including modernization toward Snowflake and/or SingleStore where applicable).

Version upgrades, patching, and operational readiness improvements.

Development and distribution on cloud platforms, including automation and standardization.

Work in a fast-paced Agile environment where time-to-market is key without compromising stability and control.

Intermediate knowledge of development and performance optimization on major RDBMS technologies (e.g., Sybase, DB2; plus exposure/interest in Snowflake/SingleStore is a plus).

Strong scripting skills, especially Python (automation, tooling, diagnostics, data utilities).

Basic knowledge of Unix/Linux operating systems.

Excellent written and verbal communication skills.

Desired Skills:

Data modeling concepts (logical/physical modeling, normalization, dimensional modeling).

Version control experience, preferably Git.

Data replication concepts and technologies (CDC, transactional replication, streaming-based patterns).

Agile practices (Scrum/Kanban) and CI/CD mindset for data/database delivery.

Experience working in geographically dispersed teams.

Personal attributes: integrity and ownership, strong team player, high motivation to expand technical and business knowledge.