in4ge sp. z o.o.

Principal Data Platform Engineer (Databricks)

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SeniorOn-site·WarszawaFull-time

#343818·Dodano 6 miesięcy temu·2

Źródło: In4ge

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Tech Stack / Keywords

Databricks Node ETL DevOps CI/CDPower BI

Firma i stanowisko

In4ge is a recruitment company focused on connecting talented employees with suitable companies to foster growth and success. The role is for a key technical position in developing a platform supporting tax advisory services, combining Tech Lead and Team Lead responsibilities with real impact on technology direction and engineering team work.

Wymagania

Minimum 12 years of IT experience in corporate, global environments.
Very good English proficiency (minimum B2).
Strong software engineering fundamentals (preferred over purely data/BI profiles).
Experience with lakehouse platforms (Databricks), streaming/near real-time architectures, Databricks Structured Streaming, Delta Live Tables.
Knowledge of integration with Power BI, Microsoft Azure/M365 environment, Azure services (Functions, Service Bus/Event Hub, App Services, Cosmos DB), MongoDB.
Experience in DevOps/DataOps: CI/CD, Infrastructure as Code.
Experience with AI tools supporting development (e.g., GitHub Copilot, Codex, Claude, Gemini).
Ability to work in ambiguous environments and build solutions from scratch.
Comfortable in platform and architectural environments.
Ability to combine technology with leadership.
Experience in modern data platforms.
Understanding of streaming-first approach beyond classic ETL/batch processing.
Ability to influence technical direction of multiple teams.

Obowiązki

Platform Databricks:

Act as Tech Lead for the development of the Databricks Lakehouse platform.
Support teams in building data products (best practices, patterns, tools).
Design abstraction layers and frameworks to simplify developers' work.
Develop the platform following a developer-first approach (beyond classic ETL).

Modern Data Architecture (Streaming):

Develop architecture based on streaming and event-driven approaches.
Support transformation from classic batch data warehouses to modern solutions.
Make architectural decisions regarding performance, scalability, and reliability.

DevOps & Infrastructure:

Implement DevOps/DataOps approaches (CI/CD, Infrastructure as Code).
Co-responsible for infrastructure decisions related to the platform.
Monitor and optimize Databricks costs.
Collaborate on platform scaling and governance.

Technology Integrations:

Integrate Databricks with tools such as Power BI, Microsoft Fabric, and other data consumption systems.
Support teams at the intersection of data platform and BI.

Leadership:

Lead teams (DevOps, platform engineers, Power BI support).
Mentor and develop engineers.
Define technical direction for the platform.
Collaborate with business and stakeholders on strategy implementation.

Benefity

Real impact on the development of a modern data platform used globally.
Key technical role in an environment based on Databricks, streaming, and modern data architecture.
Work at large scale and complex enterprise solutions.
High autonomy and influence on architectural and technological decisions.
Collaboration with experienced engineering teams and business stakeholders.
Opportunities for development in platform engineering, data architecture, and technical leadership.
Access to modern tools and technologies, including AI solutions supporting development.
International work environment and cooperation with global teams.
Flexible cooperation model and long-term project in a strategic organizational area.

in4ge sp. z o.o.

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