Senior Data Platform Engineer

New

PortugalFull-TimeSenior

Salary not disclosed

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Job Details

Proven experience designing and operating data platforms at scale - warehouse, data lake, or lakehouse architectures in production.
Hands-on experience with a modern lakehouse table format - Iceberg strongly preferred; Delta Lake or Hudi also welcome.
Clear mental model of catalogs (REST, Polaris, Glue, Unity, Hive).
Exposure to at least one vendor lakehouse or query platform - Snowflake, Starburst, or Databricks.
Strong experience with a distributed processing engine - Flink strongly preferred; Spark also fine.
Familiarity with durable execution - Temporal, Restate, or similar.
Production experience building and operating APIs (REST or gRPC) at scale.
Solid understanding of Kafka and event-driven architectures.
Comfortable in regulated environments (healthcare, fintech, gov).
Platform mindset: you design for self-service, API-first, and with systems and agents.

Design and evolve Sword’s streaming lakehouse.
Build and operate distributed streaming pipelines that move data at low latency and high reliability.
Own the durable workflows that coordinate complex data movement across systems.
Shape the platform’s API surface.
Drive evaluations and integrations with vendor data platforms.
Contribute to the self-service and agentic layer: interfaces designed to be consumed by humans, systems, and AI agents alike.
Partner with data engineers and analysts on contracts, governance, and lineage.
Build and maintain AI-ready data infrastructure that powers ML and AI-driven products across Sword.
Leverage AI coding assistants and LLMs to accelerate development, automate documentation, and raise code quality.
Work in a regulated environment where audit, compliance, and governance are part of every design.

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