Sword Health

3 months ago

Senior Data Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Design and operate Sword Health’s modern streaming lakehouse and data platforms at scale. Build low-latency pipelines, durable workflows, and API-first surfaces to empower clinical, operations, AI, and product teams while ensuring governance, compliance, and AI-readiness in a regulated healthcare environment.

Location: Porto

Workplace: Remote

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Design and evolve Sword’s streaming lakehouse — the foundation that every data consumer in the company depends on.
•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 — the interface producers and consumers use so they never need to touch infrastructure.
•Drive evaluations and integrations with vendor data platforms, sitting inside the architectural trade-offs rather than just consuming the output.

Pay and Benefits

Salary: EUR 46,900 - 73,700 annually

Perks:Health InsuranceVisionMeal AllowanceRemote WorkEquity

Key Requirements

•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. You understand how the format works under the hood: metadata layout, snapshots, manifests, compaction, copy-on-write vs. merge-on-read.
•Clear mental model of catalogs (REST, Polaris, Glue, Unity, Hive) — their trade-offs, and how compute stays detached from storage.
•Exposure to at least one vendor lakehouse or query platform — Snowflake, Starburst, or Databricks — at the level where you can reason about its architecture, not just use its UI.
•Strong experience with a distributed processing engine — Flink strongly preferred; Spark also fine. You can reason about its internals, fine-tune a running job, and debug a pipeline that’s silently degrading.

Experience:Healthcare

Skills:IcebergDelta LakeHudiPolarisGlueUnityHiveSnowflakeStarburstDatabricksFlinkSparkTemporalRestateRESTGRPCKafkaOpenTelemetryPrometheusGrafana

Tech Stack:IcebergDelta LakeHudiPolarisGlueUnityHiveSnowflakeStarburstDatabricksFlinkSparkTemporalRestateRESTGRPCKafkaOpenTelemetryPrometheusGrafana

Company Brief

Sword Health

Develops a digital musculoskeletal care platform combining wearable sensors, AI-driven virtual therapists, and clinical care teams to deliver remote physical therapy and rehabilitation programs for employers, health plans, and patients.

Industry: Digital Therapeutics

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Porto, Portugal

Founded: 2015

Website LinkedIn

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Sword Health

3 months ago

Senior Data Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Porto

Workplace: Remote

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Design and evolve Sword’s streaming lakehouse — the foundation that every data consumer in the company depends on.
•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 — the interface producers and consumers use so they never need to touch infrastructure.
•Drive evaluations and integrations with vendor data platforms, sitting inside the architectural trade-offs rather than just consuming the output.

Pay and Benefits

Salary: EUR 46,900 - 73,700 annually

Perks:Health InsuranceVisionMeal AllowanceRemote WorkEquity

Key Requirements

•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. You understand how the format works under the hood: metadata layout, snapshots, manifests, compaction, copy-on-write vs. merge-on-read.
•Clear mental model of catalogs (REST, Polaris, Glue, Unity, Hive) — their trade-offs, and how compute stays detached from storage.
•Exposure to at least one vendor lakehouse or query platform — Snowflake, Starburst, or Databricks — at the level where you can reason about its architecture, not just use its UI.
•Strong experience with a distributed processing engine — Flink strongly preferred; Spark also fine. You can reason about its internals, fine-tune a running job, and debug a pipeline that’s silently degrading.

Experience:Healthcare

Skills:IcebergDelta LakeHudiPolarisGlueUnityHiveSnowflakeStarburstDatabricksFlinkSparkTemporalRestateRESTGRPCKafkaOpenTelemetryPrometheusGrafana

Tech Stack:IcebergDelta LakeHudiPolarisGlueUnityHiveSnowflakeStarburstDatabricksFlinkSparkTemporalRestateRESTGRPCKafkaOpenTelemetryPrometheusGrafana

Company Brief

Sword Health

Industry: Digital Therapeutics

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Porto, Portugal

Founded: 2015

Website LinkedIn