Staff Data Engineer — Remote, Scalable Data Pipelines

Iterable, Inc.; Lisboa; Presencial; EUR 83 000 - 108 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary

Equity

Private medical insurance

Life assurance

Meal allowance

Community days

Paid annual leave

Lifestyle reimbursement account

Paid sabbatical

Laptop

Resumo da oferta

Iterable is the AI customer engagement platform, trusted by global brands and powering activation of customer data, cross‑channel experiences, and ML foundations with Nova Intelligence. We are building scalable data infrastructure with a culture of ownership and collaboration.

As a Staff Data Engineer in Lisbon, you will lead architecture and end‑to‑end delivery of critical data workflows, collaborate with data science and engineering teams, and establish high‑availability patterns across batch

Qualificações

• 8+ years of relevant experience in data engineering, software engineering, or adjacent platform and infrastructure roles.

Responsabilidades

• Own the architecture and end-to-end delivery of critical workflows in our next‑generation data ingestion and activation platform, including source connectors, staging and transformation workflows, diffing and incremental sync logic, and integrations with Iterable bulk APIs.
• Define and apply high‑availability, fault‑tolerance, and recovery patterns for data‑intensive systems, including graceful degradation, retries, replayability, backfills, idempotency, and durable workflow execution.
• Lead the design of Snowflake‑based data pipelines and data‑sharing workflows that improve freshness, correctness, scalability, and operability for analytics products and customer‑facing data delivery.
• Establish technical standards for schema evolution, data quality, observability, testing, and lifecycle management so data systems are easier to extend, debug, and support at scale.
• Partner with data science and machine learning engineers to architect robust data infrastructure behind feature generation, feature serving, model inputs, and experimentation workflows.
• Drive technical tradeoffs across batch and streaming patterns, raw‑to‑curated data modeling, latency, performance, cost, availability, and maintainability as systems scale.
• Collaborate with cross‑functional partners across product, frontend, platform, SRE, and customer‑facing teams to define interfaces, resolve complex production issues, and align solutions with broader platform direction.
• Identify architectural gaps and operational risks early, and turn them into concrete roadmaps, design proposals, and execution plans.
• Create reusable abstractions, platform capabilities, and engineering patterns that raise the leverage of the broader team beyond immediately owned systems.
• Provide technical leadership through design reviews, implementation guidance, incident reviews, and mentorship for senior and mid‑level engineers.
• Influence roadmap and prioritization discussions by connecting platform investments to reliability, scalability, and long‑term engineering efficiency.

Conhecimentos

Python

SQL

Scala

Java

Data pipelines

ETL/ELT

Snowflake

Databricks

S3

Postgres

Redis

AWS

Kafka

Pulsar

Spark

Terraform

Docker

Kubernetes

Ferramentas

Snowflake

Databricks

S3

Postgres

Redis

AWS

Kafka

Pulsar

Spark

Terraform

Docker

Kubernetes

Descrição da oferta de emprego

Iterable is the AI customer engagement platform, trusted by global brands and powering activation of customer data, cross‑channel experiences, and ML foundations with Nova Intelligence. We are building scalable data infrastructure with a culture of ownership and collaboration.

As a Staff Data Engineer in Lisbon, you will lead architecture and end‑to‑end delivery of critical data workflows, collaborate with data science and engineering teams, and establish high‑availability patterns across batch