55K–68K EUR / year
Data Engineer II
DataHybrid — Lisbon, Portugal
Published on 2026-10-13
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About this role
Build and operate data pipelines and platform capabilities that support customer data ingestion, activation, analytics, and machine learning. Own moderate-scope projects while collaborating across engineering, product, infrastructure, and data science.
About the company
Iterable is a cross-channel marketing platform for email, push, SMS, and in-app messaging. It helps growth and lifecycle teams orchestrate personalized customer journeys.
Stack
PythonSQLScalaJavaSnowflakeDatabricksS3Postgres
What you'll do
- Build ingestion and activation components, including connectors, transformation workflows, incremental sync logic, and API integrations.
- Improve pipeline reliability and observability with metrics, dashboards, alerting, retries, and durable workflows.
- Develop Snowflake pipelines and data-sharing workflows for analytics and customer-facing data delivery.
- Maintain schema evolution, data quality checks, and operational processes.
- Partner with data science and ML teams on feature generation, serving, model inputs, and experimentation data workflows.
- Balance batch and streaming approaches, performance, and maintainability as systems scale.
What we're looking for
- 3+ years of relevant data engineering, software engineering, or platform experience.
- Experience building and operating production data pipelines, ETL/ELT systems, or data platforms at scale.
- Strong Python and SQL skills, plus familiarity with Scala or Java.
- Experience with modern data tools and cloud platforms such as Snowflake, S3, Databricks, Postgres, or Redis.
- Knowledge of orchestration, batch or streaming systems, data modeling, incremental processing, testing, and observability.
- Fluent in English and legally authorized to work in the EU.
- Willingness to participate in operational support or on-call as needed.
Nice to have
- Experience with Spark, feature stores, or ML platform data workflows.
- Experience with Kafka, Pulsar, Airflow, or similar technologies.
- Experience with AWS and Terraform.
- Experience supporting data products with strict reliability, freshness, or customer-delivery expectations.
- Experience with integration, end-to-end, or performance testing for data-intensive systems.
Benefits
- Equity
- Private medical insurance
- Life and risk assurance
- €8.55 daily meal allowance
- 22 days of annual leave plus additional paid Balance Days
- Paid sabbatical after four years
- Teleworking allowance
- Initial laptop workstation setup