Data engineer for customer engagement platforms

As a Data Engineer II at Iterable, you'll build reliable data pipelines and platform capabilities that power customer-facing data movement, analytics data products, and machine learning foundations. You will own moderate-scope projects with regular guidance on newer or more ambiguous problems, while collaborating across engineering, product, infrastructure, and data science to deliver scalable, observable systems.

• Build and operate components of 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.
• Improve pipeline reliability, observability, and recovery through metrics, dashboards, alerting, retries, and durable workflow execution.
• Develop and maintain Snowflake-based data pipelines and data-sharing workflows that improve freshness, correctness, and scalability for analytics products and customer-facing data delivery.
• Contribute to schema evolution, data quality checks, and operational processes that reduce discrepancies and make data systems easier to support and extend.
• Partner with data science and machine learning engineers to build and harden the data infrastructure behind feature generation, feature serving, model inputs, and experimentation workflows.
• Make thoughtful tradeoffs across batch and streaming patterns, raw-to-curated data modeling, performance, and maintainability as systems scale.
• Collaborate with cross-functional partners across product, frontend, platform, SRE, and customer-facing teams to define interfaces, debug issues, and deliver high-quality solutions end to end.
• Recommend improvements to existing processes and understand resources available to overcome unforeseen issues.
• Learn to proactively anticipate small roadblocks to accomplishing tasks and use knowledge of business unit processes to navigate them successfully.

• 3+ years of relevant experience in data engineering, software engineering, or adjacent platform and infrastructure roles.
• Experience building and operating production data pipelines, ETL/ELT systems, or data platforms at scale.
• Strong proficiency in Python and SQL, plus familiarity with at least one additional programming language such as Scala or Java.
• Experience with modern data tooling and cloud platforms such as Snowflake, S3, Databricks, Postgres, Redis, or similar systems.
• Familiarity with orchestration and workflow concepts, and with designing batch and/or streaming data systems.
• Understanding of data modeling, schema evolution, incremental processing, testing, and observability for reliable data products.
• Desire to work in a highly remote/distributed but collaborative environment.
• Willingness to participate in operational support or on-call as needed.
• Fluency in English (verbal and written).
• Legally authorized to work in the EU.
• Будет плюсом: Experience with Apache Spark, feature stores, or ML platform data workflows; Experience with Kafka, Pulsar, Airflow, or similar event-driven and workflow technologies; Experience with AWS and infrastructure-as-code tools such as Terraform; Experience supporting enterprise-grade data products with strict reliability, freshness, or customer delivery expectations; Experience with end-to-end, integration, or performance testing for data-intensive systems

• Competitive salaries & meaningful equity
• Private Medical Insurance
• Life/Risk Assurance
• Meal Allowance: 8.55€ per day
• Balance Days (additional paid holidays)
• Paid Annual Leave (22 days)
• Paid Sabbatical (after 4 years tenure)
• Initial laptop workstation setup
• Teleworking Allowance
• The base salary range for this position in Lisbon, Portugal, is €55,000 – €68,000 per year (gross).