data engineer for customer engagement

Iterable is an AI customer engagement platform for enterprise-scale customer data activation, cross-channel experiences, and engagement optimization. Its platform includes Nova Intelligence, an AI layer, and supports nearly 1,200 brands across more than 50 countries.

• Build and operate components of the 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 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 data infrastructure for feature generation, feature serving, model inputs, and experimentation workflows
• Make tradeoffs across batch and streaming patterns, raw-to-curated data modeling, performance, and maintainability as systems scale
• Collaborate with product, frontend, platform, SRE, and customer-facing teams to define interfaces, debug issues, and deliver end-to-end solutions
• Recommend improvements to existing processes and understand available resources for addressing unforeseen issues
• Proactively anticipate small roadblocks and use knowledge of business unit processes to navigate them
• Own moderate-scope projects with regular guidance on newer or more ambiguous problems
• Evolve ingestion, activation, analytics, and ML data workflows while improving reliability, data quality, and operational visibility

• 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 designing batch and/or streaming data systems
• Understanding of data modeling, schema evolution, incremental processing, testing, and observability for reliable data products
• Willingness to participate in operational support or on-call as needed
• Legally authorized to work in the EU
• Fluent in spoken and written English
• Будет плюсом: experience with Apache Spark, feature stores, or ML platform data workflows; Kafka, Pulsar, Airflow, or similar event-driven and workflow technologies; AWS and infrastructure-as-code tools such as Terraform; enterprise-grade data products with strict reliability, freshness, or customer delivery expectations; end-to-end, integration, or performance testing for data-intensive systems

• Локация: Лиссабон
• Competitive salaries and 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 of tenure
• Initial laptop workstation setup
• Teleworking Allowance
• Base salary range in Lisbon, Portugal: €55,000 – €68,000 per year (gross)