Data Engineer II

About the role

Data Engineer II Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences. Our success is powered by extraordinary people who bring our core values—Be an Owner, Growth Mindset, Run as One, Transparency —to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work. With a global presence—including offices in San Francisco, Denver, London, Sydney, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together! How you will make an impact: 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. You will help evolve our ingestion, activation, analytics, and ML data workflows while improving reliability, data quality, and operational visibility across the platform. How you will make a difference: - 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. We are looking for people who have: - 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. Our Technology Stack: - Programming Languages: Python, SQL, Scala and/or Java - Data Platforms & Databases: Snowflake, Databricks, S3, Postgres, Redis - Infrastructure: AWS, Kafka, Pulsar - Other Relevant Technologies: Spark, Terraform, Docker / Kubernetes, ETL/ELT orchestration Bonus Points - 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. Perks & Benefits: - 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)....

Key responsibilities

• check_circleCollaborate with the team on day-to-day project tasks
• check_circleLearn tools and processes used by the organization
• check_circleDocument work and participate in team meetings
• check_circleSupport quality checks and continuous improvement

Requirements

• check_circleBuild 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.
• check_circleImprove pipeline reliability, observability, and recovery through metrics, dashboards, alerting, retries, and durable workflow execution.
• check_circleDevelop and maintain Snowflake-based data pipelines and data-sharing workflows that improve freshness, correctness, and scalability for analytics products and customer-facing data delivery.
• check_circleContribute to schema evolution, data quality checks, and operational processes that reduce discrepancies and make data systems easier to support and extend.
• check_circlePartner with data science and machine learning engineers to build and harden the data infrastructure behind feature generation, feature serving, model inputs, and experimentation workflows.
• check_circleMake thoughtful tradeoffs across batch and streaming patterns, raw-to-curated data modeling, performance, and maintainability as systems scale.
• check_circleCollaborate 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.
• check_circleRecommend improvements to existing processes and understand resources available to overcome unforeseen issues.
• check_circleLearn to proactively anticipate small roadblocks to accomplishing tasks and use knowledge of business unit processes to navigate them successfully.
• check_circle3+ years of relevant experience in data engineering, software engineering, or adjacent platform and infrastructure roles.
• check_circleExperience building and operating production data pipelines, ETL/ELT systems, or data platforms at scale.
• check_circleStrong proficiency in Python and SQL, plus familiarity with at least one additional programming language such as Scala or Java.

Skills & keywords

Benefits & perks

• check_circleMentorship
• check_circleCertificate of completion
• check_circleFlexible work arrangement where applicable