Staff Data Engineer

Iterable
Lisbon
Workplace: HybridFull timeEUR 82,500 - 108,000 annuallyFunction: Software EngineeringExperience: 8+ yearsSkills: ["Collaboration","Technical leadership","Problem-solving","Communication","Ownership"]

Build and operate next-generation data ingestion and activation workflows that power customer-facing data delivery, analytics products, and machine learning foundations. Own end-to-end architecture and delivery of high-impact pipelines, including connectors, staging/transformations, incremental sync, and bulk API integrations. Design resilient, observable Snowflake-based data pipelines, improve reliability and data quality, and lead technical standards, tradeoffs, and cross-team execution across batch and streaming systems.

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FursaFursa
Iterable
Iterable
20 hours ago

Staff Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build and operate next-generation data ingestion and activation workflows that power customer-facing data delivery, analytics products, and machine learning foundations. Own end-to-end architecture and delivery of high-impact pipelines, including connectors, staging/transformations, incremental sync, and bulk API integrations. Design resilient, observable Snowflake-based data pipelines, improve reliability and data quality, and lead technical standards, tradeoffs, and cross-team execution across batch and streaming systems.
Location: Lisbon
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Own architecture and end-to-end delivery of critical workflows in a next-generation data ingestion and activation platform, including connectors, transformations, incremental sync logic, and bulk API integrations.
  • •Define high-availability and fault-tolerance patterns (retries, replayability, backfills, idempotency, durable execution) for data-intensive systems.
  • •Lead design of Snowflake-based pipelines and data-sharing workflows that improve freshness, correctness, scalability, and operability.
  • •Establish technical standards for schema evolution, data quality, observability, testing, and lifecycle management to improve extensibility and debuggability.
  • •Partner with data science and ML engineers to architect robust data infrastructure for feature generation/serving, model inputs, and experimentation workflows.

Pay and Benefits

Salary: EUR 82,500 - 108,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceLife AssuranceMeal AllowancePaid LeaveEquityPaid Sabbatical

Key Requirements

  • •8+ years of relevant experience in data engineering, software engineering, or adjacent platform/infrastructure roles.
  • •Deep experience designing and operating production data pipelines, ETL/ELT systems, or data platforms at scale.
  • •Strong proficiency in Python and SQL, plus familiarity with Scala or Java.
  • •Experience with modern data tooling and cloud platforms such as Snowflake, S3, Databricks, Postgres, Redis, or similar systems.
  • •Experience influencing technical direction across teams and owning high-impact initiatives from problem definition through operational maturity.
Experience:8+ yearsData engineeringData platformsETL/ELTMachine learning
Skills:CollaborationTechnical leadershipProblem-solvingCommunicationOwnership
Languages:English
Tech Stack:PythonSQLScalaJavaSnowflakeDatabricksS3PostgresRedisAWSKafkaPulsarSparkTerraformDockerKubernetesETL/ELTBatch processingStreamingOrchestration

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Iterable
Provides a cross-channel growth marketing platform that enables brands to create, optimize, and personalize messaging across email, mobile, SMS, push, and in-app channels using data-driven workflows and automation.
Industry: SaaS
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn