Staff Data Engineer

Iterable

. Build reliable data pipelines and platform capabilities powering customer-facing data movement, analytics data products, and machine learning foundations .

Posted 9/23/2026full-timeLisbon • PortugalLead💰 €82,500 - €108,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and managing reliable data pipelines and platforms, with a strong focus on data quality, observability, and operational excellence. Proficient in leading high-impact projects and influencing technical direction across teams in a collaborative environment.

Highest-signal resume keywords

Data EngineeringPython ProgrammingSQL ProficiencySnowflake Data PipelinesETL/ELT Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignData ModelingSchema EvolutionIncremental ProcessingBatch and Streaming SystemsOrchestration ConceptsOperational ExcellenceTechnical LeadershipHigh Availability DesignResilience and Recovery

Soft Skills

CollaborationInfluencing Without AuthorityMentorshipProblem DefinitionCommunication

Tools & Technologies

SnowflakeDatabricksS3PostgresRedisAWSKafkaPulsarSparkTerraform

Industry Keywords

Data EngineeringData QualityObservabilityOperational SupportData Activation Workflows

Tech Stack

Tools & technologies

AWSCloudDockerETLJavaKafkaKubernetesPostgresPulsarPythonRedisScalaSparkSQLTerraform

About the role

Key responsibilities & impact

Build reliable data pipelines and platform capabilities powering customer-facing data movement, analytics data products, and machine learning foundations
Lead large-scope or high-impact projects and drive technical decisions through ambiguity
Own architecture and end-to-end delivery of critical data ingestion and activation workflows, including source connectors, staging and transformation, diffing, incremental sync, and Iterable bulk API integrations
Define high-availability, fault-tolerance, and recovery patterns including graceful degradation, retries, replayability, backfills, idempotency, and durable workflow execution
Lead Snowflake-based data pipelines and data-sharing workflows
Establish technical standards for schema evolution, data quality, observability, testing, and lifecycle management
Partner with data science and machine learning engineers on feature generation, feature serving, model inputs, and experimentation workflows
Drive tradeoffs across batch and streaming, data modeling, latency, performance, cost, availability, and maintainability
Collaborate with product, frontend, platform, SRE, and customer-facing teams to define interfaces and resolve production issues
Identify architectural gaps and operational risks and create roadmaps, design proposals, and execution plans
Create reusable abstractions, platform capabilities, and engineering patterns
Provide technical leadership through design reviews, implementation guidance, incident reviews, and mentorship
Influence roadmap and prioritization discussions
Participate in operational support or on-call as needed

Requirements

What you’ll need

8+ years of relevant experience in data engineering, software engineering, or adjacent platform and 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 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
Strong experience with orchestration and workflow concepts, and with designing batch and/or streaming data systems
Deep understanding of data modeling, schema evolution, incremental processing, testing, observability, and operational excellence for reliable data products
Track record of owning ambiguous, high-impact technical initiatives from problem definition through adoption and operational maturity
Experience designing for high availability, resilience, and recovery in systems with strict reliability or customer delivery expectations
Experience influencing technical direction across teams and building alignment without direct authority
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
Bonus: Scala and/or Java; Snowflake, Databricks, S3, Postgres, Redis, AWS, Kafka, Pulsar, Spark, Terraform, Docker/Kubernetes, ETL/ELT orchestration

Benefits

Comp & perks

Competitive salaries & meaningful equity
Private Medical Insurance
Life/Risk Assurance
Meal Allowance: 8.55€ per day
Community Days (days for us to give back to the community)
Paid Annual Leave (22 days)
Global Lifestyle Reimbursement Account
Paid Sabbatical
Complete laptop workstation