Staff data engineer (hybrid - lisbon)

Sobre a vaga

As a Staff Data Engineer 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 lead large-scope or high-impact projects and drive technical decisions through ambiguity to deliver scalable, observable systems.

O que vais fazer

• Own the architecture and end-to-end delivery of critical workflows in 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
• Define and apply high-availability, fault-tolerance, and recovery patterns for data-intensive systems, including graceful degradation, retries, replayability, backfills, idempotency, and durable workflow execution
• Lead the design of Snowflake-based data pipelines and data-sharing workflows that improve freshness, correctness, scalability, and operability for analytics products and customer-facing data delivery
• Establish technical standards for schema evolution, data quality, observability, testing, and lifecycle management so data systems are easier to extend, debug, and support at scale
• Partner with data science and machine learning engineers to architect robust data infrastructure behind feature generation, feature serving, model inputs, and experimentation workflows
• Drive technical tradeoffs across batch and streaming patterns, raw-to-curated data modeling, latency, performance, cost, availability, and maintainability as systems scale
• Collaborate with cross-functional partners across product, frontend, platform, SRE, and customer-facing teams to define interfaces, resolve complex production issues, and align solutions with broader platform direction
• Identify architectural gaps and operational risks early, and turn them into concrete roadmaps, design proposals, and execution plans
• Create reusable abstractions, platform capabilities, and engineering patterns that raise the leverage of the broader team beyond immediately owned systems
• Provide technical leadership through design reviews, implementation guidance, incident reviews, and mentorship for senior and mid-level engineers
• Influence roadmap and prioritization discussions by connecting platform investments to reliability, scalability, and long-term engineering efficiency

O que é pedido

• 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
• A 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

Valorizado

• Designing highly available, fault-tolerant data platforms
• Disaster recovery, replay, idempotency, and backfill patterns
• Multi-tenant or enterprise-scale data delivery
• Platform standardization and reusable framework design
• Leading architecture across multiple teams
• Operational excellence for business-critical workflows

O que é oferecido

• 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
• The base salary range for this position in Lisbon, Portugal, is €82,500 – €108,000 per year (gross)