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Iterable

Software House & Internet · 501-1,000 · Website

A Iterable é uma plataforma de engagement para grandes empresas, usada por marcas como Priceline, Box, entre outras. Transforma dados em ações, criando experiências personalizadas em diversos canais para gerar crescimento. Dá rapidez, controlo e flexibilidade às equipas, tornando o engagement num verdadeiro motor de crescimento.

4.3/5

26 Reviews

6 Vagas encontradas na Iterable

Data scientist, data engineer, IA, ML ou big data

Staff Data Engineer

Iterable 4.3 26 Reviews

Lisboa (Regime: Híbrido) Sénior €100k - 120k Bruto anual Há 2 semanas

Data scientist, data engineer, IA, ML ou big data

Staff Data Engineer (Hybrid - Lisbon)

Iterable 4.3 26 Reviews

Lisboa (Regime: Híbrido) Sénior €80k - 100k Bruto anual Há 3 semanas

Data scientist, data engineer, IA, ML ou big data

Senior Machine Learning Engineer

Iterable 4.3 26 Reviews

Lisboa (Regime: Híbrido) Sénior €80k - 100k Bruto anual Há 2 semanas

Data scientist, data engineer, IA, ML ou big data

Senior Machine Learning Engineer (Hybrid - Lisbon)

Iterable 4.3 26 Reviews

Lisboa (Regime: Híbrido) Sénior €70k - 80k Bruto anual Há 3 semanas

Data scientist, data engineer, IA, ML ou big data

Data Engineer II

Iterable 4.3 26 Reviews

Lisboa (Regime: Híbrido) Middle €60k - 70k Bruto anual Há 2 semanas

Gestor de produto

Product Manager

Iterable 4.3 26 Reviews

Lisboa (Regime: Híbrido) Sénior €60k - 70k Bruto anual Há 2 semanas

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Staff Data Engineer (Hybrid - Lisbon)

Há 3 semanas
Data scientist, data engineer, IA, ML ou big data
Lisboa
Híbrido
Sénior
Muita procura de candidatos

€80k - 100kBruto anual

Concorrer 88 pessoas clicaram em Concorrer
A candidatura é feita no site da empresa.

Avisar-me de novas vagas na Iterable Já recebes as novas vagas na Iterable Os meus alertas

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)

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.

Investimento de tempo

4 h 9 min

Investimento de tempo em entrevistas

Índice de dificuldade das entrevistas

60/100

Processo de entrevista

O nosso processo de recrutamento inicia-se com uma conversa com o Recruiter (cerca de 30 minutos), seguida de um Technical Screen de 50 minutos (problem-solving, code quality, code structure, data structure knowledge e performance).

Na fase seguinte, temos duas sessões técnicas de 40 minutos cada: code review e system design.

O processo termina com uma entrevista com o Hiring Manager para avaliar cultural fit.

De 13 reviews de entrevistas na Iterable. Ler as reviews

Quanto paga este cargo

Este anúncio paga 275% acima da mediana

Comparado com: Data scientist, data engineer, IA, ML ou big data Salários reportados 98 respostas

€80k - 100k

abaixo do intervalo típico O intervalo típico é €18k - €38k mediana €24k acima do intervalo típico

De 98 salários reportados para Data scientist, data engineer, IA, ML ou big data, a 14 meses para comparar com um valor anual. Calculadora de salários TI

✸ Benefícios e vantagens (8)

Acções da empresa
Apoio ao home-office
Ginásio & atividades desportivas
Mais de 22 dias de férias
Permite período sabático
Perto de transportes públicos
Seguro de saúde
Suporte psicológico

✸ Valores e cultura (9)

Ambiente de start-up
Ambiente internacional
Boa documentação
Códigos de alta qualidade
Equipa com senioridade elevada
Escolha do trabalhador
Igualdade de género
Membros impressionantes na equipa
Tecnologias de ponta

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