data engineer for customer engagement

HireHi; Lisboa; Presencial; EUR 55 000 - 68 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Private Medical Insurance

Life/Risk Assurance

Meal Allowance

Balance Days

Paid Annual Leave (22 days)

Sabbatical after 4 years

Initial laptop workstation setup

Teleworking Allowance

Resumo da oferta

HireHi ищет инженера по данным в Лиссабоне для разработки и поддержки ingestion и activation пайплайнов. Кандидат будет работать с Python, SQL и современными инструментами обработки данных, строя масштабируемые решения.

Вакансия предполагает тесное сотрудничество с командами data science и инженерными командами, участие в поддержке операционных процессов и обеспечении качества данных.

Qualificações

• 3+ года опыта в области data engineering/инфраструктуры или схожих ролях.
• Опыт построения и эксплуатации production data pipelines, ETL/ELT систем или data platforms в масштабе.

Responsabilidades

• Разработка и эксплуатация компонентов ingestion/activation платформы, включая коннекторы источников и трансформации.
• Повышение надежности пайплайнов, мониторинг и алертинг; настройка ретриев.
• Разработка Snowflake‑базированных data pipelines и совместного обмена данными.

Conhecimentos

Python

SQL

Scala

Java

Data pipelines

Batch/Streaming

Observability

Ferramentas

Snowflake

S3

Databricks

Postgres

Redis

Airflow

Kafka

Pulsar

Terraform

Descrição da oferta de emprego

Описание: Iterable is an AI customer engagement platform for enterprise-scale customer data activation, cross-channel experiences, and engagement optimization. Its platform includes Nova Intelligence, an AI layer, and supports nearly 1,200 brands across more than 50 countries.

Задачи:

• Build and operate components of the 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 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 data infrastructure for feature generation, feature serving, model inputs, and experimentation workflows
• Make tradeoffs across batch and streaming patterns, raw-to-curated data modeling, performance, and maintainability as systems scale
• Collaborate with product, frontend, platform, SRE, and customer-facing teams to define interfaces, debug issues, and deliver end-to-end solutions
• Recommend improvements to existing processes and understand available resources for addressing unforeseen issues
• Proactively anticipate small roadblocks and use knowledge of business unit processes to navigate them
• Own moderate-scope projects with regular guidance on newer or more ambiguous problems
• Evolve ingestion, activation, analytics, and ML data workflows while improving reliability, data quality, and operational visibility

Требования:

• 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 designing batch and/or streaming data systems
• Understanding of data modeling, schema evolution, incremental processing, testing, and observability for reliable data products
• Willingness to participate in operational support or on-call as needed
• Legally authorized to work in the EU
• Fluent in spoken and written English
• Будет плюсом: experience with Apache Spark, feature stores, or ML platform data workflows
• Будет плюсом: Kafka, Pulsar, Airflow, or similar event-driven and workflow technologies
• Будет плюсом: AWS and infrastructure-as-code tools such as Terraform
• Будет плюсом: enterprise-grade data products with strict reliability, freshness, or customer delivery expectations
• Будет плюсом: end-to-end, integration, or performance testing for data-intensive systems

Условия:

• Локация: Лиссабон
• Competitive salaries and 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 of tenure
• Initial laptop workstation setup
• Teleworking Allowance
• Base salary range in Lisbon, Portugal: €55,000 – €68,000 per year (gross)