Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Задачи по data engineering описаны чётко, есть работа с ML в продакшене и хорошие льготы, но удалённый формат доступен только из Ирландии.
?Только Ирландия
Современный стек
Поддержка развития
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer II (Python/AWS): Building and transforming data pipelines, warehouses, and feature workflows for marketplace reporting, website features, and predictive models with an accent on data reliability, scalable analytics, and production machine learning. Focus on designing distributed data systems, productionising model training and scoring workflows, and integrating Amazon Bedrock into AI use cases.
Location: Remote in Ireland; Dublin office available for flexible working
Company
hirify.global operates Ireland's leading online marketplaces, including Daft.ie, DoneDeal.ie, and Adverts.ie.
What you will do
Develop data pipelines and transformations supporting data production and consumption across the organisation.
Ensure data is trusted, timely, and appropriate for consumers, colleagues, partners, reporting, and insights.
Drive data modelling to simplify raw data into consumable datasets.
Build and maintain feature pipelines and training/scoring workflows for predictive models in production.
Maintain the data platform and collaborate with application development teams to deliver website data features.
Use modern AI tooling such as Amazon Bedrock for marketplace and internal self-service data use cases.
Requirements
At least 2 years of proven data engineering experience, including some exposure to machine learning in production.
Hands-on experience with SQL, including DDL and DML, and Python.
Experience with relational databases such as Redshift, Postgres, and MySQL.
Experience with large-scale data warehousing and analytics projects built on highly available, distributed systems.
Collaborative spirit and growth mindset.
Nice to have
Experience building or productionising machine learning workflows in Python, including scikit-learn or XGBoost, and evaluating model performance.
Experience with cloud technologies, including AWS services such as Redshift, Lambda, Athena, S3, Kinesis, Glue, Bedrock, and SageMaker.
Experience with ML platforms and MLOps tooling, including feature stores and model monitoring.
Culture & Benefits
Full-time permanent employment with a remote workplace setup and access to a Dublin city centre office.
22 days of annual leave initially, 3 company days over Christmas, four August Fridays off annually, and up to 26 days after service-based increases.
Fully paid Irish Life Healthcare, wellbeing activities, and a 5% pension contribution.
TaxSaver Commuter Scheme and Bike to Work Scheme.
Personal development plans and a culture focused on growth, simplification, collaboration, and impact.
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