3 дня назад
Data Engineer (Contractor)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Contractor) (Fintech/AI): Building and operating scalable data pipelines, cloud data infrastructure, and analysis-ready datasets with an accent on data quality, security, reliability, and performance optimization. Focus on distributed processing, MLOps automation, CI/CD for ML, data governance, and troubleshooting across pipelines, infrastructure, and deployments.
Location: Fully remote, with the role listed in Warsaw, Poland
Company
Payment technology company providing multicurrency accounts, e-commerce tools, and other solutions that help businesses accept and manage payments.
What you will do
- Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations.
- Develop scalable data architecture and deliver curated, analysis-ready datasets for analysts and data scientists.
- Implement data quality, testing, monitoring, lineage, reliability, access control, auditability, and governance practices.
- Optimize Spark jobs, queries, partitioning strategies, workflows, cost, and scalability.
- Build and maintain MLOps automation, including CI/CD for machine learning, environment management, artifact handling, and versioning.
- Document standards and contribute to continuous improvement of the data platform and engineering processes.
Requirements
- At least 3 years of experience building and maintaining production-grade data pipelines and datasets.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Strong Python and SQL skills, including data structures, performance optimization, and ETL/ELT processes.
- Experience with orchestration tools such as Airflow, Dagster, or Databricks Workflows and distributed processing in a cloud environment.
- Experience with at least one major cloud provider: GCP, AWS, or Azure.
- Ability to troubleshoot issues across data, infrastructure, pipelines, and deployments, and communicate clearly with technical and business stakeholders.
Nice to have
- Strong GCP ecosystem experience with BigQuery, Composer, Dataproc, Cloud Run, Dataplex, or Cloud Storage.
- Experience with incremental ingestion from databases and APIs, analytical data modeling, data warehouses, and dimensional concepts.
- Experience with CI/CD, Terraform, DataOps, data governance, observability, incident response, and model monitoring.
Culture & Benefits
- Work in an international, technology-focused environment.
- Access to internal upskilling and training through Academy.
- Unlimited access to LinkedIn Learning courses.
- Team-building, social activities, and multinational professional networks.
- Compensation package and referral bonus.
Hiring process
- Submit an application form and CV in English.
- Applications are reviewed confidentially in accordance with GDPR, with shortlisted candidates contacted for further steps.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →