Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указанаразвернуть
На похожих ролях по рынку
$58к$67кмедиана$70к
16 в выборке
На СНГ рынке: $3.6к/мес ($3.1к - $4.3к)
89
Крутая вакансия
развернуть
Чётко очерченная роль даёт заметную самостоятельность и практический опыт с современной lakehouse-платформой на AWS, но контракт доступен только специалистам из Польши.
?Только Польша
Современный стек
Влияние на платформу
Понятные задачи
?Контрактный формат
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer - Data Team (AWS/Kafka/Apache Iceberg): Building a governed AWS lakehouse and data platform for fare payment events with an accent on ingestion, privacy controls, query access, and data quality. Focus on designing reliable pipelines, managing schema evolution and personal data, measuring performance and cost, and migrating existing reporting workloads.
Location: Fully remote, based in Poland
Company
hirify.global builds fare collection and mobile ticketing platforms used by transit agencies and millions of riders worldwide, including the Justride platform and mobile ticketing SDK.
What you will do
Build and run services that ingest Kafka topics into Apache Iceberg tables on AWS, including partitioning, compaction, deduplication, and historical backfills.
Develop clean, tested, maintainable production code; contribute to code reviews, CI checks, and shared engineering standards while using AI coding tools responsibly.
Define data contracts with producing teams, including Avro schemas, field-level classification, schema evolution rules, and enforcement checks.
Implement privacy and access controls, including personal-data erasure, retention, and per-agency permissions.
Build the query layer for the customer-facing data API and provide access through Athena.
Evaluate and document technical approaches, measure performance and cost, migrate existing dashboards and finance extracts, and later build curated metrics and datasets for BI tools and an AI analytics assistant.
Requirements
Solid software engineering fundamentals, including production coding, proper testing, Git, and CI pipelines.
Daily use of AI coding tools with careful review of their output, especially for SQL, schema changes, and data-correctness concerns.
Good SQL skills and experience building or running data pipelines from source through query.
Solid understanding of data modelling.
Clear, confident written and spoken English.
Nice to have
Production experience with a lakehouse or data warehouse.
Production experience with Kafka and schemas, ideally Avro.
Experience with personal data privacy, retention, and access control.
Ability to make design decisions and explain trade-offs in writing and conversation.
Experience working closely with teams that produce data.
JVM experience with Kotlin or Java, Apache Iceberg, Terraform, AWS Lake Formation, or DuckDB.
Culture & Benefits
Full-time remote contract role for people based in Poland.
Work in a small Data team with ownership of technical direction, design decisions, and engineering standards.
Learn to build a data platform from the ground up for a global fare payment product.
Gain hands-on experience with Iceberg, Athena, Lake Formation, Kafka, Avro, and AWS.
Open, trust-based, inclusive environment focused on learning, empathy, and accessibility; reasonable adjustments are available during the hiring process.
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 →