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7 дней назад

Data Engineer (Python)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Ireland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineer (Python) (Public Transport Data): Building and evolving scalable data pipelines for high-velocity transport data, including vehicle telemetry, schedules, ticketing demand, and geospatial topology, with an accent on data quality, geospatial processing, and reliable daily automation. Focus on designing ingestion and enrichment pipelines, optimizing SQL and data models, and solving complex validation, deduplication, and transportation-logic challenges across billions of passenger journeys.

Location: Galway, Ireland; hybrid working is the default in Ireland, with core hours from 10am to 4pm. Remote options depend on the role, and the work abroad programme allows up to 6 weeks.

Company

hirify.global develops a performance optimisation platform for public transport that supports data-driven decisions for major transport operators and government authorities.

What you will do

  • Design, build, and maintain scalable pipelines ingesting vehicle telemetry, schedule data, passenger ticketing/APC demand, and geospatial topology.
  • Develop automated data cleaning, validation, and deduplication logic for raw, noisy datasets.
  • Optimize processing pipelines for geospatial mapping, corridor-level analysis, and real-time or batch data enrichment.
  • Manage pipelines, monitor jobs, implement automated testing, and handle errors for reliable downstream processing.
  • Collaborate with data scientists, software engineers, and product teams to implement transportation algorithms and domain logic.
  • Troubleshoot complex processing issues, perform root-cause analysis, and improve data ingestion pipelines.

Requirements

  • 3+ years of professional experience in data engineering or a closely related field.
  • Experience designing, developing, or maintaining data pipelines, ETL/ELT processes, or data-driven systems.
  • Solid understanding of data modeling, data warehousing concepts, and data quality principles.
  • Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud Platform.
  • Advanced SQL skills, including data modeling, query performance tuning, and schema design across relational, NoSQL, and cloud data warehouses such as Snowflake, BigQuery, Redshift, MySQL, and MongoDB.
  • Proficiency in Python or Java.
  • Strong problem-solving and communication skills, collaborative cross-functional working ability, and willingness to learn, ask questions, and grow in the role.

Nice to have

  • Familiarity with modern data technologies such as Spark, Airflow, dbt, Kafka, or similar tools.

Culture & Benefits

  • Visible ownership and measurable impact, with career progression opportunities as the company grows and internationalises.
  • Health and life insurance through Laya Healthcare in Ireland and Aviva in the UK.
  • 25 days of annual leave from day one, increasing with service, plus company days off, a half day before public holidays, and an end-of-year shutdown.
  • Enhanced family leave, paid sick leave, a matching pension scheme, bike-to-work scheme, wellbeing support, and wedding leave.
  • Employee referral rewards of up to €4,000 or equivalent per referral.

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