data engineeringazureawsgcpdata warehousingairflowdatabricksdata governancedata modelling
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (Databricks/Aviation): Building and maintaining scalable data pipelines, data lake and data warehouse solutions for airline operational intelligence with an accent on cloud platforms, ETL/ELT orchestration, and trusted data delivery. Focus on designing analytics-ready data models, implementing governance and lineage frameworks, and optimizing performance, scalability, security, and cost efficiency.
Location: Dublin, Ireland; hybrid role with three days per week onsite
Company
hirify.global is a technology-driven company headquartered in Dublin that helps airlines modernize operations through cloud, data, and AI solutions.
What you will do
Design, build, and maintain scalable Databricks pipelines for ingesting, transforming, and delivering data.
Develop and optimize ETL/ELT workflows and Airflow orchestration for reliable automated delivery.
Manage cloud data platforms across AWS, Azure, and GCP, focusing on performance, scalability, security, and cost efficiency.
Implement data quality, governance, lineage, and monitoring frameworks using tools such as Atlan and Monte Carlo.
Collaborate with business stakeholders, BI teams, engineers, architects, and product owners to deliver analytics-ready datasets and data models.
Requirements
At least 5 years of experience in data engineering or a related field.
At least 3 years of hands-on Databricks experience in a production environment.
Strong expertise in cloud platforms, data lakes, data warehousing, ETL tools, and BI solutions.
Experience with data quality and governance tools, including Atlan or Monte Carlo.
Solid knowledge of data modelling, analytical problem-solving, communication, and collaboration.
Ability to work autonomously and as part of a team.
Nice to have
Master’s degree in Computer Science, Data Science, or a related field.
Experience delivering complex data pipelines and data warehouse solutions in an enterprise environment.
Experience with Scaled Agile planning and execution.
Culture & Benefits
Flexible working environment with a hybrid setup.
Career advancement opportunities.
Learning and development opportunities.
Competitive salary based on experience.
Inclusive workplace committed to diversity, equity, and inclusion.
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