Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная senior-позиция даёт реальную ответственность за новую платформу данных и работу с современными инструментами, но отсутствие готовых процессов может добавить неопределённости и расширить нагрузку.
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Актуальные технологииВлияние на платформуПоддержка развитияМало готовых процессов
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (Snowflake/Databricks): Building a new data platform from scratch for asset integrity management software with an accent on architecture, heterogeneous data integration, and scalable ELT/ETL pipelines. Focus on designing the single source of truth, modelling data for product and analytical needs, and making tooling decisions across the platform.
Location: Remote in the United Kingdom
Company
hirify.global builds asset integrity management software for global leaders in oil and gas, chemicals, energy, and related industries.
What you will do
Design and build a data platform from ingestion through modelling and consumption.
Make architectural and technology decisions, evaluating options such as Snowflake and Databricks.
Connect and consolidate data from multiple IMS databases and heterogeneous sources.
Build reliable, scalable ELT/ETL pipelines and data models for product and analytical needs.
Collaborate with Product, Engineering, Domain Expertise, and other departments to turn business needs into data solutions.
Improve engineering standards through code reviews, documentation, knowledge sharing, and practice development.
Requirements
8+ years of professional Data Engineering experience.
Professional experience in a SaaS or Data-as-a-Service environment.
Strong SQL and Python skills.
Hands-on experience designing and building ELT/ETL pipelines.
Strong dimensional and/or lakehouse data modelling skills.
Production experience with at least one modern cloud data platform; Snowflake or Databricks is ideal, while BigQuery or Synapse is also accepted.
Experience integrating data from multiple heterogeneous sources.
Experience owning or influencing architecture and tooling decisions, including explaining trade-offs.
Comfort building without an existing backlog, structure, or playbook; fluent English and strong communication skills.
Nice to have
Experience with Airflow, dbt, or Dagster.
Infrastructure as code and CI/CD experience, including Terraform or Git-based workflows.
Experience with data governance, data quality, or master data management.
Experience with Azure or another major cloud.
Culture & Benefits
Full-time remote work in the UK with flexible working arrangements.
Influence over the direction and tooling of a new data platform.
Work on software used in safety-critical industries.
Small, engaged team with opportunities to propose and pioneer solutions.
Competitive compensation, additional perks, and high-quality equipment.
Continuous learning, growth investment, and team-selected activities.
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