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6 дней назад

Data Engineer (Databricks)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
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 (Databricks) (Azure/Data Engineering): Building a unified relational and analytical data foundation through scalable pipelines, ETL/ELT processes, and integrated multi-source data models with an accent on Databricks, Azure, Python, PySpark, SQL, and data quality. Focus on optimizing distributed data processing, designing a single source of truth for analytics, and reviewing vendor engineering work against coding, testing, security, and CI/CD standards.

Location: Warsaw, Poland. Hybrid work model with the option to work from home two days per week and regular in-office engagement.

Company

Procter & Gamble produces globally recognized consumer brands and operates across approximately 70 countries.

What you will do

  • Design, build, test, and deploy automated data pipelines and ETL/ELT processes using Azure and Databricks.
  • Develop production-ready Python and PySpark solutions for data transformations, integrations, and aggregations.
  • Write, tune, and optimize complex SQL queries while ensuring data quality, consistency, and reliability.
  • Design and implement harmonized relational and analytical data models as a single source of truth for downstream analytics.
  • Review vendor deliverables, approve pull requests, and act as the technical subject matter expert and quality gatekeeper.
  • Partner with data analysts, business stakeholders, and the Product Owner on requirements, delivery milestones, technical trade-offs, and technical debt.

Requirements

  • Hands-on experience with relational data modeling, data warehousing, star and snowflake schemas, and database design.
  • Advanced Python and PySpark experience in distributed computing environments, including data manipulation with Pandas.
  • Expert-level SQL skills, including complex queries, advanced functions, and performance tuning.
  • Practical experience with the Azure data stack, including Azure Data Lake Storage, Azure Data Factory, Synapse Analytics, and Databricks.
  • Experience conducting code reviews, establishing engineering standards, and providing technical guidance to junior colleagues or external developers.
  • Strong analytical, problem-solving, communication, and critical-thinking skills.

Culture & Benefits

  • Hybrid work combining remote flexibility with in-office collaboration.
  • Access to large-scale projects, technology partners, and modern IT technologies.
  • Training and certification opportunities for professional development.
  • Private healthcare, stock benefits, saving plans, and sport cards.
  • Regular salary reviews and opportunities for internal role changes and promotions based on performance.
  • Employment is exclusively offered under an Umowa o Pracę full-time employment contract.

Hiring process

  • The recruitment process includes multiple evaluation stages described in the company’s recruiting materials.

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