9 часов назад
Lead Data Engineer (Databricks)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Engineer (Databricks): Building and evolving a scalable, governed, AI-ready enterprise data platform with an accent on data warehouses, data lakes, and high-performance ETL/ELT pipelines. Focus on migrating legacy data models, developing batch and real-time processing solutions, and enabling analytics, automation, and AI use cases.
Location: Krakow, Poland
Company
is a people-oriented, multicultural organization focused on safety, ethics, and digital innovation.
What you will do
- Build and maintain scalable enterprise data warehouses, data lakes, and monitoring applications.
- Drive migration from legacy data models and develop high-performance ETL/ELT pipelines using Databricks, SQL, Python, and PySpark.
- Integrate, transform, and standardize data across Supply Chain, Finance, Sales, Marketing, and other enterprise systems.
- Develop and optimize batch, near-real-time, and real-time data processing solutions.
- Provide technical leadership in the Databricks environment, mentor data engineers, and establish engineering standards.
- Partner with business and technology stakeholders to deliver governed data solutions for analytics, scenario planning, intelligent automation, and AI use cases.
Requirements
- 10+ years of experience in data engineering, data warehousing, analytics engineering, or related fields.
- Bachelor’s degree in IT Engineering, Information Systems, Analytics, or a related discipline; a master’s degree is preferred.
- Strong expertise in SQL, Python, data modeling, ETL/ELT development, and data warehouse architecture.
- Hands-on experience with Databricks, Databricks Apps, PySpark, data lake architecture, API development, Git, and DevOps.
- Knowledge of Azure Data Platform, Azure Data Factory, machine learning enablement, data security and governance, compliance, and Power BI.
- Ability to lead large-scale data transformation initiatives, translate business requirements into scalable solutions, and collaborate with multicultural stakeholders.
Nice to have
- Knowledge of Supply Chain processes and ERP/SAP environments.
- Master’s degree in a related field.
Culture & Benefits
- Collaborative and multicultural working environment.
- People-oriented culture with opportunities to contribute ideas and experience.
- Opportunity to support a long-term enterprise data transformation journey.
- Safety and ethics are core organizational priorities.
Hiring process
- Applications are reviewed by a Talent Acquisition Partner.
- Candidates receive updates and support throughout the application process.
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