Назад
6 дней назад

Senior Data Engineer (Databricks)

Формат работы
remote (только Poland)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
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Описание вакансии

🚀 We’re Hiring: Senior Databricks Engineer / Data Engineer
🌍 Location: Remote — Poland (STRICTLY Poland only — no relocation provided)
📅 Start: ASAP

We are looking for an experienced Senior Data Engineer to lead the design and implementation of scalable data processing solutions for an international financial services company. You’ll be working with modern Lakehouse architectures, cloud-native technologies, and large-scale distributed data systems in an Agile engineering environment.
⚠️ Important: Only candidates currently based in Poland will be considered. Relocation is not available.

🛠 Tech Stack

Core: Data Engineering, Databricks, Python, PySpark
Cloud: Azure / AWS / GCP (strong hands-on required)
Data Architecture: Delta Lake, Lakehouse architecture
Data Processing: Scalable pipelines, distributed processing, real-time streaming (nice to have)
DevOps & CI/CD: Git, CI/CD pipelines, Infrastructure as Code
Governance: Data security, data quality, performance tuning, monitoring

📋 What You’ll Be Doing

Leading the design and implementation of scalable data processing solutions using Databricks
Designing, developing, and optimizing end-to-end data pipelines using Python, PySpark, and cloud-native technologies
Collaborating closely with Solution Architects to define and promote data engineering best practices
Ensuring data quality, security, scalability, and performance across cloud environments
Taking ownership of existing data solutions, including optimization, troubleshooting, and continuous improvement
Providing technical leadership, mentoring, and guidance to other data engineers
Supporting architectural decisions and contributing to long-term platform strategy
Participating in code reviews, technical discussions, and knowledge-sharing initiatives
Working in Agile teams with CI/CD-driven delivery

🎯 What We’re Looking For

8–9 years of experience in Data Engineering or related roles
Strong hands-on experience with Databricks
Advanced knowledge of Python and PySpark
Experience designing scalable data pipelines and distributed data processing systems
Strong understanding of cloud platforms (Azure, AWS, or GCP)
Experience with data optimization, performance tuning, and monitoring
Knowledge of data security and governance best practices
Experience working in Agile delivery environments
Strong communication and collaboration skills
Ability to work independently and lead technical initiatives

💡 Nice to Have

Experience with Delta Lake and modern Lakehouse architecture
CI/CD and Infrastructure as Code knowledge
Experience mentoring teams or acting as a technical lead
Familiarity with streaming technologies and real-time processing
Background in banking or regulated financial environments

🧠 Soft Skills

Strong problem-solving mindset
Ownership and accountability
Ability to work in distributed international teams
Proactive communication style
Technical leadership and mentoring ability

📍 Location Requirements
Remote from: Poland (STRICTLY Poland only — no relocation provided)

💬 Interested or know someone who fits?
Reach out directly:

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