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Middle/Senior Data Engineer (Databricks)

ItransitionIkona lokalizacjiGlobalnie

Żródlo publikacji: JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieMid / Regular
Dodano
Dodano20 lipca 2026
Wykryte przez nas
Wykryte przez nas21 lipca 2026
Zarobki
ZarobkiDo uzgodnienia

We're looking for a Data Engineer (Databricks) who will work closely with clients across various industries to design and implement scalable data solutions tailored to their business needs.

This role demands both technical expertise and soft skills, as you’ll be translating complex data requirements into actionable architectures and pipelines while engaging directly with stakeholders. 

Key Responsibilities:

  • Interact with client stakeholders to surface data requirements, audit existing systems, and architect scalable, future-proof solutions.

  • Design, build, and maintain production-grade ELT/ETL pipelines using modern data stack tools and frameworks.

  • Deploy and govern cloud-based data platforms on Azure and AWS, selecting the right approach for each engagement's unique constraints.

  • Champion data governance, security, and compliance standards.

  • Produce clear technical documentation and lead knowledge transfer sessions that genuinely enable client teams to operate independently.

  • Support project scoping, estimation, and reporting with delivery managers and consultants. 

Core Skills & Qualifications:

  • 3+ years of hands-on data engineering experience, ideally within a consulting or client-facing environment.

  • Hands-on experience with Databricks Lakehouse Platform.

  • Strong SQL skills and proficiency in Python.

  • Experience designing and deploying solutions in cloud environments (Azure preferred).

  • Ability to quickly grasp diverse business domains and adapt technical solutions accordingly.

  • Strong communication skills to interact with both technical and non-technical client stakeholders.

  • Experience working in agile, fast-paced project environments with shifting priorities.

 Nice to have:

  • Experience with Snowflake.

  • Databricks or Snowflake certifications (e.g., SnowPro Core, Databricks Certified Data Engineer).

  • Familiarity with BI tools such as Power BI, Tableau, or Looker.

  • Previous experience in sectors like finance, healthcare, retail, or manufacturing is a plus.

We offer:

  • Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota.

  • Competitive compensation that depends on your qualification and skills.

  • Career development system with clear skill qualifications.

  • Flexible working hours aligned to your schedule.

  • Options to work remotely.

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