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JobbörseOffen

Databricks Data Engineer

Ework Group Poland · Gdansk, Poland; Wroclaw, Poland; Cracow, Poland; Poznan, Poland; Warsaw, Poland · Remote · Senior

  • Gdansk, Poland; Wroclaw, Poland; Cracow, Poland; Poznan, Poland; Warsaw, Poland · Remote

Indexiert (heute) · laufend aktualisiert

Budget
165 zł / h
Start
1 December 2026
Arbeitsmodell
Remote
Vertrag
Freelance / B2B
Erfahrungslevel
Senior
Referenz
JR-56001

Geforderte Skills

Jobbeschreibung

Project overview

🔹 For our Client we are looking for Databricks Data Engineer🔹

Possible location in Poland : 100% remote with occasional visits in one of the offices located in: Poznań, Wrocław, Gdańsk, Warszawa, Kraków

✔️About Insights and Data

Insights & Data is a thriving team of over 400 professionals focused on delivering advanced data-driven solutions. Our expertise lies in Cloud & Big Data engineering, where we build scalable architectures for processing large and complex datasets across AWS, Azure, and GCP. We manage the entire Software Development Life Cycle (SDLC), leveraging modern data frameworks, programming methodologies, and DevOps best practices to create impactful and efficient solutions.

Responsibilities

Design and implement data processing solutions using Databricks for large-scale and diverse datasets.

Design, build, and enhance data pipelines with Python and cloud-native tools.

Work closely with solution architects to define and uphold best practices in data engineering.

Ensure data consistency, security, and scalability within cloud-based environments.

Requirements

Experience in data engineering, with hands-on Databricks expertise.

Strong experience in Python for automation and data transformation.

Experience working with at least one major cloud platform (AWS, Azure, or GCP).

Strong communication skills and strong English language skills.

Nice to have

Solid understanding of SQL with experience in query optimization and data modeling.

Familiarity with DevOps methodologies, CI/CD pipelines, and Infrastructure as Code (Terraform, Bicep).

Experience with real-time data streaming technologies such as Kafka or Spark Streaming.

Knowledge of cloud storage solutions like Data Lake, Snowflake, or Synapse.

Hands-on experience with PySpark for distributed data processing.

Relevant certifications such as Databricks Certified Data Engineer Associate or cloud-based data certifications.

Do you know someone who would fit this position? Recommend a candidate by sending her/his CV to: [contact removed]

Client Code: MM03

Whistleblowing Policy, which provides guidelines for reporting misconduct can be found on Ework website: https://www.eworkgroup.com/about-us/our-responsibility

Project details

  • Start: 2026-12-01
  • Remote: remote
  • Location: Gdansk, Poland; Wroclaw, Poland; Cracow, Poland; Poznan, Poland; Warsaw, Poland, PL
  • Rate: 165-165 EUR/h

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