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Senior Databricks Data Engineer

Role overview

Qualifications

  • Solid commercial experience in data engineering
  • Hands-on Databricks expertise
  • Strong proficiency in Python for automation and data transformation
  • Commercial experience with at least one major cloud platform (AWS, Azure, or GCP)

Responsibilities

  • Designing and implementing data processing solutions using Databricks for large-scale and diverse datasets
  • Designing, building, and enhancing data pipelines with Python and cloud-native tools
  • Working closely with solution architects to define and uphold best practices in data engineering
  • Ensuring data consistency, security, and scalability within cloud-based environments

Key facts

Hard skills

Other skills

  • Communication

About the company

Optiveum logo

Optiveum

Human Resources Services

Based on our own over 20 years of international experience in the field of IT recruitment and outsourcing, training, labor law, process optimization and consulting , we help companies that plan to develop operations in Poland and Central and Eastern Europe. We support companies (IT and other Tech Industries; including startups) to come and grow in Poland/ Central Europe by building up teams (mainly IT & Sales); go-to-market strategies; sales outsourcing; legal advice. Contact us to learn how we can help you enter and thrive in Central Europe: info (at) optiveum.com

Company details

Company typeStartup
IndustryHuman Resources Services
Company size2 - 10

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Job description

Senior Databricks Data Engineer

Location: 100% Remote (Poland)

Rate: up to 38 EUR + VAT (B2B) Work model: B2B Contract Contracting Party: Optiveum

Optiveum is currently looking for a Senior Databricks Data Engineer to join the team of our client—a thriving technology organization with over 400 professionals dedicated to delivering advanced, data-driven solutions.

In this role, you will be part of a team whose expertise lies in Cloud & Big Data engineering. You will help build scalable architectures for processing large and complex datasets across AWS, Azure, and GCP while leveraging modern data frameworks, programming methodologies, and DevOps best practices.

Please note: Optiveum acts as the recruitment partner and the direct contracting party for this position.

Your Tasks:

  • Designing and implementing data processing solutions using Databricks for large-scale and diverse datasets.

  • Designing, building, and enhancing data pipelines with Python and cloud-native tools.

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

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

Your Profile:

  • Solid commercial experience in data engineering, coupled with hands-on Databricks expertise.

  • Strong proficiency in Python for automation and data transformation.

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

  • Strong communication skills.

  • Advanced command of both English and Polish.

Nice-to-Have:

  • Solid understanding of SQL, including 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 industry certifications (e.g., Databricks Certified Data Engineer Associate or cloud-based data certifications).

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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