Senior Databricks Data Engineer

Optiveum; Warszawa; Remote; PLN 189,000 - 270,000; Full time

Job summary

Optiveum is seeking a Senior Databricks Data Engineer to join a technology organization delivering data-driven solutions. You will design and implement data processing on Databricks, build data pipelines with Python, and collaborate with architects to enforce best practices in cloud environments across AWS, Azure, and GCP.

The role is 100% remote for Poland, with a B2B contracting setup and a competitive rate. Strong English and Polish communication skills are required.

Qualifications

• Solid commercial experience in data engineering with hands-on Databricks expertise.
• Strong proficiency in Python for data processing and automation.
• Experience with at least one major cloud platform (AWS, Azure, or GCP).
• Excellent communication skills in English and Polish.

Responsibilities

• Designing and implementing data processing solutions using Databricks for large-scale datasets.
• Building and optimizing data pipelines with Python and cloud-native tools.
• Collaborating with solution architects to enforce data engineering best practices.
• Ensuring data quality, security, and scalability in cloud environments.

Skills

Databricks

Python

Cloud platforms

Communication skills

English-Polish

Tools

Terraform

Bicep

Kafka

PySpark

Snowflake

Synapse

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).