Senior Databricks Data Engineer

 Posted 2 days ago
     
5-10 years experience
Apply Now

Please mention DailyRemote when applying

?/100
Resume Match Score

Match your resume skills with our AI powered skill match!

Get professional review

AI Summary

Design and implement scalable data processing solutions using Databricks and Python for large-scale datasets. Collaborate with architects to build efficient data pipelines while ensuring data consistency, security, and scalability.

Senior Databricks Data Engineer

Location: Poland

Work Mode: 100% Remote

Rate: Up to 160 PLN/h net B2B

We are looking for a Senior Databricks Data Engineer to join our Client's thriving Insights & Data division—an expert team of over 400 professionals focused on delivering advanced data-driven solutions.

In this role, you will specialize in Cloud & Big Data engineering, helping to build scalable architectures for processing large and complex datasets across major cloud providers (AWS, Azure, or GCP). Working across the entire Software Development Life Cycle (SDLC), you will leverage modern data frameworks, programming methodologies, and DevOps best practices to create impactful and efficient solutions.

Your Tasks:
  • Design and implement data processing solutions using Databricks for large-scale and diverse datasets.

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

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

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

Your Profile:
  • Commercial experience in data engineering, with hands-on Databricks expertise.

  • Strong programming skills in Python for automation and data transformation.

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

  • Strong communication skills and proficiency in English.

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

Please note: We recruit for this position in cooperation with Ework, but Optiveum is the recruitment and contracting party. We sign the cooperation agreement directly with the chosen candidate.

Does this structure hit the exact mark for your Teamtailor career page? Let me know if you need any adjustments to the skills or responsibilities!

Similar Jobs

See all Remote Software Development jobs →

Personalize your Remote Job Search in 3 Easy Steps!

Discover remote opportunities in Data Engineer

Answer easy questions

Answer easy questions

200,000+ jobs across 15+ categories

Get your best job matches

Get your best job matches

Only hand-screened, legit jobs

Find a remote job faster

Find a remote job faster

No ads, scams, or junk

I was the first applicant for a remote marketing position that got listed on the company website the same day I applied. Had an interview within 48 hours!

Sarah J. — Sarah J. · Marketing Manager ★★★★★ Verified