Data Engineer – Databricks

Job not on LinkedIn

🔥 1 hour ago

🇵🇱 Poland – Remote

💵 zł22k - zł30k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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The Codest

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

The Codest is an international software development company with its headquarters in the United Kingdom and tech hubs in Poland. Specializing in building IT teams and digital services, The Codest provides high-quality software development solutions for enterprises, scale-ups, and software vendors. They focus on supplying experienced senior developers in areas such as backend and frontend development, cloud engineering, and data engineering. Known for their expertise in project development and staff augmentation, The Codest helps companies enhance their IT departments by offering top-notch developers. The company is dedicated to providing innovative solutions and supporting digital transformation for its clients across various sectors including fintech, e-commerce, and adtech.

📋 Description

• Design, build, and manage scalable data solutions and pipelines using Databricks • Work closely with cross-functional teams to ensure data is reliable, accessible, and efficient for analytics and business intelligence • Apply Medallion Architecture using Bronze, Silver, and Gold lakehouse layers • Build data quality frameworks with automated testing and monitoring • Implement Delta Lake features including time travel, vacuum operations, and Z-ordering • Develop and maintain complex ETL/ELT pipelines processing large-scale datasets daily • Design and implement CI/CD workflows for data pipelines using Databricks Asset Bundles or equivalent tools • Create real-time and batch data processing solutions with Structured Streaming and Delta Live Tables • Optimize Spark jobs for cost efficiency and performance using cluster auto-scaling and resource management • Develop custom integrations with Databricks APIs and external systems • Design scalable data architectures using Unity Catalog, Delta Lake, and Apache Spark • Establish data mesh architectures with governance and lineage tracking • Contribute to a customer-facing banking app for a leading financial group in Japan

🎯 Requirements

• 6+ years of experience in data engineering • Strong track record of designing and deploying production-grade data pipelines and ETL/ELT workflows • Proficiency in Python, PySpark, and SQL • Extensive hands-on experience with AWS Glue, Lambda, Redshift, and S3 • Strong background in data governance and management tools, including Unity Catalog and AWS Sagemaker Unified Studio • Proven experience in data migration initiatives and modernizing legacy systems • Communicative English language skills • Databricks Certified Professional Data Engineer or equivalent certification is a plus • Experience with containerization and orchestration tools such as Docker and Kubernetes is an advantage

🏖️ Benefits

• Enriching and collaborative environment • Growth opportunities • Opportunity to contribute to an international banking app project • Remote work