Databricks Engineer

Hello World!

We are The Codest - International Tech Software Company with tech hubs in Poland delivering global IT solutions and projects. Our core values lie in Customers and People First approach that prioritises the needs of our customers and a collaborative environment for our employees enabling us to deliver exceptional products and services.

Our expertise centers on web development cloud engineering DevOps and quality. After many years of developing our own product - Yieldbird which was honored as a laureate of the prestigious Top25 Deloitte awards we arrived at our mission: to help tech companies build impactful product and scale their IT teams through boosting IT delivery performance. Through our extensive experience with product development challenges we have become experts in building digital products and scaling IT teams.

But our journey does not end here - we want to continue our growth. If youre goal-driven and looking for new opportunities join our team! What awaits you is an enriching and collaborative environment that fosters your growth at every step.

We are currently looking for:

DATABRICKS ENGINEER

Here you will have an opportunity to contribute to a banking app for one of the leading financial groups in Japan. The platform is equipped with bank modules and data management features and it is customer-facing as well. We are seeking an experienced Databricks Engineer to design build and manage scalable data solutions and pipelines using Databricks. Youll work closely with cross-functional teams to ensure data is reliable accessible and efficient to power analytics and business intelligence initiatives.

Your Responsibilities:

• Architect medallion architecture (Bronze Silver Gold) lakehouses with optimized performance patterns

• Build strong data quality frameworks with automated testing and monitoring

• Implement advanced Delta Lake features such as 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 leveraging 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

Key Requirements:

• 10 years of experience in data engineering with a strong track record of designing and deploying production-grade data pipelines and ETL/ELT workflows

• Databricks Certified Professional Data Engineer (or equivalent certification)

• Proficiency in Python PySpark and SQL

• Extensive hands-on experience with AWS services such as Glue Lambda Redshift and S3

• Solid background in data governance and management tools including platforms like Unity Catalog and AWS Sagemaker Unified Studio

• Proven experience in data migration initiatives and modernizing legacy systems

• Communicative English language skills (the project is in an international team)
  

Nice to have:

• Excellent communication and teamwork skills

• Strong analytical thinking and problem-solving ability

• Experience with containerization and orchestration tools (e.g. Docker Kubernetes) is considered an advantage
  

Our Promise (what you can expect from us):

• PLN on B2B contract

• 100% remote work (but we have offices in Krakow and Warsaw and were happy to meet there from time to time )

• 300 PLN to use on our benefits platform Worksmile - gift cards medical services sports etc.

• Our B2B contract contains provisions that allow you to obtain IP BOX support

• Integration events education opportunities and much more

• A unique opportunity to take your career to the next level - were looking for people who want to create an impact. You have ideas we want to hear them!
  

Recruitment process:

• 30 minute screening call online with our recruiter

• 45min-1h technical call with one of our engineers

• 1h call with the team leader

• Offer

Questions insights Feel free to reach out to our recruiting team:

In the meantime feel free to visit our website where you can find key facts about us.