Databricks Data Engineer
In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking a skilled Data Engineer to join a high-performing team delivering modern data platforms and data-driven solutions for Financial Services and Investment Banking clients. The role focuses on building, integrating, and operating scalable data pipelines supporting analytics, risk, regulatory, and reporting use cases. The Data Engineer will work closely with Business Analysts, Architects, QA, and Platform teams to ensure high-quality, secure, and performant data solutions across cloud-based environments.
Project information:
Type of project: IT Services
Office location: Wrocław/ Poznań
Work model: Hybrid mode - 2 days per week in the office in Wrocław or Poznań
Budget: 120 - 130 PLN net/ h - b2b
Project length: till the end of 2026, possible to extend it
Only candidates with citizenship in the European Union and residence in Poland
Start date: ASAP
Project scope:
Design, develop, and maintain ETL/ELT data pipelines for structured and semi-structured data
Build and optimize data lakehouse solutions supporting analytics, reporting, and regulatory needs
Implement data ingestion from multiple sources (databases, APIs, files, messaging/ event streams)
Perform data transformation, validation, and quality checks across end-to-end data flows
Collaborate with Business Analysts and stakeholders to translate requirements into data solutions
Support production environments, handle incident analysis, and contribute to performance optimization
Ensure compliance with data governance, security, and regulatory standards
Competence demands:
5-6 YoE in Data Engineering with Databricks
Very strong Python, SQL, PySpark programming skills
Data Platforms: Databricks (Delta Lake, DLT), cloud data lakes / lakehouse architectures
Experience with Azure (ADLS, Data Factory, Synapse), or equivalent cloud services
Knowledge of Medallion architecture, dimensional models, Data Vault (nice to have)
REST APIs, batch and streaming ingestion
Git, CI/CD pipelines, Azure DevOps or similar
Strong understanding of data quality, performance tuning, and scalability
Exposure to banking, risk, regulatory reporting, or analytics platforms
Experience supporting data-intensive applications used for decision-making and compliance
Very good English skills
Nice to have:
Streaming technologies (Kafka, Event Hub)
Experience with Power BI / Tableau for data consumption
Azure or Databricks certifications
We offer:
Remote working model
Dynamic and innovation-driven engineering environment
Full-time job agreement based on b2b
Private medical care with dental care (covering 70% of costs)
Multisport card (also for an accompanying person)
Life insurance