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
• 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:

• 3-5 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