Databricks Data Engineer
⚲ Wrocław
20 160 - 21 840 PLN netto (B2B)
Wymagania
- Python
- PySpark
- Databricks
- SQL
- Microsoft Azure Cloud
- Azure Data Factory
- Apache Kafka
- Power BI
Opis stanowiska
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
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
🔍 Dekoder Ogłoszenia
🟡
boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future
To ogólne stwierdzenie marketingowe, które nie precyzuje konkretnych technologii ani wpływu projektu.
🔴
high‑performing team
Może oznaczać zespół z wysokimi oczekiwaniami co do wydajności i szybkości pracy, potencjalnie pod presją.
🟡
modern data platforms and data‑driven solutions
Jest to szerokie określenie, które może obejmować różnorodne technologie i podejścia, niekonkretne co do stosowanych narzędzi.
🔴
possible to extend it
Projekt może zostać przedłużony, ale nie ma gwarancji, co może oznaczać niepewność co do długoterminowego zatrudnienia.
🔴
ASAP
Oznacza pilne rozpoczęcie pracy, co może sugerować pośpiech w procesie rekrutacji i potencjalnie krótki czas na przygotowanie.