Databricks Data Engineer

Technologies we use

Expected

• Python
• SQL
• PySpark
• Microsoft Azure
• Git
• Azure DevOps
• Azure Databricks
• Azure Data Factory

Optional

• Kafka
• Event Hub
• Microsoft Power BI
• Tableau

Operating system

• Windows

About the project

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

This is how we organize our work

This is how we work

• at the client's site
• you focus on a single project at a time
• you develop the code "from scratch"
• you focus on product development

Your responsibilities

• 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

Our requirements

• 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

Optional

• Streaming technologies (Kafka, Event Hub)
• Experience with Power BI / Tableau for data consumption
• Azure or Databricks certifications

What we offer

• Hybrid 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

This is how we work on a project

• issue tracking tools

Development opportunities we offer

• intracompany training
• mentoring
• substantive support from technological leaders
• technical knowledge exchange within the company

Benefits

• sharing the costs of sports activities
• private medical care
• life insurance
• remote work opportunities
• flexible working time
• integration events
• dental care
• no dress code

Recruitment stages

• Introductory HR call
• Technical interview
• Project Interview
• Final decision

Cyclad

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.

This is how we work