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 ServicesOffice location: Wrocław/ PoznańWork model: Hybrid mode – 2 days per week in the office in Wrocław or PoznańBudget: 120 - 130 PLN net/ h - b2bProject length: till the end of 2026, possible to extend itOnly candidates with citizenship in the European Union and residence in PolandStart date: ASAPProject scope:Design, develop, and maintain ETL/ELT data pipelines for structured and semi‑structured dataBuild and optimize data lakehouse solutions supporting analytics, reporting, and regulatory needsImplement data ingestion from multiple sources (databases, APIs, files, messaging/ event streams)Perform data transformation, validation, and quality checks across end‑to‑end data flowsCollaborate with Business Analysts and stakeholders to translate requirements into data solutionsSupport production environments, handle incident analysis, and contribute to performance optimizationEnsure compliance with data governance, security, and regulatory standardsCompetence demands:3-5 YoE in Data Engineering with DatabricksVery strong Python, SQL, PySpark programming skillsData Platforms: Databricks (Delta Lake, DLT), cloud data lakes / lakehouse architecturesExperience with Azure (ADLS, Data Factory, Synapse), or equivalent cloud servicesKnowledge of Medallion architecture, dimensional models, Data Vault (nice to have)REST APIs, batch and streaming ingestionGit, CI/CD pipelines, Azure DevOps or similarStrong understanding of data quality, performance tuning, and scalabilityExposure to banking, risk, regulatory reporting, or analytics platformsExperience supporting data‑intensive applications used for decision‑making and complianceVery good English skillsNice to have:Streaming technologies (Kafka, Event Hub)Experience with Power BI / Tableau for data consumptionAzure or Databricks certificationsWe offer:Remote working modelDynamic and innovation-driven engineering environmentFull-time job agreement based on b2bPrivate medical care with dental care (covering 70% of costs)Multisport card (also for an accompanying person)Life insurance