
1001 - 5000 employees
Founded 2003
💼 Consulting
🏢 Enterprise
☁️ SaaS
💰 Secondary Market on 2020-07
Consulting • Enterprise • SaaS
Talan is a global company specializing in supporting organizations through positive innovation and transformation. With a presence in 18 countries across 5 continents, Talan offers a diverse range of solutions that enhance decision-making, integrate technology into business strategies, and reinvent business models for resilience and operational excellence. Talan excels in data management and governance, AI-powered solutions, cybersecurity, and cloud platforms. By partnering with leading technology providers like Microsoft, SAP, Oracle, and Salesforce, Talan aims to democratize data use and drive low-carbon transitions. The company also focuses on industries such as energy, transport, financial services, and more, providing insights and solutions tailored to the specific needs of these sectors.
🕒 July 10
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1001 - 5000 employees
Founded 2003
💼 Consulting
🏢 Enterprise
☁️ SaaS
💰 Secondary Market on 2020-07
Consulting • Enterprise • SaaS
Talan is a global company specializing in supporting organizations through positive innovation and transformation. With a presence in 18 countries across 5 continents, Talan offers a diverse range of solutions that enhance decision-making, integrate technology into business strategies, and reinvent business models for resilience and operational excellence. Talan excels in data management and governance, AI-powered solutions, cybersecurity, and cloud platforms. By partnering with leading technology providers like Microsoft, SAP, Oracle, and Salesforce, Talan aims to democratize data use and drive low-carbon transitions. The company also focuses on industries such as energy, transport, financial services, and more, providing insights and solutions tailored to the specific needs of these sectors.
• Design, develop, and optimize scalable Big Data solutions using Apache Spark. • Lead technical decisions and contribute to the architecture of data processing solutions. • Develop, maintain, and optimize Big Data pipelines. • Support data integration initiatives across multiple systems and workstreams. • Ensure the performance, scalability, and reliability of data processing applications. • Troubleshoot and resolve complex technical and performance issues. • Collaborate with technical and functional stakeholders to define and implement solutions. • Promote Agile development practices and contribute to CI/CD and DevOps processes. • Mentor and support junior and mid-level developers, sharing best practices and technical knowledge. • Explore and promote the adoption of emerging technologies, including AI-assisted development and automation.
• 5+ years of hands-on experience developing Big Data solutions with Apache Spark. • Strong experience programming in Scala (preferred) or Python. • Solid SQL skills and experience with data modeling. • Experience working with Big Data platforms such as: Azure Databricks, Apache Hive or similar Spark-based environments. • Experience working in Agile environments and applying CI/CD and DevOps best practices. • Hands-on experience with: Git, GitHub, SonarQube, Nexus. • Strong analytical and problem-solving skills. • Proactive mindset with the ability to work independently and take ownership of technical solutions. • Experience mentoring and supporting other team members. • English level B2+ or above.
• Permanent, full-time contract with career development opportunities. • Chance to work in a challenging, multicultural environment with international projects. • Exposure to large-scale financial IT systems and cross-country operations. • Training opportunities to develop new skills in finance, technology, and data management.
Apply Now🕒 July 8
Backend Developer focusing on Node.js and TypeScript for fintech projects. Join a remote team working with innovative financial solutions in a collaborative environment.
🇪🇸 Spain – Remote
💵 €28k / year
💰 Non Equity Assistance - Coinscrap Finance on 2022-07
⏰ Full Time
🟡 Mid-level
🟠 Senior
🔙 Backend Engineer
🗣️🇪🇸 Spanish Required
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🗣️🇩🇪 German Required
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