Senior Data Engineer

Empresa: Talan
Provincia: 100% En remoto
Población: 
Descripción: Company Description Talan - Positive Innovation Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions. Talan at a Glance Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we´ve built a strong presence in the IT and consulting landscape, and we´re on track to reach €1 billion in revenue this year. Our Core Areas of Expertise - Data and Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI. - Cloud and Application Services: We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency. - Management and Innovation Consulting: We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies. We work with major global clients across diverse sectors, including Transport and Logistics, Financial Services, Energy and Utilities, Retail, and Media and Telecommunications. Job Description We are looking for a skilled Data Engineer to help us build and scale our modern data platform. In this role, you will work closely under the guidance of our Central Platform Team to build our Databricks engineering framework, establish reusable development patterns, and advance our core codebase. If you are passionate about modern data engineering practices, AI-assisted development, and building scalable data solutions, we´d love to have you on the team. Qualifications - Proven experience as a Data Engineer or Data Platform Engineer working with Databricks. - Strong proficiency in PySpark, SQL, and Python within the Databricks ecosystem. - Hands-on experience with modern IDEs (VS Code) and version control workflows (Git / GitHub). - Familiarity or eager enthusiasm for using AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT for code). - Experience implementing design patterns, reusable frameworks, and data pipeline modularization. - Strong communication skills and the ability to work effectively in a collaborative, platform-guided environment. Nice to Have - Experience with Delta Lake, Unity Catalog, or Medallion Architecture (Bronze/Silver/Gold). - Exposure to CI/CD pipelines for data engineering (e.g., GitHub Actions, Azure DevOps). - Understanding of cloud platforms (AWS, Azure, or GCP). Additional Information - Work Location: 100% Remote. - Working Hours: Ability to work full-time within the Sp...
Tecnologías: PySpark, SQL, Python
Tipo de Contrato: Indefinido
Salario: Sin especificar
Experiencia: 3 años
Funciones: Big Data - Programador
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