Senior Data Engineer - Tieto Tech Consulting (m/f/d)

Навыки

• AI-инструменты в работе
• AWS
• Azure
• BI-инструменты
• CI/CD
• Коммуникация
• Data Governance

О компании и продукте

• With a strong heritage of Nordic quality, local presence, and global-scale operations, we are backed by 8,500+ IT professionals
• We are part of Tieto, a leading technology company with an annual revenue of approximately EUR 2bn. Tieto Tech Consulting’s team in Bulgaria consists of 500+ professionals specializing in the development of tailored digital solutions in diverse industries

Задачи

• Design and deliver end-to-end data platforms for analytics, BI, machine learning and AI-ready data products
• Build and optimise scalable ETL/ELT pipelines with Databricks, Spark/PySpark, SQL and Python
• Own data processing logic, transformations and platform performance for reliable, scalable solutions
• Design lakehouse architectures such as Medallion and Delta Lake aligned with business needs
• Improve pipelines, development practices and delivery processes
• Collaborate with architects, analysts and stakeholders to turn requirements into effective solutions
• Mentor engineers and share knowledge across the team
• Lead or contribute to technical design discussions and influence architecture decisions for data platform solutions
• Required experience & qualifications
• Experience building ETL/ELT pipelines and data warehouse or lakehouse architectures
• Solid understanding of data modelling, warehousing and batch or real-time processing
• Experience with cloud platforms (Azure or AWS) and modern data platforms
• Experience applying data governance, security, quality, lineage and lifecycle practices
• Experience with orchestration, CI/CD, automated deployments or Infrastructure as Code
• Experience building production-grade, observable and scalable data pipelines
• Ability to work independently on complex, large-scale projects
• Strong communication skills across technical and business audiences
• A significant advantage would be
• Experience with data platform modernisation, cloud migration or AI/analytics use cases
• Experience preparing datasets for machine learning, GenAI or advanced analytics
• Experience with Kafka, Spark Structured Streaming, Delta Lake or Unity Catalog
• Familiarity with Microsoft Fabric, Snowflake, Azure Synapse or AWS Redshift
• Relevant Databricks, Azure or AWS certifications

Требования

• Our clients trust us for advanced data and analytics skills, top industry-specific expertise, specialized software R&D, and the capabilities of a multinational team
• 5+ years’ experience in data engineering or similar roles
• Strong hands-on experience with Spark/PySpark, SQL, Python and Databricks or similar platforms

Паспорт вакансии

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