[Hiring] Senior Data Engineer @Tieto

Role Description

Tieto Tech Consulting provides design-led, data-centric, and AI-powered digital engineering & consulting services to enterprises worldwide.

• 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
• Apply data quality, governance and security standards across the platform
• Mentor engineers and share knowledge across the team
• Lead or contribute to technical design discussions and influence architecture decisions for data platform solutions

Qualifications

• 5+ years’ experience in data engineering or similar roles
• Strong hands-on experience with Spark/PySpark, SQL, Python and Databricks or similar platforms
• 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

Requirements

• 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
• Industries like financial services/banking, healthcare, manufacturing or retail

Benefits

• Commitment to diversity, equity, and inclusion
• Encouragement of applicants from all backgrounds, genders (m/f/d), and walks of life
• Focus on creating an inspiring workplace that fuels innovation