Senior Data Engineer

Role Description

• 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

• At Tieto, we believe in the power of diversity, equity, and inclusion.
• We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team.
• Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.

Company Description

Tieto Tech Consulting (MentorMate from 2001 to 2026) provides design-led, data-centric, and AI-powered digital engineering & consulting services to enterprises worldwide.