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

 Posted 17 hours ago
     
5-10 years experience
Apply Now

Please mention DailyRemote when applying

AI Summary

Design and deliver end-to-end data platforms and scalable ETL/ELT pipelines for analytics, BI, and AI-ready products. Collaborate with stakeholders to implement lakehouse architectures while mentoring engineers and ensuring data quality and security standards.

Job Description

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

 

Key responsibilities 

  • 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 

 

Required experience & 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 

 

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 

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

Additional Information

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, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.

Diversity, equity and inclusion | Sustainability | Tieto

  • Remote Type: Remote
  • Job Area: Application and Product Development
  • Business Unit: Tech Consulting
  • Similar Jobs

    See all Remote Software Development jobs →

    Personalize your Remote Job Search in 3 Easy Steps!

    Discover remote opportunities in Data Engineer

    Answer easy questions

    Answer easy questions

    200,000+ jobs across 15+ categories

    Get your best job matches

    Get your best job matches

    Only hand-screened, legit jobs

    Find a remote job faster

    Find a remote job faster

    No ads, scams, or junk

    I was the first applicant for a remote marketing position that got listed on the company website the same day I applied. Had an interview within 48 hours!

    Sarah J. — Sarah J. · Marketing Manager ★★★★★ Verified