Senior Data Engineer – Tieto Tech Consulting

🕒 July 27

🇧🇬 Bulgaria – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 23%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Tieto

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

☁️ SaaS

🤖 Artificial Intelligence

Consulting • SaaS • Artificial Intelligence

Tieto is a Nordic IT services and software company that helps organizations turn ideas into results by providing AI and data solutions, software products, cloud and software development, and design and consulting services. It serves multiple verticals — including banking (Tieto Banktech), healthcare (Tieto Caretech), industrial/manufacturing (Tieto Indtech), telecom, public sector, energy and paper and fibre — and emphasizes AI, cloud and digital transformation for enterprise customers.

📋 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

🎯 Requirements

• 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 • Strong communication skills across technical and business audiences

🏖️ Benefits

• Work remotely • Mentorship opportunities