
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.
🔥 0 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

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.
• 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
• 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
• Work remotely • Mentorship opportunities
Apply Now🕒 3 days ago
Data Engineer shaping data infrastructure at B2Spin, developing scalable data systems for personalized gaming experiences. Collaborating across teams for architecture decisions and data reliability.
Airflow
BigQuery
Docker
ETL
Google Cloud Platform
Kafka
Kubernetes
PySpark
Python
SQL
Terraform
🕒 3 days ago
Senior Data Engineer role at RecruityTalent focused on building ETL/ELT pipelines for clients in Bulgaria, EMEA, and LATAM. Responsibilities include optimizing data lakes and reporting tools for business strategy.
AWS
Distributed Systems
DynamoDB
ETL
Kafka
MongoDB
Python
Spark
SQL
Terraform
🕒 July 8
Senior Data Engineer building high-performance data infrastructure for regulatory reporting at DraftKings. Collaborating with cross-functional teams to enhance data quality and support business operations.
AWS
Cloud
ETL
Kafka
Python
SQL
Terraform
🕒 July 7
Senior Data Engineer building scalable data infrastructure for financial operations at DraftKings. Collaborating across teams to develop data solutions and enhance regulatory reporting capabilities.
AWS
Cloud
ETL
Kafka
Python
SQL
Terraform
🕒 July 3
Senior Data Engineer driving data engineering excellence at Apex Group. Building a modern data platform with cutting-edge technologies in a multi-cloud environment.
Amazon Redshift
AWS
Azure
Cloud
ETL
Java
Kafka
Neo4j
NoSQL
Python
RabbitMQ
Scala
SQL
SSIS