
10,000+ employees
đź Consulting
âď¸ SaaS
đ¤ 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 â including banking (Tieto Banktech), healthcare (Tieto Caretech), industrial/manufacturing (Tieto Indtech), telecom, public sector, energy and paper and fibre â and emphasizes AI, cloud and digital transformation for enterprise customers.
đĽ 1 hour ago
đşđŚ Ukraine â Remote
â° Full Time
đĄ Mid-level
đ Senior
đ° Data Engineer
đť Ghost score 10%
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10,000+ employees
đź Consulting
âď¸ SaaS
đ¤ 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 â including banking (Tieto Banktech), healthcare (Tieto Caretech), industrial/manufacturing (Tieto Indtech), telecom, public sector, energy and paper and fibre â and emphasizes AI, cloud and digital transformation for enterprise customers.
⢠Design and architect data solutions for multi-source system integration ⢠Create scalable datasets to support analytics and reporting platforms ⢠Gather business requirements and translate them into technical solutions and specifications ⢠Design data models, ETL/ELT processes, data warehouse, and data lake solutions ⢠Ensure scalability, performance, data quality, and validation of data solutions ⢠Collaborate with business analysts, developers, DBAs, and other stakeholders ⢠Communicate complex data concepts clearly to non-technical stakeholders ⢠Support backend development when required ⢠Document technical solutions and share knowledge within the team ⢠Join a Data & Analytics project in the agricultural industry ⢠Work with Azure data services and integrate data from multiple sources
⢠4+ years of experience in data architecture, data engineering, or similar roles ⢠3+ years of experience working with Azure data platform services ⢠Strong hands-on experience with Azure SQL Database, including schema design, query optimization, and indexing ⢠Strong experience with Azure Data Factory (ADF), including pipeline design, triggers, linked services, and data flows ⢠Experience with Azure Data Lake Storage (ADLS Gen2) and Azure Storage ⢠Experience with Azure Logic Apps ⢠Hands-on experience with Azure Databricks, Spark SQL, PySpark, and Delta Lake ⢠Strong knowledge of data modeling, including dimensional modeling and star schema ⢠Good understanding of ETL/ELT design patterns and data warehouse/data lake architecture ⢠Advanced SQL skills, including complex joins, CTEs, query performance tuning, and execution plan analysis ⢠Experience with multi-source data integration, APIs, data quality, validation, and error-handling approaches ⢠Understanding of CI/CD, version control (Git), Infrastructure as Code, and Azure security concepts ⢠Strong communication and stakeholder management skills, with the ability to translate technical concepts into business language ⢠Strong analytical and problem-solving skills ⢠Ability to gather and analyze requirements and work effectively in cross-functional teams ⢠English proficiency at Upper-Intermediate level or higher ⢠Background checks required for all final candidates ⢠Will be an advantage: Good understanding of Power BI and data requirements for dashboards ⢠Will be an advantage: Knowledge of reporting concepts, metrics, KPIs, and business intelligence ⢠Will be an advantage: Experience with Azure DevOps ⢠Will be an advantage: Experience with Azure Resource Manager (ARM) templates or other Infrastructure as Code approaches ⢠Will be an advantage: Knowledge of RBAC, Key Vaults, and cloud security/access management ⢠Will be an advantage: Previous experience or understanding of the agriculture/agribusiness domain ⢠Will be an advantage: Experience mentoring colleagues and sharing technical knowledge ⢠Will be an advantage: Understanding of Agile methodologies
⢠Professional growth ⢠Meaningful projects ⢠Open culture ⢠Outstanding work-life balance ⢠Flexible hybrid work model ⢠Opportunities to create the future of a growing, fast-developing, and important sector ⢠Learning and development culture focused on curiosity and continuous relearning
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