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

About the Position

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

We are looking for an experienced Databricks Data Engineer with 5–10 years of overall data engineering experience, including strong hands-on expertise in Azure Databricks, PySpark, SQL, and Delta Lake. The candidate will be responsible for designing and developing scalable data pipelines and Lakehouse solutions. This role requires close collaboration with Data Architects, Business Analysts, Analytics teams, and business stakeholders to transform enterprise data into reliable and business-ready data products.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Databricks, PySpark, Python, SQL, and Delta Lake.
• Implement Bronze, Silver, and Gold Lakehouse data layers and reusable data-engineering frameworks.
• Develop complex ETL/ELT solutions involving SAP and other enterprise source systems.
• Ingest and transform data originating from SAP environments, applying appropriate business and transformation logic.
• Build data solutions supporting manufacturing business processes, reporting, and analytics.
• Implement batch and incremental data-loading patterns, schema evolution, historical data handling, and pipeline recovery.
• Develop and optimize complex Spark/PySpark workloads and SQL transformations for scalability and performance.
• Implement data-quality checks, validation, reconciliation, monitoring, and exception handling.
• Develop analytical and dimensional data models, including Fact/Dimension and Star Schema models.
• Follow engineering best practices for Git, CI/CD, automated deployment, coding standards, and documentation.
• Work with Data Architects and business stakeholders to translate technical and business requirements into scalable data solutions.
• Participate in design reviews, code reviews, and continuous improvement of Databricks engineering practices.

Requirements

• 5–10 years of experience in Data Engineering, Data Warehousing, or Data Platform development.
• Strong hands-on experience with Azure Databricks.
• Strong development skills in PySpark, Apache Spark, Python, and SQL.
• Good understanding of Delta Lake and Lakehouse architecture.
• Experience implementing Bronze, Silver, and Gold / Medallion architecture.
• Strong experience developing enterprise-scale ETL/ELT and data pipelines.
• Experience with data modeling, including Fact/Dimension models and Star Schemas.
• Understanding of data quality, governance, metadata, lineage, and security concepts.
• Experience with Git, CI/CD, and DevOps practices for data-engineering solutions.
• Strong troubleshooting, performance optimization, and problem-solving skills.
• Good communication skills and ability to work with globally distributed technical and business teams.

Nice to Have

• Experience working with SAP as a source system and good understanding of SAP data extraction/integration scenarios.
• Manufacturing industry/customer experience is required, with an understanding of data associated with manufacturing business processes.

Certifications

• Databricks Certified Data Engineer Associate preferred.
• Databricks Certified Data Engineer Professional would be a strong advantage.
• Microsoft Azure/Data Engineering certifications are an added advantage.
• Databricks AI Certification - Good to have.

We Offer

• Competitive salary
• Opportunity to work in a diverse and inclusive environment
• Professional development opportunities
• Collaborative and innovative workplace

About the Company

We are Tieto, a leading software and technology consulting company. We provide customers across different industries with mission-critical solutions through our specialized software businesses Tieto Caretech, Tieto Banktech, and Tieto Indtech, as well as Tieto Tech Consulting business. Our around 14,000 talented vertical software, design, cloud, and AI experts are dedicated to empowering our customers to succeed and innovate with the latest technology. Tieto’s annual revenue is approximately EUR 2 billion. The company’s shares are listed on the NASDAQ exchange in Helsinki and Stockholm, as well as on Oslo Børs.

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