Lead / Senior Data Engineer

Full Time Lead / Senior Data Engineer

• Stockholm, Sweden
• 4–12 Years
• Onsite

About the Role Diggibyte is looking for an experienced Lead / Senior Data Engineer to design, build, and optimize modern data platforms that power business intelligence, analytics, and AI-driven solutions. The ideal candidate will have strong expertise in cloud-based data engineering, scalable ETL/ELT pipelines, and the Databricks Lakehouse Platform. If you are passionate about solving complex data challenges and delivering high-performance solutions, we’d love to hear from you. Key Responsibilities

• Lead the design, development, and maintenance of scalable data engineering solutions on the Databricks Lakehouse Platform.
• Develop, optimize, and maintain high-performance data pipelines using Python and PySpark.
• Build reliable data transformation workflows and analytical models using DBT.
• Design scalable ETL/ELT pipelines to process structured and unstructured data efficiently.
• Work extensively with Databricks, PySpark, and SQL to deliver robust data solutions.
• Leverage cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform (GCP) for modern data architectures.
• Implement data governance, metadata management, and security using Unity Catalog.
• Collaborate with data scientists, analysts, architects, and business teams to understand data requirements.
• Ensure data quality, performance optimization, and adherence to best engineering practices.
• Mentor junior engineers and contribute to technical leadership within the team.

Required Skills & Technologies

• Databricks Lakehouse Platform
• Python
• PySpark
• SQL
• DBT (Data Build Tool)
• AWS / Microsoft Azure / Google Cloud Platform
• Unity Catalog
• Data Warehousing & ETL/ELT
• Data Modeling
• Version Control (Git)

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
• 4–12 years of professional experience in Data Engineering.
• Strong understanding of cloud-native data platforms and distributed data processing.
• Experience with performance tuning and optimization of large-scale data pipelines.
• Excellent analytical, problem-solving, and communication skills.

Good to Have

• Databricks Certified Data Engineer Associate or Professional certification.
• Experience with Databricks Auto Loader.
• Knowledge of Delta Live Tables (DLT) or Lakeflow Declarative Pipelines.
• Exposure to CI/CD practices for data engineering projects.
• Familiarity with data governance and security best practices.

Why Join Diggibyte?

• Work on cutting-edge cloud and data engineering projects.
• Collaborate with experienced technology professionals.
• Opportunity to work with modern data platforms and AI-ready architectures.
• Continuous learning and professional development.
• Competitive salary and excellent career growth opportunities.
• Flexible and collaborative work environment