Senior Data Engineer

Sigma Software is seeking an experienced Data Engineer to join our growing team.

If you thrive on solving complex problems with advanced cloud-based data collection, transformation, analysis, and monitoring tools, this opportunity is for you!

Teamwork is one of our core values, so we would like to welcome specialists who excel in collaboration, contribute to a positive and friendly atmosphere, and are passionate about their work.

REQUIREMENTS

• At least 5 years of experience in data engineering and with cloud computing services solutions in the area of data and analytics, Azure is preferred one.
• Conceptual knowledge of data analytic fundamentals, e.g., dimensional modeling, ETL, reporting tools, data governance, data warehousing, and structured and unstructured data
• Knowledge of SQL and experience with at least one programming language (Python)
• Excellent communication skills and business fluency in English
• Understanding Big Data DB like Snowflake, BigQuery, etc
• Experience in database development and data modeling, ideally with Databricks/Spark
• Experience in the pre sales activities
• Excellent interpersonal skills
• Strong problem-solving and decision-making abilities, with a focus on driving results and meeting deadlines
• Strong passion for learning/practicing new techniques

Would be a plus:

• A subject matter expert in a specific domain: Logistics, Aviation, or Sustainability
• Experience with Infra as code (Terraform or similar)
• Good communication skills in German
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RESPONSIBILITIES

• Work closely with clients and other stakeholders to clarify the tech requirements and expectations
• Implement architectures based on Azure Cloud platforms (Data Factory, Databricks, etc.)
• Design, develop, optimize, and maintain squad-specific data architecture and pipelines that adhere to defined ETL and Data Lake principles
• Discover, understand, and organize disparate data sources and structure them into clean data models with clear and understandable schemas
• Contribute to the evaluation of new tools for analytical data engineering
• Participate in evaluating and preparing proposals for new opportunities
• Suggest and contribute to training and improvement plans regarding analytical data engineering skills, standards, and processes