Senior Data Engineer

As a Senior Data Engineer at Emergn you will help us shape Emergn’s exciting future and play an important role in our growth.

We want you to

• Full proficiency in Microsoft SQL Server and T‑SQL: stored procedures, views, and user‑defined functions (mandatory).
• Full proficiency in Power BI (mandatory).
• Experience in creating reports using SQL Server Reporting Services (SSRS). If the candidate lacks this skill but excels in the previous two, we can provide training on SSRS.
• Design, build, and maintain scalable data pipelines and workflows using Microsoft Fabric, including Data Factory, Lakehouse, and Synapse Pipelines.
• Use Apache Spark in Microsoft Fabric Notebooks for large‑scale data processing, cleansing, and transformation tasks.
• Develop efficient SQL‑based solutions for data modeling, data warehousing, and analytics layers.
• Leverage Python and Py Spark to automate data flows, integrate sources, and apply advanced data logic.
• Collaborate with analysts, engineers, and stakeholders to deliver clean, trustworthy datasets to reporting and ML pipelines.
• Assist in establishing data quality, data lineage, and governance processes across the data stack.
• Act as a subject matter expert on data workflows within the Microsoft ecosystem, helping to guide best practices across teams.

This job might be for you if you have

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• Hands‑on experience with Microsoft Fabric components including Spark Notebooks, Data Factory, and Synapse.
• Strong understanding of Apache Spark (especially via Py Spark) for distributed data processing.
• Proficiency in SQL for data manipulation and optimization.
• Solid Python skills for scripting, automation, and transformation logic.
• Experience with cloud‑native data solutions—preferably on Microsoft Azure.
• Understanding of data warehouse design, dimensional modeling, and Lakehouse patterns.
• Familiarity with CI/CD and version control tools (e. g., Git, Azure Dev Ops).
• Excellent communication and stakeholder collaboration skills.

Nice to Have

• Familiarity with One Lake architecture and Delta Lake implementation in Fabric.
• Knowledge of Power BI data modeling and how backend data impacts reports.
• Experience with streaming data ingestion (e. g., Azure Event Hubs, Kafka, Fabric Real‑Time Analytics).
• Exposure to notebook‑based development workflows in Jupyter or Databricks.
• Awareness of data privacy, security best practices, and compliance (e. g., GDPR, DLP tools).
• Previous experience with other Spark platforms like Databricks or HDInsight is a plus.

What we offer

• Salary 4750 – 5000 EUR gross/month.
• Work within a dynamic international team of experts Excellent opportunity for personal and professional development .
• Flexible work model and the freedom to choose the tools that suit you best – Mac or Window.
• Ability to work with modern technologies.
• Extensive catalogue of educational programs, the possibility of training and certification at the expense of the company.
• 20 working days of vacation per year.
• Life and disability insurance.
• Health insurance.
• Big free parking.
• Birthday gift.
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