Senior Data Engineer (Remote, Data Engineering)

Job summary

The role involves taking ownership of critical data products on an Azure Databricks-based platform, collaborating with product teams to enhance solution quality and establish standards for data products used in analytics and AI.

Qualifications

• Over 5 years of experience in data engineering or software engineering with a strong focus on data.
• Strong hands-on experience with Azure Databricks and Spark in production environments.
• Proficient in SQL and experienced in working with analytical data models and data warehouses.
• Proficiency in Python; Scala is a plus.
• Relevant education in Computer Science, Mathematics, Economics, Information Management, Statistics, or similar.
• Fluent in English with strong communication skills.

Responsibilities

• Design scalable, efficient, and stable data products in collaboration with product teams.
• Act as a senior advisor to product managers and lead data engineers.
• Take technical ownership of complex, business-critical data products.
• Create and maintain high-quality data pipeline architecture.
• Ingest large, complex data sets and automate manual processes.
• Improve data quality, observability, and reliability across data products.
• Mentor junior data engineers and contribute to best practices.

Skills

• Strong engineering discipline, including CI/CD, testing, Git, and modern DevOps practices.
• Experience with streaming technologies, particularly Kafka.
• Familiarity with Azure Synapse and hybrid architectures.
• Agile mindset with experience in Scrum-based teams.

Tools

• Azure Databricks, Spark, SQL, Python, Kafka, Azure Synapse.