Senior Data Engineer

Job highlights

• We re looking for a skilled Senior Data Engineer with strong experience in distributed systems,Python / Scala,and modern data engineering tools to help design and implement an end-to-end data architecture for a leading enterprise client

Job Description

We re looking for a skilled Senior Data Engineer with strong experience in distributed systems, Python/Scala, and modern data engineering tools to help design and implement an end-to-end data architecture for a leading enterprise client. This role is part of a strategic initiative to enable robust analytics, BI, and operational workflows across both on-premise and cloud environments.

In this role, you ll work closely with both Blend s internal teams and client stakeholders to build and optimize data pipelines, support data modeling efforts, and ensure reliable data flows for analytics, reporting, and business decision-making.

This position is ideal for engineers with a strong data foundation who are looking to apply their skills in large-scale, modern data environments, while gaining exposure to advanced architectures and tooling.

You will:

• Design and implement an end-to-end data solution architecture tailored to enterprise analytics and operational needs.

• Build, maintain, and optimize data pipelines and transformations using Python, SQL, and Spark.

• Manage large-scale data storage and processing with Iceberg, Hadoop, and HDFS.

• Develop and maintain dbt models to ensure clean, reliable, and well-structured data.

• Implement robust data ingestion processes, integrating with third-party APIs and on-premise systems.

• Collaborate with cross-functional teams to align on business goals and technical requirements.

• Contribute to documentation and continuously improve engineering and data quality processes. Qualifications

• 4+ years of experience in data engineering, including at least 1 year with on-premise systems.

• Proficiency in Python for data workflows and pipeline development.

• Strong experience with SQL, Spark, Iceberg, Hadoop, HDFS, and dbt.

• Familiarity with third-party APIs and data ingestion processes.

• Excellent communication skills, with the ability to work independently and engage effectively with both technical and non-technical stakeholders.

• Master s degree in Data Science or a related field.

• Experience with Airflow or other orchestration tools.

• Hands-on experience with Cursor, Copilot, or similar AI-powered developer tools.

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