Senior Data Engineer

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit   

We're looking for a skilled Senior Data Engineers 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.

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

What about languages?

Advanced English proficiency is required for effective communication with international teams and stakeholders.

How much experience must I have?

We are looking for candidates with 4+ years of experience in data engineering, or related roles, with demonstrated technical leadership experience.

Our perks and benefits:

Every day lunches (headquarters):

• Vegetarian, vegan, gluten and sugar free options.
• Gourmet meals every Friday with our on-site chef

Flexible working options to help you strike the right balance.

All the equipment you need to harness your talent (Macbook and accessories).

Snacks and beverages available everyday (headquarters).

After office events, football, tennis and game nights (headquarters).

Everyone is welcome to join our football league every Wednesday's and Friday's.

Challenge your teammates to a pool game and win the office's trophy Tennis courts available for friendly matches.

Not a sports person? Don't worry, we also have chess championships, game and music nights for you to join

Learning opportunities:

• AWS Certifications (we are AWS Partners).
• Study plans, courses and other certifications.
• English Lessons.
• Learn from your teammates on our Tech Tuesdays

Mentoring and Development opportunities to shape your career path.

Anniversary and birthday gifts.

Great location and even greater teammates

So what are the next steps?

Our team is eager to learn about you Send us your resume or LinkedIn profile below and we'll explore working together