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Were looking for a skilled Data Engineer Manager with strong experience in Snowflake and Python to help design and implement an end-to-end data architecture for a leading enterprise clients marketing team. This role is part of a strategic initiative to enable robust analytics and insight generation for marketing and martech use cases.
In this role youll work closely with both Blends internal teams and client stakeholders to build and optimize data pipelines support data modeling efforts and ensure reliable data flows for reporting analytics and operational workflows.
This position is ideal for engineers with a strong data foundation who are looking to apply their skills in analytics BI and marketing tech environments while gaining exposure to modern data tools and scalable architectures.
You will:
Design and implement an end-to-end data solution architecture tailored to marketing analytics and martech needs.
Build maintain and optimize data pipelines and transformations using Python and Snowflake.
Support analytics and BI teams by ensuring clean reliable and well-modeled data.
Leverage tools like Fivetran and dbt (if available) to orchestrate ELT processes.
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 :
Qualifications
6 years of experience in data engineering.
Proficiency in Python for data workflows and pipeline development.
Strong experience working with Snowflake or similar cloud data platforms.
Experience (or familiarity) with marketing data martech tools or marketing analytics use cases.
Understanding of analytics/BI environments and how data supports decision-making.
Exposure to tools like dbt and Fivetran is a plus.
Familiarity with cloud platforms like AWS GCP or Azure.
Strong communication and documentation skills.
Ability to thrive in collaborative client-facing environments.
Preferred Qualifications
Hands-on experience with dbt Fivetran or similar modern data stack tools.
Familiarity with CI/CD pipelines or infrastructure-as-code practices.
Experience in client services consultancy or agency settings.
Language Requirements
You must have excellent written and verbal English communication skills.
Additional Information :
Our Perks and Benefits:
Learning Opportunities:
Mentoring and Development:
Career development plans and mentorship programs to help shape your path.
Celebrations & Support:
Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location please consult with one of our recruiters.
Remote Work :
Yes
Employment Type :
Full-time
Remote