Data Engineer Lead

Job Description

As a Data Engineer Lead, you will: - Co-develop batch and streaming pipelines, semantic models, and transformations on Databricks (Python/Spark). - Define and maintain data contracts, quality rules, and data SLOs for each data product. - Guide domain teams on data modeling and data product boundaries (what belongs to which product/domain). - Train, mentor and pair with domain engineers/analysts on data product ownership and good engineering practices. - Capture feedback and best practices from domains and feeds improvements back into platform templates, tooling, and patterns. We are seeking a skilled Data Engineer Lead to drive our data initiatives. The ideal candidate will have experience in building and optimizing data pipelines, defining data quality standards, and mentoring other engineers.

Qualifications

To succeed in this role, you should have: 1. Experience in Data Engineering, including building and optimizing data pipelines. 2. Experience working with Databricks, Python, and Spark, building batch and streaming. 3. English Advanced Level. 4. Familiarity with a BI visualization tool like Looker or Tableau. We need a data engineer with strong expertise in data pipelines and related technologies such as Databricks, Python, and Spark.

Benefits

Our benefits include: - Remote-first culture – work from anywhere! - In-Company English Lessons. - Wellhub or sports club stipend to stay active. - AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered. - Food credits via Pedidos Ya – because great work deserves great food. - Birthday off + an extra vacation week (Mutt Week!) - Referral bonuses – help us grow the team & get rewarded! - Annual Mutters' Trip – an unforgettable getaway with the team! We provide a supportive remote-first environment with various perks, including learning resources, wellness benefits, and opportunities for team building.