Muttdata - Data Engineer Senior
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Requirements
ā¢ Experience in Data Engineering, including building and optimizing data pipelines. ā¢ Experience working with Databricks, Python, and Spark, building batch and streaming solutions. ā¢ Experience with Microsoft Fabric, including data integration, analytics, or lakehouse solutions. ā¢ English Advanced Level. ā¢ Familiarity with BI visualization tools such as Looker, Tableau, or Power BI.
Responsibilities
ā¢ Co-develops batch and streaming pipelines, semantic models, and transformations ā¢ on Databricks (Python/Spark). ā¢ Defines and maintains data contracts, quality rules, and data SLOs for each data ā¢ Guides domain teams on data modeling and data product boundaries (what ā¢ belongs to which product/domain). ā¢ Trains, mentors and pairs with domain engineers/analysts on data product ā¢ ownership and good engineering practices. ā¢ Captures feedback and best practices from domains and feeds improvements back ā¢ into platform templates, tooling, and patterns.
Benefits
ā¢ Remote-first culture ā work from anywhere! š ā¢ AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered ā¢ In-Company English Lessons. ā¢ Birthday off + an extra vacation week (Mutt Week! šļø) ā¢ Referral bonuses ā help us grow the team & get rewarded! ā¢ Maslow: Monthly credits to spend in our benefits marketplace. ā¢ āļøšļø Annual Mutters' Trip ā an unforgettable getaway with the team! ā¢ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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