Senior Data/Analytics Engineer
Summary
Senior Data/Analytics Engineer at Entrada AI, a Databricks consulting partner, building semantic and dimensional data models, graph schemas, and governed analytics (semantic views, row access policies) on Databricks, Snowflake and GCP BigQuery for enterprise clients. Fully remote within Poland, Romania, or Greece (B2B, or UoP in Poland).
About Entrada AI
Entrada AI is a specialized consulting partner and a strategic portfolio company of Databricks Ventures. We were recently named the Genie Partner of the Year (2026) for our work deploying Databricks Genie at enterprise scale—bridging the gap between AI ambition and the trusted, governed data required for accurate responses. With over 150 Databricks projects delivered, we unlock self-service analytics for Fortune 500 leaders.
Databricks invested in us because of our technical excellence, placing us in the "inner circle" of the ecosystem. For our engineers, this means direct access to product roadmaps, private previews, and the teams building the platform. You will join a team of industry veterans who value clean architecture over quick fixes. We don't just maintain pipelines; we solve complex architectural challenges.
About the Role
A critical role connecting business needs and technical data infrastructure. Responsible for transforming complex business requirements into robust, scalable data structures ready for analysis within the Google Cloud Platform ecosystem. This position emphasizes semantic modeling, ensuring data is prepared for autonomous business consumption and valuable for decision-making, while also adapting it for advanced uses such as AI agents.
Key Responsibilities
Semantic views, named metrics, verified queries
Graph schema and entity resolution against the alias map
SQL correctness and numbers-from-code discipline
Row access policy design, jointly with the DevOps seat
Must-haves
Dimensional modeling: star schema, conformed and slowly changing dimensions
Snowflake semantic views, named metrics, row access policies, masking policies
Cortex Analyst semantic models and the Verified Query Repository
Graph data modelling, node and edge design, ontology or taxonomy work
Entity resolution and alias mapping at enterprise scale
dbt Core, SQL, SQLFluff or equivalent linting
Python for transformation work
GCP BigQuery exposure an advantage
The Offer
Cooperation Models:
Poland: Available via Employment Contract (UoP) or B2B.
Romania/ Greece: Available via B2B only.
100% Remote: Full flexibility to work from anywhere in Poland/ Romania / Greece
High-End Tech: Apple MacBook Air M4 15" provided to all engineers.
Referral Bonus: Bonus for bringing other top-tier engineers to the team.
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Professional Growth:
Certification Support: Coverage for all Databricks technical certifications.
Industry Leadership: Support in reaching the highest tiers of Databricks expertise (such as the Champion program) tailored to your specific career track.
Personal Branding: Opportunities to present at global industry conferences and contribute to technical thought leadership.
Expert Mentorship: Direct collaboration with Databricks MVPs and core product teams, giving you a front-row seat to the platform's evolution.
Recruitment Process
Introductory Call (20 min): Short conversation with our Recruiter to discuss your background and expectations.
Technical Interview (60 min): Deep dive into your technical skills with our engineering team.
Optional Client Interview: Required only in specific cases.
Decision & Offer: We aim to close the process and provide feedback efficiently.