Gravity Team
11 - 50 employees
Founded 2017
💸 Finance
Finance • IT • Analytics
Gravity Team is a company with a strong focus on analytics and data-driven insights. They ensure a seamless user experience on their website through the use of cookies and similar technologies, allowing for both strictly necessary and analytical cookies, depending on user consent. Based in Latvia, Riga, Gravity Team is involved in various fields including algorithmic trading, IT infrastructure management, business development, and finance. They are constantly seeking talented individuals to join their dynamic team, offering hybrid and remote work opportunities. Their operations suggest a significant involvement with technology and data privacy.
Senior Analytics Engineer – Databricks, Semantic Layer, AI Readiness
🕒 May 14
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Gravity Team
11 - 50 employees
Founded 2017
💸 Finance
Finance • IT • Analytics
Gravity Team is a company with a strong focus on analytics and data-driven insights. They ensure a seamless user experience on their website through the use of cookies and similar technologies, allowing for both strictly necessary and analytical cookies, depending on user consent. Based in Latvia, Riga, Gravity Team is involved in various fields including algorithmic trading, IT infrastructure management, business development, and finance. They are constantly seeking talented individuals to join their dynamic team, offering hybrid and remote work opportunities. Their operations suggest a significant involvement with technology and data privacy.
📋 Description
• Databricks ingestion and warehouse execution • Gold models, marts, and semantic layer delivery • Genie and AI-readiness of the data layer • Data quality, monitoring, and validation • Stakeholder enablement and warehouse adoption • Financial and business reporting support • Team collaboration and ways of working • Work closely with the BI Lead to turn roadmap items into concrete technical deliverables. • Provide effort estimates, implementation tradeoffs, and delivery risks. • Participate in code review, documentation, and shared standards for SQL, notebooks, jobs, and data assets. • Help strengthen self-service analytics by creating reusable assets and reducing manual workflows.
🎯 Requirements
• Strong SQL skills and solid Python skills. • Hands-on experience with Databricks, Spark, Delta Lake, or a similar modern cloud data platform. • Experience building and maintaining ELT/ETL pipelines, especially with incremental or CDC-based patterns. • Experience with dimensional modeling, marts, semantic layers, and warehouse-first business logic. • Experience supporting self-service analytics or BI platforms used by multiple teams. • Ability to work directly with stakeholders and translate messy business requirements into clean data products. • Strong debugging, validation, and documentation habits. • Good to have Experience with Power BI, Grafana, dbt, Airflow, Kafka, or similar tooling. • Familiarity with Unity Catalog, fine-grained access patterns, or governed data products. • Exposure to natural-language BI, semantic metadata, or preparing datasets for AI-facing analytics tools. • Experience in financial, trading, or crypto-adjacent environments. • Familiarity with GitLab, Jira, notebooks, and collaborative analytics development workflows.
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