Data Analytics Engineer

Summary

Join Hivebrite's Platform Tribe's Data Squad as an Analytics Engineer and play a crucial role in shaping the data landscape for both customer-facing applications and internal tools. You will be involved in the entire data lifecycle, from designing and developing data pipelines to optimizing them. Collaborate with stakeholders to understand their needs and deliver impactful data solutions. Contribute to Hivebrite's growth by empowering data-driven decision-making. This role requires experience in data engineering, SQL, data visualization tools, and data warehousing solutions. Hivebrite offers a flexible remote work policy, various family-friendly benefits, wellness programs, professional development opportunities, and a competitive salary package.

Requirements

• 3+ years of experience as a Data Engineer, Analytics Engineer, or in a data-oriented software engineering role
• 3+ years of experience using SQL
• Significant experience with at least one visualization tool for building semantic layers or dashboards (e.g., Looker, Tableau, Power BI)
• Fluency in English
• 2+ years of experience with dbt
• 2+ years of experience designing and provisioning data systems, including pipelines and database schemas and/or data lake tables
• Experience in a SaaS environment, ideally with metrics relevant to customer success
• Experience with data warehousing solutions such as BigQuery or similar
• Strong understanding of data security and privacy best practices

Responsibilities

• Build and maintain robust and efficient data pipelines, ensuring data quality, reliability, and scalability
• Design and implement data models optimized for analytical queries and reporting, leveraging best practices for data warehousing and dimensional modeling
• Transform and prepare data for analysis by data analysts and data scientists, ensuring data accuracy and consistency
• Develop and maintain interactive dashboards and reports to provide key business insights to various stakeholders
• Collaborate with cross-functional teams to understand their data needs and translate them into technical requirements
• Develop and maintain clear and comprehensive data documentation to facilitate understanding and collaboration
• Optimize data pipelines and queries for performance and efficiency, ensuring scalability as data volumes grow
• Explore and implement new data engineering and analytics technologies to enhance our data infrastructure

Benefits

• A really flexible remote policy
• Nomad days policy (work from somewhere else between 1 and 12 weeks per year)
• 2 months of paid leaves for the second care-giver
• Up to 5 days off for parents with sick kids per year
• Up to 3 days off per year to spend quality time with your kids
• A special family plan with extra leaves for certain situations
• Around two weeks of RTT to enjoy more time off with your friends and familly
• A paid day off for your birthday
• A paid volunteer day
• Support for mental health via Moka Care (sessions paid by Hivebrite, collective sophrology sessions, etc.)
• Team building with dedicated budget for events every month with your team and yearly with your entire department
• Squads days for our engineering team - two days per month we meet at the office
• Recurring events to gather together and spend fun times
• Internal mobility and professional training to support your career
• Personalized well-being and growth follow up
• Alan: Covering and insurance package boosted (extra for vision, dental care, alternative medicines,...)
• For Paris employees, 100% of your Navigo Pass reimburse
• Lunch vouchers with Swile
• CSE advantages with Swile
• A 200€ remote equipment allowance to build your work-from-home starter kit (desk, chair, etc…)
• The latest Apple’s equipment
• A competitive salary package - we constantly ensure that we're aligned with the market