Senior Analytics Engineer

Há 4 dias

Lisboa, Portugal Dashlane Tempo inteiro

.About the role: At Dashlane we see data as a true and reliable asset: data drives decisions based on timely insights and all teams are empowered to use data in their daily work. We are hiring a Senior Analytics Engineer to join our team andenableour internal data users through building reliable, relevant, findable, and understandable data models. You will sit at the intersection of business teams, product and business analytics and data engineering. You will be responsible for bringing robust, efficient, and integrated data models to life. You should speak the language of business teams and technical teams, able to translate data insights and analysis needs into models. Location: You will be based in Lisbon, with English as your working language. We offer a hybrid work arrangement, with Tuesday being the company day, where we all collaborate in the office and have a company-sponsored meal, a department day for team bonding (will be Thursday for your department), and a third day at your choice. We offer relocation support (national and international). About our stack: Data Modeling:DBT Programming language: SQL, Python, Bash Data Platform: AWS ( S3, EC2, ECS, Lambda, Kinesis, Glue & DMS),MySQL on RDS BI Tools: Tableau Orchestration: Airflow Release management and CI/CD: Gitlab Infrastructure provisioning and management: Terraform ETL and ELT Tools: Airbyte and Hightouch Logging and monitoring: ElasticSearch & AWS Cloudwatch Documentation and collaboration tooling: Confluence, Gitlab & Slack At Dashlane you will: Collaborate with data team members and data stakeholders to collect business requirements, define successful analytics outcomes, and design data models. Build trust in all interactions and with our data platform by balancing strong interpersonal skills with a strong commitment to maintaining high-quality outputs. Design, develop, and extend dbt models that support product and business decisions and data-driven innovation. Design and develop appropriate data quality tests in accordance with the existing data quality framework to ensure a high level of model quality and foster a culture of trust in data. Create and maintain models architecture and documentation. Train business users to perform basic data visualizations /analytics on BI tools. Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale data environment. Maintain and advocate for these standards through code reviews. Provide data modeling expertise through code reviews, pairing, and training to help deliver optimal, and scalable database designs and queries in AWS Redshift. Requirements: 5+ years as an data analyst, data engineer, or equivalent. 3+ years experience designing, implementing, operating, and extending data models. Demonstrated strength in SQL, ELT/ETL development, DBT and data warehousing (Redshift, Snowflake, etc.). Proficient in using BI tools such asTableau/Looker/Power BI

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