Senior Data Engineer

Overview

Job Description

Responsibilities

• - Design, develop, and maintain dbt (Data Build Tool) models for data transformation and analysis
• - Deliver large projects autonomously, acting as the expert in all data modelling concerns
• - Collaborate with Data Analysts and business stakeholders to understand their reporting and analysis needs
• - Own our internal dbt conventions and best practices
• - Ensure data quality and consistency by implementing data testing, validation and cleansing techniques
• - Implement monitoring solutions to track the health and performance of the data present in our warehouse
• - Create and maintain data documentation & definitions, including data dictionaries and process flows
• - Share knowledge and provide guidance to peers, creating an environment that empowers collective growth

Required Skills

• - Significant experience modelling in popular data transformation frameworks (dbt, Airflow, etc.) and strong SQL proficiency
• - Significant experience working with popular cloud data warehouses (Snowflake, Databricks, BigQuery, etc.)
• - Strong knowledge of data modelling techniques (Kimball, Data Vault, etc.)
• - Experience working with BI tools (Looker, Tableau, Sigma, Metabase, etc.)
• - Strong affinity towards well crafted software - version control, testing, CI/CD (Gitlab, Github, etc.)
• - A self-starter mentality and the ability to thrive in an unstructured and fast-paced environment
• - Strong collaboration, documentation and communication skills
• - Strong experience delivering large projects (with a significant data modelling component) autonomously
• - Experience mentoring and coaching other members of Data teams
• - Experience in dealing with ambiguity, working together with stakeholders on taking abstract concepts and turning them into data models that can answer a variety of questions
• - You are a kind, empathetic, and patient person
• - Write and speak fluent English

Benefits

• - Work from anywhere
• - Unlimited personal time off (minimum 4 weeks)
• - Quarterly company-wide day off for self care
• - Flexible working hours (we are async)
• - 16 weeks paid parental leave
• - Mental health support services
• - Stock options
• - Learning budget
• - Home office budget & IT equipment
• - Budget for local in-person social events or co-working spaces