Amazon RedshiftBigQueryCloudSQLAnalyticsSnowflakeRedshiftdbtGitAgileMentoringCommunicationCollaborationRemote Work
About this role
Role Overview
You will work on Data Modelling and Analytics Engineering project to improve, enrich and maintain our data models and Analytics pipelines. Those projects will be in close collaboration with the head of Data & Analytics as the main stakeholder. The objective of those project is to further enable data analytics and scientist from the team to bring more impact to the business use cases they are working on in collaboration with business teams.
You will be responsible for contributing effectively to our code base: building, testing, reviewing and maintaining solid analytics pipelines using SQL and dbt. Help managing TechDebt and improving engineering practices and the project's architecture are also important responsibilities for this role. Solid methodical testing is key here to strengthen Data Observability.
You are expected to gradually own some aspects of the team's responsibilities (some parts of the code base, , have a strong saying in how the analytics project's architecture should evolve, contribute to team's evolution and continuous growth, help data analysts and scientist improve and strengthen their engineering skills ...)
You will be expected to speak up your mind and contribute proactively and effectively to improving the team's practices, cohesion, impact and mission
You are expected to be highly autonomous and show a sense of ownership and ability to effectively manage your own projects and stakeholders. This should be fulfilled with minimum guidance from the Head of Data & Analytics
You will help mentoring more junior members and sharing knowledge and practices within the team to level up everyone's skills
You are expected to contribute effectively to our functional documentation in a way that is clear, concise and useful for future collaborators and readers
Requirements
University Degree in Engineering, Computer Science or Applied Mathematics
A minimum of 4 years of experience in Data or Analytics Engineering
Excellent hands on skills in Data Modelling
Excellent SQL skills (even better if this is coupled with dbt experience or a similar sql based data modelling tool)
Previous experience working with modern data stack tools and cloud based data warehouse (BQ, Snowflake, Redshift,..)
Sound business acumen to mange your own projects and your business stakeholders
Self-Starter with the ability to work autonomously and own ones projects fully
Excellent written and verbal communication skills (English)
Comfortable in a remote work environment (we are a remote-first organisation)
Good to Have:
Prior experience with some of the tools we use in our Data-Stack (Amplitude, dbt, BigQuery, Metabase)
Good analytical and statistical intuition
Hands-on Data Analysis skills
Prior experience managing modern dbt data pipelines
Prior experience in an agile start-up environment
Tech Stack
Amazon Redshift
BigQuery
Cloud
SQL
Benefits
About UsAn award-winning health, wellness, & coaching company that creates apps which fall the top ten internationally. Our science-based approach sits squarely in the tech-for-good lane, helping people live their best lives. Everyone who has joined this company is committed to using evidence-based research to find the absolute best ways to change lives for the better.
Our HistoryThree co-founders created the Fabulous app: Sami, Amine, and Taylor. Growing up in Tunisia, Sami and Amine were only 16 when they met. With their early iteration, they reached out to Taylor, an award-winning designer in Malaysia. Their vision was welcomed into an incubation lab for startups at Duke University led by world-renowned Behavioral Economics Professor Dan Ariely. Our Chief Storyteller Jaz co-founded the Introductory Psychology program at Stanford University.
Our ApproachWe use a behavioral economics lens to help individuals find that 'on switch' inside them to achieve their fullest potential. What has emerged is a system that transforms tiny habits into profound long-term changes. A world in which people with ADHD thrive. A method for gratitude to reach through difficulty. A sanctuary to seek out your true purpose. A fountain of knowledge. A space for rest and self compassion.
Our Mission**Help every individual discover the wonderful person inside themselves **by creating: *beautiful, evidence-based, life-changing *products.
Our EnvironmentThe first thing that sets us apart is that we’re not a place at all. While we’re a remote company, it’s not unusual to feel you know your teammates better than those you’ve shared an office with in the past. Ours is a professionally nourishing environment that is flexible and fully remote. Team members enjoy in house challenges and Slack event and work across a variety of tools. Meetings are kept to a minimum and deep work is encouraged.
Our Awards
Apple Best Apps of 2018
Editor’s app choice in more than 30 countries
Winner of Google’s Material Design Award
Best App Finalist in Google Play Awards
Consistently ranking in the top ten Health & Fitness apps
Backed by Facebook Startup Lab and Microsoft Venture
Our NormsOwnership: Be the CEO of your tasks. No one is watching over your shoulder. Be the proof.
**Open Communication: **Constructive ideas are always flying across time zones.
**Deep Work: **Disconnect. Find your flow. Become industrious. It’s about the work here.
**Always Offer Context: **Sharing rationale works wonders in asynchronous conversations.
**Impeccable Agreement: **Promise, then follow through. Everyone relies on everyone.
Egos are checked at the door. Those who join our workforce place themselves in service of our members.
Our FutureTo this day, over 30 million people have started their journey to better themselves with our apps. We are creating a generation of change-makers, with the same drive to help others, each in their own way.
Our InvitationAt Fabulous, every team member is a sculptor in their own right. Together, we help millions of users step out of their block of stone and step into the fullest version of their life through behavioral science. Tell us what drives you; if you were to pick up your tools, what would you contribution look like?