Senior Analytics Engineer (EU Timezones Only)

March 19

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Fabulous

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Born at Duke University, the Fabulous app uses behavioral science to help individuals and teams build healthy habits.

Technology • Self Growth • Self Improvement • Personal Development • Health

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Description

• 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) • Excellent Engineering skills (testing, clean coding, peer-reviewing, CD/CI, git workflows, agile workflows, etc…) • 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) • 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

Benefits

• Monthly Workshops • A Book Club • Team Challenges • Team-Building Activities • A flexible and fully remote working environment