Required Data Engineer
About the Data Team:
Our Data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
On your day to day:
In our day-to-day work, we design and maintain reliable data pipelines using Python and modern orchestration frameworks to move and transform raw data from a variety of sources. This includes working with APIs, event streams, and databases to ingest and process data at scale. We implement and maintain models, manage complex data transformations, and collaborate closely with other teams to ensure that the right data is available at the right time. Whether we're tuning a performance, debugging a transformation step, or shipping an AI-driven feature, every day is a chance to build something impactful.
About the Data Team:
Our Data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
On your day to day:
In our day-to-day work, we design and maintain reliable data pipelines using Python and modern orchestration frameworks to move and transform raw data from a variety of sources. This includes working with APIs, event streams, and databases to ingest and process data at scale. We implement and maintain models, manage complex data transformations, and collaborate closely with other teams to ensure that the right data is available at the right time. Whether we're tuning a performance, debugging a transformation step, or shipping an AI-driven feature, every day is a chance to build something impactful.
Requirements:
Strong proficiency building data pipelines and managing data warehouses (2+ years)
Working knowledge of Python for data extraction, processing and automation tasks.
Experience with event tracking and NoSQL databases.
Experience with dbt or similar tools.
Solid grasp of software engineering best practices, including query optimization, version control (e.g. Git), code reviews, and documentation.
Analytical mindset with strong problem-solving skills.
Strong proficiency building data pipelines and managing data warehouses (2+ years)
Working knowledge of Python for data extraction, processing and automation tasks.
Experience with event tracking and NoSQL databases.
Experience with dbt or similar tools.
Solid grasp of software engineering best practices, including query optimization, version control (e.g. Git), code reviews, and documentation.
Analytical mindset with strong problem-solving skills.
This position is open to all candidates.