Remote Data Jobs · DBT

Lead Docker's Data Engineering team and drive the strategic evolution of data analytics across the company. Requires deep technical expertise in modern data platforms, strong leadership skills, and the ability to translate business needs into robust data solutions that scale with Docker's growth.

Shape how data drives decisions across the company. This high-visibility, hands-on role blends technical depth with analytical storytelling. You’ll develop scalable dbt models in BigQuery and Looker, define trustworthy metrics, and translate complex data into insights that influence company strategy.

Estamos em busca de uma pessoa Senior Data Engineer para atuar em um projeto internacional , na construção e evolução do ecossistema de dados, garantindo escalabilidade, qualidade e governança em todas as camadas. You will develop and maintain robust and scalable data pipelines and build and evolve data models using good engineering practices.

In this high-impact role, you’ll take ownership of designing, building, and scaling the data pipelines and infrastructure that power our ML and AI models. You’ll work across ingestion, transformation, modeling, and orchestration — ensuring our data is reliable, accessible, and primed for analytics and machine-learning use cases.

Lead the redesign of a data platform to support high-volume analytics and faster BI. Define the target architecture, resolve ingestion challenges, implement modern data pipelines, and optimise database performance for advanced analytics use cases.

Collaborate with Product Managers, Product Operations, and Dev teams to create actionable insights. Monitor product and feature release performance, define success metrics, and provide optimization recommendations. Analyze market data, identify customer behavior and trends, and help design A/B tests. Build data models in dbt and create user-friendly dashboards to support decision-making.

Transform terabytes of data into actionable insights as an Analytics Engineer on Kraken's Data Platform team, enabling us to stay ahead in the ever-evolving cryptocurrency landscape. You’ll work on Finance data, building data products for various Finance and analytics teams, and that’s where your Finance background and expertise, alongside with Analytics Engineering skills will help us succeed!

Pinpoint the key opportunities for optimizing costs and reducing carbon impact, teaming up with Engineering to propel them forward. This role provides insights that directly influence Procurement and Technology Infrastructure strategies, shaping how Spotify invests in and scales its infrastructure. You'll take ownership of our cloud carbon emissions reporting methodology and tooling, ensuring it continues to evolve in close collaboration with the Head of Climate and Sustainability.

As an Airtable’s Analytics Engineer, you will play a crucial role in shaping the future of Airtable by deepening our understanding of our product and partnering with Sales, Sales Ops, and engineers. Analytics Engineers build the data foundation for reporting, analysis and experimentation. Using SQL, DBT, and Looker, you will transform data from data warehouse tables into critical self-serve data artifacts that power impactful analytic use cases and empower data consumers.

In this role, you’ll design and implement data-intensive solutions that power a truly data-driven organization. As a Data Engineer, you’ll build data products aligned with Data Mesh vision and target architecture. Turning data into impact is key. You will design, build, and maintain efficient and reliable data pipelines and develop and optimize data models for analytics and reporting.