ABOUT APPLY DIGITAL
Apply Digital is a global experience transformation partner. We drive AI-powered change and measurable impact across complex, multi-brand ecosystems. Leveraging expertise that spans across the customer experience lifecycle from strategy, design to engineering and beyond, we enable our clients to modernize their organizations and maximize value for their business and customers.
Our 750+ team members have helped transform global companies like Kraft Heinz, NFL, Moderna, Lululemon, Dropbox, Atlassian, A+E Networks, and The Very Group.
Apply Digital was founded in 2016 in Vancouver, Canada. In the past nine years, we have grown to ten cities across North America, South America, the UK, Europe, and India.
At Apply Digital, we believe in the “One Team” approach, where we operate within a ‘pod’ structure. Each pod brings together senior leadership, subject matter experts, and cross-functional skill sets, all working within a common tech and delivery framework. This structure is underpinned by well-oiled scrum and sprint cadences, keeping teams in step to release often and retrospectives to ensure we progress toward the desired outcomes.
Wherever we work in the world, we envision Apply Digital as a safe, empowered, respectful and fun community for people, every single day. Together, we work to embody our SHAPE (smart, humble, active, positive, and excellent) values and make Apply Digital a space for our team to connect, grow, and support each other to make a difference.
Visit our Careers page to learn how we can unlock your potential.
LOCATION: Apply Digital is hybrid/remote-friendly. The preferred candidate should be based in Latin America, preferably working in hours that align to PT (Pacific Timezone) or ET (Eastern Timezone). Candidates located in Santiago, Chile are able to work out of our Santiago office as remote/hybrid employees. Candidates located outside of Santiago, Chile will be fully remote employees.
THE ROLE:
Are you passionate about building scalable data pipelines and optimizing data architectures? Do you thrive in a fast-paced environment where data-driven decision-making and real-time analytics are essential? Are you excited to collaborate with cross-functional teams to design and implement modern cloud-based data solutions? If so, you may be ready to take on the Senior Data Engineer role within our team.
As a Senior Data Engineer, you will play a key role in designing, building, and maintaining cloud-native data pipelines and architectures to support our Composable digital platforms. You will collaborate with engineers, product teams, and analytics stakeholders to develop scalable, secure, and high-performance data solutions that power real-time analytics, reporting, and machine learning workloads.
This role requires deep expertise in data engineering, cloud technologies including modern data warehousing platforms like BigQuery and Snowflake and strong proficiency with SQL and Python. Experience with processing frameworks (e.g. Databricks) and data pipeline orchestration tools (Dagster and DBT) considered a plus.
