Senior Data Engineer

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies , including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role This role is suitable for experienced Data Engineers with 3 years plus of experience, so only apply for this role if your experience matches that criteria. This is a Data Platform Engineering role sitting within our Platform Engineering department, alongside our Infrastructure and Dev Platforms teams. You will be building the data platform that the rest of DataCamp depends on, not doing analytics work for a single business unit. DataCamp, being a data-driven organization, runs a Datalakehouse on Google Cloud's BigQuery and our reporting is created using our Looker BI tooling. This BI reporting capability helps the DataCamp leadership team steer the company OKRs and vision, and it also helps our engineering teams make data-driven decisions on everything we do. Data also helps us measure how successful our product features or initiatives have been. To provide data analytics for all our staff, DataCamp has a completely automated data pipeline built using an "infrastructure as code" methodology with Terraform and Ansible, which allows infrastructure provisioning of all data engineering tooling. DataCamp operates a data pipeline that ingests data using Airbyte, and our Airflow cluster schedules a series of tasks each day to transform and clean our data and seed our data marts that are authored using DBT, which helps simplify reporting for each of our business units. DataCamp currently has data marts for finance, engineering KPIs, engineering costs, and infrastructure cost, to make reporting as easy as possible for our stakeholders in those business units, and we aim to extend that offering. DataCamp's leadership team, data scientists, data analysts and engineers all require the latest datasets to be refreshed on a daily basis so they can do their daily tasks. It is expected that the data platform engineering team makes sure there are no issues with the daily refresh of data and also provides consultancy on best practices such as data ingestion, data mart design, or data product design. A large part of this role is enabling AI agents and MCPs across the company. We are in a strong agent-first engineering push at DataCamp. That means the data platform is no longer just serving humans through Looker dashboards, it is serving Claude, Claude Code and other agents through MCP servers that expose BigQuery, dbt metadata, data marts and internal tooling in a safe, governed way. You will be building and maintaining those MCPs, shaping how teams across DataCamp get data into their agent workflows, and setting the standards for how agent-authored changes land in our data platform. What to expect from DataCamp if you join us as a Data Engineer It will be your role, as part of the Platform Engineering department, to work directly with our staff data engineer, the wider platform engineering teams, our data science and analytics teams, and stakeholders across product and engineering on all data initiatives, both internally and as part of DataCamp's data products. You should join us at DataCamp if you want to be fully supported in learning how to create and maintain best-in-class data platform engineering processes in an agent-first environment. If you enjoy learning in a team environment, our data and platform experts will be on hand to provide a support network to help you in your career development. You will also be empowered to have creative freedom to shape the processes and roadmap for data platform engineering at DataCamp, including how we expose data to agent ... (truncated, view full listing at source)