Data Product Developer

TP, a global leader in human+AI business services, is building data products that power its operations, its clients’ services and its AI ambitions. As Data Product Developer you will build what people actually use: the trusted tables, KPI views and reports TP’s teams, its clients and AI assistants rely on every day. You will build the first version of each new type of table or report and turn it into a template engineers can reuse, so the work scales across countries and clients without the team growing at the same pace.

Responsibilities

• You will also tailor insight reports for pilot clients and present them to their teams, and you will own the tests that make the numbers trusted by default.
• It is a rare chance to build the data and reports that leaders across TP and its clients rely on, at global scale and with direct visibility to TP’s leadership.
• Success in this role requires engineering discipline and a product mindset. Your primary responsibilities will include:
• Gold Tables & KPIs: Build the trusted tables and KPI calculations on Databricks from the agreed data model, with the same formula for every TP country and client.
• Semantic & Metric Views: Create and govern the semantic and metric views that serve BI tools and AI assistants consistently.
• First Builds & Templates: Build the first version of each new type of table or report and hand a documented template to the data engineers for reuse.
• Reports & Dashboards: Build or reuse Power BI reports and dashboards for TP’s global reporting, add each country’s and client’s data, and help retire the local reports they replace.
• Client Deployments: Deploy and tailor insight reports for TP’s pilot clients in their own environments, present them to client teams and turn their feedback into improvements.
• User Enablement: Document each product and coach users on how to get the most from reports and dashboards.
• Testing & Reconciliation: Test every release with automated data and unit tests, and reconcile results with the numbers reported by TP’s regions.
• Run & Change: Maintain reports and views, monitor refreshes, handle new requests and fix defects within agreed service levels (SLAs).
• Security & Performance: Apply access rules and row-level security, and keep reports fast and cost-efficient.
• Ship the First Data Layer: Deliver the first trusted tables and views for the first countries and clients, built from agreed definitions.
• Publish the Priority KPIs: Publish metric views for the priority KPIs, reconciled with regional numbers within an agreed tolerance.
• Hand Over the Template: Document the first build and see the data engineers deliver the next one from it.
• Deliver the Pilot Reports: Deploy the first insight reports for the pilot clients and capture their feedback.
• Apply a QA Standard: Define a report QA checklist and apply it to every release.
• Keep Reports Healthy: Measure refresh failures and defects against a baseline and bring both down.
• Test-and-learn attitude, shipping a first version fast and improving it.
• Takes ownership of the quality of every number shipped.
• Process Excellence: Champions process excellence, continuously driving enhanced efficiency, effectiveness, and quality across the entire organization.

Requirements

• Education: Background in Computer Science, Engineering, Data Analytics or Information Systems; Microsoft PL-300 or DP-600 certification is an advantage.
• Professional Background: 5+ years in BI development or analytics engineering, building semantic models and reports on a modern data platform.
• Technical Skills: Advanced SQL; Power BI with DAX and Power Query; Spark or Databricks; dimensional modeling and a metric or semantic layer; version control and automated testing.
• Data Quality: Experience profiling and reconciling data, and automating tests and anomaly detection that catch problems before users do.
• AI Readiness: Understanding of how semantic layers and metric definitions feed AI assistants and AI agent use cases.
• Proven Scale: Experience delivering reports for many countries or client accounts from one common data model, including in client environments with restricted data access.
• Client-Facing Skills: Able to present and adapt reports for client stakeholders and turn feedback into improvements.
• Storytelling: Able to turn complex data into clear messages and visuals that drive decisions.
• Collaboration: Able to bridge business needs and engineering teams.
• Languages: Fluent English; Spanish or Portuguese is an advantage.
• User-centric, building reports people actually want to use.
• Communication: Communicates complex and strategic information to diverse stakeholder groups using various channels.
• Emotional Intelligence: Shapes a culture of empathy and trust, creating an environment where positive relationships amplify the impact of actions.
• Open-Mindedness: Shapes an environment of open-mindedness that encourages diverse perspectives, ensuring all voices are heard and considered.
• Critical Thinking: Evaluates complex information and arguments leveraging data and insights, promoting a culture of critical thinking throughout the organization.

Pay

Entrepreneurship: Cultivates an entrepreneurial mindset that emphasizes creativity, calculated risk-taking, proactive problem-solving, and opportunity identification.

Benefits

• AI Proficiency: Champions the integration of AI concepts and technologies across the organization to enhance organizational efficiency and innovation.
• Data Literacy: Promotes a culture of data-driven leadership throughout the organization and creates the necessary environment for people to leverage data for informed decision-making.
• Solution Orientation: Creates an environment in which people focus on finding practical and effective solutions and ensures that those are realized.
• Competitive Compensation: A highly competitive salary and performance-based bonus structure aligned with your experience and market standards.
• Global Environment: The opportunity to work in a dynamic, international, and multicultural environment with cross-border teams and global projects.
• Career Growth: Clear pathways for professional development, internal mobility, and long-term career progression within a rapidly growing global company.
• Cutting-Edge Technology: Work with the latest tools, platforms, and AI-driven technologies in the industry.

Data Product Developer

Teleperformance Spain · Madrid, Spain (Hybrid) · Full-time · Posted 2026-11-13

Collaboration: Inspires collaboration by leveraging shared ideas and resources to drive the organization toward achieving common goals.

Diversity, Equity & Inclusion

TP is home to a global family with various backgrounds and lifestyles. We will always embrace diversity and never discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or other differences.

Apply

[Apply at Teleperformance Spain](https://apply.workable.com/teleperformance-spain/j/7BEB8A5D47/apply)