Source Job

• Lead the complete data chain for the Foundation Pod, covering ingestion, Bronze, Silver, Gold layers, and the Power BI semantic layer.
• Build, optimize, and maintain scalable ETL/ELT data pipelines and Gold certified datasets to drive BI and analytics.
• Implement robust Data Lakes, Data Warehouses, and integration layers aligned with the global data strategy.

We help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact.

• Lead architecture for Microsoft Data & AI solutions, translating business needs into scalable, secure, and AI-ready architectures.
• Define target-state architectures for data modernization, analytics, and AI using Microsoft Fabric, Azure Databricks, and related tools.
• Provide technical leadership and client-facing advisory, supporting presales and implementation efforts.

TTEC Digital is an employee experience and customer experience (CX) consultancy that helps clients drive engagement and growth through innovative technology solutions. With 1,700+ employees, they are part of a larger 60,000+ person organization serving customers in over 80 countries, with a culture centered on diversity and inclusivity.

• Design and manage end-to-end data infrastructure including databases, Data Warehouses, Data Lakes, and Medallion Architecture.
• Lead technical migration strategy from legacy systems to cloud platforms, ensuring smooth transition.
• Translate business requirements into technical specifications, establish data models and governance policies.

CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25 countries, they collaborate to build solutions with real impact.

• Define and communicate the long-term data architecture vision, aligning with business strategy.
• Lead migration of data pipelines to Microsoft Fabric, ensuring reliable data for business consumption.
• Mentor team members and explain complex data concepts to diverse stakeholders.

CI&T helps large enterprises transform the potential of AI into real business impact. With 30 years of experience, they are 8,000 employees across more than 25 countries, collaborating to build solutions with real impact.

• Lead design and development of enterprise-grade data engineering solutions using Microsoft Fabric and Azure.
• Design scalable data pipelines for batch and real-time processing, optimizing ETL/ELT processes with modern Azure tools.
• Collaborate with architects, provide technical leadership, mentor data engineering teams, and ensure data quality, security, and governance.

HSO is an IT services company specializing in Microsoft technologies, including Fabric and Azure, for enterprise data and cloud transformation. They operate globally and emphasize a collaborative, skilled technology team.

• Define and execute the long-term data engineering strategy, designing scalable ecosystems and driving engineering excellence.
• Deliver major systems reliably, align with business goals, and manage data quality and governance.
• Influence cross-functionally, mentor engineers, and champion organizational change through executive communication.

SmithRx is a rapidly growing, venture-backed Health-Tech company disrupting the Pharmacy Benefit Management sector with a next-generation drug acquisition platform. Since 2016, they have onboarded hundreds of thousands of members and foster a mission-driven, collaborative culture guided by integrity, courage, and togetherness.

• Build and optimize scalable data pipelines using Databricks, Spark, and PySpark for cloud migration.
• Design and maintain data models (Bronze, Silver, Gold layers) to enable analytical insights.
• Ensure data quality and governance while managing the technical roadmap and communicating with stakeholders.

CI&T helps large companies transform AI potential into real business impact with AI deployment and tech-integrated solutions. They have 8,000 employees across 25+ countries, fostering a collaborative and innovative culture.

• Build and maintain data pipelines and infrastructure for digital analytics environments, ensuring robust ingestion, transformation, and availability of data.
• Work closely with Martech experts to integrate data from sources like Google Analytics and Customer Data Platforms.
• Manage platform data and technology, ensuring integrity, consistency, and alignment with business needs.

CI&T helps large enterprises harness AI for real business impact through AI deployment, AI-native execution, and tech-integrated business solutions. With 8,000 employees across over 25 countries, the company fosters a collaborative and innovation-driven culture focused on digital transformation.

• Design and implement modern data platforms using Microsoft Fabric and Databricks, building performant ELT/ETL pipelines and scalable lakehouse architectures.
• Develop complex Power BI data models and visually compelling reports that drive measurable client decisions, ensuring data quality and usability.
• Work directly with client stakeholders to gather requirements, provide expert guidance, and build strong relationships as a trusted technical advisor.

Collectiv is a boutique consulting and strategy firm specializing in Analytics, Planning, and AI with Power BI and the Microsoft Data Stack. They are a fully remote team with a growth mindset and a focus on helping enterprises make better decisions.

• Design end-to-end data solutions including warehouses, lakes, and pipelines to enable analytics, reporting, and AI.
• Act as a senior individual contributor bridging business strategy and technical execution, influencing outcomes across teams.
• Provide technical leadership, mentorship, and set architectural direction for data initiatives in a regulated environment.

Protective helps protect customers against life's uncertainties by providing insurance and financial protection. The company has an enterprise-wide impact and emphasizes a culture of technical leadership, collaboration, and employee wellbeing.

• Design, develop, and maintain optimal data pipelines and workflows.
• Provide technical guidance on architecture design and collaborate with Data Engineers for implementation.
• Perform data integration, transformation, and cleaning to create actionable data for the business.

TREND Health Partners is a tech-enabled payment integrity company that facilitates collaboration between payers and providers to reduce waste and improve healthcare access. It is a dynamic, growing organization with a collaborative and innovative work environment.

• Design, build, and maintain scalable data platforms and solutions for business needs.
• Optimize robust data pipelines using Databricks and modern frameworks.
• Manage CI/CD pipelines for automated deployments and act as technical advisor.

Tieto Tech Consulting is a digital accelerator that combines business design with software engineering to drive innovation. With around 280 employees across Austria and Germany, they foster an open, collaborative culture and are part of a global team of 8,000.

• Design and deliver end-to-end data and analytics solutions on Azure for enterprise clients.
• Integrate data sources, build models, and operationalize cloud infrastructure.
• Collaborate with clients to identify business needs and communicate Microsoft's cloud data strategy.

NRI North America is a consulting firm that delivers modern data and analytics solutions for enterprise clients. They offer a collaborative, results-oriented culture with opportunities to work with large clients across North America.

• Drive the technical direction of the ELT and data platform over a multi-quarter horizon, balancing strategic investments and technical debt.
• Author high-quality design documents and provide architectural guidance across the codebase.
• Mentor senior engineers and set standards for code quality, testing, and reliability.

This company operates a mission-driven healthcare data platform that powers critical analytics and product capabilities for complex healthcare operations. It is a remote-first organization with a collaborative culture focused on ownership, innovation, and mutual support.

• Develop and maintain data pipelines using Databricks, PySpark, Python, and SQL to transform raw financial data into reliable, curated datasets.
• Integrate new data sources, support financial reconciliation, P&L routines, and global closing processes, ensuring data consistency and accuracy.
• Collaborate with multidisciplinary teams to deliver high-quality data solutions, support AI initiatives, and implement continuous improvements in data performance and quality.

CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25+ countries, they collaborate to build solutions with real impact.

• Build and maintain data pipelines using Databricks, dbt, Airbyte, and Airflow.
• Contribute to data platform architecture and modeling, delivering trusted datasets.
• 3+ years experience in Data Engineering with strong SQL, Python, and cloud skills.

Ayming is an international consulting firm that supports businesses in digital and technological transformation. The company is expanding its technology, data, and transformation teams in Portugal and fosters a collaborative, innovative work environment.

• Design and drive the execution of a scalable, cloud-native target-state architecture for the data platform.
• Define architectural patterns for scalable automated data ingestion and deliver hands-on proof-of-concepts using SQL, PySpark, and Serverless Python.
• Drive governance, security, and engineering excellence across all platform components, ensuring alignment with business and product strategies.

G-P is a SaaS-based Global Employment Platform that enables clients to expand into over 180 countries. Our diverse, remote-first teams foster innovation and value every contribution, empowering employees with flexibility and resources.

• Translate legacy Databricks notebook logic into modern ELT patterns using Python and PySpark, ensuring data contract preservation and reverse-view strategies.
• Build scalable ingestion pipelines with YAML configurations and orchestrate automated DAG generation via workflow schedulers, applying quality assertions and migration validation.
• Collaborate with business Data Stewards to align dependencies, negotiate refactoring scope, and validate migrated outputs for production systems.

CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of tech transformation experience and over 8,000 CI&Ters in 25+ countries, we accelerate innovation through agentic SDLC, application modernization, Data & AI, martech, and business strategy.

• Design and optimize scalable data platforms, pipelines, and governance frameworks.
• Lead data strategy and collaborate with leadership, engineering, and AI teams.
• Mentor engineers and drive platform modernization with an AI-forward mindset.

Robots & Pencils is an applied AI engineering firm building AI co-workers for enterprise operations. Founded in 2009 with delivery centers in Canada, US, Eastern Europe, and Latin America, the company is a nimble alternative to traditional system integrators with teams averaging 15+ years of experience.

• Design production data pipelines using Databricks Lakeflow, Autoloader, and Structured Streaming with CI/CD.
• Architect Lakehouse solutions including medallion architecture and Unity Catalog for analytics and AI.
• Collaborate with product and backend engineers to design data models and APIs that serve the product.

Livefront helps companies design and build world-class digital products. They have worked with major brands and startups, fostering a culture built on respect, mutual trust, and egoless collaboration.