Allata

Data Engineer

• Design, develop, and maintain scalable data pipelines using Azure Data Factory, SQL, and Python.
• Build and optimize ETL/ELT processes across Microsoft-based cloud data platforms.
• Work with Microsoft Fabric to support modern analytics and data engineering workflows.
• Develop and maintain data models and transformation logic to support reporting and analytics needs.
• Collaborate with analysts, business stakeholders, and technical teams to translate business requirements into technical solutions.
• Support Power BI reporting needs by enabling clean, reliable, and well-structured datasets.
• Ensure data quality, consistency, and performance across ingestion, transformation, and reporting layers.
• Monitor and optimize workflows for reliability, scalability, and maintainability.
• Contribute to CI/CD, deployment, and operational best practices within the Microsoft ecosystem.
• Support data governance, documentation, and process improvement efforts.

Data Engineer, Azure, SQL

SDET

• Partner with an existing SDET to drive testing efforts toward a near-term go-live
• Build and maintain automated test coverage using Playwright and TypeScript
• Support performance and regression testing (JMeter)
• Act as a Quality Champion, defining test scope and clearly articulating risks
• Collaborate with engineering and product teams in an Agile environment (Azure DevOps)
• Gain deep understanding of the application, data, and domain
• Work independently in a lean QA setup (2 SDETs, no QA management layer)

Software Engineer in Test Manager

• Lead data architecture transformations and/or migration to modern cloud solutions, ensuring robustness and scalability of the soltuion.
• Design and implement Virtual Cloud solutions including virtual network and management of network routings and subnets.
• Design efficient, scalable ETL/ELT pipelines that streamline data processing and integration. Experience with integrating data across disparate systems using APIs and data integration tools
• Design scalable, high-performance data models and databases, including Medallion Data Warehouse architecture, Data Lakehouses, dimensión modelling (Star and/or Snowflake schemas), and other relevant design patterns.
• Manage one or more Data projects, owning the end-to-end execution and owning responsibilty of the outcomes
• Lead cross-functional teams to deliver on client goals, providing technical guidance and ensuring alignment with best practices.
• Engage with clients and stakeholders to understand business goals, provide technical expertise, and deliver tailored solutions.
• Ensure all designed solutions meet the highest standards of quality, performance cost-effectiveness, and access policy management.
• Stay updated with emerging industry trends and technologies, integrating them into solutions to provide added value to clients.

Data Architect, Azure

Backend Engineer

• Design, develop, and maintain scalable software solutions for a Data Management Platform
• Contribute to both backend and frontend development efforts
• Collaborate with team members and client stakeholders to define technical solutions aligned with business requirements
• Write clean, maintainable, and well-tested code following best engineering practices
• Participate in code reviews, technical discussions, and continuous improvement initiatives
• Support CI/CD pipelines and cloud deployments
• Ensure quality through automated testing and a strong focus on reliability and performance

FullStack Developer, Java, Angular

• Lead and support engineering teams working on modern data pipelines and data platform solutions.
• Provide technical direction and help shape architecture, delivery, and execution within data-focused initiatives.
• Partner with engineers, architects, analysts, product owners, and business stakeholders to align technical delivery with business goals.
• Drive planning, prioritization, and execution across projects, ensuring predictable delivery and high-quality outcomes.
• Foster strong engineering practices, including code quality, testing, scalability, and operational excellence.
• Support the adoption of software engineering best practices in data-focused environments.
• Coach and mentor team members, helping them grow technically and professionally.
• Contribute to building a collaborative, accountable, and high-performing team culture.
• Help ensure data solutions are reliable, scalable, and ready for analytics and business consumption.
• Support initiatives that enable reporting, analytics, and data-driven decision-making.

Software Manager – Data Engineering

• Design, build, and support modern data pipelines and data platform solutions
• Work with structured and semi-structured data in scalable cloud-based environments
• Collaborate with engineers, analysts, architects, and business stakeholders
• Help ensure data is reliable, scalable, and ready for analytics and business consumption
• Apply software engineering best practices to data-focused solutions
• Contribute to projects that support reporting, analytics, and data-driven decision-making

Data Engineer, Azure, SQL

Software Engineer in Test Manager

Data Architect, Azure

FullStack Developer, Java, Angular

Software Manager – Data Engineering

Senior Software Engineer – Transition into Data Engineering