• Analysis, Design, implementation, and maintenance pipelines that produce business-critical data reliably and efficiently using cloud technologies. • Develop new ETLs (Extract, Transform, Load), using the current Apache Airflow . • Propose new initiatives to improve performance, scalability, reliability, and overall robustness. • Collect, process, and clean data from different sources using Python & SQL. • Work side by side with the main Architects and Developers to create and ensure best practices and guidelines are being used properly by all projects. • Assess and communicate effectively the effort for required developments. • Discover new data sources to improve new and existing data pipelines. • Be in charge of building and maintaining data pipelines and data models for new and existing projects. • Maintain detailed documentation of your work and changes to support data quality and governance. • Provide feedback and expert points of view as needed to help all data initiatives in the company. • Improve the quality of existing and new data processes (ETL), incorporating statistical process control, and creating alerts when anomalies are received from data sources at every step of the pipeline. • Create benchmark control of execution times for every pipeline, to control and identify potential availability issues.

• Design and implement scalable data architecture and end-to-end ETL/ELT pipelines • Analyze diverse data sources and create high-quality, structured data layers • Lead large-scale data migrations to cloud-based platforms (Azure, AWS, GCP) • Optimize complex SQL queries and database performance • Collaborate with analysts, data scientists, and business stakeholders • Ensure data governance, quality, and regulatory compliance • Mentor junior engineers and promote engineering best practices

• Deploy and manage AI evaluation processes across our infrastructure. • Process and perform comprehensive data analysis to identify trends, inconsistencies, and opportunities for model enhancement. • Build and maintain scalable data pipelines. • Collaborate with cross-functional teams to embed security and compliance considerations into the development lifecycle. • Automate repetitive workflows and implement solutions to improve operational efficiency.

Fractal River is a consulting firm that helps companies scale faster by building robust technical and operational infrastructure. We do this by working hands-on with our clients to build the systems they need to scale, while at the same time transferring knowledge and helping them develop their own internal capabilities. We work with a diverse range of companies—from fast-growing startups to well-established organizations—who need to build or modernize their data and analytics infrastructure. We leverage the right tools and latest technologies to balance technical rigor with flexibility based on our customers' unique needs. Our work spans cloud infrastructure across Amazon, Google, and Microsoft platforms, integrating systems throughout the customer journey including HubSpot, Salesforce, and Zendesk. Beyond infrastructure, we help companies establish strong data foundations: ensuring data quality, implementing governance frameworks, defining metrics that align with business logic, creating centralized data models, and establishing sources of truth. This ensures our clients not only have visibility into their data but can trust the numbers across all reporting layers. We incorporate and leverage AI at all levels of our company: helping clients create AI-centric products, creating and deploying AI agents along their customer journey, implementing AI-based support systems for internal users, and maximizing the use of AI for development processes. We are seeking a Software and Data Engineer to join our team. What you’ll do: Help design and implement data pipelines and analytic infrastructures with the latest technologies. Create and deploy AI tools and agentic infrastructure to enhance both client and internal capabilities. Build data warehouses using tools like dbt, working with platforms such as Snowflake, Redshift, and BigQuery. Create beautiful dashboards and reports, and work with customers to create self-service data exploration capabilities. Build data pipelines and integrations to connect systems, automate processes, and ensure data flows seamlessly across platforms. Leverage APIs from multiple systems to extract and update data, trigger and monitor processes, and in general help tie our customers’ infrastructures into cohesive platforms that power their growth. Maintain and oversee cloud infrastructure to ensure it runs with the reliability and performance our customers expect. Help create data models, establish data governance frameworks, define metrics, and ensure data quality across reporting layers. Develop technical documentation and best practices for our customers. Drive internal improvement initiatives by identifying opportunities for efficiency gains, discovering new best practices, and proposing internal projects that enhance our capabilities and processes. Contribute to our evolving DevOps and DataOps practices, helping shape how we work as we continuously improve. Coordinate projects, activities, and tasks to ensure objectives and key results are met. Identify opportunities, generate innovative solutions, and improve existing product features. Who we are looking for: Our ideal candidate is someone with 1-5 years of working experience in fast-paced environments, a high tolerance for ambiguity, and a passion for constant learning. We’re looking for motivated, highly adaptive people who enjoy the challenge of working with brilliant people in multiple innovative companies to put in place technical infrastructures that power their growth. They must be able to interact with customers and perform not only technical work but also understand needs, extract requirements, and design and propose solutions. English Language Requirements: CEFR level C1 (Advanced) means you can: Understand a wide range of demanding, longer texts and recognize implicit meaning Express yourself fluently and spontaneously without much obvious searching for expressions Use language flexibly and effectively for social, academic, and professional purposes Produce clear, well-structured, detailed text on complex subjects Nice-to-have's (not required): Familiarity with data warehouses like Snowflake, Redshift, or BigQuery Experience with data modeling, data governance, and creating complex visualizations Experience with BI tools such as Looker, Sigma, or Power BI AWS/GCP/Azure services knowledge Experience with development tools such as Terraform, Docker, CircleCI, and dbt Certifications (AWS, Google Professional Data Engineer, etc.) Knowledge of Google Analytics, Salesforce, HubSpot, and/or Zendesk Comfort working in non-hierarchical, diverse work environments Bachelor’s degree in computer science or similar field Besides the benefits that, as per law, you are entitled to, we offer: Personal development plan with an accelerated career track. Access to an extensive reference library of books, case studies, and best practices. Unlimited access to AI tools (ChatGPT, Claude, Gemini, etc.) Unlimited budget for work-related books. Online training (Udemy, nanodegrees, etc.), English language training. Stretch assignments, pair programming, and code reviews with new technologies. Yearly performance bonus based on personal performance. Yearly success bonus based on company performance. Home office setup including fast internet, large monitor, and your favorite keyboard and mouse. After a few months, gaming chair, espresso maker, standing desk, and speakers (or other items like these). Monthly wellness budget to cover items such as sodas, tea, snacks, pet care, yoga, or other wellness-related items. Company card for wellness budget and company expenses. Three floating holidays and unlimited (but reasonable) PTO starting the first year. Fun company off-sites! We are proud to be an equal opportunity employer.