Dynatrace provides software intelligence to simplify cloud complexity and accelerate digital transformation. With automatic and intelligent observability at scale, our all-in-one platform delivers precise answers about the performance and security of applications, the underlying infrastructure, and the experience of all users to enable organizations to innovate faster, collaborate more efficiently, and deliver more value with dramatically less effort. That’s why many of the world’s largest organizations trust Dynatrace®️ to modernize and automate cloud operations, release better software faster, and deliver unrivalled digital experiences. Job Description:Our Business Intelligence R&D team in D1 is looking for an experienced for a Senior Data Engineer to design and build data pipelines that ingest, transform, and serve data from an observability platform into analytics, applications, and data science workflows. This role sits at the intersection of telemetry data, analytical platforms, and product data consumption. You will work closely with application teams, data scientists, and platform engineers to ensure data is reliable, well modeled, and ready to be used across multiple purposes, from near real time insights to exploratory analysis and reporting. - Use state-of-the-art technologies to acquire, ingest, store, and transform big datasets from multiple sources. - Understand business requirements and translate them into proper database modelling. - Maintain and improve solutions in production. - Manage scalability, error recovery, monitoring, alerting and security. - Develop functional and unit tests in the deployment pipeline. - Create and manage conceptual, logical, and physical data models. Your Qualifications: Minimum skillset: - At least five years of experience in Data Engineering (ideally applied to BI systems). - Strong proficiency in SQL and Python, with experience building and operating production data pipelines. - Proven ability to optimize data pipelines supporting real‑time or client‑facing applications (dashboards, reporting, or data‑driven features). - Be comfortable operating in crossfunctional environments and translating business or product needs into concrete data structures. Desriable skillset: - Ability to deal with ambiguity, prioritize effectively, and deliver results in a dynamic environment. - Degree in Engineering, Computer Science, Mathematics, or another quantitative field. - Hands‑on experience with modern analytics platforms, such as Snowflake (data modeling, transformations, performance tuning). - Experience supporting analytics, data science, or data driven applications through SQL, notebooks, or programmatic data access. Why you’ll love being a Dynatracer: - A one-product software company creating real value for the largest enterprises and millions of end customers globally, striving for a world where software works perfectly - Working with the latest technologies and at the forefront of innovation in tech on scale, but also in other areas like marketing, design, or research - Working models that offer you the flexibility you need, ranging from full remote options to hybrid ones combining home and in-office work - A team that thinks outside the box, welcomes unconventional ideas, and pushes boundaries - An environment that fosters innovation enables creative collaboration and allows you to grow - A globally unique and tailor-made career development program recognizing your potential, promoting your strengths, and supporting you in achieving your career goals - A truly international mindset with Dynatracers from different countries and cultures all over the world and English as the corporate language that connects us all - A culture that is being shaped by our global team’s diverse personalities, expertise, and backgrounds

Role Description We are hiring an Entry-Level Data Entry Specialist to join our remote team. This part-time role is ideal for individuals seeking flexible, work-from-home employment with benefits and long-term growth potential. You will be responsible for entering, updating, and maintaining accurate information in company systems and ensuring data quality and consistency. No prior experience is required—training is provided. - Input and update data into internal systems, databases, and spreadsheets - Review data for accuracy, completeness, and errors - Maintain organized digital records and files - Perform routine data cleanup and verification tasks - Assist with updating client, customer, or operational information - Communicate issues or inconsistencies to team leads - Follow data privacy and confidentiality guidelines - Support general administrative data tasks as needed Qualifications - High school diploma or equivalent - Basic computer skills (Microsoft Excel, Google Sheets, email, internet navigation) - Strong attention to detail and accuracy - Ability to work independently and follow instructions - Good written communication skills - Reliable internet connection and computer/laptop - No previous data entry experience required. Training provided. Requirements - High school diploma or equivalent - Basic computer skills (Microsoft Excel, Google Sheets, email, internet navigation) - Strong attention to detail and accuracy - Ability to work independently and follow instructions - Good written communication skills - Reliable internet connection and computer/laptop - No previous data entry experience required. Training provided. Benefits - Remote work (work from home) - Health insurance (medical, dental, and vision options, eligibility-based) - Life insurance coverage (employer-sponsored or optional plans) - Paid training and onboarding - Paid time off (PTO) and sick leave (eligibility-based) - Performance bonuses and incentives - Retirement plan options (e.g., 401(k), eligibility-based) - Employee assistance and wellness programs - Career advancement opportunities into administrative or analyst roles - Access to professional development and online training resources

🟢 We’re expanding our team and opening new remote opportunities! Review the role expectations, share your resume in English, and our team will follow up shortly. We invite a Senior Data Engineer to join our team. In this role, you’ll leverage your expertise to design and maintain data transformation pipelines, manage databases and cloud infrastructure, and ensure data is accessible and efficiently processed. You’ll focus on performance, scalability, and security, allowing our data systems to handle growth and operate reliably in production. 🟩 What's in it for you: - Join a dynamic global tech company delivering digital merchandising solutions across 50+ markets - Work hands-on with modern data engineering tools (Snowflake, dbt, Airflow/Dagster, AWS, SQL, Node.js, and React.js/TypeScript) - Collaborate with DevOps, developers, and QA teams to solve complex data challenges and deliver high-quality, reliable data systems ✅ Is that you? - 3-5+ years of experience in a Data Engineer role - Expertise in Snowflake architecture, performance tuning, and data modeling - Proficiency in dbt for modular data modeling, transformations, testing, and documentation - Experience building scalable ELT pipelines in AWS - Strong knowledge of data orchestration tools (Airflow, Dagster, Prefect, or similar) - Strong SQL skills for data transformation and analysis - Innovative mindset with the ability to implement creative solutions to complex problems - High attention to detail to ensure accurate data models, transformations, and pipelines - Strong communication skills across technical and non-technical audiences - Adaptability and effective time management skills - Upper-Intermediate+ English level Desirable: - Bachelor’s degree in Computer Science or equivalent certifications - Full-stack development experience (TypeScript, React.js, JavaScript, Node.js, Express.js) - Experience with CMS development or digital signage solutions - Advanced knowledge of cloud security best practices - Experience in cross-functional teams with developers and QA 🧩Key responsibilities and your contribution In this role, you’ll collaborate closely with the product team to document business needs and transform them into clear, actionable technical requirements. - Build and maintain scalable ELT pipelines for reliable data ingestion, transformation, and delivery - Design, optimize, and manage data models in Snowflake for performance, scalability, and clarity - Create and maintain DAGs to define pipeline tasks, dependencies, and schedules for automated workflows - Collaborate with DevOps to configure and manage AWS infrastructure supporting data storage, pipelines, and transformations - Monitor pipelines to resolve failures and improve stability and data quality - Document pipelines, DAGs, and models to support onboarding and knowledge sharing 🎾 What's working at Dev.Pro like? Dev.Pro is a global company that's been building great software since 2011. Our team values fairness, high standards, openness, and inclusivity for everyone — no matter your background 🌐 We are 99.9% remote — you can work from anywhere in the world 🌴 Get 30 paid days off per year to use however you like — vacations, holidays, or personal time ✔️ 5 paid sick days, up to 60 days of medical leave, and up to 6 paid days off per year for major family events like weddings, funerals, or the birth of a child ⚡️ Partially covered health insurance after the probation, plus a wellness bonus for gym memberships, sports nutrition, and similar needs after 6 months 💵 We pay in U.S. dollars and cover all approved overtime 📓 Join English lessons and Dev.Pro University programs, and take part in fun online activities and team-building events Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Client interview — ✅ Offer Interested? Find out more: 📋How we work 💻 LinkedIn Page 📈 Our website 💻IG Page

🟢 We’re expanding our team and opening new remote opportunities! Review the role expectations, share your resume in English, and our team will follow up shortly. We invite a Senior Data Engineer to join our team. In this role, you’ll leverage your expertise to design and maintain data transformation pipelines, manage databases and cloud infrastructure, and ensure data is accessible and efficiently processed. You’ll focus on performance, scalability, and security, allowing our data systems to handle growth and operate reliably in production. 🟩 What's in it for you: - Join a dynamic global tech company delivering digital merchandising solutions across 50+ markets - Work hands-on with modern data engineering tools (Snowflake, dbt, Airflow/Dagster, AWS, SQL, Node.js, and React.js/TypeScript) - Collaborate with DevOps, developers, and QA teams to solve complex data challenges and deliver high-quality, reliable data systems ✅ Is that you? - 3-5+ years of experience in a Data Engineer role - Expertise in Snowflake architecture, performance tuning, and data modeling - Proficiency in dbt for modular data modeling, transformations, testing, and documentation - Experience building scalable ELT pipelines in AWS - Strong knowledge of data orchestration tools (Airflow, Dagster, Prefect, or similar) - Strong SQL skills for data transformation and analysis - Innovative mindset with the ability to implement creative solutions to complex problems - High attention to detail to ensure accurate data models, transformations, and pipelines - Strong communication skills across technical and non-technical audiences - Adaptability and effective time management skills - Upper-Intermediate+ English level Desirable: - Bachelor’s degree in Computer Science or equivalent certifications - Full-stack development experience (TypeScript, React.js, JavaScript, Node.js, Express.js) - Experience with CMS development or digital signage solutions - Advanced knowledge of cloud security best practices - Experience in cross-functional teams with developers and QA 🧩Key responsibilities and your contribution In this role, you’ll collaborate closely with the product team to document business needs and transform them into clear, actionable technical requirements. - Build and maintain scalable ELT pipelines for reliable data ingestion, transformation, and delivery - Design, optimize, and manage data models in Snowflake for performance, scalability, and clarity - Create and maintain DAGs to define pipeline tasks, dependencies, and schedules for automated workflows - Collaborate with DevOps to configure and manage AWS infrastructure supporting data storage, pipelines, and transformations - Monitor pipelines to resolve failures and improve stability and data quality - Document pipelines, DAGs, and models to support onboarding and knowledge sharing 🎾 What's working at Dev.Pro like? Dev.Pro is a global company that's been building great software since 2011. Our team values fairness, high standards, openness, and inclusivity for everyone — no matter your background 🌐 We are 99.9% remote — you can work from anywhere in the world 🌴 Get 30 paid days off per year to use however you like — vacations, holidays, or personal time ✔️ 5 paid sick days, up to 60 days of medical leave, and up to 6 paid days off per year for major family events like weddings, funerals, or the birth of a child ⚡️ Partially covered health insurance after the probation, plus a wellness bonus for gym memberships, sports nutrition, and similar needs after 6 months 💵 We pay in U.S. dollars and cover all approved overtime 📓 Join English lessons and Dev.Pro University programs, and take part in fun online activities and team-building events Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Client interview — ✅ Offer Interested? Find out more: 📋How we work 💻 LinkedIn Page 📈 Our website 💻IG Page