🇨🇿 Prague, Czechia · 2h ago
Senior Data Engineer
Avenga Water Well Service, LLC
LinkedInseniorEnglish-friendly
Prague HybridSenior Data EngineerInnovate what matters, where it mattersThis is usAt Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.This is the jobAvenga is looking for a skilled Senior Data Engineer to join our team on a long-term engagement. As a Senior Data Engineer, you will bring strong hands-on Databricks expertise to help design robust architecture and engineering patterns, support data governance, and provide practical guidance across orchestration, DevOps, and data quality. You will work closely with cross-functional teams to structure workloads, define standards, and ensure our data solutions are reliable, scalable, and aligned with best practices. This is youStrong hands-on Databricks experience in real delivery environmentsPractical experience with Airflow orchestration in combination with DatabricksStrong CI/CD experience for Databricks, including Git-based development, testing, deployment automation, operationsExperience with data quality / monitoring / DQ frameworks, ideally in Databricks or similar modern data platforms.Ability to provide practical recommendations, alternatives, and consequences of choicesAbility to work in a supporting, collaborative modeThis is your roleDefine Databricks architecture and engineering patterns, providing practical guidance on how to structure workloads, delivery patterns, standards, and reusable technical approaches in Databricks.Support governance and the data management lifecycle, including metadata management, tagging, dictionaries, catalogs, and Unity Catalog setup and native options.Help evaluate data quality / DQMS approaches, including native Databricks monitoring/profiling capabilities, process implications, and possible hybrid approaches.Provide advice on orchestration options and trade-offs, including how Airflow can be used with Databricks jobs, along with best practices and standards.Support the definition of practical DevOps approaches in terms of CI/CD, metadata/template-driven approach, monitoring and operations, and connection to dictionaries and catalogs (including tools).Help define basic standards and conventions, such as naming conventions, repository structure, deployment principles, and selected governance guardrails.At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.Locations Prague Remote status Hybrid Technology Data Engineering Seniority Senior-levelYour way in starts hereAPPLICATIONSend us your application, we are ready to hear your story and explore how we can grow together.REVIEWOur team carefully reviews every application with curiosity and care. If your profile isn’t the right fit today, we will keep it in mind for future opportunities that match your skills and ambitions.TALENT ACQUISITION INTERVIEWYou will meet our Talent team to talk about your goals and learn more about who we are, what we offer, and how we support our people.TECHNICAL INTERVIEWOur tech interview is all about diving deeper into your expertise and understanding your strengths, how you solve problems, and how you think – no trick questions, just a meaningful conversation.CUSTOMER INTERVIEWFor some roles, especially when our clients are closely involved, you might also have a conversation with them – it’s a chance for everyone to align and get to know each other better.JOB OFFERIf we both feel it’s the right match, we will send you an offer to join us. And even if it’s not the time just yet, you’ll always hear back from us.WELCOME!Your new team is excited to meet you, support you, and build something great together. Let’s make your first day the start of a journey that shapes a career that matters.jobs--overlay#unobserveClickOutside common--modal:closed->jobs--overlay#observeClickOutside " data-jobs--overlay-overlay-value="false" data-jobs--overlay-overlay-class="!fixed flex flex-col inset-0 rounded-t-6 shadow-job-form-overlay z-career-job-application-form-overlay" data-jobs--overlay-minimize-button-hidden-class="hidden" data-careersite--jobs--form-overlay-target="form" style="--topOffset: 40px; --overlayDuration: 300ms;">Prague HybridSenior Data EngineerInnovate what matters, where it mattersLoading application formThis is usAt Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.This is the jobAvenga is looking for a skilled Senior Data Engineer to join our team on a long-term engagement. As a Senior Data Engineer, you will bring strong hands-on Databricks expertise to help design robust architecture and engineering patterns, support data governance, and provide practical guidance across orchestration, DevOps, and data quality. You will work closely with cross-functional teams to structure workloads, define standards, and ensure our data solutions are reliable, scalable, and aligned with best practices. This is youStrong hands-on Databricks experience in real delivery environmentsPractical experience with Airflow orchestration in combination with DatabricksStrong CI/CD experience for Databricks, including Git-based development, testing, deployment automation, operationsExperience with data quality / monitoring / DQ frameworks, ideally in Databricks or similar modern data platforms.Ability to provide practical recommendations, alternatives, and consequences of choicesAbility to work in a supporting, collaborative modeThis is your roleDefine Databricks architecture and engineering patterns, providing practical guidance on how to structure workloads, delivery patterns, standards, and reusable technical approaches in Databricks.Support governance and the data management lifecycle, including metadata management, tagging, dictionaries, catalogs, and Unity Catalog setup and native options.Help evaluate data quality / DQMS approaches, including native Databricks monitoring/profiling capabilities, process implications, and possible hybrid approaches.Provide advice on orchestration options and trade-offs, including how Airflow can be used with Databricks jobs, along with best practices and standards.Support the definition of practical DevOps approaches in terms of CI/CD, metadata/template-driven approach, monitoring and operations, and connection to dictionaries and catalogs (including tools).Help define basic standards and conventions, such as naming conventions, repository structure, deployment principles, and selected governance guardrails.At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.Send us your application, we are ready to hear your story and explore how we can grow together.Our team carefully reviewSourced from LinkedIn. Relocantly aggregates public job postings; apply on the original site.