OLD_Senior Data Engineer

OLD_Senior Data Engineer what you’ll do. Work as part of a team, or independently, to design and develop cloud-based data warehouses, data lakes, data lakehouses, and other data solutions Gather technical requirements, assess client capabilities, and analyze findings to provide suitable recommendations for data solutions and a strategy for their implementation Enhance and support data platforms and collaborate to propose enhancements and optimization processes for SQL, ELT/ETL, and analytical procedures Design and develop scalable data automation frameworks to ingest and transform a variety of data sets Explore, evaluate, and suggest technical approaches to address complex challenges in data development and integration Share expertise and/or develop competency in data automation concepts and techniques Conduct assessments, workshops, design sessions, and project meetings as needed, and execute proof-of-concepts and short-term technical consulting projects Guide and mentor fellow team members in their efforts to develop data engineer skillsets Serve as a subject matter expert in one of the most advanced and innovative data engineering tools available what you’ll bring. Bachelor’s degree in IT, applied mathematics, statistics or other relevant field, or an equivalent combination of education and practical experience 5+ years experience in data engineering/data warehousing, preferably within a consulting environment 2+ years of deep experience building cloud data solutions (Azure, AWS, GCP, Snowflake) Demonstrated expertise in data modeling (3NF, Dimensional, Data Vault, etc.) and data architecture concepts such as metadata, workflow management, ETL/ELT, streaming data, and data quality Proficient in setting up and operating ELT/ETL data pipelines by leveraging cloud-native services (AWS/GCP/Azure), open-source tools (like Airflow and Python), as well as utilizing ETL and data fabric tools. Experience with Data Warehouse Automation is a nice-to-have Deep experience with SQL and ETL/ELT optimization Practical and in-depth knowledge of BI tools to troubleshoot platform issues Working knowledge of agile development including DevOps concepts Self-starter with the ability to work independently or as part of a team Non-negotiable: strong communication skills in Dutch and English what’s your score on this list? more than 6/9? Find out what it’s really like to work for Quest for Knowledge and schedule a quick sparring session with one of our lead consultants (not recruiters). apply now! training guaranteed! Data and analytics never stand still- and neither do we. To keep up with the pace of change, we make learning a constant part of the journey. We’ve always believed in top-notch training, and over the years we’ve brought in some of the best in the field - like Ralph Kimball, Stephen Few, and Mike Ferguson. why quest for knowledge. A truly collaborative culture - you’ll be surrounded by likeminded pros in everything from tech to strategy. We believe in learning together, sharing knowledge, and supporting each other as a team Room to grow - learning never stops here. From personal development roadmaps to expert-led courses, workshops and certifications, we’ll help you keep building your skills and pushing your potential Exciting, varied projects – we work with clients across a mix of industries, which means you’ll get to dive into all kinds of interesting projects that keep things dynamic and engaging. An innovative environment - we’re all about fresh thinking. At Quest for Knowledge, your ideas matter, and we’re here to support creative problem-solving and out-of-the-box thinking every step of the way Flexibility that fits your life – we’re all about balance. With flexible work arrangements, you can shape your schedule in a way that works for you