Are you the person that understands why traditional data warehouses have to change not only to speed up development, improve agility, reduce costs but also to exploit new dataand integrate with other analytical platforms? Cloud data ingestion technologies as well as data lakehouse and data mesh concepts have your interest? Then don’t hesitate to apply for a challenging future in modern data & analytics.

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
  • Sever as a subject matter expert in one of the most advanced and innovative data engineering tools available

What You’ll Bring

  1. Bachelor’s degree in IT, applied mathematics, statistic or other relevant field, or an equivalent combination of education and practical experience
  2. 5+ years experience in data engineering/data warehousing, preferably within a consulting environment
  3. 2+ years of deep experience building cloud data solutions (Azure, AWS, GCP, Snowflake)
  4. 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
  5. 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.
  6. Deep experience with SQL and ETL/ELT optimization
  7. Practical and in-depth knowledge of BI tools to troubleshoot platform issues
  8. Working knowledge of agile development including DevOps concepts
  9. Self-starter with the ability to work independently or as part of a team
  10. Strong problem-solving ability and passion to learn new technologies and analytics techniques

Non-negotiable: strong communication skills in Dutch and English

What’s your score on this list? More than 6/10? Get in touch!

Working at Quest for Knowledge

Every day, since 1999, Quest for Knowledge is working on improving the return on data. We were the first company in Europe to partner with gurus like Ralph Kimball, deploying activities in the UK, the Benelux and Sweden. Today, that attitude is unchanged: we constantly look for best practices and solutions in analytics. This resulted in the mastering and implementation of modern data and analytics architectures. This approach optimizes the return on data assets from the past as well as those from today and the future.

Our consultants practice what we preach: as Quest for Knowledge is focused on closing the knowledge gap that comes with rapid technological developments, we do exactly the same with our new hires. When you choose Quest for Knowledge as your employer, we will analyze your skills and determine a development roadmap with you. Be it technical skills, customer facing skills, or any other aspect of your skill set you may wish to develop. Because working at Quest for Knowledge is also working on your own growth and your future as well as growth for our customers.

If you feel up to the challenge, send your application to people@q4k.com. Tell us briefly why you are interested in this position, along with your CV or a link to your LinkedIn profile.

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