Data Quality Engineer/Specialist
Who We Are - About NewGlobe
NewGlobe is working with visionary governments around the world to dramatically improve the quality of basic education. Founded in 2007, we partner with governments to provide integrated school management, teacher professional development, instructional design innovation, technological system support, child-centered classroom practice, and parent engagement -- all grounded in learning science -- to ensure each teacher is empowered to engage children in transformational learning, Our data-driven approach has been validated by a Nobel-winning researcher and recognition by international leaders in Education. We imagine a world where all children can access an education that unlocks their full potential.
We need bright minds who want to be part of building a new globe -- a more equitable globe -- to join us. More information: newglobe.education
Technology Group
Technology plays a critical role enabling us to provide transformative education at massive scale in highly resource constrained environments. This is one of the key elements that gives us the ability to deliver radically impactful programmes, creating brighter futures for a generation of children across the world each day. Technology spans several key functions, including product management, business intelligence, software development and IT operations.
Working with us, passionate technologists have a chance to directly change the world. No kidding.
About the Role
We are looking for a full time Data Quality Engineer to join our new Amsterdam data team, which will build the new data platform that powers and improves our portfolio of educational tools. In this role, you will provide expertise in the analysis, monitoring and improvement of data quality to ensure data complies with established business rules. The key to the DQ role on our team is being a divergent thinker with a curious mind - a collaborator with developers in building great data and tools, not an adversary, nor an order taker.
If you’re looking to be a gatekeeper, NewGlobe will not be right for you. If you’re looking to get a perfect set of requirements handed to you, NewGlobe will not be right for you. On the other hand, if you’re all about being an enabler of teams, curiosity and innovation, and more than anything, about automation and repeatability, then NewGlobe might just be your next gig.
You will report to our data engineering team lead.
What You Will Do
- Collaborate with team members and business stakeholders to define acceptance criteria for data product development, including participation in the design and estimation of new data products to ensure that testing and quality are not an afterthought.
- Create and execute testing and quality-check plans that include an appropriate combination of manual and automated testing and quality pipelines, carefully reporting issues using structured tools and standards.
- Establish and oversee the end-to-end data quality journey covering all four data quality phases (design, implement, monitor, improve) within specific domains.
- Advocate for a culture of automation and repeatability - and then get your hands dirty to make it a reality.
- Create data quality reports, translate data requirements into data quality rules and perform root-cause analysis of data quality issues.
- Follow testing best practices to ensure the functional correctness, usability, interoperability, and security of NewGlobe data products.
- Work closely with data owners, data users and IT stakeholders to ensure handshakes and gather their data quality requirements and specifications for new data quality controls and dashboards, translating them into data quality rules.
- Deliver and manage automated testing tools for the constantly evolving needs of the data platform.
- Integrate automated testing tools into build quality pipelines to promote a culture of continuous delivery.
- Participate in the design, rollout, and use of monitoring tools in order to identify and resolve issues and ensure continuous integration of data into warehouses.
What You Should Have
- Bachelor's degree in Computer Science or a related degree, with strong academic performance.
- At least 4 years of hands-on experience in BI testing (ETL, reporting).
- Knowledge of SQL, Python, and other database scripting techniques.
- Passion for the power of Business Intelligence to impact core business operations.
- A quick mind, a willingness to learn, and a deep-seated curiosity.
- Interested in learning, along with the team as our data grows exponentially, about Big Data solutions (a few examples of technologies we will be using: ClickHouse, Airbyte, DBT).
- Functional understanding of data warehouse design and dimension modeling (star schemas, snowflakes, etc).
- Working knowledge of ETL processes.
- Familiarity with version control; exposure to continuous delivery and automated testing a plus.
- Experience or interest in results-driven, lean/agile environments.
- Ability to prioritize and execute tasks in a fast paced and demanding environment.
- Good communication skills.
What We Offer
- The opportunity to make a difference for children every day at a proven, internationally recognized, mission-driven company.
- Flexible hybrid working arrangement.
- Take the lead and help us grow our data engineering team.
- The opportunity to work on challenging and innovative projects.
Values of Successful Employees at NewGlobe
We are looking for new joiners who are energized by our mission and share our values.
Detailed doers, creative problem-solvers, relentless advocates, malleable learners, data-driven decision-makers and curious investigators do well at NewGlobe. Learn more about our values and how to succeed as a job-seeker at NewGlobe on our LinkedIn page.
What to Expect from the Interview Process
We have a rigorous, merit based hiring process. The process is designed to simulate the essential parts of the job and introduce you to your role in the business should you join our team. Apply via our website.
We will never ask for payment as part of the interview process and we are committed to a fair process free of discrimination based on gender, race, ethnicity, citizenship or disability
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