Data Engineer

Goodwall (goodwall.io) is a mobile-first platform connecting Gen Z (16-26 year olds) to opportunity. We leverage technology and an ecosystem of purpose-driven partners to empower youth on their journey through the world of education & work to reach their full potential and make society better.

Goodwall has a mission to level the playing field for youth globally and through its social enterprise model it serves over 3  million youth from 150+ countries. We help those who don’t go to branded educational institutions showcase their talent, connect to a supportive community, access free skill building opportunities and connect to jobs, internships and scholarships. 

Goodwall is disrupting how youth access opportunity and are assessed on their potential. Our innovative approach has had us selected most recently as a World Economic Forum Technology Pioneer Company, TIME Magazine Top 100 Education Company, HolonIQ Top 100, and recognition from various media including Fast Company, Forbes 30 under 30, CNN and others. Goodwall has become a strategic partner to Fortune 500s as well as governmental and IOGs such as the UN to make sure no youth is left behind. 

Goodwall is a diverse multicultural team between Europe, Africa and Asia with operations in the US and LATAM. Goodwall is financially and strategically backed by leading investors. Goodwall has raised over $25M in funding from leading strategic and financial backers.

As a social enterprise, Goodwall works through public-private partnerships to unlock the potential of underserved and underprivileged youth globally.

As a Data Engineer your role will be to support the Programs and Product teams in building reliable data pipelines. It is a multi-faceted role that includes understanding the business problem, designing and building data solutions for internal/external stakeholders which accurately reflects application performance as well as visualising the data.

Your responsibilities will include, but are not limited to: 

• Working alongside the different team members and partners to develop and execute complex data engineering solutions to meet the requirements of the different stakeholders.

• Develop, deploy, and manage data pipelines that process large volumes of data for internal and external reporting purposes. Experience with Google Cloud Platform (GCP) data engineering tools such as BigQuery, Cloud Composer and Data Studio is essential.

• Define and apply cleansing rules to the data to ensure meets quality expectations.

• Support the implementation of DevOps practices, including CI/CD pipelines and version control.

• Based on requirements, perform ad-hoc analysis of structured and unstructured data across multiple data sources to inform solution design.

• Document solution designs in Notion.

• Ownership of Work Items and works with data owners / stewards to ensure high quality, aligned deliveries, and compliance with legislation, such as GDPR, e.g. PII vs non-PII, data retention, etc.

What we Offer:

• A mission you can be proud of and a meaningful fulfilling opportunity and responsibility to really impact the future of the next generation.

• To leverage cutting edge technology and work alongside globally leading organisations to achieve outside impact.

• Autonomy to manage your time and efforts to achieve our goals.

• A challenging, fast-moving environment working with an international team where change is constant and creativity is celebrated.

• A growth trajectory within the organisation with the potential to evolve as you acquire new skills, grow, influence and take on new responsibilities. 

• Competitive compensation and a flexible work environment with a great team. 

How to Apply:

Apply on LinkedIn or email your resume/CV to careers@goodwall.io with subject Data Engineer, or through our Careers Page https://goodwall.recruitee.com/ 

Requirements

A hands-on,  do-er who is passionate to deliver excellence with the following attributes: 

• 3+ years of experience in data engineering and some familiarity with data science.

• Knowledge of cloud platforms (AWS, Google Cloud) and their data services.

• Proficient in SQL and Python or similar languages for data engineering as well as Apache Airflow. 

• Strong repositories, CI/CD skills.

• Familiarity with ETL processes.

• Strong analytics and analysis skills in data engineering and data science.

• Excellent written and verbal communication skills

• Highly motivated self-starter with ability to work with Executives, Managers, and individual contributors at all levels.

• Ability to operate in a fast-paced, ever-changing environment which allows you to adapt and deliver results under pressure. A demonstrable track record of getting stuff done whilst managing competing pressures and deadlines and retaining an eye for detail and quality.

• Exceptional problem-solving skills and be able to multitask and manage multiple work streams and problems simultaneously.

• You are genuinely excited and aligned with our mission, demonstrating a strong commitment to making a positive social impact.