About The UX Design Institute
UX Design Institute is the global leader in online UX education and certification. We help
individuals and teams throughout the world become better UX professionals. Were looking for
ambitious people to help us achieve our next stage of growth.
Job Overview:
We are looking for a mid-level Data Engineer with solid data analysis skills to join our team.
Reporting directly to the Chief Marketing Officer, the candidate will play a crucial role in
managing and optimising our data systems, building reports and dashboards, and providing
accurate data to guide strategic decisions.
About the role:
Data Pipeline Development and Maintenance:
Design, develop, and maintain data pipelines that extract, transform, and load (ETL)
data from various sources to ensure data quality and integrity.
Facilitate smooth data integration via data connectors and 3rd party APIs from diverse
sources, including e-commerce platform, CRM, advertising platforms and more
Data Quality Management:
Implement and maintain systems to monitor and ensure data quality, integrity, and
accuracy
Identify and resolve data accuracy and integrity issues promptly
Improve performance and usability of current data systems
Steer the direction of the companys continually evolving data strategy, identifying
opportunity areas for growth and improvement, to ensure we are fully harnessing the
potential of our data
Data Presentation and Visualisation:
Develop, maintain, and optimise dashboards and reports in Tableau and HubSpot,
providing clear visibility into key business metrics
Analyse and interpret data to inform strategic decisions for the business
Respond to ad hoc data requests from the CMO and other members of the leadership
team
Cross-Functional Collaboration:
Work closely with various teams to understand data requirements and deliver tailored
data solutions
Communicate solution proposals clearly and succinctly to stakeholders
Offer technical support and expertise in data-related matters to team members
About you:
Bachelors degree in Computer Science, Engineering, or related field
5+ years of experience in data engineering and analysis
Proficiency in the following areas:
Data connector: Fivetran
Data Warehouse: Google BigQuery
Data visualisation and Business Intelligence: Tableau, Google Looker Studio
Programming Languages: Python, SQL
Strong analytical, problem-solving, and communication skills
Ability to work collaboratively in a team environment
Employee benefits:
Attractive salary package
Flexible working schedule
20 days of annual leave (prorated), plus additional time off at Christmas
Quarterly bonuses of 10%, contingent on revenue goals
We will provide laptop and other tools necessary for the job
Must haves and remuneration:
The key here is familiarity with our tech stack.
Proficiency in the following areas:
- Data connector: Fivetran
- Data Warehouse: Google BigQuery
- Data visualisation and Business Intelligence: Tableau, Google Looker Studio
- Programming Languages: Python, SQL