Data Engineer, Sharpist

• 2+ years of experience in data engineering, analytics, or a related technical role
• Advanced SQL skills with experience querying and managing large datasets
• Strong Python proficiency, particularly with pandas and data manipulation libraries
• Data visualization experience using tools like Looker, Tableau, or Power BI
• Hands-on experience building and maintaining data warehouses, ideally with DBT
• BigQuery experience or similar cloud data warehouse platforms
• Fluency in English

Desirable

• As a Data Engineer (f/m/x), you will have a true impact in changing how companies train and develop the next generation of employees across the globe
• You will play a key role contributing to data-driven product development and business intelligence, and you will primarily be responsible for empowering the product team to make informed decisions and validate development outcomes through insightful data analysis, robust data pipelines, and compelling visualizations
• You do this supporting their strategic initiatives and employee development initiatives by using Sharpist's unique approach primed with digital coaching cemented by a strong learner experience fuelled by our Sharpist app
• This means you get to work with some of the most exciting brands in DACH and globally, including names such as IKEA, LVMH or GetYourGuide
• Partnering with the product team to brainstorm valuable insights, build corresponding data pipelines within our data warehouse, and visualize results through Looker Studio or Jupyter notebooks
• Supporting the development of our AI Coach Agent through LLM Evaluations and LLM Ops tasks
• Managing and optimizing our Python-based coach matching algorithm that intelligently pairs learners with coaches based on performance and other key factors
• Presenting data-driven insights to stakeholders across the organization
• Assisting cross-functional teams with data requests and analysis
• Within 1 month, you will…
• Get familiar with our data infrastructure, including our data warehouse, key data sources, and existing dashboards
• Understand Sharpist's product, business model, and the critical metrics that drive our success
• Meet with key stakeholders across product, engineering, and business teams to understand their data needs
• Complete your first data request and deliver initial insights to the product team
• Within 1 quarter, you will…
• Build and deploy multiple data pipelines to support ongoing product initiatives
• Create compelling visualizations and dashboards that enable teams to self-serve insights
• Contribute to improvements in our coach matching algorithm based on performance data
• Support at least one AI Coach Agent project through LLM evaluation or optimization
• Present your first major data analysis to product leadership with actionable recommendations
• Within 1 year, you will…
• Become the go-to expert for product analytics, proactively identifying opportunities for product improvements through data
• Own key components of our data infrastructure and continuously optimize for performance and reliability
• Lead significant enhancements to the coach matching algorithm, demonstrating measurable improvements in matching quality
• Play a central role in AI Coach Agent development, establishing best practices for LLM evaluation and monitoring
• Drive data literacy across the organization, empowering teams to make better data-informed decisions
• And then, what's next?
• Shape the data team's growth by potentially hiring and mentoring junior data professionals
• Expand into more advanced machine learning projects that directly impact product innovation
• Lead strategic data initiatives that unlock new business opportunities and revenue streams
• Become a thought leader in ed-tech data science, particularly in coaching effectiveness and AI-powered learning