Data Engineer, Lengow

• This role is perfect for those who thrive on tackling technical challenges while delivering measurable business impact (because tech exists to drive business value!)
• Proven experience (3+ years) in data engineering or a similar role in a SaaS or e-commerce-focused organization.
• Skilled in coding, data modeling and design, and aligning technical solutions with business goals
• A natural and kind communicator who fosters teamwork and inspires those around them
• A proactive, autonomous and flexible professional. Working in a small team can mean juggling with roles of Data Analyst, Data Engineer, etc
• Experience with SQL, BigQuery, Google Cloud, ETL/ELT tools (e.g., Talend, Apache NiFi), and data visualization tools (e.g., Looker Studio)
• You are business fluent in English (any other language is a plus; we mainly speak English, Spanish, Catalan, French, and Italian in our offices)

Desirable

• The Data team (currently 3 members) plays a critical role in supporting both our internal operations and external data offerings across our 4 core products: NetMarkets, NetAmplify, NetRivals, and NetMonitor
• Empowering internal teams with data-driven decision-making tools, including dashboards, analyses, and reports
• Delivering scalable, and easily maintainable custom data products - such as dashboards and custom analyses - tailored to meet client needs
• Guiding product development by providing actionable insights and data-driven features
• We value your ideas and encourage you to propose and lead technical improvements and impactful projects
• As a Senior Data Engineer on our newly formed team, you’ll work with vast datasets - thousands of catalogs, millions of products, and billions of entries from e-commerce websites
• Your mission: unlock the full potential of this data to create value for Europe’s leading e-commerce players
• Technical guidance: lead the evolution of our data transformation, including improving the data model and optimizing data tools
• Custom data products: in the short term (6-9 months), support and enhance the custom data products we currently offer clients, involving both data engineering and analytics tasks
• Technical project management: propose and deliver key technical projects from our data roadmap, such as improving the data stack, refining data models, or developing scalable frameworks for client data products (after you get familiar with them in your first months)
• Collaboration: partner with cross-functional teams, including Product and Commercial, to define and implement high-quality, impactful solutions
• We highly value your ideas and welcome recommendations on tools and technologies to amplify our business impact!
• Flexible work schedule: Monday-Thursday, 9 am-6 pm; Fridays, 9 am-3 pm. Start between 8-10 am with adjusted end times

• Pre-interview: Chat with Alexandre, Talent Acquisition Manager (30')
• Team interview: Meet Edoardo (Data Team Manager) and team members (60'). If you make it to the next phase, you'll have around 7 days to prepare a technical case presentation
• Final interview: Present a technical case to Edoardo and Olivier (Chief Product and Technology Officer) (60')