Data Analyst (Python/Spark/SQL) - Hybrid Lisboa (1 day/week office)

ABOUT THE OPPORTUNITY

Join a revolutionary IoT pioneer backed by industry giants including SoftBank, Amazon, Alibaba, Verizon, Qualcomm, and PepsiCo. Founded by the team behind core 5G technology, this company has developed groundbreaking IoT stickers that harvest radio frequency energy to bring connectivity and intelligence to everyday products and packaging. You'll be working with some of the world's largest consumer, retail, food, and pharmaceutical companies as they transform how products are made, distributed, sold, used, and recycled. This is a rare opportunity to be part of commercializing "Sensing as a Service" and enabling "Intelligence for Everyday Things" — with exceptional flexibility (only 1 day/week in Lisboa office) and competitive compensation up to €45,000 annually.

PROJECT & CONTEXT

This role uniquely blends tactical data exploration with solution building — you'll sift through massive amounts of IoT data to discover breakthrough insights that connect cutting-edge technology with customer pain points. You'll participate directly in customer meetings, listening carefully for business problems, then hunting through deployment data to uncover those "Aha!" moments. Once insights are identified, you'll develop visualization interfaces both internally and within customer systems, turning real-time data streams into actionable intelligence. Collaboration is central — you'll work closely with internal product teams, customer stakeholders, and engineers across multiple disciplines (algorithm, software, hardware) to transform discoveries into integrated solutions. Creativity, curiosity, and resilience are essential as you often won't know what you're looking for until you've found it.

WHAT WE'RE LOOKING FOR (Required)

• Bachelor's degree in Mathematics, Computer Science, Data Science/Engineering, or equivalent analytical field
• 4-5 years of relevant professional experience in data analytics or data engineering
• Architecture experience in big data, data warehousing, operational analytics, and integration
• Strong Python programming skills with ability to write efficient, production-quality code
• Deep understanding of statistical analysis and relational database structures (SQL)
• Hands-on experience with visualization tools and UI design: Plotly, Tableau, Power BI, or Grafana
• Proven ability to optimize performance of big data systems and implement efficient analytics algorithms
• Strong analytical and quantitative problem-solving abilities
• Excellent interpersonal and communication skills, comfortable presenting to customers
• Ability to be self-sufficient and execute quickly with autonomy
• Flexible team player who thrives in dynamic, constantly evolving environments
• Strong written and oral communication skills in English (B2 Upper Intermediate minimum)

NICE TO HAVE (Preferred)

• Experience with Apache Spark (strongly preferred)
• Knowledge of time-series databases like InfluxDB
• Experience working with IoT data streams and understanding business context
• Background in real-time data processing and streaming architectures
• Experience building customer-facing analytics solutions
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Understanding of hardware/sensor data and edge computing concepts

Compensation: Up to €45,000 per year

Languages Required: English (B2 Upper Intermediate minimum)

Work Model: Hybrid - 1 day per week in Lisboa office, 4 days remote

Experience Level: Mid to Senior (4-5 years)