PLocation: Every 6 weeks of remote work, we require one week on-site presence at our office in San Vito dei Normanni (BR), Italy /ppSalary Range: €25,000 - €40,000 /ppIntroduction to Spoki /ppWe are a fast-growing startup, a tech company, and a team of passionate individuals redefining how businesses communicate with their customers. /ppAt Spoki, we are revolutionizing customer engagement by building innovative solutions in Conversational Commerce. Our technology empowers companies to optimize marketing, sales, and support through seamless, efficient, and personalized communications — all via the channel people use and trust the most: WhatsApp. /ppOur mission is clear: help millions of businesses thrive worldwide by delivering exceptional customer experiences powered by advanced technologies, including artificial intelligence. /ppKey responsibilities /pulliData Management Engineering: Design, implement, and maintain pipelines to collect, clean, transform, and store data from multiple sources (PostgreSQL, Firestore, MongoDB, DynamoDB, etc.). /liliData Modeling Transformation: Normalize and structure raw data into analysis-ready models using SQL and transformation frameworks (e.g., dbt) to ensure reliable and scalable datasets. /liliAnalysis Reporting: Provide clear business insights by building dashboards and reports with Excel, Mixpanel, HubSpot, and BI platforms, ensuring metrics are consistent and well-documented. /liliAutomation Scripting: Develop Python scripts and tools to automate repetitive data preparation, validation, and reporting tasks. /liliStakeholder Communication: Translate technical findings into actionable insights for non-technical teams (marketing, sales, customer care). /li /ulpNice to Have /pulliCloud Infrastructure: Experience managing and optimizing workflows in AWS (e.g., S3, Redshift, Glue, Lambda, QuickSight) / GCP, leveraging services for visualization, storage, compute, and analytics. /liliArchitecture Collaboration: Ability to suggest and implement best practices for scalable, maintainable, and collaborative data infrastructure. /li /ulpRequired Qualification /pulliEducation: Degree in Computer Science, Engineering, Statistics, or equivalent practical experience. /liliExperience: 3+ years in a Data Engineer, Analytics Engineer, Data Analyst or similar role. /liliDatabase Skills: Strong knowledge of relational and non-relational databases (PostgreSQL, MongoDB, Firestore, DynamoDB, ...). /liliProgramming: Proficiency in Python for data processing and automation. /liliData Analysis: Experience in data cleaning, normalization, and visualization. /liliCommunication: Ability to explain technical solutions to stakeholders with different backgrounds. /liliData Modeling: Experience designing scalable data models and architectures. /li /ulpWhat We offer /pulliContribute to building a cutting-edge Conversational Commerce platform poised for global expansion. /liliWork with an international, passionate, supportive, young and talented team dedicated to excellence. /liliGear up with the latest Apple MacBook Pro. /liliMeal vouchers to fuel your day. /liliPermanent and full-time contract. /liliRegular team-building events and celebrations. /liliAccess to cutting-edge technologies and resources to stay at the forefront of data engineering and analytics. /liliSalary Range: €25,000 - €40,000 /li /ul