Data Engineer

Location: Every 6 weeks of remote work, we require one week on-site presence at our office in San Vito dei Normanni (BR), Italy

Salary Range: €25,000 - €40,000

Introduction to Spoki

We are a fast-growing startup, a tech company, and a team of passionate individuals redefining how businesses communicate with their customers.

At 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.

Our mission is clear: help millions of businesses thrive worldwide by delivering exceptional customer experiences powered by advanced technologies, including artificial intelligence.

Key responsibilities

• Data Management & Engineering: Design, implement, and maintain pipelines to collect, clean, transform, and store data from multiple sources (PostgreSQL, Firestore, MongoDB, DynamoDB, etc.).
• Data 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.
• Analysis & Reporting: Provide clear business insights by building dashboards and reports with Excel, Mixpanel, HubSpot, and BI platforms, ensuring metrics are consistent and well-documented.
• Automation & Scripting: Develop Python scripts and tools to automate repetitive data preparation, validation, and reporting tasks.
• Stakeholder Communication: Translate technical findings into actionable insights for non-technical teams (marketing, sales, customer care).

Nice to Have

• Cloud & Infrastructure: Experience managing and optimizing workflows in AWS (e.g., S3, Redshift, Glue, Lambda, QuickSight) / GCP, leveraging services for visualization, storage, compute, and analytics.
• Architecture & Collaboration: Ability to suggest and implement best practices for scalable, maintainable, and collaborative data infrastructure.

Required Qualification

• Education: Degree in Computer Science, Engineering, Statistics, or equivalent practical experience.
• Experience: 3+ years in a Data Engineer, Analytics Engineer, Data Analyst or similar role.
• Database Skills: Strong knowledge of relational and non-relational databases (PostgreSQL, MongoDB, Firestore, DynamoDB, ...).
• Programming: Proficiency in Python for data processing and automation.
• Data Analysis: Experience in data cleaning, normalization, and visualization.
• Communication: Ability to explain technical solutions to stakeholders with different backgrounds.
• Data Modeling: Experience designing scalable data models and architectures.

What We offer

• Contribute to building a cutting-edge Conversational Commerce platform poised for global expansion.
• Work with an international, passionate, supportive, young and talented team dedicated to excellence.
• Gear up with the latest Apple MacBook Pro.
• Meal vouchers to fuel your day.
• Permanent and full-time contract.
• Regular team-building events and celebrations.
• Access to cutting-edge technologies and resources to stay at the forefront of data engineering and analytics.
• Salary Range: €25,000 - €40,000