Data Engineer
Descrizione dell'offerta
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