Job Description
Location: Fully remote, EU timezone (CET ± 2 hours)
Start date: ASAP
Languages: English is mandatory; French is a plus
Industry: Cloud Computing / Blockchain services European SaaS
At Pragmatike, we are expanding our Data Engineering team to support the rapid growth of our internal projects. We focus on building innovative solutions in Cloud Computing, Blockchain, and Artificial Intelligence, with a strong emphasis on scalability, performance, and data-driven decision-making. Joining us means working in a collaborative environment where your expertise and leadership directly shape the foundation of our data infrastructure and product capabilities.
If youre passionate about designing reliable data architectures, mentoring other engineers, and driving technical excellence in a fast-moving startup environment wed love to hear from you!
Responsabilities
- Design, build, and scale robust data architectures and ETL pipelines to support analytics, product insights, and AI-driven initiatives.
- Lead data migration and modernization projects (e.g., transitioning from Tableau to Looker or other BI platforms).
- Collaborate with Product, Engineering, and Analytics teams to define data instrumentation, collection, and governance strategies.
- Ensure data quality, integrity, and availability across multiple domains (product, marketing, customer, finance, etc.).
- Implement and optimize data processing and storage solutions in the cloud (AWS, GCP, or Azure).
- Build and maintain monitoring, alerting, and observability systems for data workflows.
- Contribute to predictive and forecasting models, supporting advanced analytics and machine learning efforts.
- Define and advocate for data engineering best practices, including CI/CD, testing, documentation, and code quality.
- Mentor data engineers, review code, and help elevate the technical standards across the data team.
Required Qualifications
- 7+ years of proven experience as a Data Engineer.
- Strong experience designing and maintaining scalable data infrastructures and complex data pipelines.
- Experience in startup or scale-up environments is a must.
- Expertise with SQL and strong understanding of data modeling and warehousing principles.
- Hands-on experience with modern data stack tools (e.g., dbt, Airflow, Snowflake, BigQuery, Redshift, Databricks, etc.).
- Experience migrating BI or data tools (e.g., Tableau, Looker, or legacy modern stack).
- Solid understanding of Python for automation, data transformation, or machine learning applications.
- Excellent communication, leadership, and cross-functional collaboration skills.
- Proficiency in English (written and spoken).
Pragmatike is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.
In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time.