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NeaMob Tech is hiring Data Engineer

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**NeaMob** is a fast-growing digital marketing agency, delivering data-driven solutions for global businesses. We turn complex data into actionable insights that power smarter marketing decisions. To support our continued growth, we’re looking for a **Data Engineer** to join our dynamic **Analytics & BI team.**

**About the Role**
**As a Data Engineer**, you will be responsible for building and maintaining scalable data pipelines that fuel our BI, analytics, and marketing operations. You’ll work closely with Data Analysts and cross-functional teams to ensure our data infrastructure is robust, reliable, and optimized for performance.
This is a hands-on, strategic role for someone who thrives in automation, performance tuning, and enabling clean, reliable data flow across an organization.

**Key Responsibilities**
* Writing advanced SQL scripts.
* Creating tables, procedures and functions in PostgreSQL.
* Ingest data from diverse sources (APIs, logs, databases, marketing platforms).
* Optimize PostgreSQL data warehousing (partitioning, indexing, materialized views).
* Collaborate with analysts to serve clean, analytics-ready data for Power BI and Looker dashboards.
* OOP principles and Pandas library.
* Monitor pipeline health and automate data quality checks & schema validation.
* Continuously improve performance, scalability of the data infrastructure.

**We’re Looking For**
* **3+ years of experience as a Data Engineer** or in a similar role.
* **Strong proficiency in Python and SQL.**
* Hands-on knowledge of data warehouse technologies **(PostgreSQL or similar).**
* Familiarity with BI tools such **as Looker or Power BI.**
* Attention to detail with a passion for clean, well-documented, and reliable pipelines.
* Excellent communication skills in English.
* Bonus: experience working with **marketing platform data (Google Ads, Meta Ads, GA4).**

**What We Offer**
* Remote work environment with international colleagues.
* Opportunities to grow into Senior or Lead roles.
* Competitive compensation.
* Ongoing learning support: mentoring, courses, certifications.
* Collaborative, people-first culture that values initiative and autonomy.

**Ready to Apply?**
Submit your CV and briefly describe a data project you’re most proud of. Include any GitHub links or portfolio (optional).

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