Bridge351
Portugal
Senior Data Quality Engineer (Sales & Finance)
- AI
- Ai Tools
- Cloud
- Python
AI Summary
Designs, implements, and operates production-ready data systems, including pipelines for ingestion, transformation, and serving. Requires 3+ years of data engineering experience, strong Python/T-SQL skills, and expertise in tools like dbt, Airflow, and distributed processing. Focuses on reliability, scalability, and collaboration with DevOps and junior engineers.
Key Highlights
Owns end-to-end data pipelines from ingestion to serving
3+ years of data engineering experience required
Collaborates with DevOps and mentors junior engineers
Key Responsibilities
Design and implement end-to-end production data pipelines
Build and operate distributed/non-distributed processing systems
Collaborate with DevOps for deployment and operations
Mentor junior engineers in technical practices
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Technical Skills Required
Benefits & Perks
Annual gross salary between €30,000 and €45,000
Fully remote or hybrid work
Meal allowance: €10.46 per day
15th month bonus salary policy
4 extra vacation days
Health insurance (for you, your spouse, and children)
Life insurance
Company-paid certifications
Team building activities
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Nice to Have
Experience with AI/agentic workloads
Experience with PySpark
Experience with Airflow/Prefect
Job Description
We’re looking for a Data Engineer to own the design, implementation, and operation of production-ready data systems. You’ll independently deliver end-to-end pipelines, from ingestion through transformation and serving, making the technical decisions that keep our systems reliable, scalable, and maintainable across the full data lifecycle.
What you will be doing
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