Senior Data Engineer | Data Ops
I
IdovenHealthTech AI
Madrid, Community of Madrid, SpainFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English and Spanish
- Experience
- 3+ years
- Required Skills
- AWSDockerSQLGCPKubernetesAzureData engineeringNosqlTerraform
Requirements
- 3+ years of experience in DataOps, data engineering, or a similar role, preferably in a regulated industry.
- Proficiency with SQL and NoSQL databases.
- Experience designing complex data pipelines.
- Expertise in cloud platforms (AWS, GCP, or Azure).
- Experience with tools like Terraform, Kubernetes, and Docker.
- Proven ability to work autonomously, drive projects independently, and deliver measurable results.
- Strong communication and leadership skills to mentor team members and coordinate with diverse stakeholders.
- Fluency in English and Spanish.
- Familiarity with monitoring tools and data visualization platforms (e.g., Grafana, Power BI).
- Exposure to machine learning workflows or AI model integration.
Responsibilities
- Architect and maintain high-performance, secure, and scalable data pipelines to support AI-driven workflows.
- Collaborate with cross-functional teams to manage the ingestion, transformation, and integration of large datasets from external partners.
- Build systems to ensure data quality, integrity, and regulatory compliance (e.g., ISO 13485, GDPR).
- Develop reusable code and frameworks to streamline data processes and ensure operational excellence.
- Monitor data pipelines, resolve issues autonomously, and implement safeguards to minimize disruptions.
- Identify and implement best practices and emerging technologies to enhance data infrastructure and team efficiency.
- Serve as a technical expert, working closely with Product, Engineering, and Data Science teams.
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