Senior Data Engineer
Employment Info
JOB DETAILS
Requirements
- Extensive experience in data solutions, technology tools, governance tools, cloud platforms, Python/Scala, and SQL.
- Experience building pipelines and products with unstructured data, applying relevant techniques such as classic NLP, embedding and feature extraction from multi-modal data.
- Familiar with engineering practices such as TDD, clean code, CI/CD, and DevOps.
- Proven experience delivering reliable, efficient data infrastructure.
- Strong communication skills with a track record of working across business, tech, and data teams.
- Solid understanding of data quality, consistency, and governance requirements.
- Ability to understand needs across domains like finance, marketing, sales, customer, and product data.
- Awareness of data needs for AI/ML and integration with MLOps tools and practices.
Responsibilities
- Design, build, and maintain scalable, reliable, and observable data pipelines that meet evolving data standards and governance requirements.
- Develop and optimise structured datasets and metadata frameworks to support advanced analytics, AI, and business intelligence use cases.
- Collaborate closely with software engineers, data scientists, and analysts to ensure the data platform effectively supports business and product goals.
- Drive innovation and best practices in data engineering, continuously improving data quality, performance, and delivery efficiency across teams.
Desired Qualifications
- Bachelor’s or Master’s degree or equivalent experience in Computer Science, Data Science, Machine Learning, or a related field and relevant certifications (e.g., AWS Certified Machine Learning – Specialty) are highly desirable.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
#DesignFintech #GlobalDesigners
#FintechInnovation #CreativeJobs
#DesignHub
#Tech Meets Design
#DesignerNetwork
#Myausjob
Related Jobs
Your Next Career Move Starts Here