data science Engineer (hybrid set-up)Sprout Solutions
Workplace: MetroManila, Manila, Taguig
Salary: Agreement
Work form: Full time
Posting Date: 26/01/2026
Deadline: 07/02/2022
PERKS:
Remote Work (Laptops will be provided)
Paid trainings and certifications
Paid leaves upon hire
Fun and innovative culture - we love getting things done while also having fun!
MAIN AREA OF RESPONSIBILITY:
The primary responsibility of the Data Science Engineer is to transform data into a format that can be easily analyzed. The Data Engineer will be responsible for designing and developing Sprout's data system, processing and extracting data features and deploying the data science team's machine learning models. The Data Engineer will support our software engineers, architects and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
TASKS:
Build, optimize and maintain conceptual, logical and physical database models
Develop database solutions to store and retrieve information
Assemble datasets that meet functional/non-functional business requirements
Build the infrastructure for optimal ETL from a wide variety of data sources
Monitor data integrity and adopt appropriate tools
Improve system performance
Optimize or re-design data architecture to support Sprout's next generation of products and data initiatives
Design, develop, test and deploy web service APIs
Work with Data Scientists to identify future needs and requirements
Deploy models and algorithms developed by the Data Science team
Perform other duties as assigned by the company
QUALIFICATIONS | COMPETENCIES:
Extensive knowledge on databases (SQL and/or NoSQL) and data engineering best practices
Expertise in SQL and other programming languages(e.g. Python, Java, Scala, shell scripting etc.)
Experience with data modeling (data warehouse, data lake) and designing data storage schemes
Familiarity with data engineering and ETL software tools, hadoop, spark, talend, SSAS, etc. is also helpful
Experience building and optimizing data pipelines, architecture and datasets
Experience in software development
Experience with Azure
A successful history of manipulating, processing and extracting value from large disconnected datasets
Familiarity with data visualization tools (e.g. PowerBI or Google Data Studio)
Familiarity with agile development as a project management methodology is a plus
Strong problem-solving and analytical skills
Must be self-motivated and comfortable supporting the data needs of multiple teams, systems and products
A good team player and willingness to learn
Strong innate desire and proven track record of continuous self-improvement (in learning, job expansion, extracurricular activities, etc.)
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Sprout Solutions
Remote Work (Laptops will be provided)
Paid trainings and certifications
Paid leaves upon hire
Fun and innovative culture - we love getting things done while also having fun!
MAIN AREA OF RESPONSIBILITY:
The primary responsibility of the Data Science Engineer is to transform data into a format that can be easily analyzed. The Data Engineer will be responsible for designing and developing Sprout's data system, processing and extracting data features and deploying the data science team's machine learning models. The Data Engineer will support our software engineers, architects and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
TASKS:
Build, optimize and maintain conceptual, logical and physical database models
Develop database solutions to store and retrieve information
Assemble datasets that meet functional/non-functional business requirements
Build the infrastructure for optimal ETL from a wide variety of data sources
Monitor data integrity and adopt appropriate tools
Improve system performance
Optimize or re-design data architecture to support Sprout's next generation of products and data initiatives
Design, develop, test and deploy web service APIs
Work with Data Scientists to identify future needs and requirements
Deploy models and algorithms developed by the Data Science team
Perform other duties as assigned by the company
QUALIFICATIONS | COMPETENCIES:
Extensive knowledge on databases (SQL and/or NoSQL) and data engineering best practices
Expertise in SQL and other programming languages(e.g. Python, Java, Scala, shell scripting etc.)
Experience with data modeling (data warehouse, data lake) and designing data storage schemes
Familiarity with data engineering and ETL software tools, hadoop, spark, talend, SSAS, etc. is also helpful
Experience building and optimizing data pipelines, architecture and datasets
Experience in software development
Experience with Azure
A successful history of manipulating, processing and extracting value from large disconnected datasets
Familiarity with data visualization tools (e.g. PowerBI or Google Data Studio)
Familiarity with agile development as a project management methodology is a plus
Strong problem-solving and analytical skills
Must be self-motivated and comfortable supporting the data needs of multiple teams, systems and products
A good team player and willingness to learn
Strong innate desire and proven track record of continuous self-improvement (in learning, job expansion, extracurricular activities, etc.)
Powered by JazzHR
Sprout Solutions
Other Info
Taguig City, Metro Manila
Permanent
Full-time
Permanent
Full-time
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Sprout Solutions
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