Senior Data Engineer, Knowledge Platform

Accountabilities:

• Design and implement scalable, high-quality data models supporting analytics, machine learning, and operational use cases

• Define and maintain data architecture standards, ensuring consistency through single-source-of-truth principles across systems

• Build and manage batch and streaming ETL pipelines from data ingestion to transformation and delivery

• Collaborate with stakeholders to translate business requirements into structured, well-documented data models and solutions

• Ensure data quality, consistency, traceability, and reliability across multiple distributed data sources

• Work with platform and product teams to identify, troubleshoot, and resolve complex data pipeline issues efficiently

• Contribute to data governance frameworks including data quality, privacy, lifecycle management, and metadata standards

• Support integration of data systems with AI and machine learning initiatives, enabling scalable data usage for intelligent applications

Requirements:

• Bachelor’s degree or higher in Computer Science, Information Systems, Mathematics, Finance, or related field

• 5+ years of experience building and maintaining ETL pipelines using tools such as Informatica, Talend, Apache NiFi, or similar

• Strong proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle

• Experience with data warehousing and cloud data platforms, preferably including Google Cloud Platform (BigQuery, Airflow)

• Strong understanding of data modeling concepts (star schema, snowflake, normalization, denormalization)

• Excellent problem-solving skills with strong attention to data quality and system reliability

• Strong communication and collaboration skills in cross-functional and distributed team environments

• Preferred: experience in fintech, financial services, or payments environments

• Preferred: familiarity with data governance, regulatory requirements, or compliance frameworks

• Preferred: experience using Python or similar scripting languages for data processing and automation

Benefits:

• Competitive compensation with equity opportunities depending on role and experience

• Bonus eligibility based on performance and company policies

• Comprehensive healthcare coverage including medical, dental, and vision insurance

• 401(k) retirement savings plan

• Paid time off including vacation days and company holidays

• Hybrid work environment with collaborative office culture and flexible arrangements

• Learning and development opportunities in advanced data, cloud, and AI technologies

• Exposure to large-scale global fintech data systems and modern cloud-native architectures.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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