Melio Senior Data Engineer Analytics 

Israel, Tel Aviv District, Tel Aviv-Yafo 

129778605

As a Senior Data Engineer, you will play a key role in shaping and driving our analytics data pipelines and solutions to empower business insights and decisions. Collaborating with a variety of stakeholders, you will design, develop, and optimize scalable, high-performance data analytics infrastructures using modern tools and technologies. Your work will ensure data is accurate, timely, and actionable for critical decision-making.

Key Responsibilities:

• Lead the design, development, and maintenance of robust data pipelines and ETL processes, handling diverse structured and unstructured data sources.
• Collaborate with data analysts, data scientists, product engineers and product managers to deliver impactful data solutions.
• Architect and maintain the infrastructure for ingesting, processing, and managing data in the analytics data warehouse.
• Develop and optimize analytics-oriented data models to support business decision-making.
• Champion data quality, consistency, and governance across the analytics layer.

Qualifications:

• 5+ years of experience as a Data Engineer or in a similar role.
• Expertise in SQL and proficiency in Python for data engineering tasks.
• Proven experience designing and implementing analytics-focused data models and warehouses.
• Hands-on experience with data pipelines and ETL/ELT frameworks (e.g Airflow, Luigi, AWS Glue, DBT).
• Strong experience with cloud data services (e.g., AWS, GCP, Azure).
• A deep passion for data and a strong analytical mindset with attention to detail.

Bonus points:

• Strong understanding of business metrics and how to translate data into actionable insights
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
• Familiarity with data governance and data quality best practices
• Excellent communication skills to work with cross-functional teams including data analysts, data scientists, and product managers

What your day might look like:

• Leading the design and implementation of scalable data pipelines to support analytical workloads.
• Collaborating with stakeholders to gather requirements, propose solutions, and align on data strategies.
• Writing and optimizing ETL processes to ensure seamless integration of new data sources.
• Designing analytics-focused data modeling solutions tailored for strategic decision-making.
• Troubleshooting data issues and implementing measures to improve system reliability and accuracy.
• Sharing knowledge and mentoring team members to promote a culture of learning and excellence.