Data Engineer
Description For Data Engineer
As a Data Engineer at Smartly, you'll be at the forefront of developing data-driven solutions to identify business-critical areas of interest. You'll have a significant personal impact on the data architecture we're building. Our team of data engineers and analysts work to enable smart business decisions based on data, collecting, warehousing, and refining data to support business intelligence, product analysis, and sales operations.
You'll be working with a modern tech stack including Cloud SQL databases (Snowflake, with experience in AWS Redshift and/or GCP BigQuery also welcome), Postgres, Airflow (Python), Kubernetes, Kafka, dbt (Data Build Tool), Fivetran, Segment, redash, and Tableau.
Your responsibilities will include:
- Developing, maintaining, and optimizing our data infrastructure
- Working with large-scale cloud data warehouses
- Designing and implementing ETL/ELT pipelines
- Developing internal tools for efficient data processing
- Collaborating with cross-functional teams
- Building and maintaining APIs for data access
We're looking for candidates with:
- Strong programming skills in SQL and Python
- Experience with Airflow for workflow automation
- Familiarity with cloud platforms and data warehousing solutions
- Experience with messaging and streaming technologies
- Fluency in English
- A professional, problem-solving mindset
Bonus skills include experience with Kubernetes, TypeScript or Ruby, and data analysis.
Join a diverse team of over 750 Smartlies representing more than 60 nationalities across 24 locations in 13 countries. We offer an inclusive culture, global impact, focus on wellbeing, competitive compensation including equity options, and a flexible hybrid work model.
Smartly is committed to being the best place to work for growth-minded individuals. We manage creative and media for 700+ brands worldwide and $5B in ad spend across major media platforms. If you're looking to make a significant impact in the world of AI-powered advertising technology, Smartly is the place for you!
Responsibilities For Data Engineer
- Develop, maintain, and optimize data infrastructure
- Work with large-scale cloud data warehouses
- Design, implement, and manage ETL/ELT pipelines
- Develop and maintain internal tools for data processing
- Collaborate with cross-functional teams
- Build and maintain APIs for data access
Requirements For Data Engineer
- Strong programming skills in SQL and Python
- Experience developing workflows in Airflow
- Experience with cloud platforms and data warehousing solutions (e.g., AWS, Snowflake, GCP)
- Experience with messaging and streaming technologies (e.g., Kafka, RabbitMQ)
- Fluency in English, both written and spoken
- Professional, problem-solving mindset, with a proactive and passionate attitude
Benefits For Data Engineer
- Inclusive culture
- Global impact
- Healthcare packages
- Mental health services
- Paid holidays
- Family leave
- Equity options
- Performance-based rewards
- Competitive compensation
- Career development opportunities
- Hybrid work model
- Option to work abroad for up to 30 days
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