Join Our Journey
Jules develops an amazing end-to-end solution for recycled materials traders, importers and exporters. Which means a looooot of internal, structured data to play with in order to provide reporting, alerting and insights to end-users. With about 200 tables, covering all business processes from order management, to payments including logistics, hedging and claims, the wealth the data entered in Jules can unlock is massive.
After working on a simple stack made of PostGres, SQL queries and a visualization solution, the company is now ready to set-up its data stack and only misses you. We are thinking DBT, Redshift or Snowlake, Five Tran, Metabase or Luzmo etc. We also have an AI team already playing around text driven data interaction.
As a Data Engineer at Jules AI, your duties will involve both data engineering and product analytics, enhancing our data ecosystem. You will collaborate with cross-functional teams to design, develop, and sustain data pipelines, and conduct detailed analyses to generate actionable insights.
Roles And Responsibilities:
- Work with stakeholders to determine data needs, and design and build scalable data pipelines.
- Develop and sustain ELT processes to guarantee timely and precise data availability for analytical purposes.
- Construct and oversee large-scale data pipelines that collect data from various sources.
- Expand and refine our DBT setup for data transformation.
- Engage with our data platform team to address customer issues.
- Apply your advanced SQL and big data expertise to develop innovative data solutions.
- Enhance and debug existing data pipelines for improved performance and reliability.
- Generate and update dashboards and reports to share analytical results with stakeholders.
- Implement data quality controls and validation procedures to maintain data accuracy and integrity.
- Work with various teams to incorporate analytics into product development efforts.
- Use technologies like Snowflake, DBT, and Fivetran effectively.
Mandatory Qualifications:
- Hold a Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Possess at least 4 years of experience in Data Engineering, ETL Building, database management, and Data Warehousing.
- Demonstrated expertise as an Analytics Engineer or in a similar role.
- Proficient in SQL, a scripting language (Python), and a data visualization tool.
- Mandatory experience in working with DBT.
- Experience in working with Airflow, and cloud platforms like AWS, GCP, or Snowflake.
- Deep knowledge of ETL/ELT patterns.
- Require at least 1 year of experience in building Data pipelines and leading data warehouse projects.
- Experienced in mentoring data professionals across all levels, from junior to senior.
- Proven track record in establishing new data engineering processes and navigating through ambiguity.
- Preferred Skills: Knowledge of Snowflake and reverse ETL tools is advantageous.
Grow, Develop, and Thrive With Us
- Global Collaboration: Work with a dynamic team that’s making an impact across the globe, in the recycling industry and beyond. We have customers in India, Singapore, United-States, Mexico, Germany, France and more
- Professional Growth: a highway toward setting-up a great data team and evolve into a leader
- Flexible Work Environment: Competitive compensation, performance-based rewards, health benefits, paid time off, and flexible working hours to support your well-being.
