Data Engineer - Domain Data (MarTech)

Summary

Join OLX and see how far you can go. Become a part of an agile team of data specialists taking care of massive amounts of data and groundbreaking technologies as a domain data engineer in Marketing Technology.

Requirements

• +2 years experience building complex data pipelines and working with both technical and business stakeholders
• Entrepreneurial spirit and ability to think creatively; highly driven and self-motivated
• Good SQL language regardless of the underlying data technology. Writes efficient, easy-to-read, and crisp SQL code
• Relevant experience with designing for scale and data growth in terms of storage and performance
• Potential to build rock-solid Python applications - writes understandable and maintainable code
• Relevant experience with cloud data technologies (AWS, GCP, or Azure Cloud), such as Redshift, Athena, Spark
• Knowledge and curiosity about other big data technologies and tools
• Relevant experience working with Marketing, advertising teams are a plus
• Experience with data consulting and managing stakeholders are also a plus
• Relevant experience with analytics and defining metrics
• Relevant experience with measuring data quality
• Good communication skills
• Excellent written and verbal proficiency in English

Responsibilities

• Enable efficient consumption of domain data as a product by delivering and promoting strategically designed actionable datasets and data models
• Build, maintain, and improve rock-solid data pipelines using a broad range of technologies like AWS Redshift, Trino (formerly PrestoSQL), Python, Spark, Airflow, and Kinesis streaming
• Support teams without data engineers with building decentralized data solutions and product integrations, for example around DynamoDB
• Follow and promote Data Mesh principles around decentralized data ownership and ‘data as a product’
• Act as a data ambassador promoting the value of data and our data platform among engineering teams and enabling cooperation
• Continuously look for opportunities to integrate data into our end products
• Cooperate with product teams to streamline source data so that data is cleaner earlier in the process
• Enforce privacy and security standards (privacy by design)
• Increase data literacy of the engineering organization by hosting trainings and mentoring other engineers (both less experienced data engineers and software engineers)

Benefits

• Permanent contract
• Competitive salary + annual bonus up to 15% of your annual gross salary
• Health insurance
• Train and conference budget and free access to Udemy courses
• MacBook Pro along with necessary accessories to make your work comfortable
• 100% remote work (and the possibility to work from our office in Barcelona)