Data Engineer

hace 7 días


Barcelona, España Olx Group A tiempo completo

.WELCOME TO OLX At OLX, we work together to build a more sustainable world through trade . We make it safe, smart, and convenient to buy and sell cars, find housing, get jobs, buy and sell household goods, and more. Our colleagues around the world help to serve millions of people every month through its well-loved consumer brands including OLX, Otodom, and Property24. Join OLX and see how far you can go . JOIN OUR OLX DATA ENGINEERING TEAM 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, you will be responsible for delivering data via key pipelines that can support the Marketing teams in making decisions on targeting, sizing, budgets, and be a key person who will deliver the insights of the marketing campaigns. While being part of a central team of Data Engineers across Lisbon, Berlin, and Poznan, you will be embedded in the cross-functional MarTech team. You will work closely with product managers, software engineers, product analysts, data scientists, and marketing stakeholders to own and deliver accurate, timely, and insightful data to the marketing team. What you will be doing: 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). Who we are looking for: +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



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