Data Engineer

We're always looking for the ones
truly passionate
about their work. If you are amongst them, you can rest assured there is a place for you in eMAG. We've grown very fast and are determined to keep doing so. What brought us here is our desire for continuous evolution and practical results.

More than 6000 colleagues are part of
eMAG Teams
. We strongly believe in people's development and therefore every year we invest more and more energy and resources to remain an organization that is constantly learning. We want to ensure that you'll have the most talented colleagues and the proper environment to grow and achieve great results, to become what you desire on a personal and professional level.
Join us, grow faster

Data Engineer (Ads Team)

We are looking for a passionate Data Engineer to join our eMAG Ads Team. In this role, you will be responsible for designing, building, and maintaining robust data infrastructure and pipelines that power our advertising platform.

The eMAG Ads platform generates significant amounts of data across advertiser and customer verticals, and requires timely, robust, consistent and scalable data engineering to support real-time, near real-time or batch data collection, processing for monitoring, data analysis, reporting, training and inference.

Our advertising platform consists of a demand-side suite of campaign, budget, targeting management and reporting tools, and a supply-side array of applications responsible for the real-time bidding, delivery and data collection functions of a cohesive PPC advertising Platform.

What you'll have to do:

• Design, develop, and maintain scalable data collection, processing, and ETL pipelines from various sources (logs, databases, datalakes);
• Create and maintain data models and dataset designs that support efficient analytics, reporting, training and inference;
• Implement comprehensive data cataloguing systems to improve data discovery and governance;
• Develop automation solutions for repetitive data tasks and workflows;
• Build and maintain robust data quality and consistency monitoring systems;
• Collaborate closely with Product Managers, Data Analysts, and Engineering teams to understand data requirements and deliver technical solutions;
• Design and implement data infrastructure using infrastructure-as-code principles;
• Optimize data storage and retrieval systems for performance and cost efficiency;
• Ensure data security, privacy compliance, and proper access controls;
• Document data architectures, pipelines, and processes for knowledge sharing.

What makes you a good fit:

• Strong proficiency in SQL and at least one scripting language (Python, Javascript);
• 2-3 years of proven experience in Data Engineering or similar technical role;
• Experience with ETL/ELT processes and related tools (Airflow, dbt, AWS Glue, AWS Kinesis etc.);
• Solid understanding of data modeling concepts and best practices;
• Experience working with cloud-based data solutions (AWS, GCP);
• Knowledge of data quality assurance methodologies and monitoring practices;
• Good problem-solving skills and a continuous improvement mindset;
• Good communication skills (Romanian, English);
• Ability to collaborate effectively within cross-functional teams.

What makes you stand out:

• Experience with infrastructure as code (Terraform, CloudFormation);
• Knowledge of stream processing technologies (Kafka, Kinesis);
• Familiarity with container technologies (Docker, Kubernetes);
• Experience with data governance and cataloging tools;
• Understanding of data visualization concepts and tools;
• Familiarity with monitoring tools (Grafana, Prometheus, Kibana, Cloudwatch etc.);
• Knowledge of advertising technology and related data structures.

What we've prepared for you:

• Medical subscription: Medicover, MedLife or Regina Maria.
• A flexible budget that you can invest in yourself as you wish: meal tickets, holiday tickets, cultural vouchers, private pension, foreign language classes, eMAG, Fashion Days, Therme and Genius, membership to different gyms or even professional development classes.
• Different discounts from our partners: banking, mobile, dental medicine or wellness.
• Access to the Bookster library and free credits on the Hilio psycho-emotional health platform.
• An accelerated learning environment, with access to over curated online resources and platforms, learning academies and development programs.
• New headquarters, where sleek design, natural light, and versatile spaces create an energizing and comfortable environment for hybrid work.

Curious to find out more about the next step in your career?
Apply now
and if your experience is relevant for the role you wish, we will give you a call for more details Also, here you can find our confidentiality policy if you want to consult it.