Looking for an exciting challenge?
Join us on our mission to become a global champion in commerce advertising and performance marketing.
mrge, a leading Commerce Advertising platform, connects over 5,500 publishers, 55,000 advertisers, and 100 networks in 160+ countries. It combines the expertise of five market leaders: digidip, specializing in premium publishers; MaxBounty, focused on direct partnerships; shopping24, offering product recommendations; SourceKnowledge, a CPC platform; and Yieldkit, delivering high reach and performance. Backed by Waterland private equity, mrge employs over 160 professionals with offices in Hamburg, Berlin, Montreal, and Ottawa.
Our culture runs on trust, friendliness, and collegiality, fostering a positive work atmosphere.
Working with us is easy and fun – just ask our clients, who we help to reach their goals in an uncomplicated, reliable way.
In close cooperation with our partners, we provide advertising formats that offer genuine relevance for our users and, as a result, lead to higher sales.
Your Tasks:
We are looking for a skilled Senior Data Engineer to join our team at mrge. In this role, you will collaborate with cross-functional teams to design and develop robust data pipelines that empower data-driven decision-making across the organization. You’ll have the opportunity to design, build, and maintain a cutting-edge data platform, ensuring data accuracy, consistency, and reliability. Working closely with data analysts, and backend developers, you will play a key role in fostering a data-driven culture and ensuring our infrastructure scales as we grow.
Key Responsibilities:
Contribute to building and maintaining data pipelines and the data platform.
Manage data ingestion from various sources, optimizing for efficiency and reliability.
Collaborate with data analysts on complex data transformations, implementing orchestration tools and quality checks.
Oversee the operational aspects of the data platform, including performance tuning and capacity management.
As part of the team, engage in continuous learning, reviewing, and adapting, while fostering a culture of shared ownership and decision-making. Build solutions that are effective now and adaptable for the future.
Mentor and guide junior team members, promoting best practices in data engineering.
Your Profile:
Proven experience with large-scale distributed data workloads
Advanced SQL and OLAP skills, with experience developing data pipelines and models, and working with data at scale.
Familiarity with Docker, Kubernetes (EKS) usage and management.
Excellent communication skills; values teamwork and believes a team is more than the sum of its parts. Enjoys mentoring and sharing knowledge with others.
Autonomous, proactive, and customer-oriented mindset with a strong sense of ownership over projects.
Proven Experience with Analytical Engineering and Data modelling
Proven experience with data governance, quality, and compliance practices.
Nice to have
Experience with other programming languages like Java or Scala.
Experience with streaming and pub sub technologies
Previous experience in deploying and running ML models.
Expertise in both real time and batch data processing, and building pipelines for analytical and ML use cases.
Our Preferred Tech Stack
Strong knowledge of Python and SQL.
Modern data stack tool Airbyte/Fivetran, Dagster and dbt for building pipelines.
Extensive experience with AWS is strongly preferred, but we are ready to consider candidates with strong knowledge of other cloud platforms.
OLAP systems like Clickhouse, Snowflake, Redshift or Databricks.
Streaming technologies like Kafka, Kinesis
IaC tools like Terraform
Nice to have
Experience with other programming languages like Java or Scala.
Familiarity with Hadoop or Spark frameworks is a plus.
Container management tools like Kubernetes.
Experience with CI/CD tools like Terraform, GitHub Actions, and ArgoCD.
Your Opportunity:
- Take an active role in shaping an innovative, growth-orientated international corporate group from its early stages; seize the opportunity to become irreplaceable!
- Take on responsibility as you become an important part of a young, ambitious, and friendly team with a shared desire to develop its skills.
- Enjoy opportunities to work independently, with flexible hours and hybrid remote/office working options.
- Enjoy top-notch employee benefits: 30 paid vacation days, the latest tech, individual development plan, prepaid spending card (50€ monthly budget) and much more
- Take your skills, talents, and career to the next level as you grow with us.
All our employees have equal career opportunities at mrge, regardless of gender, origin, ethnicity, religion, sexual orientation, age, or other personal attributes.
Candidates will be considered and selected equally based on their skills, qualification, and the needs of the company.
We know that experience and skills are matters of development and gain while working.
Therefore, we encourage you to apply even if your profile does not meet 100% of the requirements for this position.
Originally posted on Himalayas
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