Senior Data Engineer (m/f/d)

Business Intelligence,Data Analyst,Marketing,Remote,Hamburg,SQL,Python ,Java,Scala,AWS,Azure,GCP,BerlinJoin us on our mission to become a global champion in commerce advertising and performance marketing.

Backed by our investor Waterland Private Equity, our five companies are digidip, shopping24, mrge Americas, MaxBounty and Yieldkit form mrge. Together, we are building and scaling technology platforms that all share the goal of connecting advertisers and publishers in a manner beneficial to both parties.

We are an international, multilingual team with flat hierarchies. Our teams work with a high degree of independence, both from offices in Hamburg and Berlin, as well as remotely.

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
 
We are seeking a highly skilled and motivated Data Engineer to join our team. You are an individual who is passionate about data and is driven to make a difference in the industry. In this role, you will have the opportunity to design, build and maintain a state-of-the-art cloud-based data platform, and ensure that data is accurate, consistent, and reliable. You will be a key member of the team and will play a vital role in the further development of our data platform.

• 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.

• 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.
• Expertise in both real time and batch data processing, and building pipelines  for analytical and ML use cases. 
• Familiarity with container creation 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 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.

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.

"To empower our organization with actionable insights and data-driven decision-making through the collection, processing and analysis of data, while maintaining the highest standards of data governance, quality and compliance."

The vision of the data team should be to be recognized as a trusted and strategic partner within the organization, providing valuable insights and enabling data-driven decision-making across all departments. The data team should strive to be at the forefront of innovation in the field of data and analytics, continuously seeking out new technologies, techniques and methodologies to improve the way they work and deliver value to the organization. The team should also be committed to data governance, quality, and compliance, ensuring data is accurate, consistent, and reliable.

• 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.

Have we convinced you? Then we can’t wait to read your application!
 
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.