Senior Data Engineer (m/f/d)

shopping24 commerce network; Hamburg, Berlin; Hybrid; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

A leading commerce advertising platform is seeking a Senior Data Engineer to design and develop data pipelines that enable data-driven decision-making. This role involves building a state-of-the-art data platform and collaborating with cross-functional teams to ensure data accuracy and reliability. Join a young, ambitious team and enjoy flexible working hours and excellent employee benefits.

Leistungen

30 days paid vacation

Flexible hours

Personal development plans

Latest tech

Prepaid cards

Qualifikationen

• Proven experience with large-scale distributed data workloads.
• Advanced SQL and OLAP skills.
• Experience with Analytical Engineering and Data modelling.

Aufgaben

• Build and maintain data pipelines and the data platform.
• Manage data ingestion from various sources.
• Collaborate with data analysts on complex data transformations.

Kenntnisse

SQL

Data Engineering

Data Governance

Communication

Analytical Engineering

Tools

Docker

Kubernetes

AWS

Python

Terraform

Jobbeschreibung

Permanent employee, Full-time · Berlin / Hamburg / Remote

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, MaxBounty, shopping24, SourceKnowledge, and Yieldkit. Backed by Waterland private equity, mrge employs over 160 professionals with offices in Hamburg, Berlin, Montreal, and Ottawa.

Our culture is built on trust, friendliness, and collegiality, fostering a positive work atmosphere. Working with us is easy and fun – just ask our clients, who we help reach their goals reliably and straightforwardly.

Your Tasks:

We are seeking a skilled Senior Data Engineer to join our team. You will collaborate with cross-functional teams to design and develop data pipelines that enable data-driven decision-making. Your role involves designing, building, and maintaining a state-of-the-art 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 with growth.

Key Responsibilities:

• Build and maintain 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 operational aspects of the data platform, including performance tuning and capacity management.
• Engage in continuous learning, review, and adaptation, fostering shared ownership and decision-making.
• 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 at scale.
• Familiarity with Docker, Kubernetes (EKS), and management.
• Excellent communication skills; a team player who enjoys mentoring and sharing knowledge.
• Autonomous, proactive, and customer-oriented mindset with a strong sense of ownership.
• Experience with Analytical Engineering and Data modelling.
• Knowledge of data governance, quality, and compliance practices.

Nice to Have:

• Experience with programming languages like Java or Scala.
• Experience with streaming and pub/sub technologies.
• Experience deploying and managing ML models.
• Expertise in real-time and batch data processing for analytical and ML use cases.

Our Preferred Tech Stack:

• Strong knowledge of Python and SQL.
• Tools like Airbyte/Fivetran, Dagster, and dbt for pipelines.
• Extensive AWS experience or strong knowledge of other cloud platforms.
• OLAP systems such as Clickhouse, Snowflake, Redshift, or Databricks.
• Streaming technologies like Kafka or Kinesis.
• IaC tools like Terraform.
• Experience with Java or Scala, Hadoop, Spark, CI/CD tools like GitHub Actions, ArgoCD is a plus.

Benefits & Opportunities:

• Shape an innovative, growth-oriented international group from its early stages.
• Take responsibility as part of a young, ambitious team.
• Work independently with flexible hours and hybrid remote/office options.
• Enjoy top employee benefits: 30 days paid vacation, latest tech, personal development plans, prepaid cards, and more.
• Grow your skills, talents, and career with us.

If you're excited about this opportunity, we look forward to your application!

At mrge, we promote equal career opportunities regardless of gender, origin, ethnicity, religion, sexual orientation, age, or personal attributes. We encourage applications from all qualified candidates, even if they don't meet 100% of the listed requirements.

Join us to connect publishers, advertisers, and innovative tools in a dynamic environment. Let’s grow together!