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Data Engineer

 

Exmox, headquartered in Hamburg, is an innovative AdTech company dedicated to crafting the next generation of performance marketing products. Our mission is to seamlessly connect advertisers with their most valuable users through our proprietary products. What sets us apart is our unique business model, centered around rewarding users for testing and actively engaging with our clients’ products.

At Exmox, we take pride in our dynamic approach and client portfolio, counting some of the industry’s largest mobile gaming companies among our valued clients. As we navigate the exciting scale-up phase, we are actively seeking ambitious individuals who are passionate about contributing to our growth.

Are you ready to make a meaningful impact? Join our expanding team and play a vital role in shaping the future of performance marketing. Together, let’s explore new frontiers and redefine the possibilities in this dynamic industry.

Tasks

→ You actively shape your position, we want you to get involved and contribute ideas.

  • Design, develop, and maintain scalable clickstream data pipelines using AWS services like Kinesis Data Streams, Delivery Firehose, Lambda functions, and S3 buckets.
  • Implement data transformations and processing logic using PySpark to ensure efficient data handling and analysis.
  • Optimizing and troubleshooting the existing data pipelines to ensure high performance and reliability.
  • Collaborate with cross-functional teams to integrate data from various sources into our DataLakehouse on DataBricks.
  • Utilize Python and SQL for data manipulation, querying, and data validation tasks.
  • Monitor data pipeline performance and proactively identify and address issues to ensure data quality and integrity.
  • Stay updated with industry best practices and using technologies in data engineering.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • Strong proficiency in Python, SQL, and PySpark for data manipulation and processing.
  • Hands-on experience with DataBricks and AWS services (e.g., S3, Kinesis, Lambda) or similar technologies.
  • Proficiency in designing, implementing, and optimizing ETL processes, also orchestrating ETL workflows.
  • Solid understanding of data warehousing concepts with focus on the DataVault model is preferred.
  • Experience with GitLab CI/CD pipelines
  • Familiarity with PostgreSQL is a plus.
  • Knowledge of data integration and data quality best practices.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work independently and collaborate effectively in a team environment.
  • Strong communication and interpersonal skills.Fluent English in both verbal and written skills.

Benefits

  • Work Life Balance

We value rest and work life balance, we offer you 30 days of paid vacation days

  • Commuter Benefits

We provide you with public transportation tickets

  • Professional Development

We support you in deepening your skills and provide you an annual education budget of 1.500€

  • Workation

Combine Vacation with work: we offer annual workation opportunities

  • Gym membership – Wellpass

With Wellpass you can use more than 7000 Spas/ Gyms/ etc. in Germany

  • Catering

We offer monthly team lunches, daily fruits and vegetables and every beverage you could wish for

  • Flexibility

Benefit from flexible working hours and working from home

  • Diversity

We are an international team of talented people with different cultural backgrounds

  • Fun and Games

We have a big socializing area to make room for having relaxing activities within the working day

  • Desk Setup

Wherever you work, we will provide you with your workspace utensils

Please note: this is not a remote only position, we offer you a flexible hybrid model here in Hamburg, Germany – working from home on Mondays & Fridays, coming to the office on Tuesday, Wednesday & Thursday! 🙂

This fits your ideas exactly or you’re still unsure if it’s really the right fit? Feel free to contact Alessia and together we will find out. 🙂

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