Job Description
Our Client is a leading Commerce Advertising platform, connects over 5,500 publishers, 55,000 advertisers, and 100 networks in 160+ countries. His culture runs on trust, friendliness and collegiality, fostering a positive work atmosphere.
Working with him is easy and fun – just ask the clients, who he helps to reach their goals in an uncomplicated, reliable way. For the near future we are looking for a
Senior Data Engineer (m/f/d)
Your Tasks:
1. Contribute to building and maintaining data pipelines and the data platform.
2. Manage data ingestion from various sources, optimizing for efficiency and reliability.
3. Collaborate with data analysts on complex data transformations, implementing orchestration tools and quality checks.
4. Oversee the operational aspects of the data platform, including performance tuning and capacity management.
5. 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.
6. Mentor and guide junior team members, promoting best practices in data engineering.
Your Profile:
7. Proven experience with large-scale distributed data workloads
8. Advanced SQL and OLAP skills, with experience developing data pipelines and models, and working with data at scale.
9. Expertise in both real time and batch data processing, and building pipelines for analytical and ML use cases.
10. Familiarity with container creation and management.
11. Excellent communication skills; values teamwork and believes a team is more than the sum of its parts. Enjoys mentoring and sharing knowledge with others.
12. Autonomous, proactive, and customer-oriented mindset with a strong sense of ownership over projects.
13. Proven experience with data governance, quality, and compliance practices.
14. Experience with other programming languages like Java or Scala.
15. Experience with streaming and pub sub technologies
16. Previous experience in deploying and running ML models.
Our Preferred Tech Stack
17. Strong knowledge of Python and SQL.
18. Modern data stack tool Airbyte/Fivetran, Dagster and dbt for building pipelines.
19. Extensive experience with AWS is strongly preferred, but we are ready to consider candidates with strong knowledge of other cloud platforms.
20. OLAP systems like Clickhouse, Snowflake, Redshift or Databricks.
21. Streaming technologies like Kafka, Kinesis
22. IaC tools like Terraform
23. Experience with other programming languages like Java or Scala.
24. Familiarity with Hadoop or Spark frameworks is a plus.
25. Container management tools like Kubernetes.
26. 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.
Your Opportunity:
27. Take an active role in shaping an innovative, growth-orientated international corporate group from its early stages; seize the opportunity to become irreplaceable!
28. Take on responsibility as you become an important part of a young, ambitious, and friendly team with a shared desire to develop its skills.
29. Enjoy opportunities to work independently, with flexible hours and hybrid remote/office working options.
30. Enjoy top-notch employee benefits: 30 paid vacation days, the latest tech, individual development plan, prepaid spending card (50€ monthly budget) and much more
31. Take your skills, talents, and career to the next level as you grow with us.
Are you