drjobs (Senior) Data Engineer (wmd)

(Senior) Data Engineer (wmd)

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Job Location drjobs

Hamburg - Germany

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

ZEAL Network SE is a dynamic international group of companies that has been creating exciting and innovative lottery experiences for over 20 years. As Germanys largest provider of online lotteries through our brands LOTTO24 and Tipp24 and a trusted partner of Spains ONCE the second-largest national lottery were shaping the future of the lottery industry. We are passionate about driving innovation as demonstrated by our newest brands Freiheit and Traumhausverlosung which bring fresh and exciting dreams to life. Additionally through ZEAL Ventures we invest in inspiring e-commerce start-ups like Omaze and DAYMADE fueling fresh ideas and opportunities.

Our team of 300 professionals from diverse backgrounds is united by a visionary mindset a passion for collaboration and a commitment to inspire dreams. At ZEAL we empower our people to think ambitiously and work together toward a shared purpose: helping people imagine and achieve their aspirations.

The role:

As an Data Engineer youll be at the forefront of modern data tech driving the development of our data ecosystem. Heres what youll dive into:

Your tasks:

  • Seamlessly collect process store and optimize company data to unlock its full power.

  • Develop cutting-edge data solutions from the ground up collaborating with various stakeholders from design to deployment.

  • Identify automation opportunities for existing and new applications to enhance efficiency.

  • Create a DataOps strategy and champion best practices to ensure data reliability and scalability.

  • Innovate and enhance data quality and architecture within your scope.

  • Push the boundaries of innovation by embracing the latest technologies and methodologies.

What you offer us:

  • Proficiency in Agile Software Development methodologies.

  • Comfortable with Python Kotlin and Golang and eager to explore new data technologies.

  • Proficient in ML frameworks and libraries able to work closely with Data Scientists to optimize data solutions.

  • Technical Chops: Experience in architecting and developing production-grade data solutions.

  • Passionate about working with large-scale datasets highly skilled in SQL and big data tools like Kafka.

  • Proficient in Cloud Data Warehouse systems such as Redshift Snowflake or BigQuery.

  • Familiar with Modern Data Stack Data Mesh GitOps and ideally experienced with dbt.

  • Ability to translate business needs into technical requirements effectively.

  • Strong communication skills in English with a collaborative spirit.

What we offer:

Employment Type

Full-Time

About Company

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