Born

Softwareentwicklung

11-50

Co-Founder & CEO

Deutschland

SLAY, founded in December 2022, has swiftly made its mark in the mobile world. In 2023, we developed several apps and games that reached the #1 spot in the App Store across 3 continents.

Backed by some of the world's most esteemed investors, including Accel, Scooter Braun, Scott Belsky, and Ilkka Paananen, SLAY is rapidly growing and reaching millions of users. We're looking to bring together the smartest individuals to achieve our mission to redefine the social gaming landscape.

## Aufgaben

**Responsibilities:**

**Crafting Robust Data Ecosystems:**  
Step into the dynamic world of data engineering with us and elevate our analytics ecosystem to new heights. As a data engineer, you will design and develop data models, data pipelines, and ELT processes to extract, load, and transform data from various sources. Your deep understanding of data systems fundamentals will empower you to optimize for efficiency and performance, ensuring our global audience enjoys high-quality, reliable data.

**Collaborating Across Functions:**  
Your technical prowess will be vital in bridging the gap between data requirements and business objectives. By leveraging your professional or academic experience, you’ll collaborate with cross-functional teams to understand data needs and develop comprehensive data solutions. Your contributions will ensure seamless and uniform data availability and integrity across all business units.

**Building Scalable Data Solutions:**  
As a seasoned data engineer, your expertise in scalable data storage solutions, data warehousing, and data architecture will set the stage for high-quality data availability and integrity. We’re not just building databases; we’re creating efficient and scalable data ecosystems. Your passion for optimizing data processing and transformation processes will drive performance and scalability, ensuring our systems remain at the cutting edge.

**Ensuring Data Quality and Governance:**  
Implement best practices for data governance, data security, and data privacy, ensuring compliance with relevant regulations and industry standards. Conduct data quality assessments, identify inconsistencies, and implement data cleansing and validation techniques. Your meticulous attention to detail will safeguard the integrity of our data assets.

**Driving Innovation in Data Engineering:**  
Stay up-to-date with emerging trends and technologies in data engineering, analytics, and industry practices. At our company, we are committed to pushing the envelope, not just in technology, but in our team’s growth and development. We thrive on innovation and the continuous evolution of our skill set. Share with us the data solutions you’ve brought to life; we can’t wait to see the impact you’ll bring to our team.

## Qualifikation

*   Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field. A Master’s degree is a plus.
*   Proven experience (2-5 years) as a data engineer
*   Strong proficiency in SQL and database technologies (e.g., MySQL, Snowflake) for data extraction, manipulation, and optimization.
*   Proficiency in programming languages such as Python or Scala for data processing, scripting, and automation.
*   Experience with ELT tools (e.g., FiveTran, Airflow, DBT) and data integration techniques.
*   Understanding of data modeling, data warehousing, and dimensional modeling concepts.
*   Knowledge of data visualization tools (e.g., Power BI, Looker Data Studio) and data pipeline orchestration tools (e.g., Apache Airflow) is a plus.
*   Strong analytical skills with the ability to translate business requirements into data engineering solutions.
*   Excellent problem-solving abilities, attention to detail, and ability to work independently or in a team.
*   Effective communication and interpersonal skills to collaborate with stakeholders at all levels.

## Benefits

*   **Salary:** You'll earn more than in your previous job.
*   **Prime Berlin Office**: Our Berlin Mitte office boasts state-of-the-art amenities, including Apple Studio Displays and Herman Miller chairs.
*   **Full Commute Reimbursement**: We cover 100% of your commuting costs.
*   **Gym Membership**: Stay fit and healthy on us.
*   **Visa Sponsorship & Assistance**: We support your visa process and guide you through all the paperwork.
*   **Stock Options**: Benefit from our competitive stock option program.
*   **Bureaucratic Support**: Assistance with German social security, tax forms, and other necessary paperwork.

Angestellte/r

SLAY, founded in December 2022, has swiftly made its mark in the mobile world. In 2023, we developed several apps and games that reached the #1 spot in the App Store across 3 continents.
Backed by some of the world&#39;s most esteemed investors, including Accel, Scooter Braun, Scott Belsky, and Ilkka Paananen, SLAY is rapidly growing and reaching millions of users. We&#39;re looking to bring together the smartest individuals to achieve our mission to redefine the social gaming landscape.
<h2 id="aufgaben">Aufgaben</h2>
Responsibilities:
Crafting Robust Data Ecosystems: Step into the dynamic world of data engineering with us and elevate our analytics ecosystem to new heights. As a data engineer, you will design and develop data models, data pipelines, and ELT processes to extract, load, and transform data from various sources. Your deep understanding of data systems fundamentals will empower you to optimize for efficiency and performance, ensuring our global audience enjoys high-quality, reliable data.
Collaborating Across Functions: Your technical prowess will be vital in bridging the gap between data requirements and business objectives. By leveraging your professional or academic experience, you’ll collaborate with cross-functional teams to understand data needs and develop comprehensive data solutions. Your contributions will ensure seamless and uniform data availability and integrity across all business units.
Building Scalable Data Solutions: As a seasoned data engineer, your expertise in scalable data storage solutions, data warehousing, and data architecture will set the stage for high-quality data availability and integrity. We’re not just building databases; we’re creating efficient and scalable data ecosystems. Your passion for optimizing data processing and transformation processes will drive performance and scalability, ensuring our systems remain at the cutting edge.
Ensuring Data Quality and Governance: Implement best practices for data governance, data security, and data privacy, ensuring compliance with relevant regulations and industry standards. Conduct data quality assessments, identify inconsistencies, and implement data cleansing and validation techniques. Your meticulous attention to detail will safeguard the integrity of our data assets.
Driving Innovation in Data Engineering: Stay up-to-date with emerging trends and technologies in data engineering, analytics, and industry practices. At our company, we are committed to pushing the envelope, not just in technology, but in our team’s growth and development. We thrive on innovation and the continuous evolution of our skill set. Share with us the data solutions you’ve brought to life; we can’t wait to see the impact you’ll bring to our team.
<h2 id="qualifikation">Qualifikation</h2>
<ul>
<li>Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field. A Master’s degree is a plus.</li>
<li>Proven experience (2-5 years) as a data engineer</li>
<li>Strong proficiency in SQL and database technologies (e.g., MySQL, Snowflake) for data extraction, manipulation, and optimization.</li>
<li>Proficiency in programming languages such as Python or Scala for data processing, scripting, and automation.</li>
<li>Experience with ELT tools (e.g., FiveTran, Airflow, DBT) and data integration techniques.</li>
<li>Understanding of data modeling, data warehousing, and dimensional modeling concepts.</li>
<li>Knowledge of data visualization tools (e.g., Power BI, Looker Data Studio) and data pipeline orchestration tools (e.g., Apache Airflow) is a plus.</li>
<li>Strong analytical skills with the ability to translate business requirements into data engineering solutions.</li>
<li>Excellent problem-solving abilities, attention to detail, and ability to work independently or in a team.</li>
<li>Effective communication and interpersonal skills to collaborate with stakeholders at all levels.</li>
</ul>
<h2 id="benefits">Benefits</h2>
<ul>
<li>Salary: You&#39;ll earn more than in your previous job.</li>
<li>Prime Berlin Office: Our Berlin Mitte office boasts state-of-the-art amenities, including Apple Studio Displays and Herman Miller chairs.</li>
<li>Full Commute Reimbursement: We cover 100% of your commuting costs.</li>
<li>Gym Membership: Stay fit and healthy on us.</li>
<li>Visa Sponsorship &amp; Assistance: We support your visa process and guide you through all the paperwork.</li>
<li>Stock Options: Benefit from our competitive stock option program.</li>
<li>Bureaucratic Support: Assistance with German social security, tax forms, and other necessary paperwork.</li>
</ul>

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