Marketing Services

Bring! Labs AG

51-200

Switzerland

__We build the perfect shopping companions!__



We help brands and retailers to reach out to their existing and future customers. We provide them with the most relevant advertising platform to showcase and promote their products at the right time: during the planning and execution of their household shopping.

## About this role

You will use various methods to transform raw data into useful data systems. For example, you’ll create algorithms and conduct statistical analysis. Overall, you’ll strive for efficiency by aligning data systems with business goals.

The role includes the following:

* Analyze and organize raw data from millions of active users
* Build, maintain and operate data systems and pipelines on AWS
* Evaluate business needs and objectives, map them to requirements
* Strategically align data architecture with company needs and goals
* Detect, investigate and interpret data trends and patterns
* Conduct complex data analysis and report on results

If you would like to know more about the role as Senior Data Engineer at Bring! Labs, then check out our latest video with [Kenner!](https://www.linkedin.com/posts/bring-labs-ag_job-talk-with-bring-labs-i-kenner-estes-activity-7387109276558974976-odR8?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAaxxjYB9BZFb-Gq6bvYhXDW-m-8RSC1I_k)

Requirements

We have high ambitions and the vision to change the way users and customers plan and organize shopping. For this position we are looking for someone with substantial experience in Data Engineering.

You are the right fit if you have:

* Professional experience in Data Engineering using cloud platforms (AWS strongly preferred)
* Data architecture understanding and experience is a must, focused particularly around current concepts of Data Mesh architecture
* Strong Software Engineering skills and expertise with data mining and analytics
* Knowledge of programming languages (e.g. Scala, Python, Java)
* Experience with Apache Spark and Hadoop is highly desirable
* Knowledge of business intelligence tools (e.g. QuickSight, Adverity, Looker) is of advantage
* Hands-on experience with SQL database design
* Understanding, experience, and interest in the possibilities of emerging AI tooling and practices in software engineering
* Great numerical, analytical and statistical skills
* A degree in Computer and/or Data Science would be an advantage
* Business fluent in English, preferably German as well

__Benefits__

At Bring! Labs, we value a professional and open work culture where diverse perspectives and backgrounds are welcome. We offer you an amazing workplace where you can make a direct impact and grow your career. Additionally, we provide:

* A young and rapidly evolving company that empowers employees to make decisions and actively shape our success
* Flexible working hours with the option to work from our offices in Zurich or Basel, as well as partially from home
* Regular team and company events in an environment that actively fosters team spirit
* Environmentally friendly travel options, including a discounted public transport pass (Halbtax) for your commute
* Many cool perks, such as a day off on your birthday, top-notch barista-quality coffee, the latest hardware, home office subsidies, and much more!

_We welcome applications regardless of nationality, ethnic background, age, sexual orientation, gender, disability, or family situation. We also encourage applications from individuals returning to the workforce._ 



Employee

We build the perfect shopping companions!
We help brands and retailers to reach out to their existing and future customers. We provide them with the most relevant advertising platform to showcase and promote their products at the right time: during the planning and execution of their household shopping.
<h2 id="about-this-role">About this role</h2>
You will use various methods to transform raw data into useful data systems. For example, you’ll create algorithms and conduct statistical analysis. Overall, you’ll strive for efficiency by aligning data systems with business goals.
The role includes the following:
<ul>
<li>Analyze and organize raw data from millions of active users</li>
<li>Build, maintain and operate data systems and pipelines on AWS</li>
<li>Evaluate business needs and objectives, map them to requirements</li>
<li>Strategically align data architecture with company needs and goals</li>
<li>Detect, investigate and interpret data trends and patterns</li>
<li>Conduct complex data analysis and report on results</li>
</ul>
If you would like to know more about the role as Senior Data Engineer at Bring! Labs, then check out our latest video with <a target="_blank" rel="noopener nofollow" href="https://www.linkedin.com/posts/bring-labs-ag_job-talk-with-bring-labs-i-kenner-estes-activity-7387109276558974976-odR8?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAaxxjYB9BZFb-Gq6bvYhXDW-m-8RSC1I_k">Kenner!</a>
Requirements
We have high ambitions and the vision to change the way users and customers plan and organize shopping. For this position we are looking for someone with substantial experience in Data Engineering.
You are the right fit if you have:
<ul>
<li>Professional experience in Data Engineering using cloud platforms (AWS strongly preferred)</li>
<li>Data architecture understanding and experience is a must, focused particularly around current concepts of Data Mesh architecture</li>
<li>Strong Software Engineering skills and expertise with data mining and analytics</li>
<li>Knowledge of programming languages (e.g. Scala, Python, Java)</li>
<li>Experience with Apache Spark and Hadoop is highly desirable</li>
<li>Knowledge of business intelligence tools (e.g. QuickSight, Adverity, Looker) is of advantage</li>
<li>Hands-on experience with SQL database design</li>
<li>Understanding, experience, and interest in the possibilities of emerging AI tooling and practices in software engineering</li>
<li>Great numerical, analytical and statistical skills</li>
<li>A degree in Computer and/or Data Science would be an advantage</li>
<li>Business fluent in English, preferably German as well</li>
</ul>
Benefits
At Bring! Labs, we value a professional and open work culture where diverse perspectives and backgrounds are welcome. We offer you an amazing workplace where you can make a direct impact and grow your career. Additionally, we provide:
<ul>
<li>A young and rapidly evolving company that empowers employees to make decisions and actively shape our success</li>
<li>Flexible working hours with the option to work from our offices in Zurich or Basel, as well as partially from home</li>
<li>Regular team and company events in an environment that actively fosters team spirit</li>
<li>Environmentally friendly travel options, including a discounted public transport pass (Halbtax) for your commute</li>
<li>Many cool perks, such as a day off on your birthday, top-notch barista-quality coffee, the latest hardware, home office subsidies, and much more!</li>
</ul>
We welcome applications regardless of nationality, ethnic background, age, sexual orientation, gender, disability, or family situation. We also encourage applications from individuals returning to the workforce.

Senior Data Engineer (m/w/x)

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Customer Support Manager auf Stundenbasis (m/w/x)

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Senior Data Engineer (m/w/x)

Talent Pool (all locations) - Account Manager (m/w/x)

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