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Senior Data Engineer (m/f/d)

at freeletics

Posted: 10/8/2019
Job Status: Full Time
Job Reference #: 2ca45f7a-f16d-46fb-91fc-e7593bcb5811
Keywords: engineer, modeling

Job Description

Senior Data Engineer (m/f/d)

Munich
Data & Finance
Full-time

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Our vision at Freeletics is to challenge and inspire people around the world to become the greatest version of themselves, both physically and mentally. We build products and experiences that improve people's lives through physical exercise, nutrition guidance and education. By doing this, we have created a unique and passionate community of over 38 million users worldwide, who all want to change their lifestyle for the better. By combining sports science, AI technology and long-term behavior change, we are creating a truly unique movement in the health and fitness space

As a Senior Data Engineer you work with the team towards building solutions and tools to process large amounts of data. You are a hands-on engineer with a business sense and able to discuss data topics with business stakeholders, like the product and the marketing teams.

Within the data team we strive to use the latest state of the art technologies and tools with AWS, machine learning technologies, or other automation tools, and you will be given the freedom to define and apply best practices to help Freeletics becoming a data driven company.

Your responsibilities

Design, build and maintain all aspects from how data is collected and processed to data reporting and analytics

Build and maintain scalable, real time, Big Data systems with minimal maintenance effort
Work together with analysts, data scientists and other stakeholders across teams to fulfill their data needs
Create a data pipeline with excellent data quality and availability
Import data from various external and internal sources, including big data platforms or non-relational databases
Apply the best tools to make things automated as much as possible and fast on infrastructure level

Your profile

3+ years of experience in data architecture, data modeling and schema design You have developed or been part of delivering data product within a heavy user product

Experienced in designing and launching new and existing ETL processes and models in production
You possess a deep knowledge of data structures and algorithms and understand their impact while building data pipelines
You have a hands-on experience preferably in Python or Java
You built and deployed a large scale distributed data systems
You took part in designing, tuning and maintaining production systems
You have exposure to AWS data services and technologies (Glue, Kinesis)
Excellent communication skills

Your benefits

Competitive salary and pension, with regular compensation reviews

MacBook Pro and your choice of other hardware
Team events (offsite, lunches, conferences, and more)
Conference, education, and book budget
Company events (hiking, Octoberfest, holiday party, and more)
Bi-annual in-house hackathons
Childcare and transportation allowance
Free food and drinks in a fully equipped kitchen
World-wide accident insurance
Training space, yoga, lockers, showers, and laundry service
27 vacation days and 13 public holidays
Home office policy
The option to take a sabbatical after your second year
Relocation allowance

See life at Freeletics for yourself

here

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