Lead Data Engineer

Job Description

Our mission at Freeletics is to challenge and inspire people around the world to become the greatest version of themselves. With over 33 million users today and rapidly growing, we build products and services that enhance the lives of our customers through physical exercise and nutritional health. By combining health science, machine learning, and behaviour change we are creating a unique, global company in the health and fitness space

The data science, analytics, engineering and training experience team at Freeletics builds capabilities around improving our coach machine learning algorithms, predictive analytics, discovering data sources and integrating new information into our established cloud-based data warehouse, and being the force towards data driven decision making process

As a Lead Data engineer you will lead our data engineering team towards building solutions and tools to process large amounts of data. You are not only a hands-on engineer, but a leader with a strong business sense and strategic thinking 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 for AWS, machine learning technologies, or other automation tools, and you will be given full ownership to make a decision about how to become a data driven company

Your responsibilities

• Build scalable, real time, Big Data systems with minimal maintenance effort
• Work together with analysts, data scientists and other stakeholders across teams to fulfil their data needs
• Create a data pipeline with excellent data quality and availability
• Design and implement a holistic data system strategy and be able to communicate and align with management and main stakeholderLead and develop a team of data engineers
• Apply the best tools to make things automated as much as possible and fast on infrastructure level

Your profile

• You have 5+ years of experience in data architecture, data modeling, schema design and effective project management skills within the big data realm
• You have developed or been a key influential member in delivering data product within a heavy user product
• You are skilled in designing and launching new and existing ETL processes and models in production
• You possess an understanding of business needs and impact
• You are a hands-on engineer and lead by example
• 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
• Computer science or any other related degrees

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

Interested in this position?

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Job Location

Lothstraße 5
München

Additional Job Details

Employment Type:
Full Time