Data Engineer - Data & Insights

Berlin

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Adjust

Adjust is your end-to-end solution for every stage of the app marketing journey. Measure, optimize, and scale app growth across platforms with our award-winning technology.

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Adjust is the mobile marketing analytics platform trusted by growth-driven marketers around the world, with solutions for measuring and optimizing campaigns and protecting user data. Adjust powers thousands of apps with built-in intelligence and automation, backed by responsive global customer support. 

In 2021, Adjust was acquired by AppLovin, a leading marketing software company providing developers with a powerful, integrated set of solutions to grow their mobile apps. 

 

Your role:

As a Data Engineer you will be part of the Data & Insights team, which helps Adjust make data-driven decisions and drive business growth. Your main job will be to help build the right data architecture ensuring data correctness and availability for analysts and stakeholders. The size of our databases, some of which are on the petabytes-scale, will be a big technical challenge. Our team consists of Data Analytics Engineers, Data Analysts and Data Scientists who build self service tools, provide analysis, and contribute significantly to our data-driven culture by focusing on impact and not output.

 

Your responsibilities: 

  • Helping the team improve and build a data architecture that supports both complex analytical queries on the one hand and fast online analytics with columnar databases and dashboarding tools on the other
  • Acting as a bridge between the data science and engineering teams
  • Building data pipelines that apply business logic, including making choices about levels of aggregation, grouping and transforming fields, and being responsible for data quality
  • Developing custom data integrations and work closely with stakeholders to understand their needs
  • Helping automate reporting and analytics tasks

 

What you bring:

  • 5+ years of previous experience in a Analytics Engineer role
  • Fluency in Python and very strong in SQL
  • Extensive experience with Postgres and fast columnar databases like Clickhouse
  • Familiarity with orchestration tools such as Airflow and Luigi
  • Clear communication in written and verbal English
  • Strong analytical and problem solving skills and an educational background in a quantitative field
  • Exposure to various with BI data architectures and can bring a first principles mindset to bear on the unique technical challenges at Adjust 

 

What’s in it for you:

  • Opportunity to make an impact on the ad-tech industry working for a forward-thinking leader in the space
  • International, diverse teams with a strong focus on transparency, feedback and fun
  • Education budget for ongoing professional development & continuous learning
  • A three-week onboarding program like no other, where you’ll learn the ins-and-outs of our product
  • Flexible, family-friendly work schedule and vacation policy
  • Childcare program, paid parental leave
  • Free language classes
  • Additional private health insurance
  • Company Pension Plan with 40% employer contribution
  • Discounted Gym Membership with Urban Sports Club
  • Free annual BVG transportation ticket 
  • Mental health support with qualified therapists
  • WFH program with remote online events (workouts, coffee chats, team events, games, etc.)
  • Flexible work from home policy, where you choose how many days within the week to work from the office or from home
  • Relocation package and visa assistance for you and your family

 

More details about our company culture and perks can be found on our career page, or have a sneak peek of our office in Berlin.

Interested?  Let's Talk! 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow Data Analytics Data pipelines Engineering Pipelines PostgreSQL Python SQL

Perks/benefits: Career development Fitness / gym Flex hours Flex vacation Health care Home office stipend Parental leave Relocation support Team events

Region: Europe
Country: Germany
Job stats:  14  4  0
Category: Engineering Jobs

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