8 days ago

Junior Data Engineer

Statista

On Site
Full Time
€50,000
Hamburg, Hamburg, Germany

Job Overview

Job TitleJunior Data Engineer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary€50,000
LocationHamburg, Hamburg, Germany

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Job Description

About Statista

At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions.

Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees.

We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team.

Are you ready to join us?

Your Role as a Junior Data Engineer

  • Work collaboratively with our data sourcing and architecture teams to build a state-of-the-art data publishing infrastructure for existing and future products
  • Build and maintain data pipelines that scale Statista’s content management and production
  • Develop reliable data orchestration workflow to ensure and support the automated publishing processes of Statista’s content teams
  • Proactively analyze established processes in our content and data teams to identify opportunities for optimization and automation
  • Monitor and optimize data infrastructure to ensure high availability, performance, and security
  • Stay up-to-date with important developments in AI & Automation to ensure constant revision and upgrades of our services and tools.

Your Profile

  • You are comfortable in developing ETL processes and data automation processes using Python
  • Proficiency in workflow orchestration, containerization and version control tools (e.g. Apache Airflow, Docker or git)
  • You have a good command of SQL for data manipulation and querying
  • You have a good understanding of data modelling and architecture, with a strong interest in best practices.
  • You have some experience in cloud services and infrastructure (e.g. AWS: ECS, EC2 & RDS); Infrastructure-as-Code is a plus
  • You have excellent spoken and written English skills

What We Offer

In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:

  • Work from abroad up to 30 calendar days a year
  • Hybrid work and flex-time
  • International team and social events
  • Subsidized urban mobility and access to fitness and wellness options
  • Free access to Langdock and all its amazing functionalities
  • Career & training opportunities
  • Attractive locations and modern offices
  • Mental health support with OpenUp

Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.

Key skills/competency

  • Python
  • ETL
  • Data Pipelines
  • Workflow Orchestration
  • Containerization
  • Version Control (Git)
  • SQL
  • Data Modeling
  • Cloud Services (AWS)
  • Infrastructure-as-Code

Tags:

Junior Data Engineer
Data pipelines
ETL
Data automation
Workflow orchestration
Optimization
Data architecture
Monitoring
Security
Content management
Data publishing
Python
Apache Airflow
Docker
Git
SQL
AWS
ECS
EC2
RDS
Infrastructure-as-Code

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How to Get Hired at Statista

  • Research Statista's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Highlight Python, ETL, SQL, and AWS experience relevant to data engineering.
  • Showcase data passion: Emphasize projects involving data processing, automation, and infrastructure.
  • Prepare for technical deep dives: Be ready for questions on data pipelines, SQL querying, and cloud services.
  • Demonstrate problem-solving: Discuss examples of optimizing data processes or ensuring data reliability.

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