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Intern – Data Analytics
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Internship — employment source
Employment type in the employer’s posting: Intern / Student
From the employer’s posting
Before you apply
- New graduates
- For current students
Job title: Intern – Data Analytics (m/f/d)
What you’ll work on
Full postingDesign and implement data pipelines from robotics fleet management, CRM and other systems
Create and maintain data lakes and databases for large, changing data volumes
Build and maintain APIs and backend services, such as with FastAPI
Support data quality, reliability and documentation
Develop new features for the data platform
From the employer’s posting
Design and implement data pipelines that integrate data from robotics fleet management, CRM tools, and other business systems
Create and maintain data lakes and databases that handle large volumes of data with diverse and evolving schemas.
Build and maintain APIs and backend services using tools such as FastAPI to make data accessible across applications.
Support data quality, reliability, and documentation
Develop new features for our data platform
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 20266 days ago
- Recorded sightings
- 6
- Last seen by us
- Nov 3, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Idealworks is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Docker
- Airflow
- FastAPI
Where the posting names them
- You are at an advanced stage of your studies in computer science, data engineering, data science, robotics, or a related field. - Proficiency in Python, Git and Docker. - Working knowledge of SQL and an understanding of databases and data processing fundamentals.
- Proficiency in Python, Git and Docker. - Working knowledge of SQL and an understanding of databases and data processing fundamentals. - An interest in building data systems and infrastructure, from integrating sources to making data available for different use cases.
- Support data quality, reliability, and documentation, helping teams work with consistent and trustworthy data. - Explore and work with AWS services to support our data infrastructure and workflows. Role Requirements: What you need to succeed
- A proactive, problem-solving approach and the ability to work effectively in a team. - Ideally, familiarity with FastAPI, AWS, & workflow orchestration tools such as Apache Airflow. Why idealworks
- Create and maintain data lakes and databases that handle large volumes of data with diverse and evolving schemas. - Build and maintain APIs and backend services using tools such as FastAPI to make data accessible across applications. - Support data quality, reliability, and documentation, helping teams work with consistent and trustworthy data.
Your next step
Complete your application on idealworks.jobs.personio.de. The employer’s form will show what is required.
Applying through Personio
- No account needed. The 20 MB limit covers all your files together, not each one.
Already applied? Track this application
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
The Role: What to expect
Role Responsibilities: What you will do
Role Requirements: What you need to succeed
Why idealworks
Role Responsibilities: What you will do
- Design and implement data pipelines that integrate data from robotics fleet management, CRM tools, and other business systems.
- Develop new features for our data platform, supporting data collection, processing, storage, and access.
- Create and maintain data lakes and databases that handle large volumes of data with diverse and evolving schemas.
- Build and maintain APIs and backend services using tools such as FastAPI to make data accessible across applications.
- Support data quality, reliability, and documentation, helping teams work with consistent and trustworthy data.
- Explore and work with AWS services to support our data infrastructure and workflows.
Role Requirements: What you need to succeed
- You are at an advanced stage of your studies in computer science, data engineering, data science, robotics, or a related field.
- Proficiency in Python, Git and Docker.
- Working knowledge of SQL and an understanding of databases and data processing fundamentals.
- An interest in building data systems and infrastructure, from integrating sources to making data available for different use cases.
- A proactive, problem-solving approach and the ability to work effectively in a team.
- Ideally, familiarity with FastAPI, AWS, & workflow orchestration tools such as Apache Airflow.
Why idealworks
- At idealworks, you will find an international working environment and become part of an experienced, open team where mutual trust counts. You will feel at home from the very first second!
- Experience a first-hand start-up feeling and flat hierarchies with varied and responsible tasks that you work on independently.
- Benefit from flexible working hours with a 35-hour workweek, helping you maintain a healthy work-life balance.
- Whether you’re looking for a voluntary internship or a mandatory internship, we offer attractive compensation.
- We offer exciting corporate benefits and monthly team events.
- Our modern office is easily accessible by public transport, bike and car and offers numerous catering options for relaxed lunch breaks with your team.
- Driven by our unique corporate culture, the five values "passion for results", "wellbeing", "personal growth", "trust" and "being and acting as one team" determine our daily actions and cooperation.
Source details
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- Pay
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- Location & working pattern
München
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