Back to jobs

Junior Software Engineer - Data

Berlin · Berlin, Germany

Pay
Pay not listed
Work setting
On-site — work setting source
Location type: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Tech › Data › Data Engineering — team source
Department: Tech › Data › Data Engineering
From the employer’s posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Do you now, or will you in the future require visa sponsorship to be legally employed in Germany? We can usually offer visa sponsorship, but it's helpful to know now so we can plan accordingly.
From the employer’s application form
Apply at Almedia

What you’ll work on

Full posting
  • Build and ship data pipelines that run live in production

  • Build Python services and APIs that other teams rely on

  • Work with operational databases under real production load

  • Add tests, monitoring, and data quality checks

  • Help keep a warehouse of hundreds of terabytes fast and reliable

From the employer’s posting
Build and ship data pipelines that run live in production, from ingestion to storage
Build Python services and APIs that other teams and products rely on.
Work with operational databases and learn to run them under real production load
Build tests, monitoring, and data quality checks that catch problems before a stakeholder has to tell you.
Help keep a warehouse of hundreds of terabytes fast, reliable, and cost-efficient.

What you’ll bring

All qualifications

Core experience

  • Strong Python and SQL
  • Proof of engineering depth: degree, internships, open-source work, or a self-built system
  • Hands-on experience with a database beyond the basics (PostgreSQL, MongoDB, or similar)
  • Debugs rigorously and thinks about reliability
Qualification wording
Strong Python and SQL.
Proof of depth as an engineer: a degree in computer science or a related field, internships, open-source work, a thesis, or a system you built yourself and kept running.
Hands-on experience with a database beyond the basics (PostgreSQL, MongoDB, or similar).
You debug rigorously when things break, and you want to know why before you fix it.

Tools in this posting

  • Python
  • SQL
  • dbt
  • Docker
  • Kafka
  • MongoDB
  • PostgreSQL
  • Terraform
Source — Tool mentions in context
- Build and ship data pipelines that run live in production, from ingestion to storage, across near-real-time and batch workloads. - Build Python services and APIs that other teams and products rely on. - Work with operational databases and learn to run them under real production load: schema design, reliability, and performance.
What You'll Bring - Strong Python and SQL. You use AI tools to move faster, and you still verify the output. - Proof of depth as an engineer: a degree in computer science or a related field, internships, open-source work, a thesis, or a system you built yourself and kept running.
- You think about reliability. You debug rigorously when things break, and you want to know why before you fix it. - Bonus: Kafka or Pub/Sub, dbt, Docker, Terraform, competition results, or a project you built and hardened yourself. Why Almedia
- Proof of depth as an engineer: a degree in computer science or a related field, internships, open-source work, a thesis, or a system you built yourself and kept running. - Hands-on experience with a database beyond the basics (PostgreSQL, MongoDB, or similar). You understand schemas, indexes, and what breaks under load. - You get going on a vague problem without waiting for a spec, and you take it further than you were asked.

Posting record

Report an error
Status in our records
Live
First seen by us
Oct 14, 2026 · 15 days ago
Recorded sightings
19
Last seen by us
Oct 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.

Already applied? Track this application

Job description

View original posting ↗

This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000).

We are building the future of marketing by rewarding our community of over 95 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world.

Berlin, On-site Top-of-Market Compensation - Exceptional commitment deserves exceptional reward

 

Most junior data engineers start by maintaining pipelines someone else designed, working through a ticket queue, and sitting several steps away from the product. Here, you'll build the pipelines and services that run live and feed what millions of users see every day. You'll take the engineering fundamentals you've built and apply them to problems at scale. Your first 12 months compress what takes 3 years elsewhere.

 

You'll join a small team of engineers who have built and run data platforms at scale. You'll work on real problems from week one with the support to solve them. Show us you can own more, and we'll give you more.

 

What You'll Do

  • Build and ship data pipelines that run live in production, from ingestion to storage, across near-real-time and batch workloads.

  • Build Python services and APIs that other teams and products rely on.

  • Work with operational databases and learn to run them under real production load: schema design, reliability, and performance.

  • Build tests, monitoring, and data quality checks that catch problems before a stakeholder has to tell you.

  • Help keep a warehouse of hundreds of terabytes fast, reliable, and cost-efficient.

  • Own undefined data problems from first idea to production. No playbook. You own it all.

 

What You'll Bring

  • Strong Python and SQL. You use AI tools to move faster, and you still verify the output.

  • Proof of depth as an engineer: a degree in computer science or a related field, internships, open-source work, a thesis, or a system you built yourself and kept running.

  • Hands-on experience with a database beyond the basics (PostgreSQL, MongoDB, or similar). You understand schemas, indexes, and what breaks under load.

  • You get going on a vague problem without waiting for a spec, and you take it further than you were asked.

  • You think about reliability. You debug rigorously when things break, and you want to know why before you fix it.

  • Bonus: Kafka or Pub/Sub, dbt, Docker, Terraform, competition results, or a project you built and hardened yourself.

 

Why Almedia

  • Grow at Almedia: profitable from launch, higher revenue per employee than Big Tech.

  • Sharp, small team: we keep it small on purpose, every hire raises the bar.

  • Equity: every Berlin employee gets a stake.

  • Top-of-market baseline. Deliver outlier impact, earn accordingly.

 

Small team, high bar. Growing at scale. If that sounds like home, apply.

We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Berlin, Germany

We are building the future of marketing by rewarding our community of over 95 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world. Berlin, On-site Top-of-Market Compensation - Exceptional commitment deserves exceptional reward Most junior data engineers start by maintaining pipelines someone else designed, working through a ticket queue, and sitting several steps away from the product. Here, you'll build the pipelines and services that run live and feed what millions of users see every day. You'll take the engineering fundamentals you've built and apply them to problems at scale. Your first 12 months compress what takes 3 years elsewhere.
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.