Quick Summary
What We Do Contiamo is a premier consulting firm that brings together an interdisciplinary team of experts in data science, data engineering, mathematics, business consulting, and change management.
As a Python Engineer at Contiamo, your focus is on implementing technical designs and thinking about how components work together while building technical and leadership skills within a learning-focused environment.
Contiamo is a premier consulting firm that brings together an interdisciplinary team of experts in data science, data engineering, mathematics, business consulting, and change management. Our extensive experience allows us to deliver high-quality data solutions, seamlessly integrating deep business know-how.
We collaborate with industry leaders such as Mercedes Benz, CBRE, and Deutsche Telekom to tackle their most pressing business challenges through intelligent data usage. As a trusted partner, we pride ourselves on delivering scalable cloud applications and leveraging open-source tools to find elegant solutions to complex problems.
At Contiamo, our culture thrives on fast iterations and a high-trust environment where everyone is given significant responsibility. We believe in the power of a supportive atmosphere, valuing both individual contributions and the joy of teamwork.
Our projects span a wide range of exciting data use-cases, including:
- Generative AI
- Data and AI strategy
- Data architecture and cloud data warehouse setup
- Building data-intensive applications and algorithms
- Advanced data science and machine learning
Responsibilities
~1 min readAs a Python Engineer at Contiamo, your focus is on implementing technical designs and thinking about how components work together while building technical and leadership skills within a learning-focused environment. You'll shape projects by doing the following:
- →Deliver Robust, High-Quality Solutions: Leverage web technologies, build APIs, work with relational databases, and implement event-driven systems (streams/queues) to create reliable, maintainable software.
- →Leverage Best Practices: Apply learnings of engineering best practices, code quality, and maintainability.
- →Collaborate with Engineering and Data Teams: Work closely with data science and AI teams to deploy Generative AI and ML-based applications.
- →Broaden Technical Leadership Skills: Drive the implementation of project components while supporting other projects through code review, design discussions, and technical spikes.
- →Share Knowledge and Foster Collaboration: Actively participate in company show and tell and engineering sync sessions to share your ideas and recent learnings.
- →Document Solutions: Maintain comprehensive, clear, and well-structured documentation that equips clients and team members to understand and manage their solutions.
- →Engage with Clients: Join client calls or technical workshops to help answer questions and provide technical input.
You've worked in technology long enough to begin approaching development from a systems perspective. You can be an independent problem solver and collaborate effectively with your team. While you may not have mastered everything detailed below, you possess a majority of the following skills:
- Self-driven and curious, with a proactive approach to learning, improvement, and solving problems.
- Good communicator. You know that communicating with engineers, product, business, or finance will look different.
- Demonstrated commitment to quality, and are learning how to better balance speed and reliability.
- Desire to work across the entire spectrum of application development and data engineering from micro apps, distributed systems and streaming data, to data warehousing.
- Advocate for strong typing, type hints, and schema documentation (e.g. OpenAPI). Whatever it takes to have a strong data contract within and between applications.
- Proficient in Python with experience building, debugging, and optimizing APIs, and/or data pipelines.
- Experience with modern technologies and frameworks including FastAPI, PydanticAI, LangChain, OpenTelemetry, Procrastinate, databases like Postgres and Snowflake, queue systems such as SQS / Kafka, and Airflow.
- A commitment to DevOps principles, you care how applications get deployed (e.g., CI/CD, Kubernetes, containerization), and how it impacts application lifecycle.
- Currently in Berlin or willing to relocate. You must have or can obtain an EU work visa.
What We Offer
~1 min read- Screening call (round 0, length: 30)
- Experience assessment call (round 1; length: 45-60)
- Technical assessment (round 2; length: 60)
- Meet the Team / Communication assessment (round: 3; length: 90-120; in-person preferred)
- Optional: Meet the Partners (round: 4; length: 45 - 60; in-person preferred)
Salary Range: 60,000€ - 80,000€
Location & Eligibility
Listing Details
- First seen
- May 5, 2026
- Last seen
- May 6, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- May 6, 2026
Signal breakdown
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