Data Engineer with DevOps experience

Data Engineer with DevOps experience

Hybrid | Wrocław | B2B: 30–35 €/h | Long-term collaboration

About PeakData

At PeakData, we don’t just analyze numbers – we shape the future of healthcare.

We are a Swiss technology company with 7 years on the market. Half of the TOP 20 global pharma companies are our clients, and with a new global player joining, we are expanding our team.

PeakData is a stable, financially solid company, and we’re looking for someone who wants to join us for the long term. This is not a short project – we want you to grow with us in a supportive, international environment.

Role Overview

We’re looking for a Data Engineer with DevOps experience to help us build and scale our internal data platform supporting med-pharma projects.

This role bridges two worlds — data engineering (pipeline design, integration, optimization) and DevOps practices (CI/CD, monitoring, infrastructure automation).

You’ll work in an end-to-end full-stack data team responsible for development, testing, documentation, and user guides for our internal data systems.

Key Responsibilities

• Design, build, and maintain data pipelines (ETL/ELT) in AWS

• Develop and automate data integration and transformation processes in Python

• Apply DevOps principles – CI/CD, observability and infrastructure automation

• Manage and optimize cloud resources for performance, reliability and cost-efficiency

• Contribute to infrastructure as code (Terraform) and containerized deployments (Docker/Kubernetes)

• Collaborate with cross-functional teams on architecture, testing and documentation

We’re Looking For

We’re looking for a hands-on Data Engineer with DevOps experience who combines strong technical skills with a passion for automation and cloud technologies.

You’ll work with modern data tools, AWS infrastructure and DevOps practices in a production environment.

Someone who has:

• Curiosity and willingness to experiment with new tools and technologies

• Growth mindset, especially in areas like automation, CI/CD and cloud infrastructure

• Analytical thinking – you like to understand how systems behave and why certain solutions work better than others

• Ownership and independence – you can organize your work, make technical decisions and deliver results without constant supervision

• Team player attitude – you collaborate easily, share knowledge and support others in finding the best solutions

• Clarity in communication – you can explain technical concepts and architectural choices in a clear, structured, and simple way

Must-have

• Strong Python skills (FastAPI, Flask, asyncio)

• Minimum 3 years of experience with AWS, including S3, Lambda, IAM, monitoring and Bedrock

• Proven experience in building and maintaining ETL/ELT pipelines

• Practical knowledge of Docker and Kubernetes for deployment and scaling

• Experience with Terraform (IaC) and infrastructure automation

• Ability to write automated tests and maintain clear technical documentation

Nice to have

• Experience with CI/CD pipelines (GitHub Actions, GitLab)

• Experience using LLM-based tools (e.g. GitHub Copilot, Cursor) to support coding, automation or data workflows

• Familiarity with GCP (BigQuery, Vertex AI, Gemini LLM – focused on data processing)

• Knowledge of cloud cost optimization, monitoring, and alerting tools (CloudWatch, Prometheus, Grafana)

• Experience in automating data analysis workflows or building ML-assisted processes

What You’ll Get

• Attractive pay model – B2B (30–35 €/h), you issue a net invoice – VAT is handled on the Swiss side

• Stability meets innovation – yes, we have startup energy, but also the trust of the industry: half of the world’s Top 20 pharma companies already work with us

• Team that values YOU – inclusive, open-minded and giving space for your ideas and creativity

• Balance of stability and energy – clear processes, global clients, and the freedom to experiment with new technologies

• Visible impact – your work will directly support decisions in the pharmaceutical sector and help improve patient outcomes worldwide

• Hybrid model – work mostly remotely, with one day per week in our Wrocław office for collaboration and team sessions

• Continuous learning – we actively support your growth in LLM, AI and automation, with access to the latest tools and frameworks

• Modern tech environment – the newest generation of LLM tools at your disposal

• Ownership and autonomy – we trust your expertise and give you the space to design, build and improve

• Work-life balance that actually works – flexible core hours (9:00–15:00) and a results-driven culture

✨ Join PeakData and help us shape the data backbone of global healthcare.