(senior) Data Engineer (m/f/d) - Service Configuration Intelligence Team

Join Us as a (Senior) Data Engineer

Our Service Configuration Intelligence Team brings together analysts, data scientists, and data engineers who transform complex data into actionable insights. Our mission is to empower decision-makers with fast, reliable, data-driven guidance that optimizes our services and enables ambitious goals. We build the tools and products that are essential for steering and monitoring our service: intuitive dashboards, robust reporting, and predictive models—especially around demand prediction.

We're looking for a (Senior) Data Engineer with strong technical expertise and a true enablement mindset. In this role, you'll apply modern data engineering and software engineering principles to build production-grade decision-support products. You will work in a cross-functional team where analysts, data scientists, and data engineers all contribute code. If you're passionate about building stable, scalable data products with real impact, we'd love to talk.

What You Will Do

Contribute to our end-to-end product development, applying a broad range of data and software engineering skills—from pipeline deployment and data processing to user-facing applications.

Design and build infrastructure in our cloud-native AWS environment to enable production-ready data products (KPI reporting pipelines, dashboards, data-science models).

Develop high-quality, maintainable code using CDK/TypeScript, Python, DBT, and other modern tools that fit the problem.

Work closely with engineers, analysts, and product managers in an agile, outcome-driven environment.

Shape and champion software engineering excellence, including pair-programming and code reviews.

Mentor and support team members, fostering technical growth, knowledge sharing, and best practices across the team.

What Will Help You to Fulfill Your Role

Broad experience with AWS cloud services (e.g., Batch, Lambda, CloudWatch, Athena, Bedrock) and their use in production environments.

Expertise in TypeScript and infrastructure development using AWS CDK, as well as deploying services to production with Docker and GitHub-based CI/CD pipelines.

Senior-level mastery of Python (especially for data tooling), including experience building and maintaining modular, production-ready codebases.

Good understanding of software architecture and strong foundation in agile software development.

Familiarity with monitoring, logging, and alerting concepts, plus common Python developer tooling (e.g., poetry, pytest, flake8).

Experience building APIs (REST or GraphQL) or frontend applications (React) is a plus.

Experience collaborating with data-focused roles (analysts, scientists, ML engineers) is helpful but not required.

Fluent English skills, both written and verbal.

We welcome applicants from diverse backgrounds—even if you don't meet every requirement. If you're excited about the role and MOIA's mission, we'd love to hear from you!