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dataroles

Data Engineer (m/f/d)

Avomind Open · verified Oct 24, 2026
On-site Munich Berlin Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Avomind. Munich · full-time.

Pay not stated Data Engineer salary

RoleData Engineering
SeniorityMid-level
LocationMunich
WorkplaceOn-site
EmploymentFull-time
PostedJun 19, 2026 · 4mo ago
Also hiring inBerlin
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and tune data pipelines and architectures that support analytics and AI use cases
  • Bring data from different sources into usable form for business and analytics needs
  • Develop ETL/ELT workflows that protect data quality, reliability and performance
  • Run cloud data infrastructure and improve it, using container and workflow tools to automate repeatable processes
  • Take data from initial ingestion through production, while helping refine data strategy and practices

What you bring

  • A degree with excellent grades in computer science, data engineering, mathematics or another listed field
  • Strong Python and SQL skills, plus practical experience building ETL/ELT pipelines and workflows
  • Experience with Azure, AWS or GCP, and familiarity with Docker, Airflow and Infrastructure as Code
  • Fluent English and the ability to explain technical subjects clearly

Who this fits

This mid-level role suits someone comfortable owning data work end to end and collaborating with data scientists, consultants and product owners. The position is onsite in Munich.

From the employer

What client look for:

  • You design, build, and optimize scalable data pipelines and architectures that form the foundation for analytics and AI solutions.
  • You ensure that data from various sources is efficiently integrated, transformed, and made available for business and analytics use cases.
  • You collaborate closely with Data Scientists, Consultants, and Product Owners to deliver end-to-end data solutions with measurable business impact.
  • You develop and maintain ETL/ELT processes that ensure data quality, reliability, and performance.
  • You take ownership of cloud-based data infrastructures (Azure, AWS, or GCP) and contribute to their continuous improvement.
  • You leverage containerization and workflow tools (e.g. Docker, Airflow) to build robust, automated, and reproducible systems.
  • You develop solutions with a clear end-to-end mindset, from raw data ingestion to production deployment.
  • You actively contribute to the evolution of our data strategy, tooling, and best practices within Client.

Requirements

What the client requires:

  • You hold a degree with excellent grades in Computer Science, Data Engineering, Information Systems, Mathematics, Physics, or a related field.
  • You have strong experience in Python and SQL as foundational tools for data integration, transformation, and automation.
  • You have hands-on experience in building and managing ETL/ELT pipelines and data workflows.
  • You are experienced with cloud environments (preferably Azure, alternatively AWS or GCP).
  • You are familiar with containerization and workflow orchestration tools such as Docker and Airflow.
  • You have experience with Infrastructure as Code (e.g. Terraform) to manage scalable, reproducible setups.
  • You understand data lakes, data warehouses, and streaming technologies (e.g. Kafka, Kinesis).
  • You ideally have experience with distributed processing systems like Spark, Snowflake, or Databricks.
  • You ensure data quality, observability, and monitoring as integral parts of your solutions.
  • You enjoy cross-functional collaboration with Data Scientists, Product Owners, and clients.
  • You are a service-oriented and communicative team player with a high degree of self-responsibility and passion for your work.
  • You have strong communication and presentation skills, and can explain complex topics clearly.
  • You speak English fluently; regional languages are an advantage.

Benefits

What you can expect:

  • Your impact is crucial: You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation.
  • Your hard work pays off! You benefit from attractive salary packages, participation in sales success, and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits.
  • Your development: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility, and have the opportunity to shape your individual career at the company. You will become a digital leader!
  • Your working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, London, Amsterdam, Milan, and Berlin. 
  • Your view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries.
  • Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships, as well as mobility and meal allowances, and a wide range of other company benefits.
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.