Data Engineer

LUKA GLOBAL; München; Hybrid; EUR 60.000 - 85.000; Vollzeit

Zusammenfassung

LUKA GLOBAL is looking for a Data Engineer to join their Digital Health Start-Up. This role can be based in Munich or fully remote within Europe. The successful candidate will help empower individuals with chronic conditions by building cutting-edge MedTech solutions.

The ideal candidate will have a strong background in data management, cloud technologies, and machine learning. The position offers a competitive salary and an opportunity to impact healthcare significantly.

Qualifikationen

• Proven experience as a Data Engineer.
• Experience with structured, semi-structured, and unstructured data.
• Knowledge of data analytics, visualization, and ML libraries.

Aufgaben

• Develop scalable data management and data processing architectures.
• Manage data acquisition from various sources.
• Integrate ML models and analytic components into workflows.

Kenntnisse

Data management architecture

Data processing architectures

Data governance

Machine Learning

API data acquisition

Cloud technologies

Data pipelines

ETL processes

Data visualization

Python

Ausbildung

B.Sc. or B.Eng. in Computer Science or related

Tools

MySQL

PostgreSQL

MongoDB

Apache Airflow

AWS

Docker

Jobbeschreibung

A Data Engineer is sought to join an expanding Digital Health Start-Up. If you are passionate about building and scaling world-class MedTech products, solving real-world problems and making a difference in patients’ lives this could be the role for you!

The role can be based in Munich or on a fully remote basis within Europe.

The successful candidate will work for a business committed to empowering people living with chronic conditions to manage their own health and lead a quality life by harnessing the power of IoT, sensor, and AI technologies to ensure they get access to the intervention and personalised care they need.

Key responsibilities

• Develop scalable data management and data processing architectures.
• Manage data acquisition from API, batch, event or streaming sources.
• Design and develop data pre- and post-processing stages.
• Plan and design for data governance, security, provenance and the over-all data lifecycle.
• Leverage best-in-class cloud technologies to cater for OLTP and OLAP business needs.
• Integrate ML models and Analytic components into the workflows (including MLOps).
• Work closely with Data Science and Application Development teams in an agile development process.

Skills and experience

• B.Sc., B.Eng. or higher in Computer Science, Computer / Electronic / Systems Engineering, or similar disciplines.
• Proven experience as a Data Engineer.
• A strong engineering interest in ML and data science.
• Experienced with structured, semi-structured and unstructured data (e.g., Relational, JSON, Schema‑less).
• Experience with creating, cleaning and curating datasets and databases such as: MySQL, PostgreSQL, MongoDB, Redis, Bigtable, time‑series databases or similar.
• Serverless/distributed processing experience, e.g., Multiprocessing, containers, lambda or similar.
• Know‑how for scheduling workflows, e.g., DAGs with Apache Airflow.
• Accomplished and versed with various ETL approaches.
• Exposure to classical and deep learning‑based ML methods.
• Knowledge and experience of relevant data, analytics, visualization and ML languages and libraries (e.g., Julia/Python, Boto3/Apache Airflow, Parquet, SciPy/NumPy, Pandas/Matplotlib, Keras/TensorFlow, PyTorch, etc.).
• Experience with AWS (Fargate, RDS, EC2, SageMaker, Timestream, EMR, Kinesis, MWAA, etc.), Docker, IaC (Terraform), CI/CD, monitoring and related tooling.
• Communicating effectively in an interdisciplinary environment (AI/ML, product management, regulatory, clinical).
• Have practical experience with ETL, Data Pipelines and Cloud Deployments.
• Business proficient in English (spoken and written).

The role offers a competitive salary and most importantly the chance to be a central player in the future of healthcare.