Data Engineer

About LUKA GLOBAL

LUKA GLOBAL is an expanding Digital Health Start-Up committed to empowering people living with chronic conditions. They harness the power of IoT, sensor, and AI technologies to ensure patients receive the intervention and personalized care they need, enabling them to manage their own health and lead a quality life.

If you are passionate about building and scaling world-class MedTech products, solving real-world problems, and making a difference in patients’ lives, this Data Engineer role could be for you!

Key Responsibilities

• Develop scalable data management and data processing architectures.
• Manage data acquisition from API, batch, event, or streaming sources.
• Develop processes for data aggregation.
• Design and develop data pre- and post-processing stages.
• Plan and design for data governance, security, provenance, and the overall data lifecycle.
• Leverage best-in-class cloud technologies to cater to 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).

Work Environment and Compensation

This role offers a competitive salary and, most importantly, the chance to be a central player in the future of healthcare. The position can be based in Munich or on a fully remote basis within Europe.

Key skills/competency

• Data Engineering
• Cloud Architecture
• MLOps
• ETL
• Data Governance
• AWS
• Python
• Apache Airflow
• SQL/NoSQL
• Big Data