This is a remote position.
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.
- 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 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.
Requirements
- B.Sc., B.Eng. or higher in Computer Science, Computer / Electronic / Systems Engineering, or similar disciplines.
- Proven experience as a Data Engineer
- 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 (e.g., CNNs, DL Auto-encoders, etc.)
- Knowledge and experience of relevant data, analytics, visualization and ML languages and libraries is important (e.g., Julia/Python, Boto3/Apache Airflow, Parquet, SciPy/NumPy, Pandas/Matplotlib, Keras/TensorFlow, PyTorch, etc.).
- Experience with Model Deployment / ML Ops is desirable. Edge-based inference is also of interest.
- Experience with AWS (Fargate, RDS, EC2, SageMaker, Timestream, EMR, Kinesis, MWAA, etc.), Docker, IaC (Terraform), CI/CD, monitoring and related tooling.
- Experience with Time-Series Data is a bonus.
- Communicating effectively in an interdisciplinary environment (AI/ML, product management, regulatory, clinical).
- Have practical experience with ETL, Data Pipelines and Cloud Deployments.
- Experience in design and building data solutions while ensuring confidentiality, integrity, and availability.
- A strong engineering interest in ML and data science.
- Business proficient in English (spoken and written)
Benefits
The role offers a competitive salary and most importantly the chance to be a central player in the future of healthcare.
Skills Required
- Bachelor’s degree or higher in Computer Science, Computer, Electronic, or Systems Engineering, or a similar discipline
- Proven experience as a Data Engineer
- Experience working with structured, semi-structured, and unstructured data
- Experience creating, cleaning, and curating datasets and databases, including MySQL, PostgreSQL, MongoDB, Redis, Bigtable, or time-series databases
- Experience with serverless or distributed processing, multiprocessing, containers, or Lambda
- Knowledge of workflow scheduling and DAGs, such as Apache Airflow
- Experience with ETL approaches, data pipelines, and cloud deployments
- Exposure to classical and deep learning methods
- Knowledge of data, analytics, visualization, and machine learning languages and libraries such as Python, Julia, NumPy, Pandas, TensorFlow, PyTorch, and Airflow
- Experience designing data solutions that ensure confidentiality, integrity, and availability
- Experience with AWS cloud services, Docker, Terraform, CI/CD, monitoring, and related tooling
- Ability to communicate effectively in an interdisciplinary environment
- Business-proficient English, spoken and written
- Experience with model deployment and MLOps
- Experience with edge-based inference
- Experience with time-series data
- Strong engineering interest in machine learning and data science
What We Do
LUKA GLOBAL GROUP is a European executive-search and talent-management firm supporting deep-tech and life-science startups. It helps early-stage companies recruit the employees needed to drive growth, with a focus on biotechnology, digital health, and medical devices. Through its specialized recruitment activities, the group connects qualified candidates with opportunities across Europe, including roles in emerging healthcare, technology, and research ventures.
