Data Engineer

🕒 June 9

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 50%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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LUKA GLOBAL

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2019

🏥 Healthcare

💼 Consulting

📣 Marketing

Healthcare • Consulting • Marketing

LUKA GLOBAL is a talent strategy and recruitment consultancy focused on helping technology startups hire and scale. They offer recruitment and executive search services, recruitment coaching and training, and design and implement recruitment systems (ATS and hiring processes). They specialize in supporting innovators across sectors such as biotechnology, healthtech, and deeptech while providing hands-on coaching so startups can build internal hiring capability.

📋 Description

• 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 • chance to be a central player in the future of healthcare