Data Engineer Healthcare (mfd)

Statista; Berlin; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading global data platform in Berlin is searching for a Data Engineer to take ownership of data ingestion and platform reliability. This role involves designing scalable data pipelines and collaborating with Analytics Engineers and Data Scientists to ensure high-quality healthcare data. Ideal candidates will have over 3 years of experience in data engineering, proficiency in Python and SQL, and familiarity with AWS services. The position offers hybrid working options and various employee benefits.

Leistungen

Work from abroad up to 30 calendar days a year

Hybrid work and flex-time

Social events

Subsidized urban mobility

Access to fitness and wellness options

Career & training opportunities

Modern offices

Qualifikationen

• 3 years of experience in data engineering with production pipelines.
• Healthcare domain experience is a plus.
• Strong ability to transform complex data into actionable insights.

Aufgaben

• Design and operate scalable batch/streaming data pipelines.
• Drive cross-functional collaboration for data solutions.
• Enhance data management in the data warehouse.

Kenntnisse

Data Ingestion / ELTs and Orchestration

Cloud Platform Expertise (AWS)

CI / CD and Automation

Infrastructure as Code (IaC)

Analytical mindset

Ausbildung

Bachelor's or Master's in Computer Science, Data Science, Engineering

Tools

Python

SQL

AWS Services (Snowflake, S3, EC2, ECS)

Terraform

Jobbeschreibung

At Statista were all about facts and data for we are the worlds leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services we empower people worldwide to make fact-based decisions.

Founded in Hamburg in 2007 we have quickly grown into a global company with offices in major cities such as London New York Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success but also keeps creating new development and career opportunities for our employees.

We value and celebrate our diverse culture. You are welcome here for who you are no matter where you come from what you look like or whether you prefer bar graphs to pie charts. Your story matters keep writing it as part of our team.

Are you ready to join us

About Statista Healthcare

Statista Healthcare is a vertical business unit of Statista focused on making healthcare quality transparent measurable and comparable across countries care settings and specialties. We work with leading healthcare stakeholders worldwide to support data-driven quality measurement and transformation by combining in-depth analytical expertise with scalable technology and communication power.

Our offerings span international rankings ratings benchmarking studies and customized consulting projects. Our global healthcare rankings and hospital ratings are published in collaboration with our trusted media partner Newsweek enabling high visibility and credibility across markets.

We help healthcare organizations define relevant key performance indicators validate and harmonize data structures and translate insights into actionable strategies. At the heart of our approach is a data driven understanding of healthcare quality grounded in robust methodologies global comparability and stakeholder trust.

In our consulting projects we support healthcare providers and systems in developing tailored KPI frameworks standardizing and validating data processes and deriving actionable insights that enable measurable improvements in patient care and system-level performance. We combine structured methodologies with hands‑on delivery to unlock the full value of healthcare quality data.

Your Role

As the Data Engineer on our Healthcare Platform youll own data ingestion and platform reliability end-to-end: designing and operating scalable batch / streaming pipelines hardening orchestration ensure data quality security and cost efficiency. Youll partner closely with our Analytics Engineer (who leads data modeling) to deliver clean well-governed datasets and with Data Scientists and Data Analysts to make high-quality healthcare data accessible and trustworthy for analysis and products.

Key Responsibilities

• Develop and optimize ELTs to integrate new data sources and enhance data management in the data warehouse (DWH) and other systems
• Drive cross‑functional collaboration with engineering data science and analysis teams to deliver documented reproducible datasets for healthcare KPIs benchmarking and product features
• Drive business outcomes through data solutions (e.g. reducing cost increasing accessibility)

Skills and Qualifications

• Data Ingestion / ELTs and Orchestration: Ability to fetch and prepare data using Python and SQL. Familiarity with data orchestration tools like Prefect Airflow etc. Familiarity with data ingestion from files S3 Iceberg tables APIs databases and external sources.
• Cloud Platform Expertise: Hands‑on experience with Amazon Web Services (AWS) including services like Snowflake S3 EC2 and ECS. Knowledge of best practices for data storage security and scalability on AWS. PowerBI and DBT is a plus.
• CI / CD and Automation (Github Actions): Implementation of CI / CD pipelines for seamless software development and deployment. Automation of data workflows reducing manual effort and ensuring efficiency.
• Infrastructure as Code (IaC) nice to have: Proficiency in using Terraform to define and provision cloud infrastructure (AWS resources). Ability to create and manage infrastructure declaratively ensuring version control and reproducibility.

Your Profile

• Bachelors or Masters in Computer Science Data Science Engineering or related field.
• 3 years in data engineering building production pipelines and platforms; including a sustained period within one organization seeing a product through build launch iteration
• Healthcare domain experience is a plus (basic understanding of healthcare KPIs quality metrics or benchmarking concepts)
• Strong analytical mindset and ability to transform complex data into actionable insights

Fluent in English German a plus

What we offer

• Work from abroad up to 30 calendar days a year
• Hybrid work and flex‑time
• International team and social events
• Subsidized urban mobility and access to fitness and wellness options
• Free access to Perplexity Enterprise and all its amazing functionalities
• Career & training opportunities
• Attractive locations and modern offices

Mental health support with OpenUp

Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.