(Senior) Data Engineer - Healthcare (m/f/d)

Statista

Deutschland

Hybrid

EUR 75,000 - 110,000

Full time

14 days+

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Benefits offered by this job

Work from abroad up to 30 days/year

Hybrid work and flex-time

International team and events

Mobility subsidies and wellness

Langdock access

Career & training opportunities

Modern offices

Mental health support

Job summary

Statista is hiring a Data Engineer for its Healthcare Platform. You will own data ingestion and platform reliability end-to-end, designing scalable batch/streaming pipelines, and ensuring data quality, security, and cost efficiency.

You’ll collaborate with Analytics Engineers, Data Scientists, and Analysts to create clean, governed datasets and a unified healthcare data ontology for international data.

Qualifications

Data Ingestion / ELTs and orchestration using Python and SQL.
Familiarity with data orchestration tools like Prefect, Airflow.
Ingestion from Files, S3, Iceberg tables, APIs, databases and external sources.

Responsibilities

Develop and optimize ELTs to integrate new data sources for the DWH.
Design and implement healthcare data ontology; entity resolution and MDM for hospitals/providers.
Collaborate across teams to deliver documented, reproducible healthcare KPI datasets.
Enable business outcomes by delivering scalable data solutions.
Increase data accessibility and usability.

Skills

Data Ingestion

ELTs

Orchestration

Python

SQL

Prefect

Airflow

Files ingestion

S3 ingestion

Iceberg tables

APIs ingestion

Databases ingestion

External sources ingestion

Entity resolution

Data contracts

Schema management

OpenMetadata

DataHub

Ontology frameworks

SNOMED CT

ICD

FHIR

AWS

Snowflake

EC2

ECS

PowerBI

dbt

CI/CD

Github Actions

Terraform

Education

Bachelors or Masters in CS/DS/Engineering

Tools

Prefect

Airflow

OpenMetadata

DataHub

dbt

Terraform

Job description

At Statista , we’re all about facts and data, for we are the world’s 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 into a common semantic model, 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, you’ll 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. You’ll 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. A core challenge of this role is helping us build and operationalize a unified healthcare data ontology — a consistent semantic model of hospitals, departments, specialties, metrics, and sources — that turns heterogeneous international data into one coherent, queryable asset.

Key Responsibilities

Develop and optimize ELTs to integrate new data sources and enhance data management in the data warehouse (DWH) and other systems
Contribute to the design and implementation of our healthcare data ontology: entity resolution and master data management for hospitals and providers, mapping source data to canonical entities and metrics, and maintaining standardized vocabularies and crosswalks (e.g., specialty taxonomies, ICD/OPS, country-specific hospital registries)
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, prepare, and harmonize data from heterogeneous international sources using Python and SQL. Familiarity with a data orchestration tools like Prefect, Airflow, etc. Familiarity with data ingestion from Files, S3, Iceberg tables, APIs, databases and external sources.
Data Modeling & Semantics: Experience with entity resolution / record linkage (e.g., Splink, dedupe, recordlinkage), data contracts and schema management (e.g., Pydantic, JSON Schema, dbt contracts), and metadata/lineage tooling (e.g., OpenMetadata, DataHub). Exposure to knowledge graphs or ontology frameworks (RDF/OWL, SKOS, Neo4j, LinkML) or healthcare terminologies (SNOMED CT, ICD, FHIR) is a strong plus.
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

Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field.
5+ 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**; familiarity with hospital structures and medical classification systems is especially valuable**)
Strong analytical mindset and ability to transform complex data into actionable insights
Fluent in English, German a plus
Highly structured, curious, and motivated to work in an international and cross‑functional environment

What we offer

In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from: