Job Description

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Freelance

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Remote

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Data/IT

About Us

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Lecturio is a leading international medical and nursing e-learning platform, serving students as well as educational institutions. Lecturio’s mission is to address the severe shortage of healthcare providers around the world through increasing access to quality medical education. Using state-of-the-art technology and learning science, Lecturio has grown from its headquarters in Leipzig, Germany, where it was founded in 2008, to become a global leading digital teaching engine for health professions education.

Senior Backend / Data Engineer (all genders)

We are looking for a highly skilled Backend / Data Engineer to design, build, and maintain robust data applications and solutions. You'll play a pivotal role in developing and optimizing data pipelines and ensuring that our data infrastructure is scalable, reliable, and built for growth. You'll be responsible for working with a variety of tools, particularly within the AWS ecosystem, and will be crucial in supporting the data strategy of our organization.

Key Responsibilities

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Design, build, and maintain

scalable and efficient data solutions, ensuring smooth data flow and accessibility. Continuously

improve and optimize existing data pipelines

while designing and creating new ones to support evolving business needs. Architect and implement robust

ETL/ELT pipelines

using modern orchestration frameworks. These pipelines must intelligently ingest unstructured content (for e.g. PDF guidelines, textbooks, video transcripts) and perform contextual chunking, implement entity resolution logic, and feed high-quality, structured output into a graph. Design a

formal semantic schema

(ontology/conceptual model) and implement it within the chosen graph database, and manage data ingestion. Assist in the

administration

of our operational

MySQL

database and propose optimization strategies for enhanced performance.

Research and analyze new data sources

to drive the development of internal processes and introduce new features for our data architecture. Support the infrastructure and strategy for

scalable data APIs, caching mechanisms, and data distribution

. Identify, evaluate, and resolve

data quality issues

, and propose solutions to improve data reliability and consistency over the long term.

Your profile

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5+ years

of experience as a

Data Engineer or Backend Engineer heavily involved in Data products

or a similar role. Deep expertise in

data warehousing

and designing efficient and scalable

data pipelines

. Strong programming skills in

Python or TypeScript

for

ETL processes

and data manipulation. Experience with

AWS services

such as

DynamoDB, S3, Amazon Neptune, Glue, Lambda, Kinesis

, and others for data storage, processing, and streaming.

Proficiency in MySQL

for relational database administration, as well as

MongoDB, Redis

for diverse data needs. Practical experience with orchestrating complex workflows and

Terraform

for infrastructure as code.

Linux Bash/Shell scripting

experience for automation and efficient data processing. Ability to

work independently

and set up

end-to-end solutions

.

Fluent in English

with strong communication skills for cross-functional collaboration.

Self-driven and fast learner

, capable of staying up-to-date with the latest tools and technologies.

Nice-to-Haves:

Hands-on, production experience with a major

Graph Database

(Neo4j, Amazon Neptune, or ArangoDB). You can write complex

traversal and aggregation queries

(Cypher/Gremlin) fluently. Experience with

Google BigQuery

for additional cloud-based data warehousing solutions. Familiarity with

automation tools

like

n8n

to streamline workflows.

What we offer

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Flexible working hours and remote work are a given to enable you to achieve a good work-life balance. You are part of a highly engaged, motivated, and professional Development team where you can develop and implement innovative data solutions. Your ideas are heard: We value employees who drive change with creativity. Because only with a diverse team and fresh ideas can we make an impact! A comprehensive, structured HR and professional onboarding process with cross- departmental introductions and feedback sessions. Take advantage of our complete Lecturio training platform for free for your personal and professional development. Free access to coaching sessions and other mental health benefits.

Location

: Remote (Time zones: UTC / UTC +1 / UTC -1 / UTC +2 / UTC -2)

Employment Type

: Full-time

If this sounds interesting to you, please reach out at jobs@lecturio.de. Please include your resume and a cover letter outlining your relevant experience.