Mid-Level Data Engineer
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Job Location:
Monthly Salary:
Posted on:
3 days ago
Vacancies:
1 Vacancy
Job Summary
Highlights
- Remote-first role open to candidates from Brazil / South America Turkey and Northern Africa
- Work on a data-driven SaaS platform focused on large-scale web data collection and automation
- Location: Remote preferred: Europe time zone (Eastern Europe Turkey Tunisia). Brazil as alternative.
About Our Client (for Engineers)
Our client is a remote-first SaaS product company based in Berlin building data-intensive solutions that power advanced analytics and operational decision-making.
They work with complex high-volume data flows and rely on a modern well-structured engineering stack to keep things reliable transparent and scalable.
What makes this environment attractive for engineers:
You work end-to-end with real data products not abstract pipelines.
You collaborate with a small experienced team that values clean code simplicity and engineering discipline.
You use modern tooling Python Prefect SQL Metabase cloud services without legacy overload or bureaucratic overhead.
You get clear requirements manageable scope and the ability to make meaningful improvements.
You grow by solving practical non-trivial data challenges that directly impact the product.
Role Overview
This is a mid-level role designed for engineers who already have solid Python ETL experience and want to deepen their expertise with workflow orchestration data quality and modern BI tooling.
You will build reliable pipelines improve data accuracy and support the team in turning raw data into clean usable datasets and dashboards.
You wont be expected to lead projects or mentor others but you must be able to independently handle well-defined engineering tasks.
Responsibilities
You will work alongside senior engineers and product stakeholders to maintain and evolve the data platform. Your work will include:
ETL & Data Pipelines
Develop and maintain ETL pipelines using Python and Prefect
Write clean tested code for transformations ingestion jobs and integrations
Optimize pipeline performance and reliability
Data Quality
Implement validation rules sanity checks and lightweight monitoring
Investigate and resolve data issues in collaboration with the team
Contribute to improving data consistency and transparency
Data Modeling & Analytics
Help develop new data models and contribute to schema design
Build and maintain dashboards in Metabase to support internal stakeholders
Support analytical reporting by preparing clean datasets
Collaboration
Translate business requirements into clear engineering tasks
Document your work and follow internal best practices
Communicate effectively with engineering product and business teams
Your Profile
Must Have
35 years in Data Engineering or Python Engineering
Strong proficiency in Python (pandas SQLAlchemy typing testing)
Hands-on experience with ETL orchestration (Prefect preferred; Airflow acceptable)
Solid SQL skills and familiarity with relational databases
Experience with data quality checks validation or monitoring
Experience with Metabase or similar BI tools
Understanding of cloud-based data workflows (AWS GCP or Azure)
Ability to work independently on assigned tasks
English proficiency and clear communication
Nice to Have
dbt or similar transformation tools
Experience with NoSQL databases
Basic analytics or statistics knowledge
Exposure to APIs or light backend work
Experience in distributed remote teams
What Our Client Offers
Work in a small senior engineering-driven environment
Fully remote culture with flexible hours
Modern stack (Python Prefect SQL Metabase AWS/GCP/Azure)
Real opportunity to deepen ETL & data quality expertise
Competitive compensation depending on location
Personal development support
Optional office access on the tech campus near Berlin
Regular virtual and onsite team meetups
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
