Mid-Level Data Engineer at OnHires

Kyiv, Region of Bratislava, Ukraine -

Full Time

Start Date

Immediate

Expiry Date

14 Feb, 26

Salary

0.0

Posted On

16 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, ETL, Data Pipelines, Data Quality, SQL, Metabase, Cloud Services, Data Modeling, Analytics, Collaboration, Testing, Validation, Monitoring, Documentation, Communication

Industry

Staffing and Recruiting

Description

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 won’t 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 3–5+ 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

Responsibilities

You will develop and maintain ETL pipelines using Python and Prefect, ensuring data accuracy and reliability. Collaborating with senior engineers, you will help turn raw data into clean datasets and dashboards.