Data Engineer (Medior) (Madrid)

Data Engineer (Medior) (Madrid)

04 ago
|
Refinery89
|
Madrid

04 ago

Refinery89

Madrid

Data Engineer (Medior) Location: Remote Employment
Type: Full-time About Refinery89 Refinery89 is a European AdTech
company that helps publishers optimize their programmatic
performance through advanced, data-driven technology. We build
scalable systems that process large volumes of advertising data to
improve transparency, efficiency, and monetization outcomes for
digital publishers. Our team operates internationally with a strong
focus on engineering quality and operational impact. Overview
Refinery89 has been steadily growing in the last years and recently
the need for an effective data management has become increasingly
clear. To support the development of the company’s data ecosystem,
we are looking to welcome a medior Data Engineer who will play a
key role in shaping and subsequently maintaining our data systems.
Importantly, a significant portion of our data environment is yet
to be designed, making this an excellent opportunity for
professional growth. Key Responsibilities Design, build, and
maintain data pipelines supporting Refinery89’s core data platform.
Contribute to the design and evolution of the company’s data
architecture and tooling. Implement reliable ingestion,
transformation, and storage processes for structured and
semi-structured data. Ensure data reliability, consistency, and




basic data quality controls across systems. Collaborate with
engineers and internal stakeholders to support analytics and
operational use cases. Maintain clear, consistent technical
documentation for data systems and workflows. Skills Hard
requirements Linux management, bash scripting (medium level) Some
exposure to cloud platforms (we use AWS, but experience with any
other cloud is acceptable) Python (medium level) SQL (medium level)
Writing clear and consistent documentation Professional working
proficiency in English Desirable Common Python libraries,
particularly boto3. Some others such as psycopg2, pymysql, requests
ETL/ELT processes Task orchestration (cron jobs, AWS EventBridge,
AWS Step Functions) Some experience with data quality Bonus Some
knowledge of a high-performance language (Rust, C, C++) Experience
with data governance Testing (pytest, unittest) NoSQL such as
Elasticsearch or Pinecone Airflow management Streaming (Kafka,
Kinesis, etc.) Role Context This is a hands-on, execution-focused
role within the Technology team. The Data Engineer will contribute
directly to building and stabilizing Refinery89’s data foundations,
with meaningful ownership over systems that are still in an early
stage of design and evolution.

📌 Data Engineer (Medior) (Madrid)
🏢 Refinery89
📍 Madrid

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