Data Architect / Senior Data Engineer

We’re hiring a Data Architect / Senior Data Engineer for a key role at the heart of our technological activity.

The role includes leading the design, development, and implementation of advanced data architectures in complex environments, working with diverse data sources, building end-to-end data pipelines, and supporting Near Real-Time / Real-Time systems.

What You’ll Do:

Design and lead complex data architectures in data-intensive environments

Develop and maintain data pipelines for structured and unstructured data

Build Data Lake / Lakehouse / Data Warehouse solutions

Work with real-time and near-real-time data streams

Design scalable, high-availability, and high-performance solutions

Collaborate with Data, AI, Analytics, Intelligence, Product, and R&D teams

Implement best practices in Data Engineering, Governance, and Architecture

What We’re Looking For:

6+ years of experience in Data Engineering / Data Architecture / Backend Data roles

Significant experience designing and building complex data systems

Strong proficiency in Python / Java / Scala

Strong experience with SQL, Data Modeling, and database schema design

Experience with relational databases such as PostgreSQL / Oracle / MySQL

Experience with NoSQL databases such as MongoDB / Cassandra / Elasticsearch

Experience working with Object Storage such as S3 / GCS / HDFS

Experience with Orchestration / ETL tools such as Airflow, Prefect, or Dagster

Experience with Kafka / Pulsar / Kinesis or similar streaming technologies

Strong understanding of distributed architectures, scalability, and performance

Big Advantage

Experience with Big Data frameworks such as Spark / Flink

Experience with Time Series, text, image, video, or sensor data

Familiarity with Search Engines / Indexing such as Elasticsearch or OpenSearch

Experience with Feature Stores or AI / ML infrastructure

Experience working in On-Prem / Air-gapped environments

Familiarity with Data Governance and information security processes

This role is ideal for someone who enjoys taking ownership, leading deep technical solutions, working with complex systems, and making a real impact on data infrastructure end to end.

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