Senior Data Engineer

We are looking for a strong, hands-on Data Engineer to join our team and play a key role in building our data infrastructure from the ground up. In this role, you will design and implement scalable data pipelines and platforms, supporting both batch and real-time use cases. You will work closely with analysts and stakeholders to deliver reliable, high-quality data solutions, and take full ownership of data flows – from ingestion to consumption. This is a great opportunity for an executor who enjoys building, moving fast, and making an impact.

What will your job look like?

• Design, build, and maintain robust and scalable data pipelines (batch and real-time) end-to-end.
• Design and implement scalable, flexible data architectures to support evolving business needs.
• Build and manage data platforms, including data lakes and data warehouses.
• Integrate multiple data sources (structured and unstructured) into a unified data platform using batch (ETL) and real-time streaming solutions.
• Design and implement efficient data models, schemas, and database structures (SQL / NoSQL).
• Develop and implement data quality processes to ensure accuracy, consistency, and reliability.
• Monitor, optimize, and troubleshoot data infrastructure to meet performance and SLA requirements.
  
  

All you need is:

• 5+ years of hands-on experience as a Data Engineer, building data systems from scratch in dynamic environments.
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• Strong proficiency in Python and advanced SQL, with solid experience in data modeling.
• Proven experience designing and building scalable data pipelines (batch and real-time), including streaming technologies such as Kafka.
• Strong experience working with AWS, including services such as S3, Athena and DynamoDB.
• Experience working with big data processing frameworks such as Spark, and columnar data formats (e.g., Parquet).
• Hands-on experience with workflow orchestration tools such as Airflow.
• Strong ownership and execution mindset, with excellent problem-solving skills and high attention to detail, and the ability to collaborate effectively and deliver in ambiguous, fast-paced environments.
• Fluent in English.

Nice to have:

• Experience with data platform technologies such as Databricks, Snowflake.
• Experience building data platforms using modern lakehouse technologies (e.g., Iceberg).

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