This is a fully remote position, open to applicants in Europe.

📋 Description

• Develop essential infrastructure software, encompassing pipelines, APIs, and data modeling, for a client data platform team.

• Enhance system performance through effective instrumentation.

• Provide data solutions to both internal and external stakeholders utilizing secure authentication methods.

• Select and implement technologies to scale data access patterns, manage batch processing, and facilitate data streaming for soft real-time consumption.

• Leverage understanding of the client's business domain.

• Mentor and coach fellow engineers to foster their technical development.

• Partner with engineering leadership and architects to deliver high-quality solutions.

⛳️ Requirements

• Demonstrated experience in writing highly maintainable and performant Python code.

• Proficiency in developing modern data pipelines with tools such as dbt, Kafka, Spark, AWS Kinesis, AWS Lambda, and Apache Airflow or similar technologies.

• Solid understanding of data modeling patterns.

• Extensive knowledge of complex SQL, including Common Table Expressions and window functions, with a focus on performance optimization.

• Experience with comprehensive monitoring and alerting solutions using CloudWatch, Datadog, or similar platforms.

• Strong problem-solving abilities that balance innovation with practical technology choices.

• Adaptability to operate in a dynamic production environment while managing client expectations.

• Clear customer focus and a commitment to quality.

• Experience collaborating with engineering leadership and architects.

• Proven track record of maintaining a high level of ownership and transparency in deliverables.

• Outstanding communication skills, capable of conveying complex ideas in a straightforward manner.