Data Analyst / Data Analystess

Overview

We are seeking a highly skilled Data Analyst with a strong background in functional programming and distributed data processing. This role combines approximately 50% administrative and coordination-related tasks with 50% hands-on technical work, supporting the smooth operation, documentation, and execution of data-driven initiatives in a collaborative team environment.

Key Responsibilities

Administrative & Coordination Responsibilities (50%):

• Lead the team.
• Support the organization and coordination of data-related activities across teams.
• Maintain and update documentation for data pipelines, workflows, and system architectures.
• Plan, track, and report on data engineering tasks and deliverables.
• Ensure alignment with internal standards, processes, and data governance guidelines.
• Facilitate information flow between technical and non-technical stakeholders.
• Contribute to continuous improvement of operational processes and tooling.

Technical Responsibilities (50%):

• Develop and maintain high-performance, reliable, and distributed applications using functional programming principles.
• Work with Spark in DataBricks, ensuring resilience and elasticity in large-scale deployments.
• Build and optimize data-intensive workflows using Apache Spark or comparable frameworks.
• Apply solid knowledge of runtime environments, execution contexts, and pure functional design to deliver predictable, testable software.
• Collaborate with teams to design architectural solutions based on a sound understanding of distributed and parallel data transformation.
• Write efficient, maintainable code in Python.

Must-Have Qualifications:

• Strong hands-on experience in functional programming using one or more paradigms:
  • ETL pipelines,
  • Actor model systems (Akka, Apache Pekko),
  • Category theory–based systems, or
  • Map-reduce frameworks.
• Real-world experience with Apache Spark (most important) or similar libraries and technologies (Apache Flink, Cats / Cats Effect, Hadoop, Kafka Streams).
• Solid understanding of runtime systems, execution contexts, and pure functions.
• Deep understanding of compiled, JIT, and interpreted execution models.
• Proficiency in Python and in one of Scala/Java, C/C++, or Rust.
• Experience working within project environments, including planning, coordination, or tracking of technical tasks.
• Experience collaborating in multi-person teams, including task alignment, information sharing, and coordination across roles.

Apply online using the form below. Only applications matching the job profile will be considered.