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 of 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 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) or - Category theory–based systems or - Map-reduce frameworks • Real-world experience with Apache Spark (most important) or similar libraries, 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.