• Build and maintain scalable, secure ETL/ELT pipelines, ingestion systems, and transformation workflows across distributed cloud data warehouses. • Optimise for query performance, cost, and scalability as data volumes grow. • Establish standard data schemas, dimensional modeling structures, and automated validation tests to enforce data accuracy, consistency, and downstream reliability. • Manage and optimize backend data layers feeding business intelligence systems, reporting engines, and analytical discovery platforms. • Conduct query performance tuning, data partitioning analysis, and infrastructure scaling to control computational overhead and latency within cloud data lakes. • Partner with business units, IT leadership, and software engineers to translate business requirements into sustainable data engineering architectures.

Role Description Ciklum is looking for a Senior Python Engineer to join our team full-time in Ukraine. As a Senior Python Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. Responsibilities: - Leading new features and problem-solving from requirements to delivery across the product areas and technologies. - Writing reliable, efficient, secure, and scalable Python code. - Collaborating with different engineering teams, product teams, customer success, and professional services. - Researching and providing solutions to complex problems. - Communicating effectively with our internal Hunt Platform team as a customer — a highly technical team within the company. Qualifications - 5+ years of experience in object-oriented software development and building REST APIs. - 2+ years of experience in E2E design and implementation of features as part of large-scale backend projects. - Experience in Backend Development using Python. - Experience working with Linux-based systems. - Familiarity with some of the following technologies: MongoDB, Redis, Elasticsearch, RabbitMQ, and other big-data platforms. - Excellent communication skills and a collaborative attitude. Requirements - 5+ years of experience in object-oriented software development and building REST APIs. - 2+ years of experience in E2E design and implementation of features as part of large-scale backend projects. - Experience in Backend Development using Python. - Experience working with Linux-based systems. - Familiarity with some of the following technologies: MongoDB, Redis, Elasticsearch, RabbitMQ, and other big-data platforms. - Excellent communication skills and a collaborative attitude. Benefits - Strong community: Work alongside top professionals in a friendly, open-door environment. - Growth focus: Take on large-scale projects with a global impact and expand your expertise. - Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications. - Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies. - Flexibility: Enjoy radical flexibility – work remotely or from an office, your choice. - Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations. Company Description At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. - One of Ukraine’s largest IT companies. - A top employer recognized by Forbes. - Over 20 years delivering meaningful tech solutions. - Support diverse talent and military veterans, recognizing their unique skills and perspectives.

• Joining a team of passionate developers to work on projects for local and international companies • Involving in different phases of the end-to-end delivery • Direct contact with the client and business analysis of the problem • Coming up with an appropriate solution and implementation • Moving the solution to the production environment • Directly cooperating with machine learning team members • Designing scalable transformation pipelines using DBT and cloud data warehouse technologies • Building a scalable data platform for processing operational data from pharmaceutical laboratories and global supply chains • Creating reliable, maintainable, and well-documented data models • Collaborating with international data engineering and analytics teams

• Write, review, optimize, and troubleshoot complex SQL queries that support business reporting, analytics, and data transformation • Design and develop data serving and semantic layers to support business needs ranging from traditional reporting to reverse ETL and LLM/AI implementations • Build and maintain robust, scalable data pipelines to extract, transform, and load (ETL, ELT) data from various sources into the data platform using both batch processing and event-driven patterns • Implement and automate data quality checks and monitoring to ensure data accuracy and drive observability • Collaborate with data analysts, data scientists, and business stakeholders to understand their data needs and deliver solutions