Role Description Ciklum is looking for a Senior Data Engineer to join our team full-time in Poland. As a Senior Data Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. The client is a healthcare platform focused on mental health services, enabling clients to schedule appointments with psychologists and psychotherapists while integrating with various US insurance providers and mental health networks. The platform offers subscription packages for mental health and ensures accessibility through multiple insurance options. - Design, build, and maintain scalable systems for ingestion, transformation, and storage of data, with a focus on testing and observability. - Implement frameworks, tooling, and automation to safely increase development velocity. - Develop data pipelines, optimize pipelines, SQL or other data workflows from: - Source ingestion and preparation. - Training and tuning. - Downstream systems integration (EHR modules, micro-services, dashboards). Qualifications - Proficiency in SQL and Python with strong familiarity towards modern data engineering frameworks, infrastructure, and tooling. - Knowledge of dbt, Pyspark, Glue, Terraform to support current infrastructure on AWS. - Experience setting up GCP infra: Iceberg, Dataplex, Terraform to help with initial steps of GCP migration project (great to have). - A collaborative mindset, dependable execution, drive to reflect and improve, and humility to ask questions and learn. - Bachelor’s degree (or equivalent) in Computer Science, Data Science, Statistics, Engineering or a related field. - 5+ years of experience in data engineering, platform engineering, or ML engineering. - Experience working with major cloud data platforms and tools. Requirements - Healthcare, behavioral health, EHR systems, and/or regulated industries (desirable). - Specific expertise with: AWS/GCP, dbt, Airflow, Airbyte, Redshift/BigQuery. 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 flexibility – full remote working possibilities. - Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations.

Role Description The Data Entry and Validation (DE&V) Specialist reports to the HPR DE&V Team Manager and supports project intake and uploads into VRM. This role serves as a key liaison between operations staff and the HPR Account Specialists, working with both internal and external clients to facilitate health plan requests. - Triages inventory received by the Health Plan Request Team against Verisma’s facility site list by determining the appropriate Verisma client or identifying if it is not associated with Verisma. - Communicates regularly with the HPR Account Specialists regarding the files they are handling. - Adhere to established guidelines from facilities and requestors concerning fees, exceptions, and standard intake procedures. - Remains current on facility and requestor requirements, including specialized instruction, rates, and approval protocols. - Data enter faxed requests from facilities. - Upload high-volume health plan requests into VRM batches efficiently. - Processes single patient health plan requests using the ROIS App. - Produce clear, professional patient lists from Excel inventory files. - Update inventory files and team trackers consistently. - Responds promptly to emails to prevent any delays in processing. - Conduct daily reviews of uploaded batches to confirm successful completion. - Addresses errors or omissions immediately upon identification or notification. - Develop expertise in navigating both the VRM and ROIS App platforms. - Adapt quickly to last-minute changes in work assignments directed by the DE&V Team Manager, particularly for escalating inventory. - Manage communications with professionalism in alignment with established standards and metrics. - Maintains positive and effective relationships with clients and requestors. - Perform other appropriate duties, as assigned, to meet the needs of the department and the company. - Live by and promote Verisma core values. Qualifications - High school diploma or GED equivalent required. - Able to multi-task and use numerous resources to ensure facility protocols are followed. - Strong project management skills. - Ability to work effectively and independently in high volume and fast paced environments. - Desire to improve processes to create sustainable robust systems. - Microsoft Excel proficient. - Exceptional interpersonal skills and capacity to build effective relationships with co-workers and clients. - Strong level of patience to resolve issues. Company Description

• Extend, optimize, and maintain core data models that support customer facing reports, machine learning, and generative AI workloads • Partner with engineering, product, and analytics teams to deliver seamless integrations and customer-facing data products • Implement data quality, observability, and governance frameworks to ensure reliable, well-managed data at scale • Document data flows, integration contracts, and operational runbooks to support efficient scaling and handoff

• Design and lead the implementation of scalable and efficient data architectures aligned with business goals • Translate business requirements into technical data solutions, defining clear specifications and data models • Collaborate closely with stakeholders to gather requirements and ensure alignment across teams • Act as the technical leader within a cross-functional team, guiding a Data Engineer, Power BI specialist, and Product stakeholders • Oversee the development and optimization of data pipelines and workflows using Azure-based tools • Ensure best practices in data governance, data quality, and performance optimization • Enable and support data visualization initiatives, particularly through Power BI • Contribute to the evolution of the platform toward advanced analytics and machine learning capabilities