Role Description First Help Financial, recently voted as a "Great Place to Work" for the fifth year in a row, is seeking a Senior Data Engineer to join our highly skilled and innovative team. First Help Financial is embarking on a new growth phase involving multiple game-changing projects. What you will do: - Lead data engineering delivery to build reliable, scalable pipeline leveraging Snowflake, Sigma and other applications to support complex data analytics and self-service reporting. - Drive integration with popular tools and services in the broader data warehousing ecosystem. - Optimize architectural performance across the Data stack by refining execution parameters and enforcing best practice strategies to maximize resource efficiency and throughput. - Establish and evolve a data governance operating model across data quality, lineage, metadata management, stewardship, cataloging, and lifecycle management. - Perform advanced code-level analysis and resource profiling to identify and mitigate systemic root causes, ensuring the stability and reliability of high-scale production workloads. - Coordinate with internal stakeholders to ensure effective communication, issue resolution, and on-time delivery of projects. - Participate in weekend and weekday on call rotation. Qualifications - 8+ years of experience in designing, building, testing, and maintaining data pipelines and data platforms. - 5 years of hands-on experience as a technical lead on a Data Engineering team, serving as the go-to person to resolve critical issues. - Expertise in SQL databases or data warehouses (such as Oracle, SQL Server, MySQL, Postgres and AWS RDS) and ETL technologies (such as Rivery, Informatica, DataStage, Talend, Fivetran). - Strong knowledge of data architecture, distributed processing, data modeling, and platform reliability engineering. - Hands-on experience with modern data warehouse and cloud data platform architectures including AWS and Snowflake. - Experience establishing and operating enterprise data governance capabilities, including data quality, lineage, metadata, and stewardship practices. - Demonstrable mastery of AI tools to enhance productivity and efficiency in daily tasks is a plus. - Working experience in financial services, especially auto finance and lending is preferred. - Proven ability to influence cross-functionally, such as with internal stakeholders or engineering teams. - Expert level knowledge in Python is desired. - Self-motivated and proactive, with a strong ability to identify issues and challenge the status quo. - Degree in Computer Science or related field/experience. Benefits - Great Perks – We offer generous salaries, social activities, monthly lunches, and a robust employee recognition and talent development program to enhance your career with us. - Culture - We are believers in maintaining a healthy work-life balance. While we work hard and care deeply about our customers and partners, we want you to have room for your family, friends, and yourself. - Growth - Company growth provides unprecedented career growth. FHF’s extraordinary year over year growth in revenue and new markets provides opportunity for you to establish and develop your career growth. We engage each employee to build a career plan that benefits everyone, and we have a proven record of investing in you. - Diversity and Inclusion - FHF is committed to building a culture that respects and embraces all walks of life, inclusive of all genders, race, culture, age, sexual orientation, and other identities. We will make accommodations when interviewing anyone with special needs.

Role Description We are looking for individuals to record natural conversations using provided scripts. You will work with a partner and play a specific role (such as Customer or Support Agent). The goal is to create clear, natural-sounding audio recordings by following simple instructions. This project involves recording natural conversations based on customer support scenarios. Depending on the assignment, recordings may be completed individually or with a partner, with roles such as Customer or Support Agent. - Verifying account details - Solving basic technical issues - Explaining simple policies This project involves recording approximately 1 hour of natural audio conversations based on provided prompts and instructions. Participants may be asked to record in one or two languages, depending on the assignment. All recordings must be completed in a quiet, noise-free environment to ensure audio quality. Qualifications - Strong communication skills in required language(s) - Ability to follow instructions - Attention to detail - Willingness to work with a partner - Ability to meet deadlines Requirements - Speak naturally (like a real conversation, not robotic) - Follow all instructions carefully - Ensure clear audio with no background noise - Be available to re-record if needed - Computer or laptop with internet access - Working microphone - Basic knowledge of: - Google Sheets - Google Drive - Zencastr - Ability to download, rename, and upload files Benefits - You will be paid for up to 1 hour per assignment, based on approved work. - Payment depends on audio quality and following instructions. - Work that does not meet quality standards may be rejected or require re-recording. - Payment is processed after successful quality review. - $75 USD per hour. Agreement & Acknowledgement Selected participants will be required to sign an agreement and acknowledgement form confirming: - Understanding of the task and instructions - Acceptance of quality and payment terms - Consent to use of recorded data for the project Must be residing in Italy, Switzerland, or Austria.

Role Description We are looking for individuals to record natural conversations using provided scripts. You will work with a partner and play a specific role (such as Customer or Support Agent). The goal is to create clear, natural-sounding audio recordings by following simple instructions. This project involves recording natural conversations based on customer support scenarios. Depending on the assignment, recordings may be completed individually or with a partner, with roles such as Customer or Support Agent. - Verifying account details - Solving basic technical issues - Explaining simple policies This project involves recording approximately 1 hour of natural audio conversations based on provided prompts and instructions. Participants may be asked to record in one or two languages, depending on the assignment. All recordings must be completed in a quiet, noise-free environment to ensure audio quality. Qualifications - Strong communication skills in required language(s) - Ability to follow instructions - Attention to detail - Willingness to work with a partner - Ability to meet deadlines Requirements - Speak naturally (like a real conversation, not robotic) - Follow all instructions carefully - Ensure clear audio with no background noise - Be available to re-record if needed Technical Requirements - Computer or laptop with internet access - Working microphone - Basic knowledge of: - Google Sheets - Google Drive - Zencastr - Ability to download, rename, and upload files Payment - You will be paid for up to 1 hour per assignment, based on approved work. - Payment depends on audio quality and following instructions. - Work that does not meet quality standards may be rejected or require re-recording. - Payment is processed after successful quality review. - $45 USD per hour. Agreement & Acknowledgement - Selected participants will be required to sign an agreement and acknowledgement form confirming: - Understanding of the task and instructions - Acceptance of quality and payment terms - Consent to use of recorded data for the project - Must be residing in Spain or France.

• Operate and evolve the Data Lake: work with data in its Raw, Processed and Refined zones, including deduplication processes, cataloging and storage optimization (Parquet, Iceberg). • Operate and monitor streaming pipelines via Kafka: create topics, connectors, ACLs, credentials and monitor consumer lag for real-time streaming pipelines. • Contribute to the evolution of the Data Platform API: create and maintain modules of our platform that abstract ingestion processes for users and developers (which may be via files, CDC or data streaming), data processing on Big Data platforms (Spark / Redshift) and pipeline orchestration (Airflow). • Investigate and resolve incidents: interpret failures in pipelines, dataset loads, data duplication and cluster errors, and assist in incident resolution. • Use and contribute to Infrastructure as Code (IaC): use Terraform and operate AWS resources under team guidance. • Participate in modernization and integration initiatives with AI tools: use LLMs to build agents and create tools that integrate AI into our systems (MCP Servers). • Documentation and monitoring maintenance: contribute to technical documentation of our tools and architecture. Maintain our observability tools.