• Own delivery of production-grade data systems. • Drive system design for data architecture. • Ensure high standards for code quality and reliability. • Translate business needs into technical solutions. • Collaborate across engineering, product, and data teams. • Mentor and unblock other engineers. • Identify and mitigate risks early. • Improve systems, tools, and processes.

Role Description We are looking for a hands-on Software / Data Engineer to own and maintain a modern cloud-based data platform focused on EV repair cost intelligence and analytics. You will work across backend engineering, AWS infrastructure, data pipelines, and analytics systems, helping maintain and evolve a platform used by insurers and automotive organisations to better understand EV repair risk and pricing. This is a highly practical engineering role suited to someone who enjoys taking ownership of systems end-to-end, solving real operational problems, and improving reliability, scalability, and maintainability across a growing platform. The environment is lean, collaborative, and fast-moving, with significant autonomy and responsibility from day one. Responsibilities - Own and maintain cloud-based data pipelines and backend systems across the AWS stack. - Run and support monthly ingestion and processing workflows using AWS services such as S3, Lambda, Glue, Athena, and Step Functions. - Maintain and improve the Python codebase, dependencies, and backend services. - Support and enhance the client-facing analytics dashboard and API delivery layer. - Perform data quality validation, troubleshooting, and issue resolution across the platform. - Improve API performance, scalability, and reliability. - Help redesign and modernise data structures and vehicle make/model mapping systems. - Support the productionisation of a cloud-based repair database. - Reduce technical debt and improve engineering standards across the stack. - Integrate and manage third-party data providers and ingestion workflows. - Work independently to identify platform improvements and deliver pragmatic solutions. - Use AI tools and automation to improve engineering productivity and operational efficiency. Qualifications - 2–5+ years of experience in software engineering, data engineering, or backend engineering roles. - Strong Python development experience in production environments. - Experience working with AWS cloud services, particularly S3, Lambda, Glue, Athena, and Step Functions. - Strong SQL skills and experience working with large datasets and data transformations. - Experience building and maintaining data pipelines and ETL workflows. - Experience working with backend APIs and cloud-based systems. - Comfortable working across backend engineering, infrastructure, and data processing. - Strong problem-solving skills with a pragmatic engineering mindset. - Ability to take ownership of systems end-to-end, including maintenance, troubleshooting, and improvement initiatives. - Comfortable operating in a fast-moving environment with evolving priorities. - Experience using AI-assisted development tools such as ChatGPT, Claude, Cursor, or Copilot to improve productivity and automate workflows. - Strong communication and collaboration skills. Nice to Have - Experience supporting analytics dashboards or client-facing reporting platforms. - Experience optimising AWS Lambda and API Gateway performance. - Familiarity with serverless architecture patterns. - Experience working with SFTP-based ingestion pipelines. - Exposure to modern frontend technologies and dashboard tooling. - Experience in modernising or consolidating legacy systems. - Familiarity with automotive, insurance, telematics, or analytics-related data platforms. - Experience improving observability, monitoring, and operational reliability across cloud systems. Benefits - Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter) - No Weekend Work: Real work-life balance, not just words - Day 1 Benefits: Laptop and full medical insurance provided - Support That Matters: Mentorship, community, and forums where ideas are shared - True Belonging: A long-term career where your contributions are valued - 5-Day AI Training: Hands-on AI Academy onboarding to get you building with AI from day one

• Verantwortung für die Weiterentwicklung und Optimierung von Data Migration Services • Unterstützung bei der Anbindung neuer Kunden an moderne Steuerlösungen • Gestaltung, Optimierung und Skalierung von Migrationsstrecken sowie Analyse komplexer Datenstrukturen • Entwicklung intelligenter Mapping-Logiken und automatisierter Cleansing-Strategien • Entwicklung automatisierter Tests zur Sicherstellung der Datenintegrität und Datenqualität über den gesamten Migrationsprozess hinweg • Aufbereitung von Migrations- und Testdaten, Überwachung der Verarbeitungsprozesse und Fehleranalyse • Aktive Mitwirkung in der kontinuierlichen Weiterentwicklung von Entwicklungsprozessen, Tools und Best Practices

CAPCO POLAND Capco Poland is a global technology and management consultancy specializing in driving digital transformation across the financial services industry. We are passionate about helping our clients succeed in an ever-changing industry. We are also: - Experts in banking and payments, capital markets and wealth and asset management - Committed to growing our business and hiring the best talent to help us get there - Focused on maintaining our nimble, agile and entrepreneurial culture About the role: We are looking for a Senior Data Solution Engineer to join our data engineering team and help turn complex data into actionable, business-ready insights. In this role, you will design and deliver scalable data solutions, including domain data marts, semantic models, and Power BI dashboards. You will act as the bridge between business stakeholders and engineering teams, ensuring that data platforms are robust, performant, and aligned with business needs. You will also contribute to building and evolving a modern data platform, including migrating existing analytics solutions to the cloud and continuously improving the ecosystem. Key Responsibilities: - Architect and deliver business data marts in Snowflake, leading the development of production-grade dbt models - Establish and maintain standards for data modeling, documentation, and testing - Collaborate with the Data Architect to evolve and enhance the Data Vault 2.0 architecture - Lead the design and implementation of the semantic layer in Power BI, including development of reports and dashboards - Optimize performance and cost efficiency across data models, queries, and BI solutions - Collaborate with cross-functional teams (data engineers, business analysts, delivery leads, and stakeholders) to design and deliver data solutions - Embed SLAs, operational processes, and monitoring capabilities into solutions - Participate in incident management, root cause analysis, and continuous improvement activities - Mentor and coach team members, fostering knowledge sharing and best practices - Drive and enhance CI/CD pipelines (Azure DevOps), including automated testing, deployments, and rollback strategies - Implement and enforce data security and governance frameworks, including Snowflake roles/policies and Power BI Row-Level Security (RLS) Required Skills & Experience: - Proven experience in data solution engineering or analytics engineering within enterprise environments - Strong hands-on expertise in: - Solid experience implementing Data Vault 2.0, data marts, and semantic models - Experience in financial services or similar regulated industries - Good understanding of CI/CD practices, ideally using Azure DevOps - Familiarity with Azure Data Factory and/or Python is a plus - Experience with cloud migration, particularly from on-premise data warehouses - Comfortable working in Agile/Scrum environments - Fluent in English; German is an advantage ONLINE RECRUITMENT PROCESS STEPS - Screening call with the Recruiter - Competencies interview with Capco Hiring Manager - Client’s interview - Feedback / Offer We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects.