> Markdown version of [/jobs/ext/3564785-pega-data-engineer](https://www.wearedevelopers.com/jobs/ext/3564785-pega-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Pega Data Engineer - **Company:** Sk It Solutions Ltd - **Location:** London, UK (Remote available) - **Experience:** Expert - **Salary:** £35,000.0 - £55,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Databases, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Migration, Data Mining, Data Systems, SQL Databases, Data Streaming, Systems Integration, Web Services, Pega, Data Processing, Enterprise Integration, Data Pipelines - **Published:** October 3, 2026 - **Apply:** https://www.jobs.service.gov.uk/auth/sign-in?returnTo=%2Fjobs%2F6abf8f39e7d4cf609bd38e19%2Fbefore-you-apply ## About the Role We are seeking a strong data engineering professional with 6+ years of experience and hands-on expertise in Pega Platform, Pega Data, integrations, APIs, SQL, data modelling and ETL. ## Description SKIT is currently looking for an experienced Pega Data Engineer for an exciting UK-based contract opportunity., As a Pega Data Engineer, you will be responsible for designing, developing and maintaining robust data solutions within the Pega ecosystem. You will work across data modelling, integrations, ETL, APIs, data migration and data quality while ensuring solutions are scalable, reliable and aligned with technical and business requirements. Key Responsibilities Design, develop and maintain Pega data solutions. Work with Pega data models, integrations and data pipelines. Develop and optimise data extraction, transformation and loading processes. Integrate Pega applications with databases, APIs and external systems. Design and maintain reliable data flows and integration solutions. Troubleshoot data-processing and integration issues. Support data migration, validation and data quality activities. Develop and maintain REST/SOAP API integrations. Work closely with technical and business teams to understand data requirements. Maintain appropriate technical documentation and data standards.