Valleysoft is a regional IT services provider delivering enterprise technology, integration, and data solutions to global clients. Working across complex enterprise environments, the team helps organizations connect critical systems, improve the flow of information, and turn data into reliable business insight. This is an opportunity to join a business focused on practical, high-impact delivery for global customers operating at scale.
As a Data Engineer at Valleysoft, you will play a key role in strengthening the data foundations that support enterprise reporting, analytics, and operational decision-making. You will contribute to the design, reliability, and continuous improvement of pipelines and integration workflows across a varied technology landscape, partnering with both technical and business stakeholders to keep data accurate, available, and fit for purpose. The role offers the chance to work across established enterprise platforms while helping shape enhancements that improve quality, resilience, and usability.
Responsibilities- Build and maintain data pipelines across SAP, Microsoft Azure, and the analytics landscape using Velocity, Theobald, and Intelligent Data Platform (IDP).
- Implement data preparation and transformation workflows with Alteryx.
- Provide L1.5-L3 support for data pipeline incidents by monitoring, troubleshooting, and resolving failures.
- Support data quality processes in partnership with Pulse.
- Document data flows and pipeline architecture.
- Deliver pipeline enhancements and new capabilities.
- Collaborate with business and technical teams to ensure reliable data availability and quality.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
- Experience in ETL/ELT pipeline development and troubleshooting production data pipelines; ideally, you bring 3+ years in data engineering, ETL, or data integration roles.
- Strong SQL development and scripting skills, along with experience working with Python.
- Hands-on experience with Velocity, Theobald, and Alteryx, or similar data integration tools.
- Experience with Azure data services and cloud-based data architectures.
- Knowledge of data quality, validation, and monitoring practices, along with a solid understanding of data warehousing and data integration concepts.
- Experience working in Agile/Scrum delivery environments.
- Business-fluent English communication skills.
- Exposure to SAP data ecosystems and enterprise analytics platforms is a plus.
Benefits
- Private Health Insurance
- Training & Development
Skills Required
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
- 3+ years of experience in data engineering, ETL, or data integration roles
- Experience developing and troubleshooting production ETL/ELT data pipelines
- Strong SQL development and scripting skills
- Experience working with Python
- Hands-on experience with Velocity, Theobald, Alteryx, or similar data integration tools
- Experience with Azure data services and cloud-based data architectures
- Knowledge of data quality, validation, and monitoring practices
- Understanding of data warehousing and data integration concepts
- Experience working in Agile/Scrum delivery environments
- Business-fluent English communication skills
- Exposure to SAP data ecosystems and enterprise analytics platforms
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What We Do
- Valleysoft is a regional IT services provider serving clients around the world. Since 2006, Valleysoft has been working with global partners, such as IBM, in different industries to solve complex business and technical problems ranging from enterprise-class application development and maintenance to worldwide process management. - As client-focused and process-oriented company, Valleysoft stands as a vendor neutral and capability rich professional organization. Our maturity in quality delivery and operational discipline shows through our work. Our operational maturity enables us to provide high-quality services with repeatable and predictable results at optimized efficiency in both level of efforts and economic model. As a result, we are able to deliver to our clients world-class services at best values.
