Engage with fascinating engineering datasets and help create data solutions that power the future of engineering. This is more than just a technical role - it's a chance to grow, innovate, and contribute to projects that make a difference.
Responsibilities:
1. Process client data arriving in multiple formats, including Excel, Access, and SQL databases, ensuring it's structured and ready for use. Manage the first phase of data cleansing to prepare project teams for seamless execution.
2. Use SQL Server tools (such as SSIS and SSRS) to import, organize, and validate large data sets, ensuring data accuracy and optimization for engineering applications.
3. Create streamlined, consistent processes for data import/export, enabling clients to access real-time insights across their systems.
4. Collaborate with project teams to resolve data-related issues, developing innovative solutions for data challenges and contributing to process improvements.
5. Maintain accuracy in data manipulation, follow quality standards, and document procedures to establish best practices.
Qualifications:
* Proficient in SQL and working with SQL Server (knowledge of SSIS, SSRS is a plus).
* Skilled in data handling tools like Excel and Access, adaptable to various data formats.
* Experience with engineering data or technical documents is a plus but not essential; training will be provided.
* Proactive, self-motivated, and committed to accuracy.
* Effective communication skills for collaboration with teams and clients.
At Sword, we are dedicated to fostering a diverse and inclusive workplace and are proud to be an equal opportunities employer. We encourage applicants with transferable skills and value diversity in all its forms. If we can assist with making the hiring process more accessible, please let us know.
About the role:
This is a unique opportunity to work hands-on with engineering data, streamlining project data for cutting-edge engineering projects. Collaborate on impactful projects, discover solutions to complex data challenges, and optimize data flow for high-profile clients.
Benefits:
* Personalized career development with tailored learning opportunities.
* Flexible working arrangements to support work-life balance.
* Comprehensive benefits including generous leave, family-friendly benefits, pension, private health, well-being schemes, and more.
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