At a Glance
- Tasks: Create and manage data connections, validate files, and enhance auto-reconciliation processes.
- Company: Dynamic tech firm focused on innovative data solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and development.
- Why this job: Join a team that leverages advanced technology to drive impactful data improvements.
- Qualifications: Strong SQL skills, experience with scripting languages, and a relevant degree.
The predicted salary is between 30000 - 40000 £ per year.
The Data Flow Engineer's primary role is to create and manage data connections, perform validations, and execute transformations. Their work is integral to the ongoing process of iterative improvement, with a particular focus on enhancing auto-reconciliation within the system through advanced technology.
Responsibilities
- Import and validate file delivery for new clients.
- Automate daily process monitoring and reporting.
- Establish connections through external APIs and FTPs.
- Ensure timely and dependable consumption of external portfolio data.
- Normalise external datasets into a standardised Clearwater format facilitating the in-take process.
- Mine data from existing feeds to identify, design, and implement solutions to improve auto-reconciliation.
- Execute improvements requested from Operations and Development groups.
- Apply acquired skills, procedures, and decision‐making best practices to complete various issues, such as normalising new feeds and improving automation.
- Understand and reference or explain the general workflow, tools, and Clearwater value proposition.
- Use critical thinking to address issues and offer solutions for both internal and external parties, ensuring best practices are employed.
- Clearly and effectively communicate the technical aspects of Clearwater systems and our best practices with non‐technical internal and external stakeholders.
- Engage in light on‐call duties.
Required Skills
- Strong understanding of SQL and relational database principles.
- Experience with scripting programming languages like Groovy, Perl or Python.
- Some knowledge of securities, accounting, or financial topics preferred.
- Strong computer skills, including proficiency in Microsoft Office.
- Excellent attention to detail and strong documentation skills.
- Outstanding verbal and written communication skills.
- Strong organisational and interpersonal skills.
- Exceptional problem‐solving abilities.
Education and Experience
- Bachelor's degree in Maths, Physics, Computer Information Systems, or other relevant degrees.
- 1+ years of relevant experience, or Master's degree in relevant discipline, preferred.
Data Flow Engineer in Edinburgh employer: SwiftCruit
At Global, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London that fosters innovation and collaboration. As a Senior Machine Learning Engineer, you'll not only have the opportunity to influence millions through cutting-edge AI solutions but also benefit from a culture that encourages professional growth, cross-functional partnerships, and the development of reusable engineering standards. With a commitment to employee development and a focus on impactful projects, Global is the ideal place for those seeking meaningful and rewarding careers in data science and machine learning.
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We think this is how you could land Data Flow Engineer in Edinburgh
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We think you need these skills to ace Data Flow Engineer in Edinburgh
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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