At a Glance
- Tasks: Create and manage data connections, validate files, and enhance auto-reconciliation processes.
- Company: Join Clearwater Analytics, a leader in cloud-native investment management solutions.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on diversity and inclusion.
- Why this job: Make a real impact by improving data processes with cutting-edge technology.
- Qualifications: Strong SQL skills and experience with scripting languages like Python or Groovy.
The predicted salary is between 30000 - 40000 £ per year.
Job Summary: 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 employer: Clearwater Analytics, Ltd
Clearwater Analytics is an exceptional employer located in Edinburgh, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from a commitment to professional growth, with opportunities to enhance their skills in a cutting-edge environment focused on transforming investment management. The company's inclusive approach ensures that all voices are heard, making it a rewarding place for those seeking meaningful employment in the tech-driven finance sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Flow Engineer
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We think you need these skills to ace Data Flow Engineer
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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How to prepare for a job interview at Clearwater Analytics, Ltd
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Clearwater Analytics, Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
