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- Tasks: Join our team as a Data Engineer, developing and maintaining data flows for business applications.
- Company: We're a leading Financial Services firm in London, committed to innovation and excellence.
- Benefits: Enjoy a hybrid work model, flexible hours, and opportunities for professional growth.
- Why this job: Be part of a dynamic team, enhance your skills, and make a real impact on data strategy.
- Qualifications: Strong experience with data pipelines, SQL development, and analytical problem-solving required.
- Other info: Collaborative culture with a focus on accountability and continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
Hybrid role 2 days in the London Office.
My Financial Services Client is looking for a Data Engineer to join their expanding team. You will be responsible for developing and maintaining the data flows around their local business applications. You will ensure that data processes are documented and developed in-line with the data strategy, identifying technical and data issues in the process. You will be working closely with various departments to ensure data is efficiently processed, stored, and made accessible for analysis and decision-making.
Duties & Responsibilities:
- Taking ownership of the integrated data solution, SIA, and focusing on its development and enhancement.
- Reviewing and finalising our new data pipeline to deliver quality, well-structured data across the business.
- Implementing and monitoring data quality metrics to ensure it meets downstream user expectations.
- Ensuring data flow and coding are well structured and documented.
- Conducting peer review of others’ work to ensure high quality release.
- Working with data users across the business to document and resolve data issues.
- Coding, testing (module/component tests), correcting, and documenting solutions using agreed standards and tools.
- Working independently and managing workload delivery to completion.
- Developing controls and reporting to mitigate future data issues.
- Working with group functions to integrate local data flows into cloud platforms as solutions are upgraded/adopted.
- Contributing to project and BAU plans to estimate the time, cost, and resource effort for projects and change requests.
Experience:
- Strong experience working with data pipelines.
- Experience specifying, documenting, and making corrections to complex datasets.
- Experience working on end-to-end data provisioning, from initial scoping to ongoing maintenance.
- Knowledge of data warehousing solutions.
- Experience working in a collaborative style creating a culture of accountability and sharing.
- Proficiency in SQL development.
- Ability to learn rapidly and adapt to change.
- Strong analytical skills.
- Excellent problem-solving skills and attention to detail.
- Experience with cloud platforms, particularly Azure is preferred but not essential.
Data Engineer - Permanent (London Area) employer: JSS Transform
Contact Detail:
JSS Transform Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Permanent (London Area)
✨Tip Number 1
Familiarise yourself with the specific data tools and technologies mentioned in the job description, such as SQL and cloud platforms like Azure. This will not only help you understand the role better but also allow you to speak confidently about your experience during interviews.
✨Tip Number 2
Network with current or former employees of the company on platforms like LinkedIn. Engaging with them can provide you with insider knowledge about the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 3
Prepare to discuss specific examples from your past work that demonstrate your experience with data pipelines and problem-solving skills. Having concrete examples ready will show your potential employer that you have the practical experience they are looking for.
✨Tip Number 4
Stay updated on the latest trends and best practices in data engineering. Being knowledgeable about current industry standards will not only impress your interviewers but also show your commitment to continuous learning and improvement.
We think you need these skills to ace Data Engineer - Permanent (London Area)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines, SQL development, and any relevant cloud platforms like Azure. Use specific examples from your past roles that demonstrate your ability to manage data flows and resolve issues.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the Data Engineer role and how your skills align with the company's needs. Mention your experience in developing data solutions and your collaborative approach to working with different departments.
Showcase Relevant Projects: If you have worked on specific projects related to data warehousing or data quality metrics, include these in your application. Describe your role, the challenges faced, and the outcomes achieved to demonstrate your problem-solving skills.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A well-presented application reflects your attention to detail, which is crucial for a Data Engineer role.
How to prepare for a job interview at JSS Transform
✨Showcase Your Data Pipeline Experience
Be prepared to discuss your previous work with data pipelines in detail. Highlight specific projects where you developed or maintained data flows, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Problem-Solving Skills
Since the role requires strong analytical and problem-solving abilities, think of examples where you've successfully resolved data issues. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Familiarise Yourself with SQL and Data Warehousing
Brush up on your SQL skills and be ready to answer technical questions related to data warehousing solutions. You might be asked to write queries or explain how you would approach a data-related problem.
✨Understand the Company’s Data Strategy
Research the financial services client and their data strategy. Understanding their business model and how they utilise data will help you align your answers with their goals and demonstrate your genuine interest in the role.
