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- Tasks: Design and develop data pipelines, oversee ETL operations, and ensure data integrity.
- Company: Join a prestigious insurance company based in the heart of London.
- Benefits: Enjoy 28 days holiday and the flexibility of remote work.
- Why this job: Be part of a dynamic team, working on diverse projects with growth opportunities.
- Qualifications: 2-3 years experience in data analysis/engineering and expertise in Python and Azure Synapses.
- Other info: This role offers a chance to become a subject matter expert across multiple projects.
The predicted salary is between 42000 - 84000 £ per year.
A dynamic and prestigious insurance company based in the heart of the City of London is seeking a talented Data Engineer to join their team in this newly created role. This multifaceted position offers an exceptional opportunity for an experienced professional to work broadly across the business, planning, developing and implementing data solutions.
The successful candidate must possess strong analytical skills, in-depth understanding of data engineering principles and the ability to translate business requirements into high quality data solutions. The main focus of the role will include:
- Designing and developing data pipelines for the preparation, transformation and loading of data into the appropriate data storage systems, following standard medallion architecture principles.
- Overseeing ETL (Extract, Transform, Load) operations to ensure data from various sources is accurately transformed and loaded.
- Implementing data quality checks, validation rules, and profiling techniques to maintain high data integrity.
- Working on data cleansing and normalization to ensure data usability for business reporting and analysis purposes.
- Communicating technical concepts to non-technical team members ensuring alignment on project goals and data strategies.
- Optimising data models for performance and scalability.
- Troubleshooting and resolving data-related issues ensuring systems and pipelines run smoothly.
- May lead smaller projects or be part of larger projects involving planning, execution and reporting.
- Supporting code reviews, helping mentor team members and guiding project tasks.
- Participating in design and implementation of data warehousing solutions as required to meet business needs.
- Adhering to architecture, design, implementation, and security standards and best practices.
- Preparing technical documentation, including data flow, data storage design, test results, and technical manuals.
- Ensuring data consistency and integrity during the integration process, performing data validation and cleaning as needed.
To succeed in this role, the individual will need:
- Strong analytical skills and a curious mindset.
- Excellent communication and collaboration skills.
- Ability to work in a dynamic, fast-paced environment.
- Growth mindset and a willingness to learn new skills, technologies, and frameworks.
- Demonstrated ability to communicate complex technical information in a condensed manner to various stakeholders verbally and in writing.
- An expert working knowledge of Python and Azure Synapses.
- 2 - 3 years experience of working within a data analyst / engineering capacity.
This is a fantastic opportunity for an individual looking to be an SME to a business and operate broadly across a multitude of projects. The successful candidate can expect a generous benefits package which includes 28 days holiday and a remote working situation.
Data Engineer - Remote employer: Sarafin Partners
Contact Detail:
Sarafin Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Remote
✨Tip Number 1
Familiarise yourself with the specific data engineering tools and technologies mentioned in the job description, particularly Python and Azure Synapses. Having hands-on experience or projects showcasing your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Network with current employees or professionals in the insurance industry to gain insights into the company culture and expectations. This can help you tailor your approach during interviews and demonstrate your genuine interest in the role.
✨Tip Number 3
Prepare to discuss your previous experiences with data pipelines and ETL processes in detail. Be ready to share specific examples of how you've implemented data quality checks and resolved data-related issues, as this will showcase your practical knowledge.
✨Tip Number 4
Practice explaining complex technical concepts in simple terms, as effective communication is key for this role. Consider doing mock interviews with friends or mentors to refine your ability to convey technical information clearly to non-technical stakeholders.
We think you need these skills to ace Data Engineer - Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, particularly with Python and Azure Synapses. Use specific examples of projects where you've designed data pipelines or managed ETL operations.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your analytical skills and experience align with the job requirements, and provide examples of how you've successfully communicated technical concepts to non-technical stakeholders.
Showcase Relevant Projects: If you have worked on relevant projects, consider including a portfolio or a brief description of these projects in your application. Highlight your role, the technologies used, and the outcomes achieved, especially in relation to data quality checks and data cleansing.
Proofread Your Application: Before submitting, carefully proofread your application materials. Look for any grammatical errors or typos, and ensure that all information is clear and concise. A polished application reflects your attention to detail, which is crucial for a Data Engineer.
How to prepare for a job interview at Sarafin Partners
✨Showcase Your Analytical Skills
Prepare to discuss specific examples where you've used your analytical skills to solve complex problems. Highlight how you approached these challenges and the impact of your solutions on previous projects.
✨Demonstrate Technical Proficiency
Be ready to talk about your experience with Python and Azure Synapses. Consider preparing a brief overview of a project where you implemented data pipelines or ETL processes, focusing on the technical details and outcomes.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. Since the role involves communicating with non-technical team members, being able to convey complex information clearly will be crucial.
✨Emphasise Your Growth Mindset
Share examples of how you've embraced learning new technologies or frameworks in your career. This will demonstrate your adaptability and willingness to grow within the dynamic environment of the company.
