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For Companies At a Glance
- Tasks: Design and develop data pipelines, enhance platforms, and ensure data reliability.
- Company: Neptune North is a tech consulting joint venture focused on premium services and talent development.
- Benefits: Enjoy a dynamic work environment with career growth opportunities and exposure to diverse datasets.
- Why this job: Make an impact from day one while collaborating with talented professionals in a fast-paced setting.
- Qualifications: A/B grades at A-levels and a 2.1 or better from a Russell Group university required.
- Other info: Ideal for those eager to tackle real-world data challenges and drive innovation.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
- Data Pipeline Development: Design and develop sophisticated data pipelines to import data from external vendors, sell-side partners and other providers seamlessly into their central data platform
- Platform Development and Testing: Contribute to the ongoing enhancement of their platform to ensure it aligns with ever-changing business requirements. Test the system regularly to confirm its effectiveness and perform troubleshooting when necessary
- Platform Maintenance and Data Reliability: Ensure the platform is well maintained, enabling uninterrupted access to crucial data points. Continuously verify data quality and integrity essential for investment process
- Continuous improvement and collaboration: Collaborate with internal stakeholders to streamline data accessibility and usability. Drive innovation by adopting advanced analytics technologies and methodologies
The RequirementsThis is an outstanding opportunity where you will be able to make an impact from day one. Working with an exceptionally talented group of people, you will have exposure to a wide variety of datasets with significant opportunities to master different practises, tools and skills and allow you to apply your experience and insight to solve interesting real-world data challenges across multiple asset classes.You will need to be capable of thriving in a fast-paced and intellectually demanding environment. The client are looking for excellent academics, A/B grades at A-levels and a 2.1 or better from a Russell Group university, in addition to some good commercial experience. Key requirements include:
- Expertise in designing and building data pipelines
- Highly proficient in SQL, Python, AWS and other data management technologies
- Ability to test and troubleshoot data platforms reliably. A track record of improving data reliability quality
- An ability to produce high quality analysis whilst managing complexity
- High attention to detail and a demonstrable drive for excellence
- A desire to understand and solve business problems, build domain knowledge and increase market understanding
Data Engineer employer: Nigel Wright Group
Contact Detail:
Nigel Wright Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as SQL, Python, and AWS. Consider working on personal projects or contributing to open-source projects that utilise these tools to showcase your skills.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work at Neptune North or similar companies. Attend industry meetups or webinars to connect with potential colleagues and learn more about the company culture.
✨Tip Number 3
Prepare to discuss real-world data challenges you've faced in previous roles or projects. Be ready to explain how you approached these problems, the solutions you implemented, and the impact of your work on data reliability and quality.
✨Tip Number 4
Demonstrate your understanding of the business side of data engineering. Research Neptune North's clients and the types of data they handle, so you can speak knowledgeably about how your work can support their investment processes.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines, SQL, Python, and AWS. Use specific examples from your past roles that demonstrate your ability to design and build data solutions.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at Neptune North. Mention how your skills align with their requirements and your desire to thrive in a fast-paced environment. Be sure to include any relevant commercial experience.
Showcase Problem-Solving Skills: Provide examples of how you've solved complex data challenges in previous roles. Highlight your attention to detail and your drive for excellence, as these are key traits they are looking for.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no spelling or grammatical errors, and that all information is clear and concise. A polished application reflects your professionalism.
How to prepare for a job interview at Nigel Wright Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and AWS in detail. Bring examples of data pipelines you've designed or improved, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical thinking and problem-solving skills. Prepare to discuss specific instances where you've tackled complex data issues and how your solutions benefited the project or team.
✨Highlight Collaboration Experience
Since the role involves working closely with various teams, share examples of how you've successfully collaborated with stakeholders in previous roles. Emphasise your ability to communicate technical concepts to non-technical team members.
✨Prepare for Scenario-Based Questions
Anticipate scenario-based questions that test your troubleshooting skills and your approach to maintaining data reliability. Think about past experiences where you had to ensure data quality and how you handled any discrepancies.
