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For Companies At a Glance
- Tasks: Design and maintain data pipelines using Python and SQL for diverse stakeholders.
- Company: Join Natobotics, a leading player in the banking industry, based in Northampton.
- Benefits: Enjoy a hybrid work model with 2-3 days in the office and competitive perks.
- Why this job: Be part of a dynamic team shaping data solutions in a reputable banking environment.
- Qualifications: 8+ years of experience in data engineering, with strong skills in Python and SQL required.
- Other info: Experience in financial crime KYC/AML is a plus.
The predicted salary is between 48000 - 72000 £ per year.
Overview
Join to apply for the Senior data Engineer- Python role at Natobotics
Location: Northampton, UK | Industry: Banking | Hybrid: 2-3 days in the office
Job details
Role Title: Senior Data Engineer
Contract duration: 3 months
Responsibilities
- Work with large and diverse stakeholders for needs assessments and solution design.
- Develop and maintain data engineering pipelines using Python and SQL.
- Ensure SDLC lifecycle understanding, Scrum practices, and deployment processes are followed.
- Capture and document business requirements, stakeholder requirements, and solution requirements.
Qualifications
- Required Core Skills: Python, SQL, Analysis
- Minimum years of experience: 8+ years
- Industry domain: Banking (experience in financial crime KYC/AML, CRM, Payment, Transfer, Card) is a plus
Job function
- Information Technology
Industries
- IT Services and IT Consulting
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Senior data Engineer- Python employer: Natobotics
Contact Detail:
Natobotics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior data Engineer- Python
✨Tip Number 1
Familiarise yourself with the specific banking regulations and compliance standards, especially around KYC and AML. This knowledge will not only help you in interviews but also demonstrate your commitment to the industry.
✨Tip Number 2
Network with professionals in the banking and data engineering sectors. Attend relevant meetups or webinars to connect with potential colleagues or hiring managers at Natobotics, which could give you an edge in the application process.
✨Tip Number 3
Brush up on your Python and SQL skills by working on real-world projects or contributing to open-source initiatives. Having practical examples to discuss during interviews can significantly boost your chances of landing the job.
✨Tip Number 4
Prepare to discuss your experience with Agile methodologies, particularly Scrum. Be ready to share specific examples of how you've successfully implemented these practices in past projects, as this aligns closely with the role's requirements.
We think you need these skills to ace Senior data Engineer- Python
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Senior Data Engineer position. Understand the core skills required, such as Python and SQL, and how your experience aligns with the responsibilities outlined.
Tailor Your CV: Customise your CV to highlight relevant experience in data engineering, particularly focusing on your work with Python and SQL. Include specific examples of projects or tasks that demonstrate your expertise in the banking industry, especially in areas like KYC/AML or CRM.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also your understanding of the banking sector. Mention your experience with stakeholder engagement and solution design, as these are key aspects of the role.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail, which is crucial for a data engineering role.
How to prepare for a job interview at Natobotics
✨Showcase Your Python Expertise
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've developed data engineering pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate SQL Proficiency
Since SQL is a core requirement for this role, ensure you can talk about your experience with database management and query optimisation. Consider preparing examples of complex queries you've written or optimised in past roles.
✨Understand the Banking Domain
Familiarise yourself with key concepts in the banking industry, especially around financial crime, KYC/AML, and payment systems. Being able to relate your technical skills to industry-specific scenarios will set you apart.
✨Emphasise Collaboration Skills
As the role involves working with diverse stakeholders, be ready to discuss your experience in collaborative environments. Share examples of how you've successfully gathered requirements and worked within Scrum teams to deliver solutions.
