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- Tasks: Monitor data quality and implement security measures while designing data pipelines.
- Company: Join a leading Bank at the forefront of financial services.
- Benefits: Enjoy a hybrid work model with 2 days in the office each week.
- Why this job: Be part of a dynamic team delivering impactful data solutions in a reputable institution.
- Qualifications: Experience as a Security Data Engineer in banking, with skills in Azure and security tools required.
- Other info: This is a mid-senior level contract position.
The predicted salary is between 48000 - 72000 £ per year.
Location : Central London – Hybrid (2 days per week in office)
An exciting opportunity for an experienced Security Data Engineer to join a leading Bank.
Responsibilities:
- Monitor data quality, implementing security measures and ensuring data governance.
- Work with cross-functional teams to deliver data solutions across the business.
- Design and build data pipelines.
- Communicate with senior stakeholders.
Required Skills:
- Proven experience as a Security Data Engineer within banking and financial services.
- Substantial experience working in Azure environments.
- Ability to build scalable data pipelines.
- Experience with security tools.
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Engineering and Analyst
Industries
Data Infrastructure and Analytics and Financial Services
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Security Data Engineer employer: ea Change
Contact Detail:
ea Change Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Security Data Engineer
✨Tip Number 1
Familiarize yourself with the specific security tools and technologies mentioned in the job description. Highlight any relevant experience you have with these tools during your conversations with us.
✨Tip Number 2
Since this role involves working with cross-functional teams, be prepared to discuss examples of how you've successfully collaborated with different departments in previous roles. This will show your ability to communicate effectively with senior stakeholders.
✨Tip Number 3
Make sure to showcase your experience in Azure environments. If you have specific projects or achievements related to Azure, be ready to share those insights during your discussions with us.
✨Tip Number 4
Understand the importance of data governance in the banking sector. Be prepared to discuss how you've implemented data quality measures in your past roles, as this is a key responsibility for the position.
We think you need these skills to ace Security Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Security Data Engineer position. Understand the key responsibilities and required skills, especially focusing on data quality, security measures, and Azure environments.
Tailor Your CV: Customize your CV to highlight your relevant experience in banking and financial services. Emphasize your proven track record as a Security Data Engineer and your ability to build scalable data pipelines.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for data security and your experience with security tools. Mention specific projects where you implemented data governance and collaborated with cross-functional teams.
Highlight Communication Skills: Since the role involves communicating with senior stakeholders, make sure to include examples of how you've effectively communicated complex data solutions in previous roles. This will demonstrate your ability to engage with various levels of the organization.
How to prepare for a job interview at ea Change
✨Showcase Your Security Expertise
Be prepared to discuss your experience with security tools and data governance. Highlight specific projects where you implemented security measures and how they benefited the organization.
✨Demonstrate Azure Proficiency
Since substantial experience in Azure environments is required, be ready to talk about your familiarity with Azure services. Share examples of how you've built scalable data pipelines using Azure.
✨Communicate Effectively with Stakeholders
As communication with senior stakeholders is key, practice articulating complex technical concepts in a way that non-technical team members can understand. Prepare to discuss how you've successfully collaborated with cross-functional teams.
✨Prepare for Technical Questions
Expect technical questions related to data engineering and security. Brush up on your knowledge of data pipeline design and data quality monitoring to confidently answer any scenario-based questions.
