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- Tasks: Join our Customer Engagement team to enhance customer data for personalised marketing.
- Company: E-Resourcing Ltd connects talent with top global brands in the tech industry.
- Benefits: Enjoy a hybrid work model, competitive salary, bonuses, and ongoing training opportunities.
- Why this job: Be part of a dynamic team driving data-driven decisions in a leading global brand.
- Qualifications: 5+ years in data or software engineering with strong Azure and Databricks skills required.
- Other info: This role offers access to cutting-edge cloud technologies and professional development.
The predicted salary is between 60000 - 84000 £ per year.
Our client, a global brand, is looking for a Senior Data Engineer to join their Customer Engagement team. You'll play a key role in improving how customer data is used to deliver personalised marketing and communication across platforms like Microsoft Dynamics and Salesforce Marketing Cloud. You'll design and build reliable data pipelines using tools like Azure Databricks, Data Factory, and Synapse Analytics, helping teams across marketing, product, and engineering make better, data-driven decisions.
Key responsibilities:
- Build and maintain cloud-based data pipelines and integrations
- Collaborate with internal teams and external partners
- Lead on code quality and review processes
- Support systems and tools used for customer engagement
Requirements:
- 5+ years of experience in data or software engineering
- Strong hands-on experience with Azure and Databricks
- Good communication and teamwork skills
- Familiar with CI/CD practices and agile delivery
You’ll be supported with training, certifications, and access to the latest cloud technologies. If this is of interest, please apply with your CV and we will be in touch.
Senior Data Engineer employer: E-Resourcing Ltd - Specialist I.T. Recruitment
Contact Detail:
E-Resourcing Ltd - Specialist I.T. Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Azure Databricks and Data Factory. Having hands-on experience or even personal projects using these technologies can set you apart during discussions.
✨Tip Number 2
Showcase your collaboration skills by preparing examples of how you've worked with cross-functional teams in the past. This will demonstrate your ability to communicate effectively and contribute to a team environment.
✨Tip Number 3
Brush up on CI/CD practices and agile methodologies, as these are crucial for the role. Being able to discuss how you've implemented these practices in previous roles can highlight your readiness for the position.
✨Tip Number 4
Prepare thoughtful questions about the company's customer engagement strategies and how data plays a role in their marketing efforts. This shows your genuine interest in the role and helps you stand out as a candidate.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data engineering, particularly with Azure and Databricks. Use specific examples to demonstrate your skills in building data pipelines and collaborating with teams.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and how your background aligns with the role. Mention your experience with CI/CD practices and agile delivery, as these are key requirements.
Highlight Key Projects: In your application, include details about specific projects where you successfully built cloud-based data pipelines or improved customer engagement through data-driven decisions. This will help illustrate your hands-on experience.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial in data engineering roles.
How to prepare for a job interview at E-Resourcing Ltd - Specialist I.T. Recruitment
✨Showcase Your Technical Skills
As a Senior Data Engineer, you'll need to demonstrate your expertise in Azure and Databricks. Be prepared to discuss specific projects where you've built data pipelines or integrations, and highlight any challenges you overcame.
✨Emphasise Collaboration
This role involves working closely with various teams. Share examples of how you've successfully collaborated with marketing, product, or engineering teams in the past, and how your contributions led to better data-driven decisions.
✨Discuss CI/CD Practices
Familiarity with CI/CD practices is essential for this position. Be ready to explain your experience with these methodologies and how they have improved your workflow and code quality in previous roles.
✨Prepare Questions About the Role
Interviews are a two-way street. Prepare insightful questions about the Customer Engagement team and their current projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
