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- Tasks: Join our Data Engineering team to tackle complex data challenges using AWS and Spark.
- Company: We're a leading tech provider in market research, passionate about innovation and culture.
- Benefits: Enjoy hybrid work options and the chance to work with cutting-edge technology.
- Why this job: Leverage advanced tech to gain insights into digital consumer behavior while growing your skills.
- Qualifications: Strong problem-solving skills and proficiency in AWS or similar cloud technologies required.
- Other info: This role offers a unique opportunity to impact data infrastructure in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
Technology: AWS serverless, Terraform Python, Spark Location: Manchester (Hybrid) A leading technology provider in the market research industry is seeking a skilled Infrastructure Engineer to join their dynamic Data Engineering team. This is an exciting opportunity for those looking to leverage cutting-edge technology to gain deep insights into consumers’ digital lives. As a Infrastructure Engineer will you focus on DevOps, backend, and cloud development for the organizations data infrastructure. The role involves tackling complex data challenges using advanced technologies such as Apache Spark and AWS services, including Elastic MapReduce, Athena, and Lambda. Key Responsibilities: Adhere to company policies regarding security, quality, and health & safety. Write application code and tests that meet industry standards. Develop infrastructure automation and scheduling scripts to ensure reliable data processing. Continuously evaluate and suggest improvements for the data platform’s design and performance. Support production systems and collaborate with stakeholders to understand requirements. Essential Skills: Strong problem-solving abilities. Proficiency in AWS or equivalent cloud technologies. Familiarity with serverless technologies and frameworks. Experience with infrastructure automation tools like AWS, CloudFormation, or Terraform. Knowledge of Scala, Java, or Python and experience with SQL. This is a chance for a Data Infrastructure Engineer to join an ambitious and increasingly successful organisation who are passionate about their culture! **Unfortunately, due to the high volume of applicants not all submissions will receive feedback.
Data Infrastructure Engineer employer: Formula Recruitment
Contact Detail:
Formula Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Infrastructure Engineer
✨Tip Number 1
Familiarize yourself with the specific AWS services mentioned in the job description, such as Elastic MapReduce and Lambda. Having hands-on experience or projects that showcase your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Highlight any experience you have with infrastructure automation tools like Terraform or CloudFormation. Be prepared to discuss how you've used these tools to streamline processes or improve system reliability in past roles.
✨Tip Number 3
Showcase your problem-solving abilities by preparing examples of complex data challenges you've tackled in previous positions. This will demonstrate your critical thinking skills and your ability to adapt to new technologies.
✨Tip Number 4
Engage with the company’s culture by researching their values and mission. During any interviews or discussions, reference how your personal values align with theirs, which can help you stand out as a candidate who fits well within their team.
We think you need these skills to ace Data Infrastructure Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Infrastructure Engineer position. Highlight the key responsibilities and essential skills required, and think about how your experience aligns with them.
Tailor Your CV: Customize your CV to emphasize your experience with AWS, Terraform, Python, and Spark. Include specific projects or achievements that demonstrate your problem-solving abilities and familiarity with serverless technologies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and data engineering. Mention why you are excited about this opportunity and how you can contribute to the company's goals, particularly in improving their data platform.
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.
How to prepare for a job interview at Formula Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AWS, Terraform, and Python in detail. Highlight specific projects where you've successfully implemented these technologies, especially in a serverless environment.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Prepare examples of complex data challenges you've faced and how you approached them, particularly using tools like Apache Spark.
✨Understand the Company Culture
Research the company's values and culture. Be ready to explain how your personal values align with theirs, as they are passionate about their work environment and team dynamics.
✨Prepare for Collaboration Questions
Since the role involves working with stakeholders, think of examples that demonstrate your ability to collaborate effectively. Discuss how you gather requirements and communicate technical concepts to non-technical team members.
