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- Tasks: Join our team as an AWS Data Engineer, managing and optimising data infrastructure.
- Company: We're a data-driven company expanding our innovative data team in Leeds.
- Benefits: Enjoy a competitive salary, flexible working options, and 25 days annual leave plus your birthday off.
- Why this job: Be part of a dynamic culture where your skills will directly impact our data processes.
- Qualifications: Strong AWS knowledge, experience in data engineering, and proficiency in Python or SQL required.
- Other info: This is a permanent role for UK residents only; no sponsorship available.
The predicted salary is between 39000 - 91000 £ per year.
My client is a data-driven company who are currently expanding their data team. They are looking for a skilled AWS Data Engineer to help manage, optimize, and scale their data infrastructure. You will build and maintain pipelines to help process large volumes of data.
Requirements:
- AWS Experience: Strong knowledge of AWS services, particularly Redshift, S3, Lambda, Glue, RDS, and EC2.
- Data Engineering: Experience with ETL processes, data warehousing, and building data pipelines.
- Programming: Proficiency in Python, SQL, and/or other scripting languages.
- Data Processing: Familiarity with distributed processing frameworks such as Apache Spark or Apache Kafka is a plus.
- Collaboration: Ability to work effectively with both technical and non-technical stakeholders.
- Professional experience: as a Data Engineer.
Benefits:
- Competitive Salary: £65,000 per annum
- Flexible Working: Hybrid or remote working options to help you maintain work-life balance.
- 25 days annual leave + Bank holidays and Birthday off
- And much more
Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.
AWS Data Engineer employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer
✨Tip Number 1
Familiarise yourself with the specific AWS services mentioned in the job description, such as Redshift and S3. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Brush up on your ETL processes and data warehousing knowledge. Being able to discuss your previous experiences in building data pipelines will demonstrate your capability to manage and optimise data infrastructure effectively.
✨Tip Number 3
Prepare to discuss your programming skills, particularly in Python and SQL. Be ready to share examples of how you've used these languages in past projects, as this will highlight your technical proficiency.
✨Tip Number 4
Showcase your collaboration skills by preparing examples of how you've worked with both technical and non-technical stakeholders. This will demonstrate your ability to communicate complex ideas clearly and work effectively within a team.
We think you need these skills to ace AWS Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS services, particularly those mentioned in the job description like Redshift, S3, and Lambda. Use specific examples to demonstrate your skills in data engineering and programming.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the company's data-driven approach. Mention how your skills align with their needs and express your enthusiasm for the role.
Showcase Relevant Projects: If you have worked on projects involving ETL processes, data warehousing, or building data pipelines, be sure to include these in your application. Highlight any experience with distributed processing frameworks like Apache Spark or Kafka.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in a technical role.
How to prepare for a job interview at Tenth Revolution Group
✨Showcase Your AWS Expertise
Make sure to highlight your experience with AWS services, especially Redshift, S3, Lambda, Glue, RDS, and EC2. Be prepared to discuss specific projects where you utilised these tools and how they contributed to the success of your data infrastructure.
✨Demonstrate Data Engineering Skills
Discuss your experience with ETL processes, data warehousing, and building data pipelines. Providing examples of challenges you've faced and how you overcame them will show your problem-solving abilities and technical expertise.
✨Prepare for Technical Questions
Expect questions related to programming languages like Python and SQL, as well as distributed processing frameworks such as Apache Spark or Kafka. Brush up on your coding skills and be ready to solve problems on the spot.
✨Emphasise Collaboration Skills
Since the role requires working with both technical and non-technical stakeholders, be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and ability to translate complex technical concepts into understandable terms.
