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- Tasks: Build and evolve AWS cloud-based data infrastructure with large datasets.
- Company: Rapidly growing tech business in Bristol with a focus on innovation.
- Benefits: Competitive salary, 25 days holiday, private healthcare, and training opportunities.
- Why this job: Join a Data and AI team using the latest technologies to make an impact.
- Qualifications: Strong Python and SQL skills, experience with distributed data processing.
- Other info: Hybrid working model with excellent career growth potential.
Avanti Recruitment is working with a rapidly growing technology business in Bristol to recruit a talented AWS Data Engineer to join their team. You will help build and evolve their AWS cloud-based data infrastructure. You’ll work with large datasets and a modern AWS stack, designing scalable pipelines and delivering reliable data to teams across the organisation.
In this role, you will develop and maintain ETL and ELT workflows using Apache Spark, Python and AWS Glue, while architecting solutions that make extensive use of AWS services including S3, Redshift, EMR, Lambda, Kinesis, DynamoDB, IAM, CloudWatch and Step Functions. You’ll ensure data quality, troubleshoot pipeline issues and continuously look for ways to improve performance and reliability.
To be successful you’ll need strong Python and SQL skills, experience with distributed data processing, and solid understanding of AWS cloud-based data engineering. Familiarity with data lakes, data warehouses and both relational and NoSQL databases is important. Experience with Infrastructure as Code, streaming technologies or orchestration tools is helpful but not required.
Salary: £50,000 - £70,000 + 25 days holiday + private healthcare + training
Location: Bristol – Hybrid working – 3 days in the office / 2 days from home
This will be a great role for an experienced AWS Data Engineer who wants to work in a Data and AI team with the latest technologies.
AWS Data Engineer (Hybrid) Bristol employer: Avanti Recruitment
Contact Detail:
Avanti Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer (Hybrid) Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at companies you're interested in. You never know who might give you a heads-up about an opening or refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, Python, and data engineering. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and AWS services. Practice explaining your past projects and how you've tackled challenges. Confidence is key, so get comfortable talking about your experience!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and eager to join our team.
We think you need these skills to ace AWS Data Engineer (Hybrid) Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, Python, and SQL. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Technical Skills: Since this role involves working with various AWS services and data processing tools, make sure to mention any specific technologies you’ve worked with. We love seeing hands-on experience with tools like Apache Spark and AWS Glue!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Avanti Recruitment
✨Know Your AWS Services
Make sure you brush up on your knowledge of AWS services like S3, Redshift, and Lambda. Be ready to discuss how you've used these in past projects or how you would approach using them in this role.
✨Showcase Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a problem or explain how you would handle data processing tasks, so practice coding challenges related to ETL workflows.
✨Understand Data Quality and Troubleshooting
Be prepared to talk about your experience with ensuring data quality and troubleshooting pipeline issues. Share specific examples of challenges you've faced and how you resolved them to show your problem-solving skills.
✨Familiarise Yourself with Data Lakes and Warehouses
Since familiarity with data lakes and warehouses is important, make sure you can explain the differences and use cases for both. Discuss any relevant experience you have with relational and NoSQL databases to highlight your versatility.
