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- Tasks: Build data pipelines and workflows for analytics using AWS tools.
- Company: Join 83zero, a leader in digital services and innovation.
- Benefits: Enjoy hybrid working, competitive salary, bonuses, and private healthcare.
- Why this job: Be part of a transformative team shaping the future of customer experience.
- Qualifications: Must be eligible for Security Check and have relevant data engineering skills.
- Other info: Flexible work locations with a mix of office, client sites, and home.
The predicted salary is between 40000 - 64000 £ per year.
AWS Data Engineer Salary: £50,000 – £80,000 – Bonus + Pension + Private Healthcare Location: London / UK Wide Location – Hybrid working * To be successfully appointed to this role, you must be eligible for Security Check (SC) and/or Developed Vetting (DV) clearance. The Client: 83zero is proud to be partnered with a global leader in digital services, driving innovation in customer experience through CRM, marketing, business intelligence, and cloud solutions. Their cutting-edge technologies are tailored for enterprise clients, delivering platforms that not only meet today’s business needs but also pave the way for future growth. These solutions empower digital transformation initiatives, unlock new business opportunities, and make customer relationship operations more relevant in today’s evolving landscape. Hybrid Working: Your work locations will vary based on your role, business needs, and personal preferences. This will include a mix of office-based work, client sites, and home working, with the understanding that 100% home working is not an option. Your Role Create robust pipelines to ingest, process, and transform data, ensuring it is ready for analytics and reporting. Develop, Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and AWS tools. Utilise DevOps methodologies and tools for continuous integration and deployment (CI/CD), infrastructure as code (IaC), and automation to streamline and enhance our data engineering processes. Leverage your analytical skills to design innovative data solutions that address complex business requirements and drive decision-making.Your Skills and Experience Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Strong experience with modern programming languages such as Python, Java, and Scala. In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop. Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets.To apply please click the “Apply” button and follow the instructions. For a further discussion, please contact Caitlin Earnshaw on 83DATA is a boutique Tech & Data Recruitment Consultancy based within the UK. We provide high quality interim and permanent Tech & Data professionals
AWS Data Engineer employer: 83zero Ltd
Contact Detail:
83zero Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer
✨Tip Number 1
Familiarize yourself with AWS services, especially those related to data engineering like AWS Glue, Redshift, and S3. Having hands-on experience or certifications in these areas can significantly boost your chances.
✨Tip Number 2
Showcase your experience with ETL/ELT processes in your discussions. Be prepared to discuss specific projects where you successfully implemented these workflows, as practical examples can set you apart.
✨Tip Number 3
Highlight your understanding of DevOps methodologies. Being able to demonstrate how you've integrated these practices into your data engineering work will resonate well with the hiring team.
✨Tip Number 4
Since this role requires Security Check (SC) and/or Developed Vetting (DV) clearance, be ready to discuss your eligibility and any relevant background checks. This shows your preparedness for the role's requirements.
We think you need these skills to ace AWS Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the AWS Data Engineer position. Understand the key responsibilities, required skills, and the technologies mentioned, such as ETL/ELT workflows and AWS tools.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Emphasize your expertise in data pipelines, analytics, and any experience with DevOps methodologies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the company's mission. Mention specific projects or experiences that demonstrate your ability to create robust data solutions.
Highlight Security Clearance Eligibility: Since eligibility for Security Check (SC) and/or Developed Vetting (DV) clearance is required, make sure to mention your eligibility or willingness to obtain this clearance in your application.
How to prepare for a job interview at 83zero Ltd
✨Understand AWS Services
Make sure you have a solid understanding of AWS services relevant to data engineering, such as S3, Redshift, and Glue. Be prepared to discuss how you've used these tools in past projects.
✨Showcase Your ETL/ELT Experience
Be ready to explain your experience with ETL and ELT processes. Provide specific examples of workflows you've developed and the impact they had on data accessibility and reporting.
✨Familiarize Yourself with DevOps Practices
Since the role involves DevOps methodologies, brush up on your knowledge of CI/CD pipelines and automation tools. Discuss how you've integrated these practices into your data engineering work.
✨Prepare for Security Clearance Questions
As this position requires Security Check (SC) or Developed Vetting (DV) clearance, be prepared to answer questions about your background and any potential security concerns. Honesty and transparency are key.
