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- Tasks: Design and maintain data pipelines using AWS services for analytics and reporting.
- Company: Amber Labs is a dynamic tech consultancy focused on innovation and collaboration.
- Benefits: Enjoy flexible work, private medical insurance, and 25 days of annual leave.
- Why this job: Join a rapidly growing start-up that values personal growth and experimentation.
- Qualifications: Experience with AWS data services and scripting languages; AWS certification preferred.
- Other info: This is a 6-month fixed-term contract; BPSS clearance required.
The predicted salary is between 42000 - 60000 £ per year.
Direct message the job poster from Amber Labs
Travel to the Newcastle office will be required 2-4 times a month
The Company:
At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff.
Job Summary
We are seeking an experienced AWS Data Engineer with strong hands-on expertise in AWS cloud-based data services. You will be responsible for designing, building, and maintaining data pipelines to support enterprise data warehousing, analytics, and reporting solutions.
Key Responsibilities
- Work with large-scale structured and unstructured data from various sources including on-premise and cloud platforms.
- Develop and optimize data pipelines and data integration processes between on-premises systems and AWS cloud services such as S3, Redshift, RDS, Glue, and Lambda.
- Collaborate with Data Architects, Data Analysts, and BI developers to understand data requirements and deliver solutions.
- Ensure data quality, consistency, and governance across platforms.
- Implement error handling, logging, and performance tuning for ETL jobs.
- Support production deployments, monitoring, and incident resolution.
- Design and develop ETL/ELT workflows using Informatica to support data integration and transformation needs.
Required Skills and Experience
- AWS data services such as S3, Redshift, Glue, EMR, Lambda, or RDS.
- Knowledge of scripting languages (e.g., Python, Shell) for automation and orchestration.
- Experience working in Agile environments and using tools such as JIRA, Git, or CI/CD pipelines.
- Excellent problem-solving, debugging, and performance tuning skills.
Preferred Qualifications
- AWS Certification (e.g., AWS Certified Data Analytics – Specialty, AWS Certified Solutions Architect – Associate).
- Experience migrating on-premise ETL processes to the cloud.
- Knowledge of Informatica Cloud integrations with AWS.
- Exposure to DevOps and Infrastructure as Code (e.g., Terraform, CloudFormation).
- Competitive salary and performance-based bonus structure.
- Join a rapidly expanding start-up where personal growth is a part of our DNA.
- Benefit from a flexible work environment focused on deliverable outcomes.
- Receive private medical insurance through Aviva.
- Enjoy the benefits of a company pension plan through Nest.
- 25 days of annual leave plus UK bank holidays.
- Access Perkbox, a global employee rewards platform offering discounts, perks, and wellness resources.
- Participate in a generous employee referral program.
- A highly collaborative and collegial environment with opportunities for career advancement.
- Be encouraged to take bold steps and embrace a mindset of experimentation.
- Choose your preferred device, PC or Mac.
Diversity & Inclusion:
Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. Our commitment to diversity, equality, and inclusion includes:
- Valuing the unique experiences, perspectives, and backgrounds of all employees and creating an environment where everyone feels welcomed, respected, and valued.
- Prohibiting all forms of harassment, bullying, discrimination, and victimisation and promoting a culture of dignity and respect for all.
- Educating all new hires on our Diversity and Inclusion policies and ensuring they are aware of their rights and responsibilities to create a safe and inclusive workplace.
- By taking these steps, we are dedicated to building a workplace that reflects and celebrates the diversity of our employees and communities.
This role at Amber Labs is a 6 Month salary based FTC position, and all employees are required to hold BPSS. Please be advised that, at this time, we are unable to consider candidates who require sponsorship or hold a visa of any type.
What Happens Next?
Our Talent Acquisition Team will be in touch to advise you on the next steps. We have a two-stage interview process for most of our consultants. In certain cases, we may include a third and final stage, which is a conversation with the company Partners. This will only be considered if deemed necessary.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
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Job function
Information Technology
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Industries
IT Services and IT Consulting
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AWS Data Engineer employer: Amber Labs
Contact Detail:
Amber Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer
✨Tip Number 1
Familiarise yourself with AWS data services like S3, Redshift, and Glue. Having hands-on experience or projects showcasing your skills with these tools can set you apart during the interview process.
✨Tip Number 2
Network with current employees at Amber Labs or similar companies. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Brush up on your scripting skills, particularly in Python or Shell. Being able to demonstrate your automation capabilities during technical discussions will highlight your suitability for the role.
✨Tip Number 4
Prepare for Agile methodologies and tools like JIRA and Git. Understanding how these tools are used in a collaborative environment will show that you can seamlessly integrate into their 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 relevant experience with AWS data services like S3, Redshift, and Glue. Use specific examples of projects where you've designed or maintained data pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at Amber Labs. Mention how your skills align with their focus on collaboration and rapid learning, and provide examples of how you've worked in Agile environments.
Showcase Technical Skills: Clearly list your technical skills related to the job description, such as scripting languages (Python, Shell) and experience with ETL processes. Highlight any AWS certifications you hold, as these are preferred qualifications.
Demonstrate Problem-Solving Abilities: Include examples in your application that showcase your problem-solving and debugging skills. Discuss specific challenges you've faced in previous roles and how you overcame them, particularly in data integration and performance tuning.
How to prepare for a job interview at Amber Labs
✨Showcase Your AWS Expertise
Make sure to highlight your hands-on experience with AWS data services like S3, Redshift, and Glue. Be prepared to discuss specific projects where you designed and maintained data pipelines, as this will demonstrate your practical knowledge and problem-solving skills.
✨Demonstrate Collaboration Skills
Since Amber Labs values collaboration, be ready to share examples of how you've worked with cross-functional teams. Discuss your experiences collaborating with Data Architects, Analysts, and BI developers to meet data requirements and deliver effective solutions.
✨Prepare for Technical Questions
Expect technical questions related to ETL processes, data quality, and performance tuning. Brush up on your knowledge of scripting languages like Python or Shell, as well as Agile methodologies, to show that you're well-versed in the tools and practices relevant to the role.
✨Emphasise Your Problem-Solving Abilities
Be ready to discuss specific challenges you've faced in previous roles and how you overcame them. Highlight your debugging and performance tuning skills, as these are crucial for an AWS Data Engineer, especially when dealing with large-scale data integration.
