At a Glance
- Tasks: Design and manage scalable data pipelines on AWS, collaborating with data scientists and engineers.
- Company: Amber Labs is a cutting-edge tech consultancy focused on autonomy and rapid learning.
- Benefits: Enjoy flexible work, competitive salary, private medical insurance, and 25 days annual leave.
- Why this job: Join a collaborative team that values experimentation and offers career advancement opportunities.
- Qualifications: 5+ years in data engineering with strong AWS skills; proficiency in Python, SQL, and ETL development.
- Other info: This role requires current SC clearance and is a 12-month FTC position.
The predicted salary is between 43200 - 72000 £ per year.
Join to apply for the AWS Data Engineer role at Amber Labs.
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.
Overview
We are looking for a highly skilled AWS Data Engineer to join our team. The ideal candidate will have expertise in designing, building, and managing scalable data pipelines on AWS. You will work closely with data scientists, analysts, and software engineers to implement efficient data solutions that support business intelligence and analytics needs.
Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using AWS services such as AWS Glue, Lambda, Step Functions, and Kinesis.
- Work with structured and unstructured data from multiple sources, ensuring efficient data ingestion, transformation, and storage.
- Develop and optimize data lake and data warehouse solutions using Amazon S3, Redshift, Athena, and Lake Formation.
- Implement data governance, security, and compliance best practices, including IAM roles, encryption, and access controls.
- Monitor and optimize performance of data workflows using CloudWatch, AWS Step Functions, and performance tuning techniques.
- Automate data processes using Python, PySpark, SQL, or AWS SDKs.
- Collaborate with cross-functional teams to support AI/ML, analytics, and business intelligence initiatives.
- Maintain and enhance CI/CD pipelines for data infrastructure using Terraform, CloudFormation, or CDK.
- Troubleshoot and resolve data integration, performance, and reliability issues in a cloud environment.
Required Skills & Qualifications
- 5+ years of experience in data engineering with a strong focus on AWS cloud technologies.
- Proficiency in Python, PySpark, SQL, and AWS Glue for ETL development.
- Hands-on experience with AWS data services, including Redshift, Athena, Glue, EMR, and Kinesis.
- Strong knowledge of data modeling, warehousing, and schema design.
- Experience with event-driven architectures, streaming data, and real-time processing using Kafka or Kinesis.
- Expertise in IaC (Infrastructure as Code) using Terraform, CloudFormation, or AWS CDK.
- Familiarity with DevOps and CI/CD practices for data pipelines.
- Strong problem-solving skills and ability to work in an Agile/Scrum environment.
Preferred Qualifications
- AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect – Associate.
- Experience with Airflow for workflow orchestration.
- Exposure to big data frameworks such as Apache Spark, Hadoop, or Presto.
- Hands-on experience with machine learning pipelines and AI/ML data engineering on AWS.
Benefits
- 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.
- Valuing the unique experiences, perspectives, and backgrounds of all employees and creating an environment where everyone feels welcomed, respected, and valued.
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:
This role at Amber Labs is a 12 Month FTC position, and all employees are required to hold current active SC clearance. 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: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: IT Services and IT Consulting
AWS Data Engineer (Must hold current SC) employer: Amberlabs
Contact Detail:
Amberlabs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer (Must hold current SC)
✨Tip Number 1
Familiarise yourself with AWS services mentioned in the job description, such as AWS Glue, Redshift, and Kinesis. Having hands-on experience or projects that showcase your skills with these tools can set you apart during the interview.
✨Tip Number 2
Network with current or former employees of Amber Labs on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 3
Prepare to discuss specific examples of how you've implemented data governance and security best practices in previous roles. This is crucial for demonstrating your understanding of compliance, especially since the role requires SC clearance.
✨Tip Number 4
Brush up on your problem-solving skills by reviewing common data engineering challenges and solutions. Being able to articulate your thought process in tackling these issues will impress the interviewers.
We think you need these skills to ace AWS Data Engineer (Must hold current SC)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS technologies and data engineering. Focus on specific projects where you've designed and built scalable data pipelines, and mention any relevant certifications.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at Amber Labs. Discuss how your skills align with their requirements, particularly in AWS services like Glue, Redshift, and Kinesis, and mention your experience with data governance and compliance.
Showcase Relevant Projects: Include examples of past projects that demonstrate your expertise in data engineering. Highlight your use of Python, PySpark, and any experience with CI/CD practices, as well as your ability to work in Agile/Scrum environments.
Highlight Soft Skills: Amber Labs values collaboration and problem-solving. Make sure to mention your ability to work in cross-functional teams and your approach to troubleshooting and resolving data integration issues.
How to prepare for a job interview at Amberlabs
✨Showcase Your AWS Expertise
Make sure to highlight your experience with AWS services during the interview. Be prepared to discuss specific projects where you've designed and managed scalable data pipelines using tools like AWS Glue, Redshift, and Kinesis.
✨Demonstrate Problem-Solving Skills
Amber Labs values strong problem-solving abilities. Prepare examples of challenges you've faced in data engineering and how you resolved them, particularly in cloud environments. This will show your capability to troubleshoot effectively.
✨Familiarise Yourself with Company Culture
Research Amber Labs' collaborative culture and their focus on experimentation and rapid learning. Be ready to discuss how you can contribute to this environment and share any experiences that align with their values.
✨Prepare for Technical Questions
Expect technical questions related to ETL processes, data governance, and performance optimisation. Brush up on your knowledge of Python, SQL, and Infrastructure as Code practices, as these are crucial for the role.