AWS Data Engineer (Must hold current SC)

AWS Data Engineer (Must hold current SC)

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.

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.

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