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    Data Engineer - City of London, Greater London, United Kingdom - Amber labs

    Amber labs
    Amber labs City of London, Greater London, United Kingdom

    2 weeks ago

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    Description

    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.

    Ensure you read the information regarding this opportunity thoroughly before making an application.

    ROLE: Data Engineer

    LOCATION: Remote (UK)

    CLEARANCE: SC eligible

    Job Description: We are seeking a highly skilled Data Engineer to join our team. The ideal candidate will have significant experience in AWS stack and lead a team of other engineers. You will be responsible for designing, developing, and maintaining software solutions that meet the needs of our clients.

    Key Responsibilities:

    • Consultant needs to be able to programme in Java as the project uses Java to ingest the data into the platform. The Consultant would be helping to build out the Data Lake and Lakehouse on Databricks, working with AWS.

    Stack:

    • AWS: ECS, KMS, SNS, SQS, Lambda, Python, Databricks, MongoDB, Spring Boot
    • AWS, Java (to support ingestion), Databricks - experience in PowerBi would also be useful.
    • Engineer with past experience with Java, Data, and Infrastructure (DevOps). Java is a key skill
    • Programming: Java, Python, PySpark
    • Storage Mechanisms: MongoDB, Redshift, AWS S3
    • Cloud Environments/Infra: AWS (required), [AWS Lambda, Terraform] (nice to have)
    • Data Platforms: Creating data pipelines within Databricks or equivalent such as Jupyter Notebook, PowerBI (nice to have)
    • Understanding of Enterprise Models for Engineering: microservices, APIs, AWS services to support models (SQS, SNS, etc.)
    Preferred Qualifications:
    • Master's degree in Computer Science or a related field.
    • Experience working in an Agile/Scrum environment.
    • Certifications in relevant technologies.
    Benefits:
    • Join a rapidly expanding startup 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.
    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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