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Job Details

Location

Other

Closing Date

2022-05-30 23:00:00

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Data Platform Engineer (hybrid or remote)

  • About Us

     

     

    At Allstate Northern Ireland, we believe it’s more than just a job.  We believe in allowing our people to choose the direction of their careers.  It’s about you, your future and where you want to get to.

     

    Opportunity is the hallmark of the Allstate career experience.  We invest heavily in our employees, offering long term career development, personal growth and investment in new technologies.  Every day is different, with new ideas, challenges, and rewards — no matter which team you join.

     

    We believe that inclusive diversity is crucial to creating a culture of mutual respect where the strengths and talents of each individual are recognised.  We like to leave things better than we found them and deliver results.  We do all of this while having fun and exploring personal passions.

     

    Join our team and you’ll find challenge and reward in a culture of innovation, support and balance.

     

     

    Location

     

    Belfast/ Derry - Londonderry/ Strabane/ Remote, GB

     

     

    Your role in the team

     

    Machine Learning Platform Engineering position plays critical part in execution of Allstate’s EDDP (Enterprise Data & Decisions Platform) strategy. Data and Intelligent Systems department maintains several analytics platforms to provide computational and storage services to Allstate’s Data Scientists. Machine Learning Platform Administrator will be mainly responsible for enabling a healthy model ops platform.

     

    This position requires individuals with demonstrable experience in developing scalable, distributed and highly available enterprise platforms. The candidate must have strong, first-hand technical expertise in a variety of analytics and software platforms.

     

     

     Responsibilities include (but are not limited to); 

     

     

    • Configure, build, integrates, operates the platform and application environments with a focus on operational excellence.
    • Participate in team’s engineering practices around the continuous delivery of the platform, improvement projects, implementations, and upgrades of the modelops platform
    • Perform software installations including routine updates/fixes, major product upgrades, patches, enhancements, customizations, and new version releases.
    • Monitor, track metrics, and lead re-occurring meetings to discuss performance of the platform, ML models, insights.
    • Evaluates performance trends and expected changes in demand and capacity; and establish the appropriate scalability plans.
    • Troubleshoot problems that are of a high degree of complexity and difficulty that require exceptional analytical skills, innovation, and creativity necessary to formulate and implement the mechanisms to identify and solve the problems.
    • Identifies and troubleshoots any availability and performance issues at multiple layers of the platform from integration issues, SLA issues, scalability issues, etc.
    • Assist in the creation of SLA with our customers and provide tier 2 support of platforms and processes.
    • Ensure the compliance of the platform with the enterprise security and governance requirements.

     

     

    So, what are the essential criteria to apply?

     

     

    • All candidates must evidence an existing right to work in the UK
    • 1-5 years of software or DevOps engineering experience with a focus on Kubernetes, Docker, Pivotal Cloud Foundry, CI/CD, etc.
    • Knowledge of REST API and web applications. Able to make changes to code of moderate to complex applications in one of the following languages/frameworks: Python, Java

     

     

     

    We also have some desirable criteria

     

     

    • Hands-on experience developing/managing products on public and private cloud environments such as AWS, Azure, and VMware
    • Experience troubleshooting problems in a highly complex enterprise environment
    • Knowledge of streaming technologies such as Kafka, Spark, Flink, etc.
    • Knowledge of machine learning practices
    • Familiar with various Python packages, e.g., flask, requests, pandas, numpy
    • Familiar with data engineering practices and technologies 

     

     

    What we offer

     

    As Digital DNA’s Workplace of the Year 2020 & 2022 winners, we offer a generous benefits package that includes flexible annual leave entitlement, dental and healthcare insurance, an attractive pension package and discounts on gym memberships, public transport and parking.

     

    Allstate invests heavily in your development, as an employee you will have access to multiple world-class learning platforms and courses from our award-winning in-house Learning & Development team.

     

    We pride ourselves in providing clear career paths and opportunities for internal mobility allowing you to further develop within the organisation.

     

    We encourage a better work life balance and you’ll have the opportunity to apply for various flexible working arrangements.

     

     

     

    Apply Here: https://bit.ly/36xX1Lt 

     

     

    Statement on Fair Employment and Equal Opportunities

     

    Allstate NI wishes to ensure equal opportunity is given to all job applicants.  This company will not discriminate on the grounds of race, gender (including gender reassignment status), sexual orientation, religious belief, political opinion, marital status, age or disability.

     

    We are an equal opportunities employer. We welcome applications from all suitably qualified persons. However, as women are currently under-represented in our workforce, we would particularly welcome applications from women. All appointments will be made on merit.

     

    Applicants should note Allstate NI complete AccessNI background checks on all candidates offered a position.

     

     

    The closing date for receipt of applications is Tuesday 31st May 2022

Apply Now

Applications processed via employer's online application form