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    • Monocle Data Engineer - Sandton - Monocle Solutions

    Monocle Solutions
    Monocle Solutions Sandton

    1 month ago

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    Description

    Expand your horizons


    Imagine being a data and programming guru and understanding the intricacies of banking and insurance. At Monocle, we believe work is more than a job. It is a chance to make a difference in the world of finance. An opportunity to fulfil your potential. To make friendships with ambitious, positive, like-minded people. To gain invaluable industry experience and learn critical skills that will make you a highly sought-after management consultant.

    Monocle is a people-centric, independent consulting firm, specialising in banking and insurance. We understand that our greatest asset is our people and because of this, we do things a bit differently.

    Monocle's Employee Value Proposition:


    Monocle embraces an ongoing and active approach to amplifying the talents of our people, empowering them to unlock their full potential and feel fulfilled in their careers. Our vibrant culture thrives through our shared growth mindset, collaboration, support, and social connection, fostering a space where everyone can flourish.

    Monocle offers:

    • Unparalleled growth and exposure: Monocle is uniquely positioned in the market to undertake projects across a wide spectrum of critical and exciting areas of the financial services industry.
    • Unlimited training and development: Investment in our people's development is at the heart of Monocle's company ethos.
    • Unique and vibrant company culture: At Monocle, we believe friends work better together than colleagues.
    • Ultra-competitive compensation: At Monocle, we want the best talent to join our team.

    Monocle is looking for an experienced professional to join our team as a Data Engineer at a consultant or manager level.


    You will be responsible for the following duties:

    • Design and implement scalable data pipelines using Cloud services such as Glue, Redshift, S3, Lambda, EMR, Athena, Microsoft Fabric & Databricks.
    • Develop and maintain ETL processes to transform and integrate data from various sources.
    • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
    • Optimise and tune performance of data pipelines and queries.
    • Ensure data quality and integrity through robust testing and validation processes.
    • Implement data security and compliance best practices.
    • Monitor and troubleshoot data pipeline issues and ensure timely resolution.
    • Stay updated with the latest developments in Data Engineering technologies and best practices.

    The successful candidate must have comprehensive experience in the above, and must also meet the following requirements:

    • Holds a Bachelor's degree from an accredited university.
    • Industry experience: A minimum of two years of hands-on experience is required.
    • Strong foundation in data engineering: Proven skills in building and managing data solutions using on-premises technologies or Cloud.
    • Experience with core Cloud Data Services: Familiarity with Glue, Redshift, S3, Lambda, EMR, Athena, Microsoft Fabric or Databricks.
    • Experience with Big Data technologies: Knowledge of technologies such as Apache Spark, Hadoop, or Kafka.
    • Scripting & Programming proficiency: Skills in Python, Pandas & SQL.
    • Database Management: Experience with relational databases like AWS RDS, MS SQL, Azure SQL DB or Postgres.
    • Solid Data Engineering background: Knowledge and experience of data modelling, ETL processes, and data warehousing.
    • Infrastructure as code (IaC) proficiency: Experience with tools like AWS CloudFormation, Terraform or Azure ARM/Bicep.
    • DevOps fluency: Experience in CI/CD tools to streamline software development and delivery.
    • Communication and collaboration: Excellent communication, problem-solving, and analytical skills.
    • Cloud Certification (a plus): Possessing a relevant Cloud certification demonstrates your commitment to professional development.

    The following would also be advantageous:

    • Relevant consulting experience to banks and insurers.
    • A strong desire to learn and upskill business knowledge.

    The ideal Monocle Data Engineer also:

    • Has an enquiring mind and is eager to learn and improve their professional skillset.
    • Is able to work in a dynamic environment.
    • Is enthusiastic in their approach to their work.
    • Regards themselves as a high performer.
    • Is an excellent communicator with exceptional verbal and written communication skills.
    • Works well under pressure to meet client objectives.
    • Is sociable and enjoys interacting with others.
    • Works well independently and in a team.
    • Shares Monocle's values.

    Recruitment Process:


    During the interview process, you will meet with different Monocle representatives including both People and Culture representatives and Monocle Executives. A critical aspect of the interview process will be determining whether Monocle will be a good fit for you and your career aspirations.

    If you have a passion for finance and problem-solving, a relevant qualification, and think you have what it takes to join a team of your smartest and most driven peers, apply to Monocle today.


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