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Stratford-upon-Avon

    Data Engineer - Stratford-upon-Avon, United Kingdom - Impellam Group

    Impellam Group
    Impellam Group Stratford-upon-Avon, United Kingdom

    1 week ago

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    Description

    Job Description

    Data Engineer – Hybrid (3 days in Office)

    Stratford-Upon-Avon

    £56k + 5% bonus & benefits

    Do you want to grow your expertise and experience and use your skills in a vibrant environment where teamwork, creativity, diversity, inclusivity, and technical excellence are expected and enjoyed?

    This SaaS company are seeking someone who is eager to take their software engineering career to the next level.

    This is an exciting role that offers a competitive remuneration package with excellent career and growth prospects. An opportunity to join and help grow an organisation that is using modern technology to positively impact people and businesses all over the globe. You will work collaboratively with other software engineers, from associates to principals, applying your technical and problem-solving capabilities to scale their applications.

    You'll contribute to the organisation's high-quality data engineering practices, participating in technical design, implementation, testing, deployment, and ongoing support and maintenance of the data platform. By going above and beyond implementing new features, the company focus on customer experience, building a high-quality, secure, and scalable data platform. You'll apply your skills effectively and continue to develop them, while benefiting from the expertise of your more experienced colleagues, including:

    • Pair and mob-programming.
    • Peer code reviews.
    • Modern big data architecture.
    • Continuous integration and automated production deployments.
    • Application health and availability monitoring.
    • Data platform design patterns driving robustness, scalability, and performance.

    Day-to-day responsibilities:

    Working as part of an enthusiastic, fast-paced, and motivated agile data platform team that takes pride in delivering a high-quality platform.

    Continually developing and improving the data pipelines and technologies.

    Developing the Data Platform SDK.

    Helping to shape and design new data products and features within a Data Mesh architecture.

    Pairing with senior engineers to improve knowledge.

    Skillset & Experience:

    This is a technical role focused on the development of the organisation's SaaS products suited to a proactive, committed engineer. Development is a small part of their engineers' responsibilities and you'll be expected to contribute to all areas of the Engineering work including contributing to product and feature design and participating in continuous improvement efforts.

    · Data Modelling and Querying - Proficiency in designing and implementing data models, including star schemas and snowflake schemas. Expertise in SQL.

    · Data Storage Technologies - Experience in SQL, NoSQL, Blob, Delta Lake, and/or other enterprise scale data stores.

    · Data Processing Frameworks - Proficiency in designing and building data pipelines for data processing and transformation. Familiarity with scheduling tasks and jobs for data processing using basic tools or platforms. Proficiency in automating simple data workflows and ETL processes.

    · Data Streaming and Messaging Systems - Proficiency in basic messaging concepts like producers, consumers, and message queues.

    · Data Quality and Governance - Knowledge of basic data governance principles and compliance requirements. Competence in implementing data quality frameworks and automated checks.

    · Data Integration and ETL - Demonstrable Ability to author data transformations using ETL tools such as DBT.

    · Cloud Platforms – The company are Azure hosted and experience of this is a strong preference. However other Cloud platforms like AWS/GCP are acceptable.

    · Coding Languages - Experience using Python with data (Pandas, PySpark) would be an advantage. Other languages such as C# would be beneficial but not essential.

    · Machine Learning and Data Science Tools - Any experience in MLOps and productionising data science initiatives would be beneficial.

    Data Analysis and Storytelling - Proficiency in interpreting data analysis results and drawing meaningful conclusions

    Please don't miss out on this great opportunity - Apply today with your most up to date CV. If this role isn't quite what you are after but know someone who may be relevant, we offer a referral scheme for any successful recommendations.

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