Jobs

    Data Engineer - Manchester, United Kingdom - Horwich Farrelly

    Horwich Farrelly
    Horwich Farrelly Manchester, United Kingdom

    2 weeks ago

    Default job background
    Permanent
    Description

    About the Role

    As a Data Engineer, you will play a crucial role in supporting and transitioning our existing Cognos Analytics BI reporting suite to Power BI along with assisting in our data migration project and utilising Data Bricks.

    When required leading incidents, working with the Incident management team to resolved incidents with minimal amount of user disruption. Acting as an escalation point for any issues. There may be a requirement to participate in an out of hours support Rota or to support technical resources outside of the normal working hours.

    The role requires that you will work closely with business stakeholders, data engineers, and other team members to create effective data models, visualizations, and reports. Ensuring there is team focus on delivery and providing world class customer support and engagement.

    Main Responsibilities

    • Understanding of data modelling, storing, and managing data, including visualisation using PowerBI.
    • Working with languages such as Python or SQL for data processing and manipulation, using SparkSQL/PySpark for Azure Databricks
    • Extracting, transforming, and loading data from different sources into data lakes, specifically using Azure Databricks and Data Factory.
    • Build interactive reports, dashboards etc using Power BI report developer.
    • Design and develop data models for Power BI reports and dashboards.
    • Define tables, columns, and relationships based on business requirements.
    • Implement custom calculations, measures, and calculated columns using DAX language.
    • Experience in creating and implementing Row Level Security (RLS).
    • Collaborating with data engineers to extract, transform, and load data from various sources into Power BI, ensuring data quality and consistency during the Extract, transform, and load (ETL) process
    Skills
    • Stay informed about Power BI updates, features, and best practices by actively participating in the Power BI community.
    • Share knowledge and collaborate with other developers.
    • Engage and collaborate with stakeholders at various levels, including executives, managers, and end-users.
    • Familiarity with Azure Data Factory and Data Bricks.
    • Knowledge of SQL, data warehousing, and cloud technologies.
    • Understanding of Medallion Architecture for Data Brick with proven experience as a Power Data Engineer or similar role.
    • Strong understanding of data modelling principles with proficiency in Power BI Desktop, DAX language, and ETL processes.
    • Strong communication and problem-solving skills with the ability to collaborate effectively with cross-functional teams and business stakeholders.
    • Knowledge of cloud platforms like Azure, AWS, or Google Cloud Platform (GCP), with Azure preferred.
    • Basic understanding of machine learning concepts and using machine learning models for predictive analytics

    About The Team:

    Not Specified

    Personal Specification

    Not Specified
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