Data Engineer

Data Engineer

Serbia / North Macedonia (Remote)

We are looking for a dynamic Data Engineer to join our team of technology enthusiasts. You will leverage data to drive strategic decision-making and pioneering solutions, working with complex datasets, collaborating closely with stakeholders, and transforming data into actionable insights to drive innovation.

Qualifications and Skills:

  • Minimum 4 years of experience as a Data Engineer
  • Hands-on experience with Azure cloud-based data solutions
  • Fabric experience is a must – designing, implementing, and managing data workflows and pipelines
  • Expertise in database design and management, including SQL databases such as SQL Server
  • Proficient in ETL (Extract, Transform, Load) design for data integration and processing
  • Strong knowledge of data modeling principles and techniques
  • Experience with Azure Data Factory (ADF) for orchestrating data workflows
  • Ability to analyze and translate data into actionable insights, reports, and visualizations
  • Proficiency in Power BI for reporting and data visualization
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Qualifications and Skills:

    • Experience with Power BI Report Builder / Reporting Services
    • Knowledge of statistical analysis or Data Science
    • Experience within the UK Insurance industry is a plus
    • Python or R coding skills

Responsibilities:

  • Implement efficient data exchange between internal and external systems to increase efficiency and reduce re-keying and translation errors
  • Support the Broking business by developing high-quality information resources, ensuring data availability and accessibility for decision-making
  • Engineer data inputs and outputs from core applications and semi-structured remote service data through data syncs between data lake, ODS (SQL database), and leveraging Fabric and ADF
  • Perform data engineering tasks including ingestion, cleansing, and collation from a wide range of internal and external sources
  • Implement different methods of streaming data and create reconciliations for datasets
  • Build analytical models to support reporting and analytics
  • Collaborate with an agile delivery team to work on the backlog of specified work
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