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Urgent! Data Engineer Jobs | Penta Consulting

Data Engineer



Job description

We are looking for a talented Data Engineer with 5–7 years of hands-on experience in building and supporting modern data warehousing and BI solutions.

The ideal candidate will have strong proficiency in Azure data services, Power BI, and SQL, along with the ability to design scalable data platforms and support enterprise analytics needs.

This role requires both technical expertise and solid business understanding to ensure data solutions effectively support organisational objectives.


Please note this role is offered as a 12-month extendable contract.

You must also be available in a maximum of 30 days.

The role is to be worked fully remotely.


Key Responsibilities

Data Engineering & Warehousing

  • Design, implement, and support data warehousing solutions , including data modelling, ETL/ELT pipelines, and integrated data layers.

  • Develop, manage, and optimise data pipelines using Azure services such as Synapse Analytics, Synapse Pipelines, Azure Data Factory (ADF), and SSIS .

  • Build scalable and secure data platforms to support enterprise-wide BI and analytics initiatives.

Business Intelligence Development

  • Implement and maintain BI solutions , with a strong focus on Power BI.

  • Design, develop, and publish interactive dashboards, reports, and data visualisations using Power BI to support stakeholder insights.

  • Conduct user training sessions to promote adoption and effective use of BI tools across the organisation.

Data Analysis & SQL Development

  • Write, optimise, and maintain advanced SQL queries for data extraction, transformation, analysis, and quality assurance.

  • Collaborate with business teams to translate requirements into technical data solutions aligned with business goals.

Customer 360 & Data Integration

  • Support the development and maintenance of a centralised Customer 360° view , providing unified insight across multiple systems.

  • Integrate diverse datasets and ensure high levels of data quality, consistency, and accuracy.

Governance, Quality & Continuous Improvement

  • Apply strong understanding of business processes, design principles, and database structures to deliver robust and maintainable data solutions.

  • Proactively identify opportunities for new BI/DWH initiatives , recommending enhancements to improve data capabilities and business value.

  • Ensure data solutions are delivered on time, within scope, and within budget , following established standards and best practices.


Required Skills & Experience

  • 5–7 years of hands-on experience in data engineering and data warehousing.

  • Strong experience in Power BI , including dashboard/report design and performance optimisation.

  • Solid understanding of business processes, software engineering principles, and database architecture .

  • Demonstrated ability to align technical data solutions with broader business objectives .

  • Expertise with Azure data services , including:
  • Azure Synapse Analytics
  • Synapse Pipelines
  • Azure Data Factory (ADF)
  • SSIS
  • Advanced proficiency in SQL for querying, data transformation, and performance tuning.

  • Experience building and maintaining scalable data platforms .

  • Experience supporting Customer 360° data models .

  • Proven ability to deliver BI/data projects successfully across timeline, budget, and scope.


Required Skill Profession

Computer Occupations



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