Data Engineer job at Zenith People

Data Engineer

Greater London
Posted 3 weeks ago

Are you a forward-thinking Data Engineer with a passion for turning data into actionable insights? Do you thrive on designing and building robust data pipelines? If so, we have an exciting opportunity for you!


The role responsibilities:

  • Engineering Data Pipelines: Designing and building reliable data pipelines for data sourcing, processing, transformation, enrichment, and storage, utilizing our data platform infrastructure effectively.
  • ETL Expertise: Using ETL tools to ingest and transform data from various sources, ensuring data quality and consistency.
  • Technology Enthusiast: Staying updated on industry trends and exploring how emerging technologies can be leveraged to achieve our business objectives.
  • Insightful Dashboards: Leveraging the ingested data to develop insightful dashboards that provide valuable business insights.
  • Agile Collaboration: Actively participating in Agile planning activities, including story refinement, demos, and retrospectives, to drive continuous improvement.


The person we’re looking for:

  • PySpark and Python Skills: Strong competence in PySpark and Python to effectively engineer data pipelines and perform data analysis.
  • Azure Proficiency: Hands-on experience with the Azure Data ecosystem, including Azure Databricks, Data Factory, Data Lake, and Synapse, is essential.
  • SQL and Database Knowledge: A solid understanding of SQL and database design, coupled with expertise in data architectures such as databases and data lakes.
  • API Integration: Demonstrable experience working with APIs to access and manage data from various sources.


By applying for this opportunity, you agree that Zenith People Ltd may share your details with the end client at the shortlist stage. If you have the relevant skills and the drive to enhance your career, we would love to speak with you. Apply now or give us a call – 0191 428 6444.

Job Features

Job CategoryIT and Digital
Salary£630 Per Day

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