Data Engineer – Databricks & Azure Data Platform

VC Evidensia UK

United Kingdom

Remote

GBP 65,000 - 100,000

Full time

3 days ago
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Benefits offered by this job

Cycle to Work scheme
Green Cars salary sacrifice scheme
Voluntary benefits
Discounted staff pet care
Access to discounts/cashback with many

Job summary

IVC Evidensia UK is seeking a Data Engineer to advance our Databricks-based data platform and deliver scalable data pipelines across Azure SQL Server. You will work closely with SMEs and the Data Architect to shape our data management strategy and meet business needs.

Ideal candidates bring deep experience with Databricks, PySpark, Azure ecosystems, and ELT pipeline development, with an emphasis on data modelling and effective collaboration across IT and business teams.

Qualifications

  • Experience with building and optimising data pipelines using Databricks and PySpark.
  • Strong knowledge of Azure data services including storage, ETL/ELT, and DevOps practices.
  • Hands-on experience with data modelling for relational and non-relational platforms.
  • Familiarity with Power BI for business intelligence is advantageous.

Responsibilities

  • Design, build and maintain scalable data pipelines across Databricks and Azure SQL Server.
  • Collaborate with SMEs and the Data Architect to translate requirements into data solutions.
  • Owns the data pipeline lifecycle from source systems to the group data platform.
  • Ensure secure, scalable, and well-documented data processing processes.

Skills

Databricks
PySpark
Azure
Azure SQL Server
ELT & pipeline development
Data modelling
Power BI

Tools

Azure Data Factory
Azure Data Lake Storage
Azure DevOps

Job description

IVC Evidensia UK is seeking a Data Engineer to advance our Databricks-based data platform and deliver scalable data pipelines across Azure SQL Server. You will work closely with SMEs and the Data Architect to shape our data management strategy and meet business needs.

Ideal candidates bring deep experience with Databricks, PySpark, Azure ecosystems, and ELT pipeline development, with an emphasis on data modelling and effective collaboration across IT and business teams.

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