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Senior Data Engineer: Cloud Pipelines & Analytics (Hybrid)

DCS Scaffolding

Sheffield

Hybrid

GBP 50,000 - 60,000

Full time

Today
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Job summary

A leading technology firm in Sheffield is seeking an experienced Data Engineer to design, build, and optimise their data infrastructure. The role involves developing scalable data pipelines and collaborating with data teams to ensure data accuracy. The ideal candidate should have strong skills in SQL and Python, along with experience in cloud platforms like AWS and Azure. Offering a salary between £50,000 and £60,000, this position supports hybrid work opportunities and professional development within a growing team.

Benefits

Up to £60,000 per annum + benefits
Hybrid working (3 in office)
Opportunity to lead and mentor
Professional development and training support

Qualifications

  • Proven hands-on experience as a Data Engineer or in a similar data-centric role.
  • Strong proficiency in SQL and Python.
  • Solid understanding of ETL/ELT pipelines, data modelling, and data warehousing principles.
  • Experience working with cloud platforms such as AWS, Azure, or GCP.
  • Exposure to modern data tools such as Snowflake, Databricks, or BigQuery.

Responsibilities

  • Design, develop, and deploy scalable, secure, and reliable data pipelines.
  • Consolidate data from internal systems, APIs, and third-party sources.
  • Build and maintain robust data models for accuracy and consistency.
  • Work closely with Data Analysts and Data Scientists.
  • Optimise data systems for fast and accurate insights.

Skills

SQL
Python
Data Engineering
Cloud Platforms (AWS, Azure, GCP)
Data Warehousing
ETL/ELT Pipelines
Data Modelling
Kafka
Airflow
Terraform

Tools

Snowflake
Databricks
BigQuery
CI/CD Pipelines
Job description
A leading technology firm in Sheffield is seeking an experienced Data Engineer to design, build, and optimise their data infrastructure. The role involves developing scalable data pipelines and collaborating with data teams to ensure data accuracy. The ideal candidate should have strong skills in SQL and Python, along with experience in cloud platforms like AWS and Azure. Offering a salary between £50,000 and £60,000, this position supports hybrid work opportunities and professional development within a growing team.
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