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Lead Data Engineer

ZipRecruiter

England

Hybrid

GBP 50,000 - 65,000

27 days ago

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Job summary

An established industry player is seeking a Lead Data Engineer to drive their transformation into a data-centric organization. In this pivotal role, you will design and implement innovative data pipelines and architectures while collaborating closely with data scientists and analysts to meet their requirements. The company offers a hybrid work environment, allowing flexibility with up to three days of remote work each week. If you are passionate about data engineering and want to make a significant impact in a dynamic setting, this opportunity is perfect for you.

Qualifications

  • Proven experience as a Data Engineer with a strong educational background.
  • Expertise in Azure and Databricks for effective data management.

Responsibilities

  • Design and implement data pipelines and architectures to support analytics.
  • Collaborate with teams to ensure data quality and integrity.

Skills

Problem-solving skills

Data analysis

Collaboration

Education

Bachelor's degree in Computer Science

Bachelor's degree in Engineering

Bachelor's degree in related field

Tools

Azure

Databricks

Job description

Job Description

Join a leading independent company renowned for exceptional service and customer care. As the Lead Data Engineer, you will spearhead our efforts to transform into a data-driven organisation, utilising state-of-the-art technologies like Azure and Databricks.

Lead Data Engineer
  • Location: Sunderland, UK (Hybrid - up to 3 days work from home)
  • Job Type: Full-time, permanent
  • Salary: up to £65,000 per annum

Responsibilities:

  1. Design and implement data pipelines and architectures.
  2. Collaborate with data scientists and analysts to understand data requirements.
  3. Ensure data quality and integrity.
  4. Stay updated with the latest trends in data engineering.

Qualifications:

  1. Bachelor's degree in Computer Science, Engineering, or related field.
  2. Proven experience as a Data Engineer.
  3. Strong knowledge of Azure and Databricks.
  4. Excellent problem-solving skills.
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