Data Platform Engineer: Build Reliable Pipelines & Insights

Harvey Nash Group

Newcastle upon Tyne

On-site

GBP 45,000 - 65,000

Full time

8 days ago

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Job summary

Harvey Nash Group is seeking a Data Engineer to join its Data Analytics team in Newcastle upon Tyne. The role focuses on designing, building, and maintaining data pipelines from external vendors and market data into a central platform to support critical investment activities.

You will work with SQL, Python, AWS and Airflow, testing and improving data platforms with a focus on reliability and data quality. This role offers a collaborative, fast-paced environment with opportunities to grow and

Qualifications

  • Experience designing, developing, and maintaining data pipelines.
  • Strong SQL, Python, AWS proficiency.
  • Experience with Git and Airflow.
  • Ability to test, troubleshoot, and improve data platforms.
  • Strong interpersonal and communication skills.
  • Self-motivated and detail-oriented.
  • Bachelor's degree or equivalent qualification.

Responsibilities

  • Design, build, and maintain data pipelines from external sources into a central platform.
  • Enhance and evolve the data platform to meet changing business needs.
  • Perform testing, monitoring, and troubleshooting to ensure performance and reliability.
  • Ensure data is accurate, accessible, and of high quality for decision-making.
  • Collaborate with internal stakeholders to improve data availability and platform effectiveness.
  • Support continuous improvement with modern data engineering tools and practices.

Skills

Data pipeline design
SQL
Python
AWS
Data quality
Collaboration

Education

Bachelor's degree in a relevant discipline

Tools

Git
Airflow

Job description

Harvey Nash Group is seeking a Data Engineer to join its Data Analytics team in Newcastle upon Tyne. The role focuses on designing, building, and maintaining data pipelines from external vendors and market data into a central platform to support critical investment activities.

You will work with SQL, Python, AWS and Airflow, testing and improving data platforms with a focus on reliability and data quality. This role offers a collaborative, fast-paced environment with opportunities to grow and

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