Data Engineer

Nigel Frank International
Newcastle upon Tyne, UK
21 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Airflow Microsoft Azure Data Systems Python (Programming Language) Data Processing Git Data Management Data Delivery Data Pipelines Databricks

Job description

We’re seeking an experienced Data Engineer to join a high-performing Data Analytics team. You’ll play a key role in designing and maintaining data pipelines and ensuring the reliability and integrity of a central data platform that supports critical business and investment processes., * Design, build, and optimise data pipelines to ingest and process data from a variety of internal and external sources

  • Develop and enhance scalable data platforms, ensuring they meet evolving business and technical requirements
  • Monitor, maintain and improve data systems to ensure high levels of performance, reliability and data quality
  • Implement robust testing and validation processes to support accurate and consistent data delivery
  • Work closely with cross-functional teams to understand data needs and deliver solutions that support business objectives

Requirements

  • Strong experience designing and building scalable data pipelines
  • Proficiency in SQL, Python, Databricks or Azure
  • Experience with tools such as Git and Airflow
  • Proven ability to test, troubleshoot and improve data platforms
  • Experience delivering high-quality, reliable data solutions
  • Strong communication skills and ability to work in collaborative environments

Benefits & conditions

Why Apply?

  • Work on impactful, real-world data challenges
  • Collaborate with highly skilled technical professionals
  • Exposure to projects aligned with global markets and economic trends
  • Strong learning environment with opportunities to expand your technical skillset
  • High-autonomy culture

Apply for this position

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

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