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Data Engineer - FinTech Company - Newcastle

Noir

Newcastle upon Tyne

On-site

GBP 45,000 - 70,000

Full time

24 days ago

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Job summary

A leading Software House in the FinTech sector is seeking a Data Engineer in Newcastle. This role involves building and optimizing data pipelines and collaborating with stakeholders to enhance data capabilities. Ideal candidates will have a strong background in SQL, Python, and data governance, along with a relevant degree. This position offers a competitive salary and opportunities for career growth in a dynamic environment.

Benefits

Competitive salary
Bonus
Pension
Benefits

Qualifications

  • Experience in a data-focused role with a strong passion for data.
  • Hands-on experience in production environments.
  • Strong problem-solving skills with a focus on scalable solutions.

Responsibilities

  • Build and maintain the data platform using multiple tools.
  • Automate data processes for efficiency.
  • Develop data pipelines to transform data from providers.

Skills

SQL
Python
Apache Spark
Data Quality
Data Governance
ETL

Education

2:1 or higher degree in Computer Science or related field

Tools

Databricks
Microsoft Azure

Job description

Data Engineer - FinTech Company - Newcastle

(Tech Stack: Data Engineer, Databricks, Python, Azure, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies)

I'm working with a leading Software House in the FinTech industry, based in Newcastle, who are looking to hire a talented Data Engineer.This is a fantastic opportunity to join a forward-thinking company where you'll play a key role in developing and optimising their data platform.

The Role:

As a Data Engineer, you'll be working closely with the front office to understand data needs and help shape the company's data capabilities.You'll be responsible for building and optimising data pipelines, automating data processes, and ensuring high data quality and governance.

Key Responsibilities:

  • Collaborate with the front office to scope and understand data requirements.
  • Build and maintain the data platform using in-house and third-party tools.
  • Automate data processes to improve efficiency and scalability.
  • Develop robust data pipelines to ingest and transform data from multiple providers.
  • Curate both external and internal datasets to meet business needs.
  • Design and implement best-practice data architecture and governance strategies.
  • Establish and maintain data quality standards and validation rules.

What They're Looking For:

  • Experience in a data-focused role, with a strong passion for working with data and delivering value to stakeholders.
  • Strong proficiency in SQL, Python, and Apache Spark, with hands-on experience using these technologies in a production environment.
  • Experience with Databricks and Microsoft Azure is highly desirable.
  • Financial Services experience is a plus but not essential.
  • Excellent communication skills, with the ability to explain complex data concepts in a clear and concise manner.
  • Ability to work autonomously and take ownership of tasks while maintaining high standards.
  • Strong problem-solving skills, with a focus on creating scalable, high-quality solutions.
  • Detail-oriented, with a keen eye for spotting data inconsistencies.
  • A genuine interest in understanding and solving business challenges through data.
  • A 2:1 or higher degree in Computer Science or a related field, ideally from a top-tier university.

Why Join?

This is a great opportunity to work with cutting-edge technology in a thriving FinTech environment.You'll be part of a talented and collaborative team, with plenty of opportunities for growth and career development.

If you're a Data Engineer looking for your next challenge, I'd love to hear from you!

Location: Newcastle, UK

Salary: Competitive + Bonus + Pension + Benefits

Applicants must be based in the UK and have the right to work in the UK even though remote work is available.

To apply for this position please send your CV to Matt Jones at Noir.

NOIRUKTECHREC

NOIRUKREC

NC/RG/DE

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