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Data Engineer Contractor (Python Pandas)

Data Intellect

Camden Town

Hybrid

GBP 50,000 - 70,000

Full time

Today
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Job summary

A prominent data consultancy firm in Camden Town is seeking a skilled Data Engineer to develop and maintain data pipelines. The ideal candidate will have expertise in Python and experience in financial services. This hybrid role requires collaboration with cross-functional teams and offers opportunities for professional growth in a dynamic environment.

Qualifications

  • Solid experience writing clean, efficient, and scalable Python code.
  • Strong understanding of data cleaning, transformation, and analysis using Pandas.
  • Experience across all phases of the Software Development Life Cycle.

Responsibilities

  • Develop and maintain core data pipelines for FX operations.
  • Collaborate with cross-functional teams to deliver data solutions.
  • Engage with Front Office stakeholders and datasets.

Skills

Python programming
Data manipulation with Pandas
Software Development Life Cycle (SDLC)
Version control systems (e.g., Git)
Unit testing and debugging
Strong communication skills
Job description

Company Description: We are looking for a highly motivated Data Engineer to join our dynamic team working with a tier 1 multinational investment bank. This role is ideal for someone who thrives in fast-paced environments, enjoys working on both BAU and project-based initiatives, and has a strong background in Python, ideally within the FX domain. Please note, this role is hybrid and requires 2-3 days per week in the office.

Job Description
Key Responsibilities
  • Develop and maintain core data pipelines supporting FX BAU and small enhancement projects
  • Collaborate with cross-functional teams to deliver high-impact data solutions
  • Contribute to both strategic initiatives and day-to-day operations
  • Work independently and as part of a team to manage multiple priorities and context-switch effectively
  • Engage with Front Office stakeholders and datasets, particularly within FICC asset classes
Requirements
  • Proficiency in Python: Solid experience writing clean, efficient, and scalable Python code.
  • Data Manipulation with Pandas: Strong understanding of data frames, data cleaning, transformation, and analysis using the Pandas library.
  • Software Development Life Cycle (SDLC): Demonstrated experience working across all phases of the SDLC, including requirements gathering, design, development, testing, deployment, and maintenance.
  • Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
  • Experience with unit testing and debugging Python applications
  • Experience in Capital Markets / Financial Services
  • Self-starter with excellent organisational skills
  • Comfortable working independently and collaboratively
  • Proven ability to manage multiple initiatives simultaneously
  • Experience in fast-paced environments with shifting priorities
  • Strong communication skills and stakeholder engagement
Preferred Experience
  • Front Office experience, particularly in FICC asset classes
  • Exposure to FX datasets and trading environments
  • Familiarity with agile methodologies and project delivery

About Data Intellect: We turn big data problems into smart data solutions. At our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions.

Fair employment and equal opportunities: Data Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process.

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