Data Engineer Contractor (Python Pandas)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer Contractor (Python Pandas) for a tier 1 multinational investment bank, hybrid for 2-3 days/week, with a focus on Python and FX domain experience. Contract length and pay rate unspecified; essential skills include data manipulation with Pandas and SDLC experience.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 30, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Datasets #Data Pipeline #Python #Debugging #Version Control #"ETL (Extract #Transform #Load)" #Unit Testing #Big Data #Compliance #GIT #Pandas #Deployment #Agile #Scala #Data Manipulation #Data Engineering #Data Cleaning #Requirements Gathering
Role 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 required 2-3 days per week in the office. Job Description Key Responsibilities β€’ Develop and maintain core data pipelines supporting FX BAU and small enhancement projects β€’ Collaborate with cross-functional teams to deliver high-impact data solutions β€’ Contribute to both strategic initiatives and day-to-day operations β€’ Work independently and as part of a team to manage multiple priorities and context-switch effectively β€’ Engage with Front Office stakeholders and datasets, particularly within FICC asset classes Qualifications Essential skills: β€’ Proficiency in Python: Solid experience writing clean, efficient, and scalable Python code. β€’ Data Manipulation with Pandas: Strong understanding of data frames, data cleaning, transformation, and analysis using the Pandas library. β€’ Software Development Life Cycle (SDLC): Demonstrated experience working across all phases of the SDLC, including requirements gathering, design, development, testing, deployment, and maintenance. β€’ Familiarity with version control systems (e.g., Git) and CI/CD pipelines. β€’ Experience with unit testing and debugging Python applications β€’ Experience in Capital Markets / Financial Services Core Attributes: β€’ Self-starter with excellent organisational skills β€’ Comfortable working independently and collaboratively β€’ Proven ability to manage multiple initiatives simultaneously β€’ Experience in fast-paced environments with shifting priorities β€’ Strong communication skills and stakeholder engagement Preferred Experience: β€’ Front Office experience, particularly in FICC asset classes β€’ Exposure to FX datasets and trading environments β€’ Familiarity with agile methodologies and project delivery Additional Information A little background on DI Simply put – 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. However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare. This proprietary offering is complemented by a wealth of experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web 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. Welcome to Data Intellect. #ChallengeAccepted