Senior Data Engineer

Verityv Ecosystems; Greater London; On-site; GBP 70,000 - 120,000; Full time

Job summary

A leading fintech start-up in London is seeking a Senior Data Engineer to build and maintain robust data pipelines for their SaaS platform. The role involves web crawling, data cleaning, and collaboration with cross-functional teams to support data-driven initiatives. Candidates should have a strong background in Python, data analysis, and financial datasets, along with a relevant degree. This position offers competitive pay and opportunities for professional growth.

Benefits

Competitive salary and benefits package

Opportunities for professional growth and development

Collaborative and innovative work environment

Qualifications

• 3-5 years of experience as a Data Engineer or similar role.
• Experience with financial data analysis is highly preferred.

Responsibilities

• Develop, deploy, and maintain web crawlers using Python.
• Analyze extracted data using advanced statistical and machine learning models.

Skills

Python

Data Cleaning

Data Analysis

Education

Bachelor's or Master's degree in Computer Science

Data Science

Tools

Scrapy

Pandas

SQL

AWS

Job description

This range is provided by Verityv Ecosystems. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Verityv Ecosystems

Verityv Analytics - Partner, Head of AI Econometrician

Company Overview: Verityv is an innovative fast-growing Fintech start-up based in London, revolutionizing the way Non-traditional financial risks are delivered to the market. We are dedicated to leveraging cutting-edge machine learning and artificial intelligence technologies to evolve our product into an agentic AI system that seamlessly integrates into clients' systems, automating compliance and portfolio risk analysis processes.

Job Summary: We are seeking a Senior Data Engineer with 3-5 years of experience in building and maintaining robust data pipelines for our SaaS platform, ensuring high-quality data is available for analysis and decision-making. You will work closely with cross-functional teams to support data-driven initiatives and contribute to the development of innovative solutions.

Responsibilities:

Web Crawling and Data Extraction:

• Develop, deploy, and maintain web crawlers using Python to extract data from websites and social media platforms.
• Ensure the scalability, reliability, and efficiency of web scraping processes.

Data Cleaning and Preprocessing:

• Perform data cleaning, standardization, and normalization to ensure data quality and consistency.
• Handle missing data, outliers, and inconsistencies in large datasets.

Data Analysis and Modeling:

• Analyze extracted data using advanced statistical and machine learning models.
• Collaborate with data scientists to implement state-of-the-art models for predictive and prescriptive analytics.
• Leverage past experience in financial data analysis to provide insights and support decision-making processes.
• Work with financial datasets to identify trends, patterns, and anomalies.
• Design and maintain ETL (Extract, Transform, Load) pipelines to streamline data workflows.
• Integrate data from multiple sources and ensure seamless data flow across systems.

Collaboration and Communication:

• Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders.
• Communicate findings and insights effectively through visualizations, reports, and presentations.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• 3-5 years of experience as a Data Engineer or in a similar role
• Proficiency in Python for web crawling (e.g., using libraries like Scrapy, BeautifulSoup, or Selenium).
• Strong knowledge of data cleaning, standardization, and normalization techniques
• Experience with data analysis and modeling using libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow.
• Familiarity with SQL and database management systems (e.g., PostgreSQL, MySQL).
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data tools (e.g., Spark, Hadoop) is a plus.
• Prior experience in financial data analysis is highly preferred.
• Understanding financial datasets, metrics, and industry trends.

Preferred Qualifications:

• Experience with API integrations and working with RESTful APIs.
• Knowledge of data visualization tools (e.g., Tableau, Power BI, or Matplotlib/Seaborn).
• Familiarity with version control systems (e.g., Git).
• Experience with containerization tools (e.g., Docker, Kubernetes).
• Past experiences working in Fintech, Financial Services or related industries.

What We Offer:

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• A collaborative and innovative work environment.
• The chance to work on cutting-edge projects with a talented team.

How to Apply: Please submit your resume, cover letter, and any relevant portfolio or GitHub links to [e-mail]. We are excited to hear from you!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Finance

• Industries

  Financial Services, Information Services, and Technology, Information and Media

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