Senior Data Engineer

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.

Financial Data Expertise:

• 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.

Data Pipeline Development:

• 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 . We are excited to hear from you!