Senior Data Engineer...

Job Description 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!