Data Engineer

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Job Description - Data Engineer

Job Title: Data Engineer

Location: Warsaw (Hybrid - 2 days from office, 3 days from home)

Client: Fintech Company

About the Client: Our client is a forward-thinking fintech company committed to revolutionizing the financial industry through cutting-edge technology and innovative solutions. They are currently looking for a talented Data Engineer to join their team in Warsaw. This hybrid role offers the perfect balance of office collaboration and remote flexibility.

Key Responsibilities:

  • Design, develop, and maintain robust data pipelines and ETL processes to collect, process, and store large volumes of data from various sources.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data needs and ensure the availability and quality of data.
  • Optimize and tune data pipelines for performance and scalability.
  • Implement data governance and security best practices to ensure data integrity and compliance with industry standards.
  • Monitor and troubleshoot data workflows to ensure reliable data delivery and performance.
  • Develop and maintain documentation for data processes, pipelines, and systems.
  • Contribute to the continuous improvement of data infrastructure and processes by staying up-to-date with the latest industry trends and technologies.

Requirements:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Proven experience as a Data Engineer or in a similar role.
  • Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server).
  • Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Luigi).
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Familiarity with big data technologies and frameworks (e.g., Hadoop, Spark).
  • Knowledge of cloud platforms and services (e.g., AWS, Azure, GCP) and experience with cloud-based data solutions.
  • Experience with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake) is a plus.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.

Benefits:

  • Competitive salary, employment contract,and performance-based bonuses.
  • Comprehensive health and wellness benefits.
  • Flexible hybrid work model (2 days in the office, 3 days from home).
  • Opportunities for professional growth and development.
  • Collaborative and inclusive work environment.
  • Access to cutting-edge technologies and tools.

How to Apply:

If you are passionate about data engineering and excited to work in a dynamic fintech environment, we would love to hear from you! Please submit your resume via our job posting.

Join our client and be a part of a team that is shaping the future of finance!

Equal Opportunity Employer:

Our client is an equal opportunity employer and welcomes applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or veteran status.

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