Location: Warsaw, Poland (Hybrid role for an international client building a center in Warsaw)
Contract Type: Employment Contract

Company Overview:

• Industry: Finance - Investments
• Founded: 2001
• Employees: 1,000+
• Global Presence: Offices in the US, Canada, Hong Kong, the UK, and Poland

Our client, an established leader in the financial investment sector, is expanding its operations in Warsaw and looking for a Senior Data Engineer to join its growing team. This hybrid role requires 3 office days per week and offers an exciting opportunity to be part of an international company during its expansion.

Key Responsibilities:

• Data Pipeline Management: Design and maintain robust, scalable data pipelines to deliver high-quality, timely datasets to stakeholders.
• Tool Development: Develop products and tools to enhance the capabilities of the Data Science & AI team.
• AI & Automation: Leverage AI and machine learning to automate processes, improving scalability and efficiency.
• Stakeholder Collaboration: Work closely with investment staff and other stakeholders to anticipate and address data needs.
• Data Quality Assurance: Implement quality control checks to validate data integrity and availability.
• Incident Management: Maintain alerting systems, monitor operations, and investigate data incidents to minimize disruption.
• On-Call Support: Participate in on-call rotations to provide timely support for systems and products, embodying a commitment to operational ownership.

Minimum Qualifications:

• Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a relevant field.
• Experience: Experience in a data engineering role, with a strong foundation in managing large-scale data projects.
• Technical Skills:
  • Highly skilled in Python, comfortable with different programming styles (e.g., OO, functional).
  • Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL).
  • Experience with one or more big-data tools like Snowflake, Databricks, BigQuery, Kafka, Spark, etc.
  • Experience with workflow management tools such as Airflow.
  • Solid understanding of ETL processes and data API integration.
• Soft Skills: Strong communication skills and the ability to collaborate with cross-functional teams.
• English C1

Preferred Qualifications:

• Prior experience in a centralized data handling role.
• Familiarity with cloud services (AWS, Google Cloud Platform, Azure) and modern data storage solutions.
• Experience with orchestration and container technologies (e.g., Kubernetes, Docker).
• Proven track record of designing new system features within a data-centric infrastructure.
• Background in data management and analytics.
• Familiarity with market and financial data is a plus, but not required.

Benefits:

• Annual Bonus: Based on both company and individual performance. Typically equivalent to one month’s salary, with reviews in January and payment by the end of February.
• Sports Card: Full access to a multisport card covered by the company.
• Health Insurance: Comprehensive Luxmed premium health and dental coverage, including family members.
• Life Insurance: Life coverage through Uniqa, equal to 24 months of salary.
• Pension Plan (PPK): 4% company contribution.
• Lunch Allowance: Approx. 60 PLN per day.
• Parking: Limited nearby parking spots are available with booking.
• Salary Review: Annual salary reviews, with the potential for a second review within the year.
• Contract Terms: Unlimited contract with a 3-month probation period.

Additional Notes:

• Office Days: Flexibility to choose specific office days, with a requirement of three per week.
• Contract Limitations: Currently, the company does not support B2B contracts or copyright cost coverage.

Work Arrangement:
This role is a hybrid position based in Warsaw, with 3 office days per week, offering flexibility for remote work.