Senior Data Engineer
Warsaw, Mazowieckie, Poland
capital.com
Trade CFDs & spread bet with our award-winning online trading platform. Discover investment opportunities on leading markets & access trading tools & indicators.
We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
As a Data Engineer, you will be responsible for designing, implementing, and optimizing batch and streaming data pipelines that ensure efficient and reliable data flow throughout the company. You will support our existing data infrastructure while also extending the toolset with new technologies. You’ll collaborate closely with different teams to propose improvements and innovations that enhance data accessibility and performance.
As a Data Engineer, you will be responsible for designing, implementing, and optimizing batch and streaming data pipelines that ensure efficient and reliable data flow throughout the company. You will support our existing data infrastructure while also extending the toolset with new technologies. You’ll collaborate closely with different teams to propose improvements and innovations that enhance data accessibility and performance.
Responsibilities:
- Data Pipeline Development: Build, implement, and maintain batch and streaming data pipelines that support the company’s data requirements
- Toolset Extension: Continuously expand the data engineering toolkit by integrating new technologies and methodologies that improve performance and scalability
- Stack Support: Provide support and maintenance for the current data infrastructure, ensuring that all systems remain operational and efficient
- Continuous Improvement: Propose and implement new technologies and improvements to optimize the data engineering process
- Collaboration: Work with cross-functional teams to gather requirements and translate them into technical specifications for the data pipeline
Requirements:
- 3+ years of experience in data engineering, focusing on building and maintaining data pipelines
- Strong expertise in Python and working with data orchestration tools like Airflow
- Experience with SQL databases such as PostgreSQL and Redshift
- Familiarity with AWS cloud services and container orchestration tools like Docker and Kubernetes
- Experience with Spark is a plus
- Ability to collaborate with various teams and propose innovative solutions
- Business level proficiency in English or above (equivalent to B2 or above in CEFR)
Ideal soft skills:
- Communication: Effective communication skills, especially with teams responsible for security, operations and product
- Analytical thinking: Ability to tackle and investigate complicated problems and convert it to the task
- Adaptability to Rapid Changes: Demonstrated capability to adjust to quick technological shifts and evolving business requirements
- Ownership and Accountability: Readiness to take ownership of tasks, issues as well as demonstrate accountability of the results and outcome
What you will get in return:
- Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
- Work-Life Harmony: Join a company that genuinely cares about you—because your life outside of work matters just as much as your time on the clock.
- Annual Performance Bonus: Your hard work doesn’t go unnoticed! Celebrate your achievements with a well-deserved annual bonus tied to your performance.
- Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
- Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
- Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
- Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
- Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: Airflow AWS Data pipelines Docker Engineering Kubernetes Pipelines PostgreSQL Python Redshift Security Spark SQL Streaming
Perks/benefits: Career development Competitive pay Flex vacation Health care Medical leave Salary bonus
Region:
Europe
Country:
Poland
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