As a Mid-Level Data Engineer – Cloud Data Pipelines, you will be working for our client, a leading organization in data-driven solutions. You’ll play a pivotal role in designing, building, and maintaining scalable and robust data pipelines, enabling the organization to harness the full potential of their data assets and accelerate digital transformation.
Unleash the power of data — drive innovation through seamless cloud pipelines!
Krakow-based opportunity with hybrid work model (up to 3 remote days per week).
Only candidates with an existing legal right to work in the European Union will be considered for this role.
responsibilities :
Develop and implement efficient data pipelines for collecting, transforming, and storing data across various platforms, ensuring reliable data flow.
Integrate data from a range of sources including cloud platforms, databases, APIs, and external services.
Troubleshoot and optimize existing pipelines for performance and scalability.
Implement ETL processes to convert raw data into valuable insights for analytics and reporting.
Collaborate with cross-functional teams to understand data needs and support application requirements, including weekend or non-office hours support.
Build scalable, automated workflows capable of handling large data volumes with high reliability and low latency.
Set up monitoring and alert systems to minimize downtime and maximize pipeline performance.
Document data flows, architecture, and processing logic to ensure maintainability and transparency.
requirements-expected :
4+ years of experience as a Dataflow Engineer, Data Engineer, or similar, working with large datasets and distributed systems.
Proficiency in programming languages such as Python and Java.
Hands-on experience with data pipeline orchestration tools, especially Google Dataflow.
Experience working with cloud data platforms like Google Cloud (BigQuery, Dataflow).
Strong expertise in ETL frameworks, real-time data streaming, and processing.
Familiarity with data formats like JSON and Parquet.
Knowledge of SQL and NoSQL databases, along with best practices in data governance, quality, and security.
Excellent troubleshooting skills for complex data issues.
Strong communication skills to effectively collaborate with both technical and non-technical stakeholders.
offered :
Stable and long-term cooperation with very good conditions
Enhance your skills and develop your expertise in the financial industry
Work on the most strategic projects available in the market
Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years
Participate in Social Events, training, and work in an international environment
Access to attractive Medical Package
Access to Multisport Program
Access to Pluralsight
Flexible hours
benefits :
sharing the costs of sports activities
private medical care
flexible working time
fruits
integration events
corporate gym
saving & investment scheme
no dress code
coffee / tea
drinks
christmas gifts
birthday celebration
sharing the costs of a streaming platform subscription
