Job description

Data Engineer

Join us, and create cutting-edge pipelines for seamless data transformation!

Kraków - based opportunity with hybrid work model (2 days/week in the office).

As a Data Engineer, you will be working for our client, a global financial institution that is driving DevOps transformation through data analytics and engineering. You will be part of a team that provides key metrics and analytical products to enhance software engineering practices across the organization. Your role will focus on developing data transformation pipelines, ensuring data quality, and supporting a cloud data platform to improve the overall DevOps experience. You will collaborate with diverse global teams to deliver enriched datasets, dashboards, and insights that enable strategic decision-making.

Your main responsibilities:

• Designing, developing, testing, and deploying data ingest, quality, refinement, and presentation pipelines
• Operating and iterating on a cloud data platform to support internal goals
• Building and maintaining ETL processes and data transformation pipelines
• Ensuring data quality and implementing automated data validation solutions
• Developing data marts and optimizing schema designs for performance and usability
• Collaborating with business stakeholders to understand data needs and deliver actionable insights
• Working with cloud-based big data technologies, particularly Google Cloud Platform (GCP) and BigQuery
• Utilizing orchestration and scheduling tools such as Airflow and Cloud Composer
• Supporting continuous integration and continuous delivery (CI/CD) processes
• Following Agile methodologies and working within a product-oriented culture

You're ideal for this role if you have:

• At least 7 years of professional experience in SQL development
• Strong experience in data engineering and ETL processes
• Expertise in GCP, BigQuery, and data build tools (DBT)
• Hands-on experience with Apache Airflow and Cloud Composer
• Proficiency in data modeling and designing optimized data schemas
• Experience with data streaming technologies such as Kafka
• Familiarity with BI tools, especially Looker Studio
• Understanding of DevOps principles and working in a DevOps environment
• Experience with Continuous Integration and Continuous Delivery (CI/CD) practices
• Strong communication skills and ability to work with global teams

It is a strong plus if you have:

• Experience in building and operating a cloud data platform
• Knowledge of data architecture and data marts
• Proficiency in Git, Shell scripting, and Python
• Ability to quickly learn and adapt to new technologies
• Experience collaborating with technical staff and project managers for efficient delivery
• Proactive approach to identifying improvement opportunities and solving issues
• Comfort in working in fast-paced, changing, and ambiguous environments