Senior Data Engineer

Eagle Eye Staffing Solutions; Kraków; Hybrid; PLN 180,000 - 260,000; Full time

Job summary

IG is hiring to consolidate its data ecosystem onto GCP. The role involves building secure, reliable data solutions powering analytics, compliance and future AI/ML products. Kraków is offered with a hybrid model (3 days in office per week).

You will work on batch and real-time pipelines, GCP ingestion, dbt modelling and data governance in a regulated financial environment. Mentoring junior engineers and supporting ML data pipelines are part of the scope.

Qualifications

• Strong production experience with GCP, Python and SQL.
• Experience with BigQuery, Cloud Composer/Airflow, GCS and Cloud Run.
• Kafka or equivalent streaming technology.
• dbt and Bronze/Silver/Gold modelling knowledge.

Responsibilities

• Build batch and real-time pipelines using BigQuery, Kafka and Airflow.
• Develop GCP ingestion capabilities with GCS and Cloud Run.
• Create dbt transformations within a Medallion architecture.
• Implement data contracts, quality checks, lineage, observability and SLO monitoring.
• Improve CI/CD, engineering standards and shared datasets.
• Mentor junior engineers and support ML data pipelines.

Skills

GCP expertise

Python

SQL

Data governance

Regulated environment

Mentoring

Tools

BigQuery

Cloud Composer/Airflow

GCS

Cloud Run

Kafka

dbt

Job description

Kraków | Hybrid: 3 days/week in the office

Permanent employment only

Join a global FTSE 100 fintech and help consolidate IG’s data ecosystem onto GCP. You’ll build secure, reliable data solutions powering analytics, compliance and future AI/ML products.

Your impact:

• Build batch and real-time pipelines using BigQuery, Kafka and Airflow
• Develop GCP ingestion capabilities with GCS and Cloud Run
• Create dbt transformations within a Medallion architecture
• Implement data contracts, quality checks, lineage, observability and SLO monitoring
• Improve CI/CD, engineering standards and shared datasets
• Mentor junior engineers and support ML data pipelines

You bring:

• Strong production experience with GCP, Python and SQL
• BigQuery, Cloud Composer/Airflow, GCS and Cloud Run
• Kafka or equivalent streaming technology
• dbt and Bronze/Silver/Gold modelling knowledge
• Experience with data governance, access controls and audit trails
• Confidence working in a regulated financial environment