Data Engineer

About the role

We are expanding our Data team for a client in the sports, entertainment and technology sector. As an experienced Data Engineer you will design, build and maintain robust data pipelines and multi‑tenant solutions that power high‑impact analytics across diverse industries.

Key responsibilities

• Design and develop ETL/ELT pipelines using dbt, Apache Airflow or Dagster.
• Ingest data from files, REST APIs, GraphQL and streaming sources such as Kafka, Event Hub or Kinesis.
• Implement dimensional models (Kimball/Inmon) and multi‑tenant data architectures.
• Work with Google Cloud Platform services (BigQuery, Dataflow) and manage cloud resources via Terraform.
• Ensure data quality, governance, master data management and metadata lineage.
• Collaborate with DevOps teams to deliver CI/CD pipelines using Git, Azure DevOps, Docker and Kubernetes.

Required profile

• 6+ years of professional experience as a Data Engineer.
• Relevant engineering degree or equivalent IT/computer engineering education.
• Fluent English with strong communication and teamwork skills.
• Reliable, ownership‑driven and willing to travel occasionally for client projects.

Required skills

• Python, SQL, Bash
• SQL Server, PostgreSQL, Oracle
• dbt, Apache Airflow, Dagster
• Google Cloud Platform (BigQuery, Dataflow)
• Kafka, Event Hub, Kinesis
• REST APIs, GraphQL, API Management, Logic Apps
• Git, Azure DevOps, Terraform
• Docker, Kubernetes
• Data Quality, Governance, Master Data Management
• Data lineage, Metadata management

What we offer

• Collaborative flat‑structure environment with a dedicated mentor.
• High‑trust culture giving autonomy and ownership.
• Career development plan, continuous learning and hands‑on projects.
• Hybrid work model with flexible hours.
• Competitive salary, regular performance reviews.
• Private health insurance, company‑provided mobile devices and subscriptions.
• Paid fitness programs supporting diverse lifestyles.