Data engineer
Indexed description
We thrive on complexity, simplifying challenges for major players across fintech, telecommunications, healthcare, logistics, etc.
Joining us means stepping into a culture where your voice matters, and your personal growth is matched by the diverse, high-impact projects you'll work on.
At the moment we’re expanding our Data team, so we’re looking for an experienced Data Engineer, for our client in the sports, entertainment and technology industry.
Requirements
- 6+ years of professional experience as a Data engineer
- Relevant engineering degree or education in IT or Computer Engineering
- Dimensional Modeling (Kimball/Inmon)
- Building multi-tenant solutions
- Python, SQL, Bash
- SQL Server, PostgreSQL, Oracle
- ETL/ELT development and pipeline design
- dbt
- Apache Airflow / Dagster
- Ingestion of files, REST APIs, GraphQL, and other data sources
- Google Cloud Platform (BigQuery, Dataflow)
- Kafka
- Event Hub
- Kinesis
- REST
- GraphQL
- API Management
- Logic Apps
- Git
- Azure DevOps
- Terraform
- Docker
- Kubernetes
- Master Data Management (MDM)
- Data lineage
- Metadata management
- Fluent in English.
- Highly Professional and committed to delivering solutions that meet client business needs.
- Reliable and takes full ownership of tasks, big or small.
- A great communicator and team player.
- Flexible and open to occasional travel as required by client projects.
- A collaborative, flat-structure environment where support is built in — your Consultant Manager acts as a dedicated mentor and "co-pilot," ensuring your professional development and well-being are always on track.
- A high-trust culture that gives you autonomy, ownership, and the freedom to share and implement our ideas.
- Career development plan and continuous learning opportunities through hands-on projects, mentorship, and access to top learning resources.
- A vibrant culture where people genuinely enjoy working together, supported by strong team spirit, knowledge sharing, and fun social events.
- A hybrid work model and flexible working hours.
- Competitive salaries and regular performance reviews.
- Private health insurance.
- Company-sponsored mobile devices and paid subscriptions.
- Paid Fitness programs for diverse lifestyles.
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