Senior Data Engineer at QiH responsible for designing real-time data pipelines and building scalable infrastructure. Collaborating with teams to tackle data challenges with innovative solutions.
Responsibilities
Design, develop, and maintain scalable real-time data pipelines and infrastructure.
Integrate various data sources and ensure seamless real-time data flow across the organisation.
Build efficient, fault-tolerant, and highly available data ingestion processes.
Monitor and improve data pipeline performance and scalability for low-latency and high-throughput.
Work closely with cross-functional teams, including software engineers, data scientists, and business stakeholders, to ensure data infrastructure aligns with business objectives.
Requirements
Hands-on experience in data engineering with a proven track record of building and managing real-time data pipelines across a track record of multiple initiatives.
Expertise in developing data backbones using distributed streaming platforms (Kafka, Spark Streaming, Flink, etc.).
Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage.
Programming skills in Python, Java, Scala, or a similar language.
Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling.
Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes).
You thrive when working as part of a team
Comfortable in a fast-paced environment
Have excellent written and verbal English skills
Last but not least, you’ll have no ego!
Benefits
Competitive Basic Salary
Quarterly Bonuses
Hybrid working
Private Health Care
Market Leading Training Programme
Recognition & Reward Scheme
Annual Company Conference (previous destinations Bologna, Dubrovnik, Belgrade and Thessaloniki)
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