Hybrid Senior Data Engineer

Posted 3 weeks ago

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About the role

  • 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)
  • Regular Happy Hour / Team Lunches
  • Free Coffee, Drinks & Snacks

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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