U

Data Engineer

icon building Company : Uni Systems
icon briefcase Job Type : Full Time

Number of Applicants

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Job Description - Data Engineer

At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a Data Engineer to join our UniQue team.

What will you be doing in this role?

  • Development and maintenance of a fully open-source Data Lakehouse.
  • Design and development of data pipelines for scalable and reliable data workflows to transform extensive quantities of both structured and unstructured data.
  • Data integration from various sources, including databases, APIs, data streaming services and cloud data platforms.
  • Optimisation of queries and workflows for increased performance and enhanced efficiency.
  • Writing modular, testable and production-grade code.
  • Ensuring data quality through monitoring, validation and data quality checks, maintaining accuracy and consistency across the data platform.
  • Elaboration of test programs.
  • Document processes comprehensively to ensure seamless data pipeline management and troubleshooting.
  • Assistance with deployment and configuration of the system.

What do you need to succeed in this position?

  • Master's degree in IT and minimum 9 years of relevant professional experience (or Bachelor's degree in IT and minimum 13 years of experience).
  • Extensive hands-on experience as Data Engineer or Data Architect in modern cloud-based open-source data platform solutions and on data analytics tools.
  • Excellent knowledge of data warehouse and/or data lakehouse design & architecture.
  • Experience with open-source, code-based data transformation tools such as dbt, Spark and Trino.
  • Previous experience with open-source orchestration tools such as Airflow, Dagster or Luigi.
  • Experience with SQL and Python.
  • Experience with AI-powered assistants like Amazon Q that can streamline data engineering processes.
  • Good knowledge of relational database systems.
  • Good knowledge of event streaming platforms and message brokers like Kafka and RabbitMQ.
  • Extensive experience in creating end-to-end data pipelines and the ELT framework.
  • Understanding of the principles behind storage protocols like Apache Iceberg or Delta Lake.
  • Proficiency with Kubernetes and Docker/Podman.
  • Good knowledge of data modelling tools.
  • Good knowledge of online analytical data processing (OLAP) and data mining tools.
  • Advanced English (C1) communication skills (written and spoken).

At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics. Take a look at our Diversity, Equality & Inclusion Policy for more information.

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