Chief Data Engineering Architect

4 days ago


Budapest, Budapest, Czech Republic SEON Technologies Full time

Company Overview

SEON Technologies is a world-class research and development organization passionate about creating great data experiences for our software engineers. We are obsessed with delivering amazing solutions to our customers, many of the world's leading providers of digital experiences in financial services, insurance, entertainment, etc.

Our mission is to make the internet a safe place for businesses and customers to transact. We take pride in our rapid growth and our goal remains unwavering: to democratize fraud-fighting while empowering the best online businesses.

About Us

We are a hybrid working environment that offers a range of benefits including employee stock ownership plan (ESOP), flexible hours, generous holiday allowance, access to significant opportunities for learning and development, private health insurance, and more.

Job Description

We are seeking a technically skilled and hands-on engineer who is passionate about data engineering to join our team. As a Senior Data Engineer @ SEON Technologies, you will be responsible for building, maintaining, and optimizing scalable ETL/ELT pipelines to process structured and unstructured data.

Key Responsibilities

  1. Automate workflows to ingest, transform, and store data in real-time or batch processing frameworks.
  2. Architect and maintain cloud-based data platforms, such as Snowflake, BigQuery, or Redshift.
  3. Manage and optimize relational and NoSQL databases for analytics and operational needs.
  4. Partner with data scientists, analysts, and software engineers to deliver end-to-end data solutions.
  5. Translate business requirements into data models, workflows, and engineering tasks.
  6. Implement systems for data validation, lineage tracking, and quality monitoring.
  7. Evaluate and implement emerging technologies to improve efficiency and performance.
  8. Contribute to the establishment of best practices and reusable frameworks.

Requirements

  • Degree in Computer Science, Data Engineering, or a related field.
  • 5+ years of experience in data engineering, software development, or related roles.
  • Proficient in SQL and at least one programming language (e.g., Python, Scala, Java).
  • Hands-on experience with big data tools like Spark, Hadoop, or Kafka.
  • Expertise with cloud platforms (AWS, Azure, GCP) and services such as S3, Lambda, and Dataflow.
  • Strong understanding of data modeling, warehousing, and architecture principles.
  • Ability to work with large datasets and solve complex data challenges.
  • Strong problem-solving and critical-thinking abilities.
  • Excellent collaboration and communication skills for working across teams.
  • Fluent English knowledge.

Nice to Have

  • Familiarity with BI tools like Tableau, Looker, or Power BI.
  • Experience with real-time data processing systems and event-driven architectures.
  • Familiarity with machine learning pipelines and model deployment.
  • Knowledge of DevOps and CI/CD practices for data engineering.


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