Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇷🇴 Romania – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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adorsys

WebsiteLinkedInAll Job Openings

51 - 200 employees

💳 Fintech

🔌 API

🔒 Cybersecurity

Fintech • API • Cybersecurity

adorsys is building and securing financial ecosystems. With over 15 years of experience in digital finance, the company specializes in open banking structures and helps customers achieve compliance in highly regulated environments. They offer customized and integrated API services, trusted by more than 100 leading banks. adorsys provides full lifecycle support for businesses undergoing digital transformation projects, offering state-of-the-art software solutions, cloud infrastructure planning, IT security measures, and a range of services including API management, identity & access management, open banking, smart analytics, and blockchain.

📋 Description

• Design, build, and maintain scalable ETL/ELT pipelines using Apache NiFi • Implement and manage Apache Iceberg data lakehouse structures, including schema evolution, partitioning, and time travel • Develop and optimize SQL queries and data access layers with Trino • Integrate data sources including Kafka, S3, RDBMS, and REST APIs into unified pipelines • Ensure data quality, security, and governance across the data infrastructure • Perform performance tuning, monitoring, and troubleshooting of data pipelines and distributed systems • Collaborate with data scientists, platform engineers, and business stakeholders • Document technical designs, concepts, and processes • Contribute to the platform migration to Kubernetes, Apache Iceberg, and other modern infrastructure technologies by 2026 • Develop and maintain data infrastructure for AI-powered automation services in the accounting and finance sector

🎯 Requirements

• Proven experience with Apache Iceberg, Apache NiFi, and Trino • Understanding and ability to work with Apache Spark code • Experience with ETL/ELT processes and integrating APIs • Hands-on expertise in real-time streaming with Apache Kafka • Strong background in large-scale data processing and distributed systems • Experience with cloud platforms such as AWS, Azure, or GCP, especially S3, IAM, and Glue • Proficiency in Python, Java, or Scala • Experience with Docker and Kubernetes • Experience with Git, Jenkins, Terraform, and GitHub Actions • Experience with Prometheus, Grafana, ELK Stack, or Splunk • Strong knowledge of SQL and performance optimization techniques • Structured and solution-oriented working style • Strong communication and collaboration skills within interdisciplinary teams • Ability to document and explain complex technical processes clearly

🏖️ Benefits

• International and agile work environment • Diversity, creativity, and collaboration • Opportunity to work on state-of-the-art technologies including Kubernetes and Apache Iceberg • Work on scalable, stable, and performance-focused data infrastructure • Involvement in modernizing the platform by 2026 • Work with artificial intelligence and machine learning services in the finance domain