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Middle Software Engineer - Query Engine / Data Platform

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Remote- full time- Posted July 30, 2026- via djinni.co

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Level: Middle Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours: EU business hours, shifted 2-3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg - enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Middle-level Software Engineer to work on the core query engine of a large-scale distributed data platform. You will develop features across query planning, optimization, and execution, contribute to performance-critical components, and help evolve the platform's ability to process massive analytical workloads across heterogeneous data sources.

This is a systems-level, backend engineering role focused on distributed data processing internals - not application development or CRUD services.

Responsibilities

  • Develop and maintain features across the query engine - planning, optimization, execution, and data access layers.
  • Write high-quality, performance-conscious code in Java and/or C++.
  • Work with SQL semantics, query plans, and execution operators over large-scale distributed data.
  • Integrate with columnar formats, open table formats, and connectivity drivers used across the platform.
  • Contribute to CI/CD pipelines and automated testing - participate in build, test, and release workflows in Jenkins.
  • Deploy and validate work in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker.
  • Debug complex issues spanning query planning, distributed execution, memory management, and I/O.
  • Collaborate closely with US-based engineering teams on design reviews, code reviews, and technical decisions.

Required Qualifications

  • Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
  • Programming: Strong proficiency in Java or C++, with solid OOP and software design fundamentals. Candidates comfortable with both are especially valued.
  • SQL & Data: Strong SQL skills and solid understanding of relational and analytical data systems, including query execution concepts.
  • Data processing systems experience: Hands-on experience with data processing systems - query engines, distributed databases, ETL/ELT frameworks, or analytical platforms.
  • Engineering experience: 3+ years in backend/systems software engineering.
  • CI/CD & DevOps basics: Practical experience with Jenkins pipelines and modern development workflows.
  • Containers: Working knowledge of Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency).
  • Cloud: Comfortable operating in at least one major cloud (GCP, AWS, or Azure).
  • Version Control: Confident with Git / GitHub workflows.
  • English: Upper-Intermediate or higher (B2+) - daily written and verbal communication with a US-based engineering team.
  • Availability: Able to work EU hours with a 2-3 hour shift toward US West Coast time to ensure daily overlap with the client team.

Desired Skills

  • Experience with Apache Arrow (columnar in-memory format).
  • Familiarity with Apache Calcite (SQL parsing, planning, optimization framework).
  • Exposure to Gandiva or LLVM-based expression compilation.
  • Experience with open table formats - Apache Iceberg, Delta Lake, or Hudi.
  • Familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
  • Understanding of query planning, optimization, and execution internals.
  • Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
  • Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
  • IaC tools such as Terraform.
  • Experience with performance profiling and optimization of latency-sensitive systems.
    Please note: We can consider only candidates currently residing in the EU, EEA, or the UK.
    Please note: We can consider only candidates currently residing in the EU, EEA, or the UK

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