Senior Data Engineer/Spark Developer

Job Overview

An established accounting firm seeks a senior-level data engineering professional to design, develop and maintain scalable Apache Spark applications. The person in this role will define and enforce coding standards, conduct code reviews, optimise data processing workflows, and liaise regularly with the client and cross-functional teams. Remote working is available.

Responsibilities

  • Establish, document and enforce best practices and coding standards across the project.
  • Conduct thorough code reviews to ensure high code quality and compliance with established guidelines.
  • Design, develop and maintain robust, scalable Spark applications for large-scale data processing.
  • Write clean, maintainable and efficient code following accepted engineering practices.
  • Optimise code and data pipelines for performance and scalability, ensuring efficient handling of columnar formats.
  • Develop and maintain Delta Table and Parquet-based data workflows where applicable.
  • Collaborate with cross-functional teams to deliver reliable software solutions and integrate with microservices architectures.
  • Identify, diagnose and resolve technical issues to maintain application reliability and performance.
  • Create and maintain comprehensive technical documentation for code, processes and operational workflows.
  • Manage day-to-day operational flow and communicate clearly with team members and stakeholders.
  • Maintain regular communication with the client to align requirements, progress and deliverables.

Qualifications

  • Minimum 7 years of hands-on experience in software development, with a strong focus on data engineering.
  • Extensive experience with Apache Spark and working knowledge of Databricks and/or Azure Synapse/Fabric.
  • Proficiency in Python, including strong data-manipulation skills using Pandas and/or Polars.
  • Practical experience with columnar data storage formats, especially Parquet, and working with Delta Tables.
  • Proven expertise in data processing, analysis and transformation workflows at scale.
  • Solid understanding of microservices architecture and experience implementing scalable solutions.
  • Strong analytical and problem-solving skills with a detail-oriented approach.
  • Excellent organisational skills and the ability to self-manage, prioritise tasks and meet tight deadlines.
  • Effective communication skills for collaboration with internal teams and external clients.

Benefits

  • Unique TEAL culture: relationship- and respect-driven community in a non-corporate atmosphere.
  • Agile working model with minimal bureaucracy.
  • Company integration trips to various locations in Europe for all employees.
  • Activities supporting employee well-being and health.
  • Luxmed Gold Extended medical care and Multisport Plus benefit.
ID: 543 job_post.published_on: 21/05/2026
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